About the Department

The Department of Artificial Intelligence & Machine Learning (AI&ML) was established in 2021 with an intake of 120 students to address the growing demand for professionals in the rapidly evolving fields of Artificial Intelligence, Machine Learning, and Data Science.

The department is committed to providing quality education through a curriculum that integrates core computer science concepts with emerging AI technologies. Students are equipped with the knowledge and practical skills required to design intelligent systems and solve real-world challenges using data-driven approaches.

The department is supported by state-of-the-art computer laboratories featuring modern computing infrastructure, high-speed internet connectivity, and industry-relevant software tools. These facilities enable hands-on learning in areas such as Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Data Analytics, and Generative AI.

Our experienced faculty members actively engage in teaching, research, innovation, and industry collaboration to ensure students remain aligned with current technological advancements. The department regularly organizes workshops, guest lectures, hackathons, internships, certification programs, and technical events to enhance students’ professional and technical competencies.

With a strong emphasis on academic excellence, practical learning, innovation, and employability, the Department of AI&ML strives to develop skilled engineers capable of contributing to the advancement of intelligent technologies and meeting the challenges of the digital era.

 

HEAD OF THE DEPARTMENT

Dr. G. Kumar M.Tech., Ph.D., M.I.E.E.E., M.C.S.I.
HOD & Associate Professor
Mobile: +91 90300 46862
Email: hod.ai_ml@jbiet.edu.in

Vision And Mission

VISION:

To become a Centre of Excellence in AI&ML, shaping professionals obliging to the research and proficient needs of national and international organizations and to bring up innovative ideas to solve real time problems through continuous research, innovation, and industry steered curriculum.

 

MISSION:

M1: To transform the students into technologically proficient and help them to absorb the innovative spirit.

M2: To impart premier quality, skill-based and value-based education to the students in the field of Artificial Intelligence and Machine Learning.

M3: To identify corporate requirements and enrich the students’ expertise with a strong theoretical and practical backdrop having an emphasis on hardware and software development with social ethics.

PEO's & PO's

Program Educational Objectives (PEOs)

PEO1

To Formulate, analyse and solve Engineering problems with strong foundation in Mathematical, Scientific, Engineering fundamentals and modern AI&ML practices through advanced curriculum.

PEO2

Analyze the requirements, realize the technical specification and design the Engineering solutions by applying artificial intelligence and machine learning theory and principles.

PEO3

Demonstrate technical skills, competency in AI&ML and promote collaborative learning and team work spirit through multi-disciplinary projects and diverse professional activities along with imbibing soft skills and ethics.

 

Program Outcomes and Program Specific Outcomes of AI&ML Department (POs & PSOs)

PO1: Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.

PO2: Problem Analysis: Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3: Design / Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.

PO4: Conduct investigations of complex problems: using research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of information to provide valid conclusions.

PO5: Modern Tool Usage: Create, select, and apply appropriate techniques, resources and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6: The Engineer and Society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues, and the consequent responsibilities relevant to professional engineering practice.

PO7: Environment and Sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.

PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.

PO9: Individual and Teamwork: Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.

PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11: Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12: Life-long Learning: Recognize the need for and have the preparation and ability to engage in independent and life- long learning in the broadest context of technological change. Any signatory needs to provide an overview of its learning outcomes and confirm that compliance of programs.

 

PSO1

The ability to understand, analyse and demonstrate the knowledge of human cognition, Artificial Intelligence, Machine Learning and data science in terms of real world problems to meet the challenges of the future.

PSO2

The ability to develop computational knowledge and project development skills using innovative tools and techniques to solve problems in the areas related to Deep Learning, Machine learning, Artificial Intelligence.

Faculty Details

S.No

Name of the Faculty

Designation

1

Dr. Gurrampally Kumar

Associate Professor & HOD

2

DR. AKHEEL MOHAMMED

Associate Professor

3

SHRAVAN KUMAR BOMMALAKUNTA

Associate Professor

4

AMARNADH

Assistant Professor

5

KHALIQ ABDUL SYED

Assistant Professor

6

CHANDRASHEKHAR REDDY UDITHYALA

Assistant Professor

7

SATHISHKUMAR SATHISHKUMAR

Assistant Professor

8

MD MAHEBUB ALI

Assistant Professor

9

BHUVAN BHEEMANA

Assistant Professor

10

INTESAR FATIMA

Assistant Professor

11

SHAIK ZUBAIR

Assistant Professor

12

B SANDHYA RANI

Assistant Professor

13

MARIA DIVYA TEJA PASALA

Assistant Professor

14

RADHIKA REDDY. DEVARAPALLI

Assistant Professor

15

V KOTESWARAMMA

Assistant Professor

16

UMME HANI SARA

Assistant Professor

17

M. MAHESH KUMAR

Assistant Professor

18

MAILAPALLI PURUSHOTHAM

Assistant Professor

19

DEVDAS

Assistant Professor

20

V B PRAVALIKA

Assistant Professor

21

B SANGEETHA

Assistant Professor

Course Materials

SL.NO

Subject

Course Material

1

Data Structures Lab (DS)

Download Notes

2

Database Management Systems Lab (DBMS)

Download Notes

3

Python programming Lab (PP)

Download Notes

 

II B.Tech II Semester

SL.NO

Subject

Course Material

1

Machine Learning Lab Observation

Download Notes

2

Object Oriented Programming Through Java Lab

Download Notes

Technical Club

Machine Learning Mavericks Club

Exploring, Learning, Innovating Responsibly with Machine Learning

Vision:

To create a community of learners who are passionate about exploring and implementing machine learning technologies to solve real-world problems and drive innovation.

Mission:

  1. To provide a platform for students to learn and implement machine learning technologies in real-world scenarios.
  2. To organize technical workshops, seminars, and hackathons to enhance the technical skills of members.
  3. To encourage members to participate in machine learning competitions and projects.
  4. To collaborate with industry experts and academia to bring real-world experiences and knowledge to the club.
  5. To foster a culture of innovation and creativity in the field of machine learning and its applications.
  6. To provide opportunities for members to network with like-minded individuals and industry professionals.
  7. To promote the use of machine learning technologies for social good and community development.

(Overall, the Machine Learning Mavericks student club aims to provide a supportive community for students to explore, learn, and apply machine learning technologies to solve real-world problems and contribute to the field of AI and ML.)

 

Faculty Co-ordinator:

Mr. S. Sathish Kumar (Ph.D.), Assistant Professor, AI&ML Department

 

Student Co-ordinators:

AI&ML - Section A

Mr. B. Chandrashekar

Mr. Syed Faizanuddin

AI&ML - Section B

Mr. Om Verma

Mr. Koushik Pingilli

Faculty Achievements

ACADEMIC YEAR ­­- 2025-2026

S.No

Title

Name of the Authors

Details of the Proceedings

1

Rice Leaf Disease Detection of Multi-Class Classification Model Using VGG16 and Inception V3 Technology

Dr. Amit Gupta

Dr. Amit Gupta, “Rice Leaf Disease Detection of Multi-Class Classification Model Using VGG16 and Inception V3 Technology,” presented at the International Conference on Advanced Computing Systems and Intelligent Communication Engineering (ICACSICE 2026), Sambhram Institute of Technology, Bengaluru, India, 27–28 March 2026.

2

Emotion Detection Framework for Mental Health Monitoring Using Reservoir Computing

Dr. Amit Gupta

Dr. Amit Gupta, “Emotion Detection Framework for Mental Health Monitoring Using Reservoir Computing,” presented at the International Conference on Advanced Computing Systems and Intelligent Communication Engineering (ICACSICE 2026), Sambhram Institute of Technology, Bengaluru, India, 27–28 March 2026.

3

ECG Rogation Lung Cancer Detection Using CNN Technique

Dr. Amit Gupta

Amit Gupta, Nidubrolu Triveka, Intesar Fatima, K. Chandrika Reddy, Syed …, “ECG Rogation Lung Cancer Detection Using CNN Technique,” AIP Conference Proceedings, vol. 3376, no. 1, 2026.

4

Distinguishing Authentic and Manipulated Online Hotel Ratings through Machine Learning and Deep Learning Approaches

Mr. S. Sathish Kumar

S.S.Kumar et al., “Distinguishing Authentic and Manipulated Online Hotel Ratings through Machine Learning and Deep Learning Approaches,” AIP Conference Proceedings, vol. 3376, no. 1, 2026.

5

Securing Data and Identity through Machine Learning in Smart Systems Using Internet of Things with Blockchain Technology

Dr. Amit Gupta

Dr. Amit Gupta, “Securing Data and Identity through Machine Learning in Smart Systems Using Internet of Things with Blockchain Technology,” presented at the International Conference on Advanced Computing Systems and Intelligent Communication Engineering (ICACSICE 2026), Sambhram Institute of Technology, Bengaluru, India, 27–28 March 2026.

6

Real-Time Crowd Anomaly Detection Using Spatio-Temporal ConvLSTM Autoencoders

Mrs.Umme Hani Sara

Umme Hani Sara et al., IJARST, vol. 16, no. 4, pp. 1–10, 2026, doi: 10.48047/IJARST/V16/I04/1

7

Gesture Controlled Smart Home Using Arduino and Deep Learning Techniques

Mr. S. Sathish Kumar

S. Sathish Kumar et al., IJARST, vol. 16, no. 4, pp. 11–18, 2026, doi: 10.48047/IJARST/V16/I04/2

8

Design and Implementation of Blockchain Based Stable Coin

Mr. Moshin MD

Moshin MD et al., IJARST, vol. 16, no. 4, pp. 19–28, 2026, doi: 10.48047/IJARST/V16/I04/3

9

Deep Learning based Image Segmentation and Classification of Lychee Leaf Diseases

Mr. J. Bharath Kumar

J. Bharath Kumar et al., IJARST, vol. 16, no. 4, pp. 29–33, 2026, doi: 10.48047/IJARST/V16/I04/4

10

Chatbot for Student Grievance Redressal Using RASA

Mr. S. Sathish Kumar

S. Sathish Kumar et al., IJARST, vol. 16, no. 4, pp. 34–41, 2026, doi: 10.48047/IJARST/V16/I04/5

11

Text-Guided Open Vocabulary Object Detection using Vision-Language Models

Mr. Devdas

Devdas et al., IJARST, vol. 16, no. 4, pp. 42–50, 2026, doi: 10.48047/IJARST/V16/I04/6

12

Air Quality Prediction for Delhi Using Machine Learning

Mr. Vinayaka Prashanthi

Vinayaka Prashanthi et al., IJARST, vol. 16, no. 4, pp. 51–59, 2026, doi: 10.48047/IJARST/V16/I04/7

13

Smart Traffic Light Control Using SUMO and Deep Reinforcement Learning

Mr. M. Purushotham

M. Purushotham et al., IJARST, vol. 16, no. 4, pp. 60–68, 2026, doi: 10.48047/IJARST/V16/I04/8

14

Plant Disease Detection Using PlantVillage Dataset

Dr. Gurrampally Kumar

Dr. Gurrampally Kumar et al., IJARST, vol. 16, no. 4, pp. 69–76, 2026, doi: 10.48047/IJARST/V16/I04/9

15

Network Intrusion Detection Using Ensemble Machine Learning Techniques

Mr. M. Mahesh Kumar

M. Mahesh Kumar et al., IJARST, vol. 16, no. 4, pp. 77–89, 2026, doi: 10.48047/IJARST/V16/I04/10

16

Monocular 3D Vehicle Detection and 6-DoF Pose Estimation using Stacked Hourglass Networks and Depth Anything V2

Mrs. G. Swapna

G. Swapna et al., IJARST, vol. 16, no. 4, pp. 90–97, 2026, doi: 10.48047/IJARST/V16/I04/11

17

Air Quality Prediction Using Machine Learning

Ms. Vanakayalapati Koteswaramma

Vanakayalapati Koteswaramma et al., IJARST, vol. 16, no. 4, pp. 98–104, 2026, doi: 10.48047/IJARST/V16/I04/12

18

Real-Time Pedestrian Detection Using YOLOv8 with OpenVINO Optimization

Mr. Md. Mahebub Ali

Md. Mahebub Ali et al., IJARST, vol. 16, no. 4, pp. 105–113, 2026, doi: 10.48047/IJARST/V16/I04/13

19

Phishing Email Detection using BERT

Mrs. G. Swapna

G. Swapna et al., IJARST, vol. 16, no. 4, pp. 114–123, 2026, doi: 10.48047/IJARST/V16/I04/14

20

ViT-Powered Underwater Trash Classification and Detection System

Mr. Chandrashekar Reddy

Chandrashekar Reddy et al., IJARST, vol. 16, no. 4, pp. 124–131, 2026, doi: 10.48047/IJARST/V16/I04/15

21

Real-Time Cognitive State Monitoring System Using Facial Micro-Behavior and Temporal Eye Analysis

Dr. Gurrampally Kumar

Dr. Gurrampally Kumar et al., IJARST, vol. 16, no. 4, pp. 132–138, 2026, doi: 10.48047/IJARST/V16/I04/16

22

Secure Zero Knowledge Cloud Based Credential Management System with Client Side Cryptographic Control

Mrs. G. Swapna

G. Swapna et al., IJARST, vol. 16, no. 4, pp. 139–146, 2026, doi: 10.48047/IJARST/V16/I04/17

23

CO2 Emission Prediction and Comparison System Using XGBoost Machine Learning

Mr. S. Sathish Kumar

S. Sathish Kumar et al., IJARST, vol. 16, no. 4, pp. 147–154, 2026, doi: 10.48047/IJARST/V16/I04/18

24

WissenHaus Learning Management System

Ms. Bijarania Sangeetha

Bijarania Sangeetha et al., IJARST, vol. 16, no. 4, pp. 155–159, 2026, doi: 10.48047/IJARST/V16/I04/19

25

Crop Yield Prediction using Weather Data and Machine Learning Techniques

Mr. S. Sathish Kumar

S. Sathish Kumar et al., IJARST, vol. 16, no. 4, pp. 160–169, 2026, doi: 10.48047/IJARST/V16/I04/20

26

Comparative Analysis of Machine Learning and Deep Learning Techniques for Sarcasm Detection in Indian Political Headlines

Mr. S. Sathish Kumar

S. Sathish Kumar et al., IJARST, vol. 16, no. 4, pp. 170–177, 2026, doi: 10.48047/IJARST/V16/I04/21

27

ClassPic: AI-Powered Face Recognition System for Automated Attendance

Ms. Intesar Fatima

Intesar Fatima et al., IJARST, vol. 16, no. 4, pp. 178–183, 2026, doi: 10.48047/IJARST/V16/I04/22

28

Ship Extraction Web Application using CNN Sliding Window

Mrs. D. Radhika Reddy

D. Radhika Reddy et al., IJARST, vol. 16, no. 4, pp. 184–190, 2026, doi: 10.48047/IJARST/V16/I04/23

29

Weather Forecasting Using Long Short-Term Memory (LSTM)

Mr. Md. Mahebub Ali

Md. Mahebub Ali et al., IJARST, vol. 16, no. 4, pp. 191–195, 2026, doi: 10.48047/IJARST/V16/I04/24

30

Emotion Detection from Tweets Using BERT-Based Deep Learning

Mr. Md. Mahebub Ali

Ramsai B et al., IJARST, vol. 16, no. 4, pp. 196–201, 2026, doi: 10.48047/IJARST/V16/I04/25

31

Attention-Enhanced Generative Adversarial Network for Image Denoising

Mr. S. Sathish Kumar

S. Sathish Kumar et al., IJARST, vol. 16, no. 4, pp. 202–208, 2026, doi: 10.48047/IJARST/V16/I04/26

32

AI-Powered Repository Analysis and Visualization System using RAG & LLMs

Mr. S. Zubair

S. Zubair et al., IJARST, vol. 16, no. 4, pp. 209–216, 2026, doi: 10.48047/IJARST/V16/I04/27

33

Detection of AI-Generated Text Using DL Techniques

Mr. M. Mahesh

M. Mahesh et al., IJARST, vol. 16, no. 4, pp. 217–222, 2026, doi: 10.48047/IJARST/V16/I04/28

34

Smart Theft Detection Using Advance Machine Learning Using Quantum

Dr. Akheel Mohammed

Dr. Akheel Mohammed et al., IJARST, vol. 16, no. 4, pp. 223–228, 2026, doi: 10.48047/IJARST/V16/I04/29

35

DeepFake Detection using CNN-LSTM Hybrid Model

Mr. M. Purushotham

M. Purushotham et al., IJARST, vol. 16, no. 4, pp. 229–234, 2026, doi: 10.48047/IJARST/V16/I04/30

36

AI-Based Intelligent System for Early Detection of Heart Disease using 10 Year CHD Risk Prediction

Ms. Intesar Fatima

Intesar Fatima et al., IJARST, vol. 16, no. 4, pp. 235–241, 2026, doi: 10.48047/IJARST/V16/I04/31

37

Real-Time Driver Drowsiness Detection System Using Eye Aspect Ratio and CNN-Based Eye State Classification

Mr. Md. Mahebub Ali

Md. Mahebub Ali et al., IJARST, vol. 16, no. 4, pp. 242–248, 2026, doi: 10.48047/IJARST/V16/I04/32

38

Voice-Lingo: A Real-Time Multilingual Voice Translation System

Mr. S. Sathish Kumar

S. Sathish Kumar et al., IJARST, vol. 16, no. 4, pp. 249–253, 2026, doi: 10.48047/IJARST/V16/I04/33

39

ResQlink - The Emergency Response System

Mr. J. Bharath Kumar

J. Bharath Kumar et al., IJARST, vol. 16, no. 4, pp. 254–259, 2026, doi: 10.48047/IJARST/V16/I04/34

40

Adversarial Attacks on Agentic AI Systems: Mechanisms, Impacts, and Defense Strategies

Dr. Akheel Mohammad

Dr. A. Mohammed, “Adversarial Attacks on Agentic AI Systems: Mechanisms, Impacts, and Defense Strategies,” International Journal of Science and Research (IJSR), vol. 15, no. 2, pp. 988–991, Feb. 2026, doi: 10.21275/SR26216005631

41

Smart Agriculture used for Insect Detection Framework Edge Computing Technology

Dr. Amit Gupta

Raju Kolluri et al., “Smart Agriculture used for Insect Detection Framework Edge Computing Technology,” Proceedings of the 2025 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN), IEEE, 2025, pp. 514–519, doi: 10.1109/EmergIN67762.2025.11450658

42

Early-Stage Different Multi-Vitamin Deficiency Detection in Human Body Using CNN

M. Mahesh Kumar, S. Sathish Kumar,

Dr. Amit Gupta

Abdul Rasool MD et al., “Early-Stage Different Multi-Vitamin Deficiency Detection in Human Body Using CNN,” Proceedings of the 2025 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN), IEEE, 2025, pp. 223–229, doi: 10.1109/EmergIN67762.2025.11450816

43

CNN-BiGRU Model Used for Intelligent Smart Farming Agriculture in Rural Areas India

Mr. S. Sathish Kumar

&

Dr. G. Amit Gupta

Proceedings of the 2025 International Conference on Advances in Next-Gen Computer Science (ICANCS), Bangalore, India, IEEE, 2025, pp. 1–6, DOI: 10.1109/ICANCS65819.2025.11377832

43

Artificial Intelligence GIS Algorithm Based on Deep Learning Technology for Land and Water Detection

Dr. G. Kumar &

Dr. G. Amit Gupta

Proceedings of the 2025 International Conference on Advances in Next-Gen Computer Science (ICANCS), Bangalore, India, IEEE, 2025, pp. 1–7, DOI: 10.1109/ICANCS65819.2025.11377906

44

Smart Healthcare Systems with IoT-Based used Hunger Games Search Optimization and Deep Learning

Dr. G. Amit Gupta

Proceedings of the 2025 Global Conference on Information Technology and Communication Networks (GITCON), Belagavi, India, IEEE, 2025, pp. 1–7, DOI: 10.1109/GITCON65266.2025.11377492

45

Tea Leaves Disease Multi Class Classification using MobileNet-V2

Dr. G. Amit Gupta

Proceedings of the 2025 Global Conference on Information Technology and Communication Networks (GITCON), Belagavi, India, IEEE, 2025, pp. 1–5, DOI: 10.1109/GITCON65266.2025.11377940

46

Skin Burn Severity Classification using Ensemble Learning Method

Dr. G. Kumar &

Dr. G. Amit Gupta

Proceedings of the 2025 2nd International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI), Raipur, India, IEEE, 2025, pp. 1–5, DOI: 10.1109/ICAIIHI67124.2025.11403090

47

Smart Mobile Phone Malware Detection with KELM Model

Amit Gupta

2026 International Conference on Smart Futuristic Technology (ICSFT), 2nd - 3rd January 2026, IEEE Bangalore Section

48

Planar Sinuous Antenna Operating in the Wide Band Frequency Range

Amit Gupta

2026 International Conference on Smart Futuristic Technology (ICSFT), 2nd - 3rd January 2026,

IEEE Bangalore Section

49

Sustainable Agriculture for Crop Prediction Using Deep learning Parameter

Amit Gupta

2026 International Conference on Smart Futuristic Technology (ICSFT), 2nd - 3rd January 2026, IEEE Bangalore Section

50

Deep Learning Approach with UAV and Satellite Imagery using 5G Technology in Flood Area Segmentation in Disaster Management

S. Sathish Kumar & Amit Gupta

2026 International Conference on Smart Futuristic Technology (ICSFT), 2nd - 3rd January 2026, IEEE Bangalore Section

51

Image Segmentation Used Different Machine and Deep Learning Technology for Breast

Cancer Diagnosis

Amit Gupta

2026 International Conference on Smart Futuristic Technology (ICSFT), 2nd - 3rd January 2026,

IEEE Bangalore Section

 

Sl.No.

Name of the Faculty

Date

Type of achievement

1

Dr. Akheel Mohammed

25-10-2025

Bharat Education Excellence Award for exemplary contribution in research & education sector

2

Dr. Amit Gupta,

Dr. Gurrampally Kumar

10-07-2025

Obtained an FDP fund from AICTE of Rs. 3,50,000 towards AICTE ATAL Faculty Development Programme (FDP) titled "Machine Learning and Generative AI on Healthcare Innovation

3

Mr. S. Sathish Kumar

14-12-2025

Young Researcher Award from Scientific Laurels

 

ACADEMIC YEAR ­­- 2024-2025

List of R&D Publications (Dr.G.Arun Sampaul Thomas)

https://scholar.google.com/citations?hl=en&user=UU42vyYAAAAJ&view_op=list_works&sortby=pubdate

S.No.

Publication Category

Publication Details

DOI
  1.  

Book Chapter

Arun Sampaul Thomas, et al. (2024). “Unleashing the power of XAI empowering decision-making and overcoming challenges in smart healthcare automation” Explainable AI (XAI) for Sustainable Development: Trends and Applications (1st ed.). CRC Press, June 2024, ISBN: 1040038832, 9781040038833, 334 pages. (Scopus Indexed)

https://doi.org/10.1201/9781003457176.
  1.  

Book Chapter

Arun Sampaul Thomas, et al. (2024). “Artificial Intelligence governance and comprehensibility. In Renewable energy systems” Explainable AI (XAI) for Sustainable Development: Trends and Applications (1st ed.). CRC Press, June 2024, ISBN: 1040038832, 9781040038833. (Scopus Indexed)

https://doi.org/10.1201/9781003457176.
  1.  

Book Chapter

Arun Sampaul Thomas, et al. (2024). “A Review of Green IT, Computing-Enabled, Sustainability-Based Cities: Nurturing Living Standards” Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective (1st ed.). CRC Press (Scopus Indexed), March’24

https://doi.org/10.1201/9781003388814

 

List of R&D Publications (Dr.Amit Gupta)

S.No.

Publication Category

Publication Details

DOI
  1.  

Scopus IEEE Conference

P. S. Rao, S. S. Kumar, N. Habeeb, H. Sharma and A. Gupta, "Chronic Kidney Disease Patients in Predicting Renal Function Decline Integration of Machine Learning Techniques," 2024 4th International Conference on Intelligent Technologies (CONIT), Bangalore, India, 2024, pp. 1-6, doi: 10.1109/CONIT61985.2024.10626029.
keywords: {Training;Machine learning algorithms;Accuracy;Biological system modeling;Transforms;Sensitivity and specificity;Predictive models;Chronic Kidney Disease (CKD);Early Intervention;Prognostic Capabilities;Renal Function Decline;Healthcare Innovation;Patient-specific Data},

https://ieeexplore.ieee.org/document/10626029

 
  1.  

Scopus IEEE Conference

Amit Gupta, Shashi Kant Dargar, Abha Dargar ,Arun Singh Chouhan,” An Effective Investigation On Implementtation Of Different Learning Technique Used For Heart Disease Predection” 11 TH INTERNATIONAL CONFERENCE ON RELABILITY ,INFOCOM TECHNOLOGY AND OPTIMIZATION-2024 ,978-8-3503-5035-7/24, DOI: 10.1109/ICRITO61523.2024.10522150, May’24

https://ieeexplore.ieee.org/document/10522150

 
  1.  

Scopus Journal

Amit Gupta, Movva Pavani,,Shashi Kant Dargar, Abha Dargar,, Arun Singh Chohan,”Improved Extreme Learning Machine Based Hunger Games Search for Automatic IP Configuration and Duplicate Node Detection machine learning”, Journal of Communication, Scopus id ISSN: 1796- 2021 (Online); 2374-4367 (Print), March’24

Doi: 10.12720/jcm.19.3.152-160
  1.  

SCI Journal

Sudheer Mangalampalli, ,Hahmi B, Amit Gupta, Ganesh Reddy Karri, TulikaChakrabarti, Sri Hari Nallamala, Chakrabarti Prasun, Bhuvan Unhelkar, MartinMargala”, Multi Objective Prioritized workflow scheduling using Deep reinforcement based Learning in Cloud Computing” IEEE Access - Manuscript ID Access- 2023-30660, Jan’24

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10382514

 

 

List of R&D Publications (Mr. S. Sathish Kumar)

https://scholar.google.co.in/citations?hl=en&user=N6YTa2MAAAAJ&view_op=list_works&sortby=pubdate

S.No.

Publication Category

Publication Details

DOI
  1.  

Scopus IEEE Conference

P. S. Rao, S. S. Kumar, N. Habeeb, H. Sharma and A. Gupta, "Chronic Kidney Disease Patients in Predicting Renal Function Decline Integration of Machine Learning Techniques," 2024 4th International Conference on Intelligent Technologies (CONIT), Bangalore, India, 2024, pp. 1-6, doi: 10.1109/CONIT61985.2024.10626029.
keywords: {Training;Machine learning algorithms;Accuracy;Biological system modeling;Transforms;Sensitivity and specificity;Predictive models;Chronic Kidney Disease (CKD);Early Intervention;Prognostic Capabilities;Renal Function Decline;Healthcare Innovation;Patient-specific Data},

https://ieeexplore.ieee.org/document/10626029

 
  1.  

Book Chapter

S Sathish Kumar, et al. “A Review of Green IT, Computing-Enabled, Sustainability-Based Cities: Nurturing Living Standards” Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective (1st ed.). CRC Press (Scopus Indexed), March’24

https://doi.org/10.1201/9781003388814

 

Patent Details:

Sl.
No.

Title of Patent

Name of the Faculty

Patent Details
(Application No./Ref. No.
&Date of filing)

Status

1

Attention Mechanism for Improved Memory and Computation Efficiency in Transformer Networks.

 
  1. Dr. G. Arun Sampaul Thomas
  2. Mr. S. Sathish Kumar
  3. Mrs. Asha Jyothi
  4. Mrs. Beulah
  5. Ms. Maryam
  6. Mr. Syed Abdul Khaliq

German Patent

Deutsches Patent – und Markenamt

Application no. 2023110722303100DE

Filed on: 07.11.2023

Published on 11.12.2023

 

Filed and published

2

SELF-ADJUSTING MACHINE LEARNING PIPELINE FOR FINANCIAL FORECASTING
  1. Dr. G. Arun Sampaul Thomas
  2. Mr. S. Sathish Kumar
  3. Mrs. Maria Shanthi
  4. Mrs. Novera Habeeb
  5. Mrs. Beulah

Indian Patent

Application No.202341074353 A,

Date of filing of Application :31/10/2023

Publication Date: 15/12/2023

Filed and published
 

Sl. No

Name of the Faculty & Designation

Date

Type of achievement

1

Dr. G. Arun Sampaul Thomas

Mr. S. Sathish Kumar

Mrs. Beulah J Karthikeyan

Nov’24

Dr. Arun Sampaul Thomas. G., Sathish Kumar, S., Beulah Karthikeyan J. (2024). Digital Infrastructure Assessment and Digital Asset Management: Tools for Decomposition and Efficient Communication in the Fashion Industry. Illustrating Digital Innovations Towards Intelligent Fashion. Information Systems Engineering and Management, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-031-71052-0_25.

Springer Book Chapter (Scopus Indexed)

2

Dr. G. Arun Sampaul Thomas

Dr. Amit Gupta

Nov’24

Dr. Arun Sampaul Thomas. G, Dr. Amit Gupta et al., "Emotion Classification in Voice Data Using Different Machine Learning Methods," 2024 Second International Conference on Advances in Information Technology (ICAIT), Chikkamagaluru, Karnataka, India, 2024, pp. 1-7, doi: 10.1109/ICAIT61638.2024.10690711.

(IEEE Proceedings – Scopus Indexed)

https://ieeexplore.ieee.org/document/10690711

3

Dr. G. Arun Sampaul Thomas

Dr. Amit Gupta

Nov’24

Dr. Arun Sampaul Thomas. G, Dr. Amit Gupta et al., "Machine Learning Technique Enabled Learning Methodology for Human Depression Prediction," 2024 Second International Conference on Advances in Information Technology (ICAIT), Chikkamagaluru, Karnataka, India, 2024, pp. 1-6, doi: 10.1109/ICAIT61638.2024.10690553.

(IEEE Proceedings – Scopus Indexed)

https://ieeexplore.ieee.org/document/10690553

 

 

ACADEMIC YEAR ­­- 2023-2024

 

List of R&D Publications (Dr.G.Arun Sampaul Thomas)

https://scholar.google.com/citations?hl=en&user=UU42vyYAAAAJ&view_op=list_works&sortby=pubdate

1

Dr. G. Arun Sampaul Thomas

&

Mr. S. Sathish Kumar, et al..

 “Predictive Analytics of Climate Change The Future of Global Warming Lies in Data Analytics” (Dec 2023)..

Predictive Analytics in Smart Agriculture (1st ed.)

eBook ISBN: 9781003391302

CRC Press. (Scopus Indexed)

2

Dr. G. Arun Sampaul Thomas, et al..

 

“Broad Framework of Digital Twins in Agricultural Domain” (Dec 2023).

Predictive Analytics in Smart Agriculture (1st ed.)

eBook ISBN: 9781003391302

CRC Press. (Scopus Indexed)

3

Dr. G. Arun Sampaul Thomas

&

Mr. S. Sathish Kumar, et al..
  • Future of Medical Research with a Data-driven Federated Learning Approach” Handbook on Federated Learning: Advances, Applications and Opportunities (1st ed.). (Dec 23)

Handbook on Federated Learning: Advances, Applications and Opportunities (1st ed.).

eBook ISBN: 9781003384854

CRC Press. (Scopus Indexed)

 

 

 

Sl. No

Name of the Faculty & Designation

Date

Type of achievement

1

Dr.G. Arun Sampaul Thomas

06-07-2023

Certificate of Appreciation from NPTEL for being Active SPOC of Swayam-NPTEL Local Chapter [Jan- April 2023]

 

Papers Published by faculty in Journals:

Sl.
No.

Name of the Author(s)

Name of the Journal

Title of the paper

Indexed in

Vol. No and Page nos.

ISBN/ ISSN

Date
  1.  

Dr.G. Arun Sampaul Thomas

&

Mr.S.Sathish Kumar

International Journal of Image and Graphics.

Classification and Analysis of Pistachio Species Through Neural Embedding-Based Feature Extraction and Small-Scale Machine Learning Techniques

Scopus

Online ready

Online ready

02-03-2023

 

Patent Details:

Sl.
No.

Title of Patent

Name of the Faculty

Patent Details
(Application No./Ref. No.
&Date of filing)

Status

1

Attention Mechanism for Improved Memory and Computation Efficiency in Transformer Networks.

 
  1. Dr. G. Arun Sampaul Thomas
  2. Mr. S. Sathish Kumar
  3. Mrs. Asha Jyothi
  4. Mrs. Beulah
  5. Ms. Maryam
  6. Mr. Syed Abdul Khaliq

German Patent

Deutsches Patent – und Markenamt

Application no. 2023110722303100DE

Filed on: 07.11.2023

Published on 11.12.2023

 

Filed and published

2

SELF-ADJUSTING MACHINE LEARNING PIPELINE FOR FINANCIAL FORECASTING
  1. Dr. G. Arun Sampaul Thomas
  2. Mr. S. Sathish Kumar
  3. Mrs. Maria Shanthi
  4. Mrs. Novera Habeeb
  5. Mrs. Beulah

Indian Patent

Application No.202341074353 A,

Date of filing of Application :31/10/2023

Publication Date: 15/12/2023

Filed and published
 
 
 

AI&ML – Staff Sports Achievements

Seminars/FDPs/Workshops Organized

Academic Year 2025-2026

Sl.No.

Name of the Event

Date

Details

1

YANTRA YUGANTAR -2025

12-08-2025

View Details

2

BATTLE QUIZ 2025

20-11-2025

View Details

3

Rangoli Competition 1st Price

14-01-2026

View Details

4

INDUSTRIAL VISIT TO T-HUB

22-01-2026

View Details

5

GUEST LECTURES DELIVERED BY AI&ML FACULTY

24-01-2026

View Details

6

A TWO-DAY IBM SKILLSBUILD WORKSHOP

30-01-2026 to 31-01-2026

View Details

7

GUEST LECTURES DELIVERED BY AI&ML FACULTY - FEB

05-02-2026

View Details

8

One-Week FDP on AI Tools for Research Methodology

17-02-2026 to 21-02-2026

View Details

9

MODEL FORGE 2026 [ONE DAY HACKATHON EVENT)

25-02-2026

View Details

10

DARTS TOURNAMENT 2026 ORGANISED BY MACHINE LEARNING MAVERICKS CLUB

26-02-2026

View Details

11

ACT. DRAW. DECODE ORGANISED BY MACHINE LEARNING MAVERICKS CLUB

27-02-2026

View Details

12

FACULTY OUTREACH ACTIVITIES

28-02-2026

View Details

13

PROJECT EXPO VISIT VIGYAN VAIBHAV 2.0

28-02-2026

View Details

14

NEURO DEBUG 2026 - Machine Learning Mavericks Club

13-03-2026 & 16-03-2026

View Details

15

MINI PROJECT ORIENTATION FOR III YEAR AIML AND CSM STUDENTS

30-03-2026

View Details

16

INDUSTRIAL VISITS - National Remote Sensing Center, Hyderabad

08-04-2026

View Details

 

Academic Year 2024-2025

Sl.No.

Name of the Event

Date

Details

1

DREAMBRUSH 2K25

28th February 2025

View Details

2

AIVERSE 2K25

07th March 2025

View Details

 

Seminars / Workshops / Training Programs Organized

Sl.No.

Name of the Expert and Affiliation

Lecture Topic

Date(s)
  1.  

Dr. I. S. Hephzi Punithavathi

Associate Professor - CSE(AI&ML) Department

VJIT, Hyderabad

Academic Expert Guest Lecture on “Machine Learning and its Applications”

18-12-2024
  1.  

Mrs. Laxmi Hugar

Assistant Professor – IT Department, VJIT, Hyderabad

Academic Expert Guest Lecture on “Cloud Infrastructure and its services”

18-12-2024
  1.  

Mr. Y. Prabhu Kumar

Associate Professor – CSE Department, VJIT, Hyderabad

Academic Expert Guest Lecture on “Future of AI with General Adversarial Networks”

20-12-2024
  1.  

Mrs. Uma Mythraye

Assistant Professor – Department of AI, VJIT, Hyderabad

Academic Expert Guest Lecture on “Chat GPT and its Applications”

20-12-2024
  1.  

Mr. Md Shamshad

Associate Professor – AI&ML Department, KGRCET, Hyderabad

Academic Expert Guest Lecture on “Human Computer Interaction and its Applications”

21-12-2024
  1.  

Ms. Parul Gupta

Associate Professor –Department of AI, VJIT, Hyderabad

Academic Expert Guest Lecture on “AI for Climate Change”

21-12-2024
  1.  

Mr. Devdas

Associate Professor - CSE(AI&ML) Department, KGRCET, Hyderabad

Academic Expert Guest Lecture on “AI for Healthcare”

19-12-2024
  1.  

Mr. Arun

Managing Director, Hyderabad Helping Hand Pvt. Ltd

Nallas Digital Marketing Pvt. Ltd

Seminar Session on “How to plan for startup and Legal& Ethical steps”

29-04-2025

 

 

S. No.

Name of the Coordinator(s)

Designation

Title of the Seminar/ Workshop

Date

Target Group

No. of Beneficiaries

1

Mr. P. Ravi Kumar

Software Engineer Technologies, Hyderabad

Workshop on “Fundamentals of Cloud Computing (AWS)”

20-01-2023

2nd Year Students of AI&ML

140

 

Seminars/ Workshops/ Conference/ FDPs attended by faculty

S.No.

Name of the Faculty

Designation

Title of the Seminar /  Workshop / Conference / FDP

Organized by

Date(s)

From-To

1

Dr.G. Arun Sampaul Thomas

Associate Professor

Deep Dive in Deep Learning Analytics

University of Hyderabad

05-07-2023

2

Dr. Sankara Sarma

Professor

Deep Dive in Deep Learning Analytics

University of Hyderabad

05-07-2023

3

Beulah J Karthikeyan

Assistant Professor

Deep Dive in Deep Learning Analytics

University of Hyderabad

05-07-2023

Student Achievements

ACADEMIC YEAR:2025-2026

  1. The Department of AI&ML at JB Institute of Engineering & Technology (JBIET) proudly congratulate V. Shashikanth, a third-year AI&ML student, on his selection for the National JNTU-H Softball Men's Team. This significant achievement follows his participation in the university team selection trials, representing JBIET with Hall Ticket number 23671A7358. Shashikanth's selection highlights the institution's commitment to fostering both academic excellence in cutting-edge fields like artificial intelligence and high-level athletic performance.

  2. Mr. Akshit and Ms. Vaishnavi, students of III Year CSM-B (CSE – AI & ML), participated in a Bootcamp on 5G Security organized by the Department of Computer Science and Engineering at the Indian Institute of Technology Hyderabad. The program was conducted from 9th March to 13th March 2026 under the initiative of the Ministry of Electronics and Information Technology (MeitY) and the Information Security Education and Awareness (ISEA) program, hosted at the CS Seminar Hall-1, Computer Science Building. Their participation in this prestigious event provided them with exposure to advanced concepts in cybersecurity and next-generation communication systems.

  3. Yanala Vaishnavi Reddy has successfully completed the CCNA (200-301) + Cisco Security Training certification, demonstrating her strong knowledge of computer networking and cybersecurity fundamentals. She has shown remarkable dedication, commitment, and technical proficiency in mastering industry-relevant networking concepts and security practices. This achievement reflects her enthusiasm for continuous learning and professional development. The department congratulates Vaishnavi Reddy on this outstanding accomplishment and wishes her continued success in all her future endeavors

  4. Naikoti Spandana has successfully completed the "Python for Beginners" certification, demonstrating her strong foundation in Python programming and software development fundamentals. She has shown remarkable dedication, enthusiasm, and a commitment to enhancing her technical skills through continuous learning. This achievement reflects her initiative in building programming expertise and preparing for future opportunities in the technology domain. The department congratulates Spandana on this commendable accomplishment and wishes her continued success in all her future endeavors.

  5. Naikoti Spandana has successfully earned the SkillQuest – Data Science Foundation certification, demonstrating her strong understanding of fundamental data science concepts and analytical techniques. She has shown remarkable dedication, perseverance, and a commitment to developing in-demand skills through continuous learning and professional growth. This achievement highlights her enthusiasm for exploring the field of data science and strengthening her technical expertise. The department congratulates Spandana on this outstanding accomplishment and wishes her continued success in all her future academic and professional endeavors.

  6. Jahnavi Goridindla has successfully completed the "Introduction to Business Intelligence" certification, demonstrating her strong understanding of business intelligence concepts, data analysis, and decision-making processes. She has shown remarkable dedication, commitment, and enthusiasm in acquiring industry-relevant knowledge and enhancing her analytical skills. This achievement reflects her passion for continuous learning and professional development in the field of data-driven technologies. The department congratulates Jahnavi on this outstanding accomplishment and wishes her continued success in all her future academic and professional endeavors.

  7. Pati Akshit has successfully completed the CCNA (200-301) + Cisco Security Training certification, demonstrating his strong knowledge of computer networking and cybersecurity fundamentals. He has shown remarkable dedication, commitment, and technical proficiency in mastering industry-relevant networking concepts and security practices. This achievement reflects his enthusiasm for continuous learning and professional development in the field of networking and information security. The department congratulates Akshit on this outstanding accomplishment and wishes him continued success in all his future academic and professional endeavors.

  8. Yanala Vaishnavi Reddy has successfully completed the CCNA (200-301) + Cisco Security Training Certification, demonstrating a strong foundation in computer networking, network administration, and cybersecurity principles. Through her dedication, commitment, and technical aptitude, she has acquired valuable industry-relevant skills in networking technologies, security protocols, and system management. This accomplishment reflects her enthusiasm for continuous learning, professional growth, and excellence in the field of Information Technology. The department highly appreciates her efforts and congratulates Vaishnavi Reddy on this noteworthy achievement. We wish her continued success and many more accomplishments in her academic and professional journey.

  9. The following students have registered for and are currently undergoing an online Python Programming course on Infosys Springboard. Their details, along with progress, are listed below:

  10. Yanala Vaishnavi Reddy has successfully completed the ISEA Phase-III and Center for Cryptography and Cybersecurity sponsored Bootcamp on 5G Security 2026, demonstrating a strong understanding of emerging communication technologies, cybersecurity concepts, and secure network infrastructures. Through her active participation, dedication, and commitment, she successfully completed all assigned tasks and gained valuable insights into advanced security practices and 5G ecosystem challenges.

    This achievement reflects her enthusiasm for continuous learning, technical excellence, and professional development in the fields of cybersecurity and next-generation communication technologies. The department appreciates her sincere efforts and congratulates Vaishnavi Reddy on this commendable accomplishment. We wish her continued success and many more achievements in her academic and professional journey

  11. Pati Akshit has successfully completed the ISEA Phase-III and Center for Cryptography and Cybersecurity sponsored Bootcamp on 5G Security 2026, demonstrating a strong understanding of 5G network security, cybersecurity principles, and emerging communication technologies. He has shown remarkable dedication, commitment, and technical proficiency through active participation in the bootcamp sessions, successful completion of assigned tasks, and a thorough understanding of the concepts covered during the program.

    This achievement reflects his enthusiasm for continuous learning, professional development, and excellence in the field of cybersecurity and next-generation networking technologies. The department congratulates Pati Akshit on this outstanding accomplishment and appreciates his sincere efforts in enhancing his technical knowledge and skills. We wish him continued success and many more achievements in all his future academic and professional endeavors.

  12. A student of III CSM-A, Thammishetti Rohith (Roll No: 23761A6655), has achieved a commendable milestone by qualifying in GATE 2026 (Data Science and Artificial Intelligence). He secured 40 marks, surpassing the qualifying cutoff, and attained an All India Rank (AIR) of 2323 with a GATE score of 514. This accomplishment reflects his strong analytical ability, dedication, and conceptual understanding in emerging domains of AI and Data Science. His success brings pride to the department and serves as an inspiration for fellow students to pursue excellence in competitive examinations and advanced technical fields.

 

 

NPTEL COURSES CONSOLIDATED REPORT(STUDENTS)- SWAYAM NPTEL A.Y 2024-2025

S.No

Course Name

Name

Period of Completion

Department

Certificate Type

1

Cloud Computing

GORRE PRIYA  DHARSHINI

Jul-Oct 2024

III-CSE(AI&ML

Elite

2

Computer Networks and Internet protocal

MADIHA TANVEER

Jan-Apr 2024

III-CSE(AI&ML

Elite

3

Data Structure and Algorithms Using java

YASH TYAGI

Jul-oct 2024

III-CSE(AI&ML

Elite

4

Cloud Computing

C VISHAL GOUD

Jul-oct 2024

IV-AIML

Elite

5

Python for Data Science

G VENKATESH

Jul-Aug 2024

III – AIML(B)

Elite

6

Introducation to Machine Learning

NALLA  CHATANYA

Jul-Oct 2024

III – AIML(B)

PASS

7

Deep Learning

A SAMPATH

Jul-Oct 2024

III – AIML(B)

PASS

8

Programming in Java

MEKALA LOKESH

Jul-Oct 2024

III – AIML(B)

PASS

9

Deep Learning

MEREEDY BHUVANA REDDY

Jul-Oct 2024

III – AIML(B)

PASS

10

Deep Learning

SAI SNEHITHA ARRAVELLY

Jul-Oct 2024

III – AIML(B)

PASS

11

Programming in Java

PREM CHAND KANDULA

Jul-Oct 2024

III – AIML(B)

PASS

12

Programming in Java

A SAMPATH

Jan-Apr 2024

III – AIML(B)

PASS

13

Introducation to Machine Learning

MEREEDY BHUVANA REDDY

Jul-Oct 2024

III – AIML(B)

Elite

14

Programming in Java

SAI SNEHITHA ARRAVELLY

Jan-Apr 2024

III – AIML(B)

PASS

15.

Programming in Java

N NAGESHWARI

Jul-Oct 2024

III – AIML(B)

PASS

 

Expert lectures organized for students:

Sl.No.

Name of the Expert and Affiliation

Lecture Topic

Target group

Date(s)

1

S. Sathish Kumar, JBIET

Goal Setting

Students of AI&ML

29-10-2022
 

 

Guest lectures organized for students:

Sl.No.

Name of the Guest and Affiliation

Lecture Topic

Target group

Date(s)
  1.  

Mr. E. Chaitanya, Senior Software Engineer, GAP Inc. Hyderabad

Industry Expert Guest Lecture on “The Growing Importance of Mobile E-Commerce"

2nd Year Students of AI&ML

21-04-2023
  1.  

Mrs. Teena, a renowned System Administrator from ICE DATA SERVICES INDIA PRIVATE LIMITED, Hyderabad

Industry Expert Guest Lecture on “Introduction to System Administration"

2nd Year Students of AI&ML

21-04-2023
  1.  

Mr. Om Verma, Mr. Koushik, Machine Learning Mavericks Club

One day Student forum on “Applications of AI & Introduction to Julia” on

2nd Year Students of AI&ML

12-04-2023
  1.  

An Expert Team from “Bhaskar Medical College”, A Sister Institute of JBIET

One day Awareness Program on “Medical Emergencies”

2nd Year Students of AI&ML

21-03-2023
  1.  

An expert team from Moinabad Police Station

One day “Self Defence Training program for Girl Students”

2nd Year Students of AI&ML

28-03-2023
 

 

Prizes won by the students in Paper contests:

Sl.No.

Student Details

Title of the paper

Dates and Place

Prize
Awarded

1

Om Verma, Kaushik Pingili

Multiclass Classification of Intellectual Quotes using

Transformers

11-03-2023, JBIET

First Prize

2

Malavika Joshi, Shada Manogna

Machine Learning-Based Credit Card Fraud Detection: Evaluating Standard and Hybrid Techniques with Majority Voting

11-03-2023, JBIET

Second Prize
 

 

Papers presented by the students in Conferences:

Sl.No.

Title of the paper

Name(s) of Author(s)

Details of Proceedings
(in IEEE format)

1

Machine Learning-Based Credit Card Fraud Detection: Evaluating Standard and Hybrid Techniques with Majority Voting

Malavika Joshi1, Shada Manogna2, Mrs. Beulah J Karthikeyan3*, Dr. Sankara Sarma KVSSRS4

 

Malavika Joshi, Shada Manogna, Mrs. Beulah J Karthikeyan, Dr. Sankara Sarma KVSSRS, Machine Learning-Based Credit Card Fraud Detection: Evaluating Standard and Hybrid Techniques with Majority Voting, International Journal of System Design and Information Processing (SDIP), ISSN: (Print): 2319-9288 | (Online): 2321-0591

2

Using multiple methods including Naïve Bayes, K-

Nearest Neighbours, and Decision Tree Algorithms

with Ensemble Learning to diagnose diabetes

Mahek Tikedar1, Rallapalli Lakshmi Chandana2 , Mrs. Beulah J Karthikeyan3*Dr. Sankara Sarma KVSSRS4

Mahek Tikedar, Rallapalli Lakshmi Chandana, Mrs. Beulah J Karthikeyan, Dr. Sankara Sarma KVSSRS4, Using multiple methods including Naïve Bayes, K-Nearest Neighbours, and Decision Tree Algorithms

with Ensemble Learning to diagnose diabetes, International Journal of System Design and Information Processing (SDIP), ISSN: (Print): 2319-9288 | (Online): 2321-0591

3.

Multiclass Classification of Intellectual Quotes using

Transformers

Om Verma1, Kaushik Pingili 2 , Dr. G. Arun Sampaul Thomas 3* , S. Sathish Kumar4

Om Verma, Kaushik Pingili, Dr. G. Arun Sampaul Thomas, S. Sathish Kumar, Multiclass Classification of Intellectual Quotes using

Transformers, International Journal of System Design and Information Processing (SDIP), ISSN: (Print): 2319-9288 | (Online): 2321-0591

4.

Exploring the Effectiveness of Supervised Learning

Algorithms for Identifying Suicidal Thoughts in

Textual Data

M. Sanjana Ninni1 , Harika Musku2 , S. Sathish Kumar3* ,G. Arun Sampaul Thomas

M. Sanjana Ninni, Harika Musku , S. Sathish Kumar ,G. Arun Sampaul Thomas, Exploring the Effectiveness of Supervised Learning

Algorithms for Identifying Suicidal Thoughts in

Textual Data, International Journal of System Design and Information Processing (SDIP), ISSN: (Print): 2319-9288 | (Online): 2321-0591
 

 

Student Club Activities:

Sl. No

Name of the Student Club

Activity Conducted

Date

No. of participants

1

Machine Learning Mavericks Club

One Day Student Forum on “Applications of AI & Introduction to Julia Programming”

12-04-2023

140
 

 

Industrial Visits

Sl. No

Name of the Industry

Date of Visit

Target group

No of students

Outcome

1

DRDL Hyderabad

17-04-2023

2nd Year Students of AI&ML

 

 

140

The visit offered our AI&ML students a chance to learn about DRDL's research and development and expand their knowledge of the defense technology industry.

 

Internships

Sl. No

Name of the Company

Student Details

Duration

Date From-to

No of students

Outcome

1

Verzio Pvt. Ltd.,

2nd Year Students of AI&ML

4 Weeks

2-1 (AY 2022-23 / I sem)

30

Students grasped AI&ML applications through project-based learning supported by the company.

2.

Lbits Pvt. Ltd.,

2nd Year Students of AI&ML

4 Weeks

2-1 (AY 2022-23 / I sem)

51

3.

Y-Hills solutions.,

2nd Year Students of AI&ML

4 Weeks

2-1 (AY 2022-23 / I sem)

23

 4.

V-Cube Pvt. Ltd.,

2nd Year Students of AI&ML

4 Weeks

2-1 (AY 2022-23 / I sem)

36
 

AI&ML – Students Sports Achievements:

        

Research and Development

Faculty Publication list in the A.Y  2025-2026

S.No

Faculty Name

Title Of The Journal

Name Of The Conference/Journal

Month & Year

Indexed in Scopus(yes/no)

1

Dr. Akheel Mohammed

MULTIDISCIPLINARY INNOVATIONS FOR SMART & SUSTAINABLE FUTURE (MISSF 2026)

IEEE

April,2026

YES

2

Dr. Amit Gupta

Emotion Detection Framework for Mental Health Monitoring Using Reservoir Computing

ICACSICE

April,2026

YES

3

Dr. Amit Gupta

ECG Rogation Lung Cancer Detection Using CNN Technique

ICACSICE

April,2026

YES

4

Mr. S. Sathish Kumar

Distinguishing Authentic and Manipulated Online Hotel Ratings through Machine Learning and Deep Learning Approaches

IEEE

April,2026

YES

5

Dr. Amit Gupta

Securing Data and Identity through Machine Learning in Smart Systems Using Internet of Things with Blockchain Technology

ICACSICE

April,2026

YES

6

Mrs.Umme Hani Sara

Real-Time Crowd Anomaly Detection Using Spatio-Temporal ConvLSTM Autoencoders

IJARST

April,2026

No

7

Mr. S. Sathish Kumar

Gesture Controlled Smart Home Using Arduino and Deep Learning Techniques

IJARST

April,2026

No

8

Mr. Moshin MD

Design and Implementation of Blockchain Based Stable Coin

IJARST

April,2026

No

9

Mr. J. Bharath Kumar

Deep Learning based Image Segmentation and Classification of Lychee Leaf Diseases

IJARST

April,2026

No

10

Mr. S. Sathish Kumar

Chatbot for Student Grievance Redressal Using RASA

IJARST

April,2026

No

11

Mr. Devdas

Text-Guided Open Vocabulary Object Detection using Vision-Language Models

IJARST

April,2026

No

12

Mr. Vinayaka Prashanthi

Air Quality Prediction for Delhi Using Machine Learning

IJARST

April,2026

No

13

Mr. M. Purushotham

Smart Traffic Light Control Using SUMO and Deep Reinforcement Learning

IJARST

April,2026

No

14

Dr. Gurrampally Kumar

Plant Disease Detection Using PlantVillage Dataset

IJARST

April,2026

No

15

Mr. M. Mahesh Kumar

Network Intrusion Detection Using Ensemble Machine Learning Techniques

IJARST

April,2026

No

16

Mrs. G. Swapna

Monocular 3D Vehicle Detection and 6-DoF Pose Estimation using Stacked Hourglass Networks and Depth Anything V2

IJARST

April,2026

No

17

Ms. Vanakayalapati Koteswaramma

Air Quality Prediction Using Machine Learning

IJARST

April,2026

No

18

Mr. Md. Mahebub Ali

Real-Time Pedestrian Detection Using YOLOv8 with OpenVINO Optimization

IJARST

April,2026

No

19

Mrs. G. Swapna

Phishing Email Detection using BERT

IJARST

April,2026

No

20

Mr. Chandrashekar Reddy

ViT-Powered Underwater Trash Classification and Detection System

IJARST

April,2026

No

21

Dr. Gurrampally Kumar

Real-Time Cognitive State Monitoring System Using Facial Micro-Behavior and Temporal Eye Analysis

IJARST

April,2026

No

22

Mrs. G. Swapna

Secure Zero Knowledge Cloud Based Credential Management System with Client Side Cryptographic Control

IJARST

April,2026

No

23

Mr. S. Sathish Kumar

CO2 Emission Prediction and Comparison System Using XGBoost Machine Learning

IJARST

April,2026

No

24

Ms. Bijarania Sangeetha

WissenHaus Learning Management System

IJARST

April,2026

No

25

Mr. S. Sathish Kumar

Crop Yield Prediction using Weather Data and Machine Learning Techniques

IJARST

April,2026

No

26

Mr. S. Sathish Kumar

Comparative Analysis of Machine Learning and Deep Learning Techniques for Sarcasm Detection in Indian Political Headlines

IJARST

April,2026

No

27

Ms. Intesar Fatima

Comparative Analysis of Machine Learning and Deep Learning Techniques for Sarcasm Detection in Indian Political Headlines

IJARST

April,2026

No

28

Ms. Intesar Fatima

ClassPic: AI-Powered Face Recognition System for Automated Attendance

IJARST

April,2026

No

29

Mrs. D. Radhika Reddy

Ship Extraction Web Application using CNN Sliding Window

IJARST

April,2026

No

30

Mr. Md. Mahebub Ali

Weather Forecasting Using Long Short-Term Memory (LSTM)

IJARST

April,2026

No

31

Mr. Md. Mahebub Ali

Emotion Detection from Tweets Using BERT-Based Deep Learning

IJARST

April,2026

No

32

Mr. S. Sathish Kumar

Attention-Enhanced Generative Adversarial Network for Image Denoising

IJARST

April,2026

No

33

Mr. S. Zubair

AI-Powered Repository Analysis and Visualization System using RAG & LLMs

IJARST

April,2026

No

34

Mr. M. Mahesh

Detection of AI-Generated Text Using DL Techniques

IJARST

April,2026

No

35

Dr. Akheel Mohammed

Smart Theft Detection Using Advance Machine Learning Using Quantum

IJARST

April,2026

No

36

Mr. M. Purushotham

DeepFake Detection using CNN-LSTM Hybrid Model

IJARST

April,2026

No

37

Ms. Intesar Fatima

AI-Based Intelligent System for Early Detection of Heart Disease using 10 Year CHD Risk Prediction

IJARST

April,2026

No

38

Mr. Md. Mahebub Ali

Real-Time Driver Drowsiness Detection System Using Eye Aspect Ratio and CNN-Based Eye State Classification

IJARST

April,2026

No

39

Mr. S. Sathish Kumar

Voice-Lingo: A Real-Time Multilingual Voice Translation System

IJARST

April,2026

No

40

Mr. J. Bharath Kumar

ResQlink - The Emergency Response System

IJARST

April,2026

No

41

Mr. S. Sathish Kumar

A U-ResNet-LSTM Framework for Deep Spatio-Temporal Learning of Sketch Sequences

JUCS – Journal of Universal Computer Science

March 2026

No

42

Mr. S. Sathish Kumar

Exploring the Interplay Between Coffee Consumption, Lifestyle Factors, and Health Outcomes: A Machine Learning Analysis

IEEE ICNWC 2026 Conference

March 2026

No

43

Mr. S. Sathish Kumar

Distinguishing Authentic and Manipulated Online Hotel Ratings through Machine Learning and Deep Learning Approaches

AIP Conference Proceedings (JBIET)

March 2026

No

44

Mr. S. Sathish Kumar

BLADE-LA: A Bi-LSTM Attention-Driven Graph-Enhanced Framework for Student Mastery Prediction

ASSIC 2026 Conference (Microsoft CMT)

March 2026

No

45

Dr. Akheel Mohammad

Adversarial Attacks on Agentic AI Systems: Mechanisms, Impacts, and Defense Strategies

IJSR

March 2026

Yes

46

Dr. Amit Gupta

Smart Agriculture used for Insect Detection Framework Edge Computing Technology

IEEE

March 2026

Yes

47

M. Mahesh Kumar, S. Sathish Kumar,

Dr. Amit Gupta

Early-Stage Different Multi-Vitamin Deficiency Detection in Human Body Using CNN

IEEE

March 2026

Yes

48

Mr. S. Sathish Kumar

&

Dr. G. Amit Gupta

CNN-BiGRU Model Used for Intelligent Smart Farming Agriculture in Rural Areas India

IEEE

FEB 2026

No

49

Dr. G. Kumar &

Dr. G. Amit Gupta

Artificial Intelligence GIS Algorithm Based on Deep Learning Technology for Land and Water Detection

IEEE

FEB 2026

No

50

Dr. G. Amit Gupta

Smart Healthcare Systems with IoT-Based used Hunger Games Search Optimization and Deep Learning

IEEE

FEB 2026

No

51

Dr. G. Amit Gupta

Tea Leaves Disease Multi Class Classification using MobileNet-V2

IEEE

FEB 2026

No

52

Dr. G. Kumar &

Dr. G. Amit Gupta

Skin Burn Severity Classification using Ensemble Learning Method

IEEE

FEB 2026

No

53

Amit Gupta

Smart Mobile Phone Malware Detection with KELM Model

IEEE

JAN 2026

YES

54

Amit Gupta

Planar Sinuous Antenna Operating in the Wide Band Frequency Range

IEEE

JAN 2026

YES

55

Amit Gupta

Sustainable Agriculture for Crop Prediction Using Deep learning Parameter

IEEE

JAN 2026

YES

56

S. Sathish Kumar & Amit Gupta

Deep Learning Approach with UAV and Satellite Imagery using 5G Technology in Flood Area Segmentation in Disaster Management

IEEE

JAN 2026

YES

57

Amit Gupta

Image Segmentation Used Different Machine and Deep Learning Technology for Breast

Cancer Diagnosis

IEEE

JAN 2026

YES

 

Research Activities - Thrust areas of research of the department.

Sl.No.

Name of the Thrust Area

1

Deep Learning

2

Machine Learning

3

Natural Language Processing

4

Computer Vision
 

 

Papers Published by faculty in Journals

S.NO.

Name of the Author(s)

Name of the Journal

Title of the paper

Indexed in

Vol. No and Page nos.

ISBN/ ISSN

Date
  1.  

Dr.G. Arun Sampaul Thomas, 

S. Sathish Kumar

International Journal of Image and Graphics.

Classification and Analysis of Pistachio Species Through Neural Embedding-Based Feature Extraction and Small-Scale Machine Learning Techniques

Scopus

Online ready

Online ready

March 2023
  1.  

Dr. Amit Gupta

IEEE Access, vol. 12, pp. 5373-5392, 2024, doi: 10.1109/ACCESS.2024.3350741. 

Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing

Scopus

Online Ready

Online Ready

Jan 2024

 

Books/ Chapters published by the faculty members

Sl.No.

Name(s) of the author(s)

Title of the Book/ Chapter

Book Type

ISBN Number

Publisher

1

Dr.G. Arun Sampaul Thomas

 

Future of Medical Research with a Data-driven Federated Learning Approach

Handbook on Federated Learning: Advances, Applications and Opportunities (1st ed.). CRC Press. https://doi.org/10.1201/9781003384854.

Online ready

CRC Press

2

Dr.G. Arun Sampaul Thomas

 

Broad Framework of Digital Twins in Agricultural Domain

Predictive Analytics in Smart Agriculture (1st ed.). CRC Press. https://doi.org/10.1201/9781003391302.

Online ready

CRC Press

3

Dr.G. Arun Sampaul Thomas,

S. Sathish Kumar,

Mrs. Beulah

 

Predictive Analytics of Climate Change The Future of Global Warming Lies in Data Analytics

Predictive Analytics in Smart Agriculture (1st ed.). CRC Press. https://doi.org/10.1201/9781003391302.

Online ready

CRC Press

4

Dr.G. Arun Sampaul Thomas,

S. Sathish Kumar

 

Green IoT use case approaches for blockchain technology taking industry 5.0 to the next level

Elsevier Book Chapter- Green Blockchain Technology for Sustainable Smart Cities

(Scopus indexed)

978-0-323-95407-5

Elsevier

 

Patents Filed/ Published/ Granted

Sl.No.

Title of Patent

Name of the Faculty

Patent Details
(Application No./Ref. No.
&Date of filing)

Status

1

 SELF-ADJUSTING MACHINE LEARNING PIPELINE FOR FINANCIAL FORECASTING 

Dr.G. Arun Sampaul Thomas,

Mr. S. Satish Kumar,

Mrs. Maria Shanthi,

Mrs. Novera Habeeb,

Mrs. Beulah

 

Application No.202341074353 A, Indian IPR, Dec 2023

Published

2

Machine Learning Strategy for Performance Enhancement of Phase Change Material for A Smart Control

Dr.G. Arun Sampaul Thomas

 

Application No. 202241067599, Indian IPR, Nov 2022

Published
 

Placements

Academic Year 2025-2026

S.No

Roll Number

Name of the Students

Company Name

Package

1

22671A7323

KAMATAM NITHIN KUMAR GOUD

TCS

7.5 LPA

2

22671A7366

AVUSULA VIVEK CHARY

TCS

7.5 LPA

3

22671A7351

THATIPAMULA RAHUL

TCS

7.5 LPA

4

23675A7306

BIYYALA AKSHITH KUMAR

TCS

7.5 LPA

5

22671A73A7

SHAIK VASEEM

INTERNZ VALLEY

7 LPA

6

22671A7378

K GANESH

INTERNZ VALLEY

7 LPA

7

23675A6603

KESHAVENI SAI KUMAR

INTERNZ VALLEY

7 LPA

8

23675A6604

NELANTI SAI TEJA

INTERNZ VALLEY

7 LPA

9

22671A7346

GUNDAPUNENI DHEERAJ

INTERNZ VALLEY

7 LPA

10

22671A6649

YASMEEN ISHRATH

INTERNZ VALLEY

7 LPA

11

22671A7336

MOGULLA TRISHA

Gradguru

6 LPA

12

22671A73A9

SHREYAN PATRA

Gradguru

6 LPA

13

22671A6622

KURME MADHAV RAO

Gradguru

6 LPA

14

22671A6625

MOHAMMED SHAHID REHAN

Gradguru

6 LPA

15

22671A6628

NIDAMALURI SANDEEP

Gradguru

6 LPA

16

22671A6641

SURYAPAKULA SUDHEER KUMAR

Gradguru

6 LPA

17

23675A6602

THOTA SHIVASAI

Gradguru

6 LPA

18

22671A7304

ARIKE SUJITH

Gradguru

6 LPA

19

22671A7320

JAKKA KOUSHIK

Gradguru

6 LPA

20

22671A7332

M S SINDURA

Gradguru

6 LPA

21

22671A7339

NEETHIPUDI RAJAVARDHANI

Gradguru

6 LPA

22

22671A7365

ARRAVELLY SAI SNEHITHA

Gradguru

6 LPA

23

22671A7367

BOLLAMPALLY RAMSAI GOUD

Gradguru

6 LPA

24

22671A7368

BOYINI CHANDANA

Gradguru

6 LPA

25

22671A7377

JATOTH SIDDU

Gradguru

6 LPA

26

22671A7387

MEKALA LOKESH

Gradguru

6 LPA

27

22671A7398

THANDEKAR SAI KRISHNA RAO

Gradguru

6 LPA

28

23675A7301

PASULA HARSHITH CHARAN

Gradguru

6 LPA

29

23675A7302

RACHA HARSHA VARDHAN BABU

Gradguru

6 LPA

30

23675A7304

KARNATHAM RAKESH

Gradguru

6 LPA

31

23675A7305

PULUVARI KARTHIK

Gradguru

6 LPA

32

22671A7307

AYUSH TIKALE

Gradguru

6 LPA

33

22671A7373

GUNDAMANENI ANUDEEPTHI

Gradguru

6 LPA

34

22671A7380

KHUSHI GUPTA

Gradguru

6 LPA

35

22671A73A1

RAVULAKOLA SANJANA

Gradguru

6 LPA

36

22671A6639

SRIRAMULA BHANUSRI

Gradguru

6 LPA

37

22671A7301

A ABHYUDAY

Gradguru

6 LPA

38

23675A6603

KESHAVENI SAI KUMAR

Gradguru

6 LPA

39

22671A6645

Vallapu Vinod

Gradguru

6 LPA

40

22671A7364

APPASU AYUSH RAJ

Acruient IT Pvt Ltd

5 LPA

41

22671A73A1

RAVULAKOLA SANJANA

Acruient IT Pvt Ltd

5 LPA

42

22671A6602

ANUSHKA KUMARI

Acruient IT Pvt Ltd

5 LPA

43

22671A6605

BALAJI KAILASH GAURAV SANJAY SRIVASTAV

Acruient IT Pvt Ltd

5 LPA

44

22671A6616

KALWALA NAVITHA

Acruient IT Pvt Ltd

5 LPA

45

22671A6639

SRIRAMULA BHANUSRI

Acruient IT Pvt Ltd

5 LPA

 

 

 

 

 

46

22671A7375

HARSHIT V SHAH

Pentagon Space

5 LPA

47

22671A7388

MEREDDY BHAVANA REDDY

Pentagon Space

5 LPA

48

22671A7302

A LAXMI ADIKHYA REDDY

Pentagon Space

5 LPA

49

22671A6614

GADDAM ARCHANA

Pentagon Space

5 LPA

50

23675A6603

KESHAVENI SAI KUMAR

Pentagon Space

5 LPA

51

22671A73B1

VUDUTHALA LOKESH GOUD

TEACH MAVIN

5 LPA

52

22671A73B3

YELLA SATHWIK

TEACH MAVIN

5 LPA

53

23675A7308

SURAPELLI RAKSHITHA

TEACH MAVIN

5 LPA

54

23675A7309

GOLETI SANTHOSH

TEACH MAVIN

5 LPA

55

22671A7305

AVULA ANUSHA

Rinex Technologies

5 LPA

56

22671A7309

BASUNURE SAKSHI

Rinex Technologies

5 LPA

57

22671A7373

GUNDAMANENI ANUDEEPTHI

Rinex Technologies

5 LPA

58

22671A7398

THANDEKAR SAI KRISHNA RAO

Rinex Technologies

5 LPA

59

22671A6638

SOORA GOUTHAMI

Rinex Technologies

5 LPA

60

22671A6625

MOHAMMED SHAHID REHAN

Rinex Technologies

5 LPA

61

22671A6628

NIDAMALURI SANDEEP

Rinex Technologies

5 LPA

62

22671A6635

RIDDHI PYATA

Rinex Technologies

5 LPA

63

22671A7306

AYRA AZEEMA

Qspiders

4 LPA

64

22671A6612

DAMAM NEHAN KUMAR

Qspiders

4 LPA

65

22671A6615

GORRE PRIYA DHARSHINI

Qspiders

4 LPA

66

22671A6624

MADIHA TANVEER

Qspiders

4 LPA

67

23675A6601

PAPIGARI ASHWINI

Qspiders

4 LPA

68

22671A7309

BASUNURE SAKSHI

Qspiders

4 LPA

69

22671A7368

BOYINI CHANDANA

Qspiders

4 LPA

70

23675A7301

PASULA HARSHITH CHARAN

Qspiders

4 LPA

71

22671A6602

ANUSHKA KUMARI

Qspiders

4 LPA

72

22671A6614

GADDAM ARCHANA

Qspiders

4 LPA

73

22671A7339

NEETHIPUDI RAJAVARDHANI

Qspiders

4 LPA

74

22671A7306

AYRA AZEEMA

Qspiders

4 LPA

75

22671A7325

KARRE BHAVANA

ExcelR Solutions

4 LPA

76

22671A7334

MATRYA ROHAN

ExcelR Solutions

4 LPA

77

22671A7343

PONUGUMATI GOWTHAM

ExcelR Solutions

4 LPA

78

22671A7346

GUNDAPUNENI DHEERAJ

ExcelR Solutions

4 LPA

79

22671A6646

VASALA MANINDRA

ExcelR Solutions

4 LPA

80

22671A6638

SOORA GOUTHAMI

ExcelR Solutions

4 LPA

81

22671A6626

NAMRATA TIWARI

Global Quest Technologies

4 LPA

82

22671A6635

RIDDHI PYATA

Global Quest Technologies

4 LPA

83

22671A7302

A LAXMI ADIKHYA REDDY

Global Quest Technologies

4 LPA

84

22671A7305

AVULA ANUSHA

Global Quest Technologies

4 LPA

85

22671A7346

GUNDAPUNENI DHEERAJ

Global Quest Technologies

4 LPA

86

22671A7365

ARRAVELLY SAI SNEHITHA

Global Quest Technologies

4 LPA

87

22671A7372

G VENKATESH

Global Quest Technologies

4 LPA

88

22671A7309

BASUNURE SAKSHI

Global Quest Technologies

4 LPA

89

22671A7361

ABBADI MANIDEEP REDDY

Dhee Coding

4 LPA

90

22671A7362

AKKAPALLY SAMPATH

Dhee Coding

4 LPA

91

22671A7372

G VENKATESH

Dhee Coding

4 LPA

92

23675A7307

MUDAVATH MALLESH

Dhee Coding

4 LPA

93

22671A6618

KATTA SANNIDHAN

Dhee Coding

4 LPA

94

22671A7346

GUNDAPUNENI DHEERAJ

SutherLand Global

4 LPA

95

22671A7310

BODA VARSHA

MOVATE

4LPA

96

22671A7314

ENUMULA NAVEEN REDDY

MOVATE

4LPA

97

22671A7316

GAJABOINA MANASWINI

MOVATE

4LPA

98

22671A7318

GOPULARAM NAVEEN

MOVATE

4LPA

99

22671A7319

GUBBALA KRISHNA RAGHU TEJA

MOVATE

4LPA

100

22671A7328

KOTHAKAPU ADITYA REDDY

MOVATE

4LPA

101

22671A7344

PULI PARAMESHWAR REDDY

MOVATE

4LPA

102

22671A7350

TAUSEEF HUSSAIN

MOVATE

4LPA

103

22671A7354

YEDLA PRAVEEN

MOVATE

4LPA

104

22671A7356

MANDADI YASWANTH

MOVATE

4LPA

105

22671A7357

POLICE PATEL KUMAR REDDY

MOVATE

4LPA

106

22671A7358

MUSA SHIVARAMA DHIKSHITH

MOVATE

4LPA

107

22671A7366

AVUSULA VIVEK CHARY

MOVATE

4LPA

108

22671A7376

HATKAR SRILATHA

MOVATE

4LPA

109

22671A7382

KONINTI ABHILASH

MOVATE

4LPA

110

22671A7399

Rakesh Kumar sahoo

MOVATE

4LPA

111

22671A73A4

SADADI TANISH

MOVATE

4LPA

112

22671A73A6

SARVIGARI MADHUSMITHA

MOVATE

4LPA

113

22671A73B0

VANGOOR KARTHIK

MOVATE

4LPA

114

22671A73B1

VUDUTHALA LOKESH GOUD

MOVATE

4LPA

115

22671A73B3

YELLA SATHWIK

MOVATE

4LPA

116

23675A7308

SURAPELLI RAKSHITHA

MOVATE

4LPA

117

23675A7310

S.MAHESH

MOVATE

4LPA

118

23675A7313

KASIRABOINA SAI GOWRAV

MOVATE

4LPA

119

22671A6603

APPALA RUTVIK YADAV

MOVATE

4LPA

120

22671A6606

BANAVATH KARTHIK

MOVATE

4LPA

121

22671A6609

CHINTAKINDHI DHANUSH

MOVATE

4LPA

122

22671A6611

DAMAM MANIKANTH

MOVATE

4LPA

123

22671A6617

KANCHI PREM KUMAR

MOVATE

4LPA

124

22671A6620

KOPPISETTI PADMA SAI NATH

MOVATE

4LPA

125

22671A6640

SUROLLA DINESH

MOVATE

4LPA

126

22671A6654

MUDAMANCHU VENKATA SAMBA

MOVATE

4LPA

127

22671A6655

KONGA BHUVAN KUMAR

MOVATE

4LPA

128

23675A6605

BIJJA SRIPOOJA

MOVATE

4LPA

129

23675A6608

MOHD ABRAAR UDDIN

MOVATE

4LPA

130

22671A6653

SHRUTI BALIVADA

Infosys

3.6LPA

131

22671A6602

ANUSHKA KUMARI

PRODESK

3.6LPA

132

22671A7343

PONUGUMATI GOWTHAM

PRODESK

3.6LPA

133

23675A7304

KARNATHAM RAKESH

PRODESK

3.6LPA

134

22671A7339

NEETHIPUDI RAJAVARDHANI

PRODESK

3.6LPA

135

22671A7365

ARRAVELLY SAI SNEHITHA

PRODESK

3.6LPA

136

22671A7385

LAKKA SUMANA

TECH MAHINDRA

3.5LPA

137

22671A7389

MOVVA KUMARA SAI SATYANARAYANA

TECH MAHINDRA

3.5LPA

138

22671A7390

MULKA VISHNU

TECH MAHINDRA

3.5LPA

139

22671A7391

MUNNURU SAI CHARAN TEJA

TECH MAHINDRA

3.5LPA

140

22671A7392

MUPPIDI NITHIN SAI

TECH MAHINDRA

3.5LPA

141

22671A7393

NALLA CHAITANYA SARATI MANIKANTA

TECH MAHINDRA

3.5LPA

142

22671A7394

NARENDULA MANITEJ

TECH MAHINDRA

3.5LPA

143

22671A7396

PALIMELA SAKEEN

TECH MAHINDRA

3.5LPA

144

22671A7397

PULI SUJAY

TECH MAHINDRA

3.5LPA

145

22671A73A0

RAVULAKOLA AKSHITHA

TECH MAHINDRA

3.5LPA

146

22671A73A2

RAYANA LOKESH

TECH MAHINDRA

3.5LPA

147

22671A73A3

S NAVEEN REDDY

TECH MAHINDRA

3.5LPA

148

22671A73A5

SANGISHETTY DHANWIN

TECH MAHINDRA

3.5LPA

149

22671A73A6

SARVIGARI MADHUSMITHA

TECH MAHINDRA

3.5LPA

150

22671A73A7

SHAIK VASEEM

TECH MAHINDRA

3.5LPA

151

22671A73A8

SHIVA SAI CHANDAN KUMAR PATIL

TECH MAHINDRA

3.5LPA

152

22671A73B0

VANGOOR KARTHIK

TECH MAHINDRA

3.5LPA

153

22671A6643

THALLAPELLY MANOJ

GLOBAL LOGIC

3LPA

154

22671A6648

YASH TYAGI

GLOBAL LOGIC

3LPA

155

22671A6656

ARUNKALYAN MUDDAMSETTY

GLOBAL LOGIC

3LPA

156

23675A6604

NELANTI SAI TEJA

GLOBAL LOGIC

3LPA

157

23675A6606

PUDI  USHASRI

GLOBAL LOGIC

3LPA

158

23675A6607

KODATI GURUTEJA

GLOBAL LOGIC

3LPA

159

23675A6609

PADMAM  SAI VARDHAN

GLOBAL LOGIC

3LPA

160

22671A6601

AKULA KESHAV

HCL ITENIC

3LPA

161

22671A6604

AVINASH VARDHAN JANGAPALLY

HCL ITENIC

3LPA

162

22671A6607

CHALLA MANJUSHA

HCL ITENIC

3LPA

163

22671A6610

CHOUDARIPALLI AISHWARYA

HCL ITENIC

3LPA

164

22671A6613

DEVARAMPALLY PRASHANTHI

HCL ITENIC

3LPA

165

22671A6619

KONDAN SREENIDHI

HCL ITENIC

3LPA

166

22671A6621

KUMUD TYAGI

HCL ITENIC

3LPA

167

22671A6623

KURRA SWATHI

HCL ITENIC

3LPA

168

22671A6627

NAMUNDLA SRINITHYA

HCL ITENIC

3LPA

169

22671A6629

P V KARTIKEYA PAVANA SUCHINDRA

HCL ITENIC

3LPA

170

22671A6630

PAIDA SOUMITH

HCL ITENIC

3LPA

171

22671A6631

PATUVARDHANAM SAI SRIKAR

HCL ITENIC

3LPA

172

22671A6632

PUNNA SAI SHANKAR

HCL ITENIC

3LPA

173

22671A6633

PUTTA BHAVANI

HCL ITENIC

3LPA

174

22671A6634

RATHOD GOVIND

HCL ITENIC

3LPA

175

22671A6636

SHANAIPALLI BHARATH

HCL ITENIC

3LPA

176

21671A7315

DEVULAPALLY VENU GOPAL

HCL COLLEBERA

3 LPA

177

22671A7303

ADARSH RANJAN

HCL COLLEBERA

3 LPA

178

22671A7313

ELURI VINEELA

HCL COLLEBERA

3 LPA

179

22671A7315

G NARASIMHA

HCL COLLEBERA

3 LPA

180

22671A7323

KAMATAM NITHIN KUMAR GOUD

HCL COLLEBERA

3 LPA

181

22671A7326

KASHAMPUR VARSHITHA

HCL COLLEBERA

3 LPA

182

22671A7327

KOMARAJU PUNEETH

HCL COLLEBERA

3 LPA

183

22671A7329

KUDIDELA MANUSHA

HCL COLLEBERA

3 LPA

184

22671A7333

MANGALI VISHNUVARDHAN

HCL COLLEBERA

3 LPA

185

22671A7335

MEDISHETTY KIRAN KUMAR

HCL COLLEBERA

3 LPA

186

22671A7337

MOHAMMED JASER JALAL

HCL COLLEBERA

3 LPA

187

22671A7338

MYAKA VEENA

HCL COLLEBERA

3 LPA

188

22671A7340

ODETI SAI

HCL COLLEBERA

3 LPA

189

22671A7345

RANGA SWETHA

HCL COLLEBERA

3 LPA

190

22671A7349

TALKOKULWAR OM PRAKASH

HCL COLLEBERA

3 LPA

191

22671A7351

THATIPAMULA RAHUL

HCL COLLEBERA

3 LPA

192

22671A7352

UPPALA SHILPA

HCL COLLEBERA

3 LPA

193

22671A7369

DOLE PREETHI

HCL COLLEBERA

3 LPA

194

22671A7370

DUBBA MAHATHI

HCL COLLEBERA

3 LPA

195

22671A7371

DYAPA YASHWANTH REDDY

HCL COLLEBERA

3 LPA

196

22671A7374

RAYAPURAM NAGESHWARI

HCL COLLEBERA

3 LPA

197

22671A7378

K GANESH

HCL COLLEBERA

3 LPA

198

22671A7346

GUNDAPUNENI DHEERAJ

SutherLand Global

3 LPA

199

22671A6645

VALLAPU VINOD

Sunglare Technologies

3 LPA

200

23675A6603

KESHAVENI SAI KUMAR

Sunglare Technologies

3 LPA

Academic Year 2024-2025

S.No

Roll Number

Name of the Students

Company Name

Package

1

20671A07350

Chiluka Varshitha

SKILL INTERNS

5.5 LPA

2

21671A07307

Annam Sai Harshitha

RYTHOMS

4.0 LPA

3

21671A7301

Abhishek mishra

WORKHOAL

5.5 LPA

4

21671A7303

Annam Sai Harshitha

WORKHOAL

5.5 LPA

5

21671A7303

Annam Sai Harshitha

Q-SPIDERS

4 LPA

6

21671A7303

Annam Sai Harshitha

GLOBAL QUEST

4.0 LPA

7

21671A7303

Annam Sai Harshitha

HCL COLLABERA

4 LPA

8

21671A7306

B Chandrashekar Reddy

WORKHOAL

5.5 LPA

9

21671A7306

B Chandrashekar Reddy

Q-SPIDERS

4 LPA

10

21671A7306

B Chandrashekar  Reddy

Sutherland

4 LPA

11

21671A7310

Ch.Srijani

SKILL INTERNS

5.5 LPA

12

21671A7311

CIDDHAPOLA VISHAL GOUD

WORKHOAL

5.5 LPA

13

21671A7312

Dasari Sai Yashwanth

WORKHOAL

5.5 LPA

14

21671A7312

D.Sai yashwanth

HCL COLLABERA

4 LPA

15

21671A7317

D. Srimadhan

PENTAGON-SPACE

5.5 LPA

16

21671A7322

GANJI VENU GOPAL

DIGITIDE

4 LPA

17

21671A7323

Duddelly Srimadhan

SKILL INTERNS

5.5 LPA

18

21671A7324

B vivek

SKILL INTERNS

5.5 LPA

19

21671A7327 

Harika M

HSBC

11LPA

20

21671A7337

B SARIKA REDDY

SKILL INTERNS

5.5 LPA

21

21671A7338

Srujan Kosoju

Sutherland

4 LPA

22

21671A7341

Madhamshetty Sanjana ninni

WORKHOAL

5.5 LPA

23

21671A7342

MANKA RATHNA TEJA

WORKHOAL

5.5 LPA

24

21671A7352

Pujari Rishi Preetham 

WORKHOAL

5.5 LPA

25

21671A7352

Pujari Rishi Preetham

DEXTERITY

4 LPA

26

21671A7352

Pujari Rishi Preetham 

Q-SPIDERS

4 LPA

27

21671A7352

Pratishta Israel

GLOBAL QUEST

4.0 LPA

28

21671A7352

Pujari Rishi Preetham

Sutherland

4 LPA

29

21671A7352

Pujari Rishi Preetham 

GLOBAL QUEST

4.0 LPA

30

21671A7353

Kolluru Sumanth

SKILL INTERNS

5.5 LPA

31

21671A7356

SAMA VAISHNAVI 

WORKHOAL

5.5 LPA

32

21671A7356

SAMA VAISHNAVI

DEXTERITY

4 LPA

33

21671A7356

Sama Vaishnavi

HCL COLLABERA

4 LPA

34

21671A7356

Sama Vaishnavi Reddy

Sutherland

4 LPA

35

21671A7356

SAMA VAISHNAVI

EXCELR

4.0 LPA

36

21671A7357

SAPPIDI VISHISTA

WORKHOAL

5.5 LPA

37

21671A7357

SAPPIDI VISHISTA

Q-SPIDERS

4 LPA

38

21671A7360

Thumu Harshitha

WORKHOAL

5.5 LPA

39

21671A7363

Vajiha Fathema

WORKHOAL

5.5 LPA

40

21671A7363

Vajiha Fathema

ITENIC

4 LPA

41

21671A7364

Yanamala Sai prasanna

WORKHOAL

5.5 LPA

42

21671A7365

YEERAPANENI ANURAG

ITENIC

4 LPA

43

21671A7368

Aman sidiq Shaik

WORKHOAL

5.5 LPA

44

21671A7368

Aman sidiq Shaik

Q-SPIDERS

4 LPA

45

21671A7368

Aman sidiq Shaik

HCL COLLABERA

4 LPA

46

21671A7369

R.Sriharsha

SKILL INTERNS

5.5 LPA

47

21671A7369

A.Indhu

cogno space

4.5 LPA

48

21671A7369

A.Indhu

EXCELR

4.0 LPA

49

21671A7370

A . Pranay Sai

WORKHOAL

5.5 LPA

50

21671A7370

Pranay Sai Anumolu

HCL COLLABERA

4 LPA

51

21671A7370

Pranay Sai Anumolu

HCL COLLABERA

4 LPA

52

21671A7372

Malavika joshi

Q-SPIDERS

4 LPA

53

21671A7372

Beshi Abhishek

HCL COLLABERA

4 LPA

54

21671A7372

Abhishek  Beshii

Sutherland

4 LPA

55

21671A7373

SRIMANNARAYANA SARVABHOWNA

PENTAGON-SPACE

5.5 LPA

56

21671A7375

Sharan

WORKHOAL

5.5 LPA

57

21671A7375

Saran teja

HCL COLLABERA

4 LPA

58

21671A7376

Burrakayala Akhila

DEXTERITY

4 LPA

59

21671A7376

BURRAKAYALA AKHILA

DIGITIDE

4 LPA

60

21671A7377

A.Indhu

SKILL INTERNS

5.5 LPA

61

21671A7377

Chiluka Varshitha

EXCELR

4.0 LPA

62

21671A7379

JALDA RAJU

WORKHOAL

5.5 LPA

63

21671A7379

Jalda Raju

HCL COLLABERA

4 LPA

64

21671A7384

Ette Nikitha

cogno space

4.5 LPA

65

21671A7385

Neelam Jayanth

WORKHOAL

5.5 LPA

66

21671A7385

Neelam Jayanth

HCL COLLABERA

4 LPA

67

21671A7392

JANAPANI KEERTHI

cogno space

4.5 LPA

68

21671A7394

BHARADWAJ SAI KAKARLA 

WORKHOAL

5.5 LPA

69

21671A7394

BHARADWAJ SAI KAKARLA

DEXTERITY

4 LPA

70

21671A7394

BHARADWAJ SAI KAKARLA 

Q-SPIDERS

4 LPA

71

21671A7394

BHARADWAJ SAI KAKARLA

HCL COLLABERA

4 LPA

72

21671A7394

Bharadwaj Sai  Kakarla

Sutherland

4 LPA

73

21671A7394

BHARADWAJ SAI

HDFC

4.5 LPA

74

21671A7394

BHARADWAJ SAI KAKARLA

DIGITIDE

4 LPA

75

21671A73A0

Kondi Varsha

WORKHOAL

5.5 LPA

76

21671A73A0

Kondi Varsha

HCL COLLABERA

4 LPA

77

21671A73A5

Mahek Tikedar

ITENIC

4 LPA

78

21671A73A5

Mahek Tikedar

DIGITIDE

4 LPA

79

21671A73A6

Malavika joshi

cogno space

4.5 LPA

80

21671A73A6

Malavika joshi

WORKHOAL

5.5 LPA

81

21671A73A6

Malavika Joshi

HCL COLLABERA

4 LPA

82

21671A73A6

Malavika  Joshi

Sutherland

4 LPA

83

21671A73A6

MALAVIKA

HDFC

4.5 LPA

84

21671A73B1

Nathala Sahasra Reddy

HCL COLLABERA

4 LPA

85

21671A73B1

Nathala Sahasra Reddy

Sutherland

4 LPA

86

21671A73B2

Nehal.pulipati

DEXTERITY

4 LPA

87

21671A73B2

Nehal.pulipati 

Q-SPIDERS

4 LPA

88

21671A73B2

Nehal.pulipati

HCL COLLABERA

4 LPA

89

21671A73B5

Pratishta Israel

WORKHOAL

5.5 LPA

90

21671A73B5

Pratishta Israel

HCL COLLABERA

4 LPA

91

21671A73B9

Devansh Agarwal

ITENIC

4 LPA

92

21671A73C0

Shada Manogna

WORKHOAL

5.5 LPA

93

21671A73C0

Shada Manogna

Sutherland

4 LPA

94

21671A73C1

Akshay Shetty

WORKHOAL

5.5 LPA

95

21671A73C2

Sura Gokul

HCL COLLABERA

4 LPA

96

21671A73C3

Tejavath Bharath Kumar

WORKHOAL

5.5 LPA

97

21671A73C4

VENKATRAM SUSHEEL RAJ

ITENIC

4 LPA

98

21671A73C5

Vicky jena

HCL COLLABERA

4 LPA

99

21671A73C9

Dhiraj

WORKHOAL

5.5 LPA

100

21671A73C9

Dhiraj

HCL COLLABERA

4 LPA

101

21671A73C9

Dhiraj

ITENIC

4 LPA

102

21671A73D0

Rallapalli Lakshmi Chandana 

GLOBAL QUEST

4.0 LPA

103

21671A73D0

Rallapalli Lakshmi Chandana 

WORKHOAL

5.5 LPA

104

21671A73D0

Rallapalli Lakshmi Chandana

DEXTERITY

4 LPA

105

21671A73D0

Rallapalli Lakshmi Chandana 

Q-SPIDERS

4 LPA

106

21671A73D0

Lakshmi Chandana  Rallapalli

Sutherland

4 LPA

107

21671A73D0

Rallapalli Lakshmi Chandana

ITENIC

4 LPA

108

21671A8347

S.naga sai sri

Q-SPIDERS

4 LPA

109

21671A7302

Sai krishna vara prasad

Rinex

7.0 LPA

110

22675A0421

Beshi Abhishek

Q-SPIDERS

4 LPA

111

22675A7301

P.Sudhir

WORKHOAL

5.5 LPA

112

22675A7302

Vadla shiva kumar chary

Q-SPIDERS

4 LPA

113

21671A0551

Jalda Raju

ADIVI GROUP

11.5LPA

114

21671A7341

Boravelli Sarika

ADIVI GROUP

11.5LPA

115

21671A7201

Sanjana Madhamshetty

ADIVI GROUP

11.5LPA

116

21671A0508

A Sai Harshita

COGNIZANT

4LPA

117

21671A17210

Lakshni Chandana

COGNIZANT

4LPA

118

21671A7363

YEERAPANENI ANURAG

ITENIC

4 LPA

119

21671A73B9

Vajiha Fathema

ITENIC

4 LPA

120

21671A73A5

Devansh Agarwal

ITENIC

4 LPA

Seminars/FDP/Workshops Attended

ACADEMIC YEAR ­­- 2025-2026

Seminars / Workshops Attended by Faculty

S.No.

Name of the Faculty

Designation

Programme Title

Dates (From–To)

1.

Dr. Akheel Mohammad

Associate Professor

Next Generation Computing Paradigms: Quantum Computing for Machine Learning, Security and Other Applications

30-03-2026 to 03-04-2026

2.

Dr.Akheel Mohammad

Associate Professor

Awareness Programme on Introductory Concepts on Quantum Computing and IBM Qiskit

04-04-2026 to 05-04-2026

3.

Mr. M. Mahesh Kumar

Assistant Professor

Two-Day Workshop with Hands-on Training on Python-Based Genetic Optimization

16-04-2026

4.

Mr. M. Mahesh Kumar

Assistant Professor

Five Day National Level FDP on Empowering Educators: AI, Digital Tools and Innovative Pedagogies for Future-Ready Teaching

06-04-2026 to 10-04-2026

5.

Dr. Akheel Mohammad

Associate Professor

Two Day Workshop on Quantumania: Mathematical Foundations & Basics of Quantum Computing

09-04-2026 to 10-04-2026

6.

Mr. Jukanti Bharath Kumar

Assistant Professor

1-Day Online FDP on Educate the Educator on Agentic AI

04-04-2026

7.

Dr. Akheel Mohammad

Associate

Professor

Harmonizing Human Intelligence and AI Tools

21-03-2026 to 22-03-2026

8.

Mrs. B. Bhargavi

Assistant Professor

AI Pragyan – Faculty Development Program on Generative AI

16-02-2026 to 06-03-2026

9.

Dr. Akheel Mohammad

Associate Professor

Power BI – For Business Applications (Internship)

16-02-2026 to 12-03-2026

10

Dr. Akheel Mohammad

Associate Professor

Generative AI Mastermind

Not Mentioned

11

Mr. M. Mahesh Kumar

Assistant Professor

Five Days National Level FDP on Research and Publication

25-02-2026 to 28-02-2026

12

Mr. J. Bharath Kumar

Assistant Professor

Five Days National Level FDP on Research and Publication

25-02-2026 to 28-2-2026

14.

Mr. J. Bharath Kumar

 

Assistant Professor

 

6 Days National Level Faculty Development Program (FDP) on Generative & Agentic Al - Tools & Demo's

 

16th -21st Feb 2026

 

15.

Ms. Bonda Sameera Smitha Bhargavi

Assistant Professor

Classifying Data Using IBM Granite

28 Feb 2026

 

16.

Ms. Swapna Ganna

Assistant Professor

1-Day Offline Faculty Development Program, 'Educate the Educator' on Agentic AI

21 Feb 2026

17.

Mr. Mahesh Kumar

Assistant Professor

1-Day Offline Faculty Development Program, 'Educate the Educator' on Agentic AI

21 Feb 2026

18.

Mr. J. Bharath Kumar

Assistant Professor

1-Day Offline Faculty Development Program, 'Educate the Educator' on Agentic AI

21 Feb 2026

19.

Dr. Akheel Mohammed

Associate Professor

Basic Python Programming

03 March, 2026

20.

Dr. Akheel Mohammed

Associate Professor

Generative AI foundation

2nd March 2026

21.

Dr. G. Kumar

Associate Professor

One-Week Online Faculty Development Programme (FDP) on "Next Generation Computing Technologies"

2nd to 7th February 2026

22.

Ms. Swapna Ganna

Assistant Professor

6 Days National Level Faculty Development Program (FDP) on Generative & Agentic Al - Tools & Demo's

16th -21st Feb 2026

23

Mr. Devdass

Assistant Professor

6 Days National Level Faculty Development Program (FDP) on Generative & Agentic Al - Tools & Demo's

16th -21st Feb 2026

24

Mrs. Sandhya Rani

Assistant Professor

6 Days National Level Faculty Development Program (FDP) on

Generative & Agentic Al - Tools & Demo's

 

16th -21st Feb 2026

25

Ms. Sangeetha

Assistant Professor

6 Days National Level Faculty Development Program (FDP) on Generative & Agentic Al - Tools & Demo's

16th -21st Feb 2026

26.

Ms. Divya Teja Pasala

Assistant Professor

6 Days National Level Faculty Development Program (FDP) on Generative & Agentic Al - Tools & Demo's

16th -21st Feb 2026

27.

Mr. Mahesh Kumar

Assistant Professor

6 Days National Level Faculty Development Program (FDP) on Generative & Agentic Al - Tools & Demo's

16th -21st Feb 2026

28.

Mr. Md mahebub ali

Assistant Professor

One Day Faculty Development Program on "AI in Research for Data Analysis"

21st February 2026

29.

Dr. Akheel Mohammad

Associate

Professor

One day Virtual Workshop on Spring Boot with AI

14th February

30.

Dr. Akheel Mohammad

Associate

Professor

International Webinar titled "Post Doctoral Fellow"

2nd February, 2026

31.

Mrs. B Sandhya Rani

Assistant Professor

One-Week Online FDP on

"Emerging Technologies in Data-Driven Artificial Intelligence"

06-01-2026 to

11-01-2026

32.

Dr. Gurrampally Kumar

Associate Professor

One-Day National Conclave on "Shaping the Future: Curriculum Transformation for Enhanced Employability in Higher Educational Institutions"

08-01-2026

33.

Mrs. Radhika

Assistant Professor

One-Week Online FDP on

"Emerging Technologies in Data-Driven Artificial Intelligence"

06-01-2026 to

11-01-2026

34.

Mr. U.

Chandrashekar Reddy

Assistant Professor

One-Week Online FDP on

"Emerging Technologies in Data-Driven Artificial Intelligence"

06-01-2026 to

11-01-2026

35

Ms. Umme Hani

Sara

Assistant

Professor

One Day FDP on "AI Tools for

Education and Research"

20-01-2026

36

Ms. Umme Hani Sara

Assistant Professor

One-Week Online FDP on

"Emerging Technologies in Data-Driven Artificial Intelligence"

06-01-2026 to

11-01-2026

37

Ms. B. Sangeetha

Assistant

Professor

Two Week Intensive Teaching

Workshop

22-12-2025 to

03-01-2026

38

Ms. Sangeetha

Assistant Professor

One-Week Online FDP on

"Emerging Technologies in Data-Driven Artificial Intelligence"

06-01-2026 to

11-01-2026

39.

Dr. Akheel Mohammed

Associate Professor

One Day FDP on "AI tools for the Classroom Management"

02-01-2026

40

Mr. Devdas

Assistant

Professor

Two     Week     Intensive     Teaching

Workshop

22-12-2025 to

03-01-2026

41

Mr. S. Sathish Kumar

Assistant Professor

Expert Lecture on "AI-Augmented Teaching" in Two Week Intensive

Teaching Workshop

22-12-2025 to

03-01-2026

42

Dr Akheel Mohammed

Associate professor

International          Webinar          on "Structuring    a    Research    Paper:

Anatomy of a Strong Manuscript"

03-01-2026

43

Dr. Akheel Mohammed

Associate Professor

One Week National Level Online FDP

/ Workshop on "AI TOOLS IN RESEARCH PAPER WRITING & JOURNAL PUBLICATIONS"

01-01-2026 to

07-01-2026

44

Mr. B. Amarnadh Reddy

Assistant Professor

Two     Week     Intensive     Teaching Workshop

22-12-2025 to

03-01-2026

45

Umme Hani Sara

Assistant Professor

One Week Faculty Development Program on "GEN Z / NEXT GEN EDUCATORS: Elevating Classroom Communication  through  AI  &

EdTech"

19-01-2026 to

24-01-2026

46

Mr. Md Mahebub Ali

Assistant Professor

One-Week Online FDP on "Emerging

Technologies        in        Data-Driven Artificial Intelligence"

06-01-2026 to

11-01-2026

47

Md Mahebub Ali

Assistant

Professor

One  Day  FDP  on  "AI  Tools  for

Education and Research"

20-01-2026

48

Dr. Akheel Mohammed

Associate Professor

Webinar    on    "Best    Practices    in

Research    Article    Writing:    From Concept to Publication"

06-01-2026

49

Dr. Akheel Mohammed

Associate Professor

Online National Level Workshop titled "Real world applications of Quantum computing across industries"

05-01-2026 to

10-01-2026

50

Dr. Akheel Mohammed

Associate Professor

FDP on "Virtual Labs in Engineering, Medicine,       Science       &       Arts

Applications (VEMSA-25)"

19-12-2025

51

Dr. Akheel Mohammed

Associate Professor

Certificate     of     completion     for "Quantum  Fundamentals"  by  Q-

CTRL

14-01-2026

(Issued)

52

Umme Hani Sara

Assistant professor

Online Symposium on "NEP 2020: A

Visionary    Pathway    to    Outcome-Based Education (OBE)"

29-01-2026

Teaching and Learning Process

Innovations in Teaching and Learning

Introduction: The Department of AI&ML is committed to innovative and effective teaching practices that help students to better understand and apply the concepts they are learning, as well as develop important skills that are necessary for success in the field. In this report, we will discuss the innovative teaching and learning techniques followed by the department.

Project-Based Learning: The Department of AI&ML uses project-based learning as a teaching method that focuses on students working on a long-term project or problem that is based on real-world scenarios. This approach allows students to apply their knowledge and skills in a practical way, while also developing critical thinking and problem-solving skills.

For example, students in the B.Tech AI&ML program may work on a project where they are asked to analyse a large dataset and develop a machine learning algorithm that can make predictions based on the data. Students are provided with real-world datasets and are required to work in teams to develop and test their algorithms. This approach not only helps students to apply the concepts they are learning in the classroom to real-world scenarios, but also helps them to develop important teamwork and communication skills.

   

Flipped Classrooms: The Department of AI&ML also uses flipped classrooms as a teaching method. In a flipped classroom, students learn the course material outside of class through online lectures, videos, or readings, and then come to class to engage in activities, discussions, and problem-solving exercises. This approach can help students develop a deeper understanding of the material and allow for more interactive and collaborative learning.

For example, students in the B.Tech AI&ML program may be provided with online video lectures or readings on a specific topic, and then come to class to engage in discussions and problem-solving exercises related to the topic. This approach not only helps students to develop a deeper understanding of the material, but also provides them with the opportunity to engage in interactive and collaborative learning, which can enhance their critical thinking and problem-solving skills.

Active Learning: The Department of AI&ML also uses active learning as a teaching method. Active learning involves engaging students in the learning process through hands-on activities, discussions, and problem-solving exercises. This approach can help students develop a deeper understanding of the material and enhance their critical thinking and problem-solving skills.

For example, students in the B.Tech AI&ML program may engage in hands-on activities, such as building and testing machine learning algorithms or working on real-world projects that require data analysis and prediction. Students may also engage in discussions and problem-solving exercises related to the course material. This approach not only helps students to develop a deeper understanding of the material, but also provides them with the opportunity to engage in interactive and collaborative learning, which can enhance their critical thinking and problem-solving skills.

   

Blended Learning: Blended learning involves combining online learning with traditional classroom methods. This approach can provide students with flexibility and convenience, as well as access to a variety of multimedia materials and interactive simulations. In a blended learning environment, students can work at their own pace and have the opportunity to engage in interactive and collaborative learning.

Peer Teaching: Peer teaching involves having students teach and learn from each other. This approach can help students develop leadership, communication, and critical thinking skills, while also providing opportunities for peer feedback and support.

   

Simulation-Based Learning: Simulation-based learning involves using computer simulations to teach concepts and skills. This approach can provide students with a safe and controlled environment to practice and experiment with complex concepts, such as artificial intelligence and machine learning.

Gamification: Gamification involves using game elements, such as points, badges, and leaderboards, to motivate and engage students in learning. This approach can make learning more enjoyable and immersive, while also providing students with instant feedback and recognition for their achievements.

Personalized Learning: Personalized learning involves tailoring the learning experience to the individual needs and preferences of each student. This approach can help students to learn at their own pace and in a way that suits their learning style, while also providing opportunities for personalized feedback and support.

Inquiry-Based Learning: Inquiry-based learning involves having students explore and discover information through research and investigation. This approach can help students to develop critical thinking and problem-solving skills, as well as a deeper understanding of the subject matter.

   

Service Learning: Service learning involves having students apply their knowledge and skills to real-world problems through community service or volunteer work. This approach can help students to develop empathy, social responsibility, and a deeper understanding of the impact of their work on society.

Conclusion: In conclusion: The Department of AI&ML is committed to innovative and effective teaching practices that help students to better understand and apply the concepts they are learning, as well as develop important skills that are necessary for success in the field. Incorporating these teaching and learning practices into the B.Tech AI&ML curriculum can provide students with a comprehensive and engaging learning experience that prepares them for success in their academic pursuits and careers. By using a combination of these practices, the department can cater to the diverse learning needs and preferences of its students, while also creating a collaborative and supportive learning environment.

Branch Toppers

2024 - 2025 Batch

Sl.No

Roll No

Name of the student

Father's name

CGPA

Medals

1

21671A7306

B CHANDRASHEKAR REDDY

B RAJESHWAR REDDY

9.28

GOLD

2

21671A7303

ANNAM SAI HARSHITHA

ANNAM SESHAGIRI RAO

9.16

SILVER

Video Lectures

Sl No

Name of the Faculty

Designation

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1

Dr. ARUN SAMPAUL THOMAS

Associate Professor

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2

Mr. S. Satish Kumar

Assistant Professor

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Academic Year 2025-2026

INDUSTRIAL VISIT TO T-HUB On a vibrant day [22-01-2026] filled with anticipation, the Department of AI&ML and CSE(AI&ML) from J B Institute of Engineering and Technology embarked on an enriching industrial visit to T-Hub, Hyderabad's premier startup incubator. Students and faculty, including Dr. G. Kumar, Head of the AI&ML Department, and Dr. Akheel Mohammed, Associate Professor in AI&ML, gathered excitedly before boarding the bus. This outing promised deep insights into the intersection of artificial intelligence, machine learning, and real-world entrepreneurship

        

Dr. Akheel Mohammed attended the Employers Summit, a key pre-event of the India AI Impact Summit 2026 hosted by the Magic Bus India Foundation. The summit focused on bridging the gap between current education and industry needs, specifically addressing the theme of "AI-Ready Talent" and what employers require in an increasingly automated workforce. Held in a professional conference setting, the event highlighted the Foundation's large-scale impact on youth livelihoods—boasting over 715,000 participants—while facilitating high-level networking and discussions on integrating emerging technologies into social development

    

Guest Lectures Delivered by AI & ML Faculty for IT and ECM Students - The Department of Computer Science & Engineering at JB Institute of Engineering & Technology (JBIET) organized a workshop titled "AI and I4.0 Tools for Innovators and Entrepreneurs". The session featured Dr. Akheel Mohammed, an Associate Professor from the Department of AI&ML, as the primary Resource Person. Held on January 24th from 11:00 AM to 12:45 PM at the JBIET Placement Seminar Hall, the workshop focused on unlocking the power of Artificial Intelligence to help participants upgrade their knowledge and technical skills.

        

    

The Department of Artificial Intelligence & Machine Learning, J.B. Institute of Engineering & Technology (UGC Autonomous), Hyderabad, conducted an MIC-driven activity titled “AI for Atmanirbhar Bharat: HEI Pre-Summit Engagements towards India AI Impact Summit 2026”, featuring an interactive session on Enhancing Public Service Delivery through AI-Powered Citizen-Centric Governance Models, delivered by Dr. Amit Gupta, Professor, Dept. of AI&ML, on 28 January 2026, with active participation from students and faculty.

Dr. Gurrampally Kumar, Associate Professor, JBIET, was invited by Kakinada Institute of Engineering and Technology (KIET) to deliver guest lectures on Software Testing Methodologies for B.Tech III-year students during 31 January to 1 February 2026, aimed at strengthening core concepts, problem-solving skills, and GATE examination preparation.

        

Rangoli Competition: 1st Price - On the occasion of Sankranti Sambaralu 2026, JB Institute of Engineering & Technology (JBIET) organized a Rangoli Competition to promote traditional art and forms and encourage faculty participation in caltural activities. A team of women faculty members from AI&ML actively participated in the event, demonstrating creativity, artistic skill, and cultural awareness through their Rangoli designs.

    

The inaugural ceremony for the Two-Day IBM SkillsBuild Workshop on Artificial Intelligence and Cybersecurity was successfully conducted at J.B. Institute of Engineering and Technology. The event was organized as a collaborative effort by the Department of Artificial Intelligence & Machine Learning and the Department of CSE (AI & ML).

        

        

    

PROJECT EXPO VISIT - On an inspiring and knowledge-filled day, 28-02-2026, the Department of AI&ML and CSM from J B Institute of Engineering and Technology organized an academic visit to VIGYAN VAIBHAV 2.0 – Project Expo & Public Exhibition at Gachibowli Stadium. The event was organized by Kalam's Institute of Youth Excellence in association with Indian Space Research Organisation (ISRO), AeSI, and T-Works, on the eve of National Science Day. The expo served as a remarkable platform connecting students with advancements in space science, aeronautics, defense technologies, and emerging innovations.

        

Dr. Akheel Mohammad, Associate Professor of AI&ML, and Mr. Purushottam, Assistant Professor, attended the "National Conclave on Research & Deep Technologies for Sustainable Bharat 2047," held on February 28, 2026, in observance of National Science Day. Hosted at the Engineering Staff College of India (ESCI) in Hyderabad and organized by the Research Heights Foundation (RHF), the prominent event convened top policymakers, defense leaders, AI pioneers, and academicians. The conclave's primary agenda was to architect India's research and deep-tech roadmap, ensuring alignment with the national goals of Viksit Bharat @2047 and Atmanirbhar Bharat. Critical discussions throughout the event centered on themes such as AI and national compute infrastructure, deep-tech sovereignty, and the effective translation of academic research into industrial applications. During the opening session, Dr. Nagendra K, Founder and Director of RHF, delivered an address setting the context for collective action, emphasizing the vital need for collaboration among academia, industry, and the government, championed by sustainability ecosystem partners like Greenko.

        

The Department of Computer Science & Engineering in collaboration with Department of Artificial Intelligence and Machine Learning at J B Institute of Engineering & Technology (JBIET) organized a thought-provoking workshop titled “EMPOWERING MARGINALIZED COMMUNITIES USING AI-DRIVEN SOCIAL WELFARE AND MICRO-ENTREPRENEURSHIP PLATFORMS” on February 5th from 1:30 PM to 2:45 PM at the 135 Lab of CSE. The session was delivered by Mr. S. Sathish Kumar, Assistant Professor from the Department of AI&ML, who served as the Resource Person.

        

The Department of Artificial Intelligence & Data Science (AIDS) in collaboration with Department of Artificial Intelligence and Machine Learning at J B Institute of Engineering & Technology (JBIET) successfully organized an MIC-driven activity under the theme “AI for Atmanirbhar Bharat: HEI Pre-Summit Engagements towards India AI Impact Summit 2026.” The session was conducted on 09-02-2026 and focused on the advanced topic, “Implementing Privacy-Preserving Federated Learning Architectures for Secure Multi-Institutional Data Collaboration.”

    

The Department of Electronics and Communication Engineering (ECM) in collaboration with Department of Artificial Intelligence and Machine Learning at J B Institute of Engineering & Technology (JBIET) organized an MIC-driven activity under the theme “AI for Atmanirbhar Bharat: HEI Pre-Summit Engagements towards India AI Impact Summit 2026.” The workshop was conducted on 13-02-2026 and focused on the topic “Artificial Intelligence Solutions for Accessibility in Education, Workplaces, and Public Services for Persons with Disabilities.”

        

The Department of Electrical and Electronics Engineering (EEE) in collaboration with Department of Artificial Intelligence and Machine Learning at J B Institute of Engineering & Technology (JBIET) organized an MIC-driven activity under the theme “AI for Atmanirbhar Bharat: HEI Pre-Summit Engagements towards India AI Impact Summit 2026.” The session was conducted on 17-02-2026 on the topic “Developing Comprehensive Ethical Frameworks for Governance of Artificial Intelligence in High-Stakes Decision-Making Domains.”

    

The Department of Artificial Intelligence and Machine Learning at J B Institute of Engineering & Technology (JBIET) organized a One-Day Seminar on the topic “Intellectual Property Rights: Protecting Innovation and Creativity” on 27-02-2026. The seminar aimed to create awareness among students and faculty about the importance of Intellectual Property Rights (IPR) in safeguarding innovations, research contributions, and creative works in the modern technological landscape.

    

One-Week FDP on AI Tools for Research Methodology

        

MINI PROJECT ORIENTATION FOR III YEAR AIML AND CSM STUDENTS: An orientation session on “Structured Approach to Mini Project Development” was conducted by SAK Informatics, a Hyderabad-based IT services company, for III Year AIML and CSM students on March 30, 2026. The session aimed to guide students in executing mini projects with a professional and industry-oriented approach. The session was highly interactive and focused on bridging the gap between academic project work and real-world expectations.

    

INDUSTRIAL VISITS: The industrial visits organized by the CSE (AI&ML) and AI&ML departments to the National Remote Sensing Centre (NRSC), Hyderabad provided valuable exposure to students in the domain of satellite data processing, geospatial technologies, and real-world AI applications. Students gained practical insights into how remote sensing supports environmental monitoring, disaster management, and resource planning.

        

 

Academic Year 2024-2025

One Day Student Forum on “Applications of AI & Introduction to Julia Programming” conducted on 12-04-2023.

        

Industrial Visits to DRDL Hyderabad on 17-04-2023

        
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