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

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