Founder & CEO · Co-Founder & Research Head

Dr. J. Uthayakumar

A visionary academic leader and pioneering researcher with deep expertise in Artificial Intelligence, Data Analytics, IoT Systems, and Computer Vision. Over the years, this initiative has empowered a broad academic community — nurturing young minds, driving impactful research, and fostering collaborations that connect academia with industry. With a steadfast commitment to innovation-driven learning and applied research, the work continues to shape future-ready professionals and contribute to the global research ecosystem.

Email uthayakumar@thinkgrail.com Phone +91 96775 83754 LinkedIn Uthayakumar J GitHub uthayresearchscholar-grail Location Puducherry, India

Present Role · 2019 — Present

Founder & CEO

Genesys Academy of Computer Science genesysacademy.in ⤴

Co-Founder & Research Head

Genesys Research & AI Labs (GRAIL) thinkgrail.com ⤴

Leading institutional AI research · Supervising doctoral scholars · Industry–academia collaboration

Journey

From the classroom to building a research lab

A path shaped by academic distinction, doctoral research in image compression, and a decade spent turning that research into an institution for AI education and applied science.

2008 — 2014

Foundations — BCA & MCA

Completed a Bachelor's and Master's in Computer Applications at Pondicherry University, graduating as University Gold Medalist and Second Rank Holder, with early projects in authentication protocols and classification rule discovery.

2015 — 2019

Ph.D. in Computer Science & Engineering

Researched near-lossless image compression algorithms for continuous and discrete tone colour images at Pondicherry University, laying the foundation for a decade of work in image processing and compression.

2017 — 2019

Funded Researcher

Led a UGC–SERO funded project studying depression, anxiety, and stress among students through social media data mining — an early move toward applying AI to real-world, human-centred problems.

2019 — Present

Founder & Research Head

Founded Genesys Academy of Computer Science and co-founded GRAIL, coordinating interdisciplinary research, supervising scholars, and publishing across AI, computer vision, IoT, and data analytics.

Future

Growing the Research Ecosystem

The next chapter is about scaling GRAIL's research output, expanding academic partnerships, and mentoring the next generation of AI researchers and practitioners.

2008 → Present → Future

Learn Research Publish Mentor Scale

Academic Qualifications

Academic Journey Through the Years

2015 – 2019

Ph.D., Computer Science & Engineering

Pondicherry University

Thesis: A New Efficient Near-Lossless Image Compression Algorithm for Continuous and Discrete Tone Colour Images.

2011 – 2014

Master of Computer Applications (MCA)

Sri Manakula Vinayagar Engineering College, Pondicherry University

Project: Bankruptcy Forecasting — Classification Rule Discovery from Qualitative Data using the Ant-Miner Algorithm.

2008 – 2011

Bachelor of Computer Applications (BCA)

Achariya Arts & Science College, Pondicherry University

Project: Lightweight Authentication Mechanism for Scalable Video Streams with Low Communication Overhead.

Awards & Recognitions

Academic distinctions and mentoring impact

Gold Medal

University Gold MedalistOutstanding academic excellence during undergraduate studies.

BCA

Rank Holder

University Second Rank HolderOutstanding academic performance in the MCA programme.

MCA

Distinction

Highest Academic DistinctionReceived for exceptional academic achievements.

BCA

Mentorship

AI Competition MentorGuided student teams to winning positions in TCS AI Mania 2018 and Human AI 2019.

2018–19

Academic Responsibilities

Board of Studies (BOS) Member — MCA

Sri Manakula Vinayagar Engineering College (SMVEC). Contributed to curriculum design, incorporating emerging technologies and research-oriented learning.

Curriculum Design

Board of Studies (BOS) Member — B. Tech, AI & DS

SMVEC. Integrated Artificial Intelligence, Machine Learning, and Data Science modules to promote interdisciplinary education.

Curriculum Design

Board of Studies (BOS) Member — BCA & MCA

Manakula Vinayagar Institute of Technology (MVIT). Supported curriculum modernization and outcome-based education.

Curriculum Design

Board of Studies (BOS) Member — B. Tech, CSE & Data Science

VIGNAN's Foundation for Science, Technology & Research (Deemed to be University). Supported curriculum modernization and outcome-based education.

Curriculum Design

Professional Activities

Provides research guidance in AI, Machine Learning, Computer Vision, Data Analytics, IoT, and Deep Learning.
Conducts Faculty Development Programmes (FDPs), workshops, seminars, and technical training.
Mentors undergraduate, postgraduate, and doctoral research scholars.
Supports collaborative research with universities, industries, and research laboratories.
Acts as reviewer for reputed international journals and conferences.
Encourages industry–academia collaboration through internships and funded research.

Funded Research Project · 2017 — 2019

Data Mining for Depression, Anxiety & Stress Among Students

UGC–SERO, Hyderabad · Minor Research Project · ₹80,000

The project explored data mining and analytics techniques to assess Depression, Anxiety and Stress (DAS) among school and college students using social media data. Behavioural analysis, linguistic patterns and digital footprints were integrated with psychological assessment methods to support early mental health intervention.

Research Interests & Impact

Built through two decades of applied AI research

Research Interests

Artificial Intelligence Machine Learning Deep Learning Computer Vision Image Processing Natural Language Processing Generative AI Agentic AI Systems IoT Systems Edge Computing Data Analytics Image Compression

Research Excellence & Impact

33

Total publications

29

Journal articles

02

Conference Papers

01

Book Chapters

01

Books Published

14

First authorship

33

Corresponding Authorship

04

Google Scholar

25

Scopus indexed

16

Science Citation Indexed

06

Patents (design & utility)

110.44

Cumulative impact factor

Scholarly Impact Metrics

2,100+

Total citations

17

Google Scholar h-index

19

Google Scholar i10-index

27.0

Highest impact factor

387 citations

Highest cited article

13

Q1 Publications

02

Q2 Publications

02

Q3 Publications

01

Q4 Publications

Publications & Research Contributions

Selected journal publications

A selection of the most-cited and highest-impact work across image compression, computer vision, optimization, and applied healthcare AI. See Google Scholar or Scopus for the complete list.

Metaheuristic Optimization Based Energy Aware Clustering with Routing Protocol for Lifetime Maximization in Wireless Sensor Networks

Chinnarao Kurangi · Kiran Kumar Paidipati · Dr. A. Siva Krishna Reddy · J. Uthayakumar · G. Kadiravan · Shabana Parveen — International Journal of Communication Systems, Wiley, 2024 · SCIE · IF 1.8

Optimization · Wireless Sensor Networks

International Journal of Communication Systems Cover

Ensemble of Deep Reinforcement Learning with Optimization Model for DDoS Attack Detection and Classification in Cloud Based Software Defined Networks

Paidipati K.K. · Kurangi C. · J. Uthayakumar · et al. — Multimedia Tools and Applications, Springer, 2024 · SCIE · IF 3.6

Deep Reinforcement Learning · Network Security

Wireless Sensor Network Assisted Automated Forest Fire Detection Using Deep Learning and Computer Vision Model

Paidipati K.K. · Kurangi C. · J. Uthayakumar · et al. — Multimedia Tools and Applications, Springer, 2023 · SCIE · IF 3.6

Computer Vision · Deep Learning · Forest Fire Detection

Metaheuristic Optimization Based Node Localization and Multihop Routing Protocol with Mobile Sink for Wireless Sensor Networks

Soundararajan S. · Chinnarao Kurangi · Anwer Basha · J. Uthayakumar · Kalaivani K. · Dhamodaran M. · Neeraj Kumar Shukla — Wireless Personal Communications, Springer, 2023 · SCIE · IF 2.2

Wireless Sensor Networks · Routing · Mobile Sink

Multi-modal Fusion of Deep Transfer Learning Based COVID-19 Diagnosis and Classification Using Chest X-ray Images

Reddy A.S.K. · Rao K.B. · Soora N.R. · Shailaja K. · Kumar N.S. · Sridharan A. · J. Uthayakumar — Multimedia Tools and Applications, Springer, 2023 · SCIE · IF 3.6

Healthcare AI · Transfer Learning · COVID-19

An Efficient Near Lossless Image Compression Algorithm Using Dissemination of Spatial Correlation for Remote Sensing Color Images

J. Uthayakumar · T. Vengattaraman · S. Arjunan — Wireless Personal Communications, Springer, 2022 · SCIE · IF 2.2

Image Compression · Remote Sensing

Secure Content Based Image Retrieval System Using Deep Learning with Multi Share Creation Scheme in Cloud Environment

Punithavathi R. · Ramalingam A. · Kurangi C. · Reddy A.S.K. · J. Uthayakumar — Multimedia Tools and Applications, Springer, 2021 · SCIE · IF 3.6

Image Retrieval · Cloud Security

Highly Reliable and Low Complexity Image Compression Scheme Using Neighborhood Correlation Sequence Algorithm in WSN

J. Uthayakumar · M. Elhoseny · K. Shankar — IEEE Transactions on Reliability, 2020 · SCIE · IF 5.7

Image Compression · Wireless Sensor Networks

Intelligent Diagnostic Prediction and Classification System for Chronic Kidney Disease

K. Shankar · M. Elhoseny · J. Uthayakumar — Scientific Reports (Nature), 2019 · SCI · IF 3.9

Healthcare AI · Disease Prediction

Optimal Parameter Tuning for PID Controller Using Accelerated Grey Wolf Optimization in Smart Sensor Networks

Rajakumar R. · Sivanandhakumar D. · J. Uthayakumar · T. Vengattaraman · Dinesh K. — Electronic Government International Journal, Inderscience, 2020 · Scopus Indexed

PID Controller · Grey Wolf Optimization · Smart Sensor Networks

Electronic Government International Journal, Inderscience Cover

An Efficient Healthcare Framework for Kidney Disease Using Hybrid Harmony Search Algorithm

Prasad Koti · P. Dhavachelvan · T. Kalaipriyan · Sariga Arjunan · J. Uthayakumar · Pothula Sujatha — Electronic Government International Journal, Inderscience, 2020 · Scopus Indexed

Healthcare · Kidney Disease · Harmony Search

Online Clinical Decision Support System Using Optimal Deep Neural Networks

S. K. Lakshmanaprabu · S. N. Mohanty · Sheeba Rani S. · Sujatha Krishnamoorthy · J. Uthayakumar · K. Shankar — Applied Soft Computing, Elsevier, 2019 · SCIE · IF 6.6

Healthcare AI · Deep Neural Networks

Region-based Scalable Smart System for Anomaly Detection in Pedestrian Walkways

B. S. Murugan · M. Elhoseny · K. Shankar · J. Uthayakumar — Computers & Electrical Engineering, Elsevier, 2019 · SCIE · IF 4.9

Computer Vision · Anomaly Detection

Computers & Electrical Engineering Cover

An Effect of Big Data Technology with Ant Colony Optimization Based Routing in Vehicular Ad Hoc Networks: Towards Smart Cities

S. K. Lakshmanaprabu · K. Shankar · Sheeba R. S. · Enas A. · Arunkumar N. · Ramirez G. · J. Uthayakumar — Journal of Cleaner Production, Elsevier, 2019 · SCIE · IF 10.0

IoT · Big Data · Smart Cities

Financial crisis prediction model using ant colony optimization

J. Uthayakumar · Noura Metawa. K · Shankar · S. K. Lakshmanaprabu — International Journal of Information Management, Elsevier, 2018 · SCIE · IF 27.0

Financial Prediction · Optimization · Data Mining · Finance

International Journal of Information Management Cover

A new lossless neighbourhood indexing sequence (NIS) algorithm for data compression in wireless sensor networks

J. Uthayakumar · T. Vengattaraman · P. Dhavachelvan — AdHoc Networks, Elsevier, 2018 · SCIE · IF 4.8

Wireless Sensor Networks · Compression Algorithms · NIS · Data Communication

A New Objective Image Quality Assessment Metric: For Color and Grayscale Images

Uthayakumar Jayasankar · Thirumal Vengattaraman · Ponnurangan Dhavachelvan — 3D Research, Springer, 2018 · Scopus / ESCI / ACM · IF 0.89

Image Quality Assessment · Computer Vision

Swarm Intelligence Based Classification Rule Induction (CRI) Framework for Qualitative and Quantitative Approach: An Application of Bankruptcy Prediction and Credit Risk Analysis

J. Uthayakumar · T. Vengattaraman · P. Dhavachelvan — Journal of King Saud University – Computer and Information Sciences, Elsevier, 2017 · SCI · IF 13.473

Classification · Swarm Intelligence · Credit Risk

Journal of King Saud University – Computer and Information Sciences Cover

A Survey on Data Compression Techniques: From the Perspective of Data Quality, Coding Schemes, Data Type and Applications

J. Uthayakumar · T. Vengattaraman · P. Dhavachelvan — Journal of King Saud University – Computer and Information Sciences, Elsevier, 2018 · SCI · IF 13.473

Data Compression · Survey

Social Spider Optimization Algorithm for Effective Data Classification: An Application of Stock Price Prediction

R. Saravanan · P. Sujatha · G. Kadiravan · J. Uthayakumar — International Journal of Recent Technology and Engineering (IJRTE), 2019 · Scopus Indexed

Data Classification · Stock Price Prediction

International Journal of Recent Technology and Engineering (IJRTE) Cover

Social Spider Optimization with Tumbling Effect Based Data Classification Model for Stock Price Prediction

R. Saravanan · P. Sujatha · G. Kadiravan · J. Uthayakumar — International Journal of Innovative Technology and Exploring Engineering (IJITEE), 2019 · Scopus Indexed

Data Classification · Stock Price Prediction

International Journal of Innovative Technology and Exploring Engineering (IJITEE) Cover

A Simple Data Compression Algorithm for Anomaly Detection in Wireless Sensor Networks

J. Uthayakumar · T. Vengattaraman · J. Amudhavel — IJPAM, 2017 · Scopus Indexed

Data Compression · Wireless Sensor Networks · Anomaly Detection

Fuzzy Based Clustering to Maximize Network Lifetime in Wireless Mobile Sensor Networks

M. Buvanesvari · J. Uthayakumar · J. Amudhavel — JARDCS, 2017 · Scopus Indexed

Fuzzy Clustering · Wireless Sensor Networks

Data Compression Algorithm to Maximize Network Lifetime in Wireless Sensor Networks

J. Uthayakumar · T. Vengattaraman · J. Amudhavel — JARDCS, 2017 · Scopus Indexed

Data Compression · Wireless Sensor Networks

A Simple Lossless Compression Algorithm in Wireless Sensor Networks: An Application of Seismic Data

J. Uthayakumar · T. Vengattaraman · J. Amudhavel — IIOAB Journal, 2017 · ESCI – Web of Science

Lossless Compression · Seismic Data · Wireless Sensor Networks

A Simple Lossless Compression Algorithm in Wireless Sensor Networks: An Application of Wind Plant Data

J. Uthayakumar · T. Vengattaraman · J. Amudhavel — IIOAB Journal, 2017 · ESCI – Web of Science

Lossless Compression · Wind Plant Data · Wireless Sensor Networks

Heart Disease Prediction Using Hybrid Harmony Search Algorithm with Levi Distribution

P. Koti · P. Dhavachelvan · T. Kalaipriyan · S. Arjunan · J. Uthayakumar · P. Sujatha — IJMET, 2017 · Scopus Indexed

Healthcare · Heart Disease Prediction · Harmony Search

Classification Rule Discovery Using Ant-Miner Algorithm: An Application of Network Intrusion Detection

J. Uthayakumar · D. Nivetha · D. Vinotha · M. Vasanthi — International Journal of Modern Engineering Research (IJMER), 2014

Ant-Miner · Classification · Network Intrusion Detection

International Journal of Modern Engineering Research (IJMER) Cover

Swarm Intelligence: An Application of Ant Colony Optimization

A. Ilamaran · S. Ganapathiram · R. Ashwin Kumar · J. Uthayakumar — International Journal of Modern Engineering Research (IJMER), 2014

Swarm Intelligence · Ant Colony Optimization

Conference Publications

Selected conference papers

Peer-reviewed conference papers presented at the IEEE International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore.

Compression Techniques are Lovable or Hateful: For Discrete Tone Images

J. Uthayakumar · T. Vengattaraman — 2018 IEEE International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India · 2018

Image Compression · Discrete Tone Images · IEEE · DOI: 10.1109/ICECA.2018.8474767

Performance Evaluation of Lossless Compression Techniques: An Application of Satellite Images

J. Uthayakumar · T. Vengattaraman — 2018 IEEE International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India · 2018

Lossless Compression · Satellite Images · IEEE · DOI: 10.1109/ICECA.2018.8474759

Books & Book Chapters

Books and book chapters

Authored and contributed publications covering wireless sensor networks, multimedia applications, and information security.

Understanding Wireless Sensor Networks: An Algorithmic Perspective

J. Uthayakumar — LAP Lambert Academic Publishing, United Kingdom · 2020 · Book

Wireless Sensor Networks · Algorithms · Academic Book · LINK: Book-Uthayakumar

Introduction to Multimedia Tools and Application

A. R. W. Sait · J. Uthayakumar · K. Shankar · K. Sathesh Kumar — Handbook of Multimedia Information Security: Techniques and Applications, Springer · 2019 · Book Chapter

Multimedia · Information Security · Book Chapter · DOI: 10.1007/978-3-030-15887-3_1

Dataset Contributions

Open datasets for the research community

Qualitative Bankruptcy Dataset

Curated dataset supporting bankruptcy prediction, credit risk assessment, explainable AI, and business sustainability research.

DOI

10.24432/C52889 ⤴︎

Instances / Features / Views

250 · 6 · 6,076

Kaggle Dataset

Discrete Tone Image Dataset

Dataset designed for image processing, computer vision, image quality assessment, and deep learning experiments.

DOI

10.24432/C5ZG72 ⤴︎

Images / Colorspace / Views

71 · RGB / Grayscale / Binary · 1,496

Kaggle Dataset

Flickr8k Tamil Image Caption

Tamil image caption dataset built from Flickr8k for vision-language learning, image captioning, and Tamil NLP research.

DOI

Images / Dataset Type / Views

8091 · Image + Text · 90

Kaggle Dataset

Contact

Let's collaborate on research

Scholars, interns, faculty members, and collaborators interested in wireless sensor networks, AI, and IoT research are welcome to connect for academic collaboration.

Have a research idea worth exploring?

Let's talk →

Phone+91 96775 83754 Emailuthayakumar@thinkgrail.com Google ScholarView profile ScopusView author profile ORCID0000-0003-3361-7077

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