Previous Published Papers: https://ieeexplore.ieee.org/xpl/conhome/11031246/proceeding
The scope of the conference aims to advance the current level of data science and Business Systems across different fields and stimulating innovation to challenge intricate real-world problems. The conference covers a broad spectrum of data science, machine learning, and business Systems topics would highlight cutting-edge research, emerging trends like explainable AI, IoT analytics, and ethical considerations in data science, alongside practical applications in industry sectors. It would serve as a key connection for academia-industry collaborations, knowledge exchange, and innovation in applying data science to solve real-world problems. The event would also focus on the latest tools and case studies, reflecting current trends and advancements in technology and business strategies.
Submission of Full Paper
8th March, 2026
Authors Notification
25th March, 2026
Final Manuscript Due
30th March, 2026
Registration fees
Indian Author | Non- IEEE members(₹) | IEEE members(₹) |
| Student ( UG / PG / Research Scholar) | 6000 | 5000 |
| Faculty / Academician | 7000 | 6000 |
| Corporate Sector / Others | 10000 | 8000 |
| Foreign Author | Non- IEEE members($) | IEEE members($) |
| Academic / Research Scholar / Corporate Sector | 120 | 100 |
Members
CHIEF PATRONS
PATRONS & ORGANIZING CHAIR
ADVISORY BOARD MEMBERS
CONFERENCE CHAIR
ADVISORY BOARD
CHIEF PATRONS
- Dr. T. R.Paarivendhar, Chancellor, SRMIST
- Dr. P.Ravi Pachamoothoo, Pro-Chancellor (Administration), SRMIST
- Dr. P. Sathyanarayanan, Pro-Chancellor (Academics), SRMIST
- Dr. R. Shivakumar, Vice President, SRMIST
PATRONS & ORGANIZING CHAIR
PATRONS:
- Dr. C. Muthamizhchelvan, Vice Chancellor, SRMIST
- Dr. S. Ponnusamy, Registrar, SRMIST
- Dr. Leenus Jesu Martin M, Dean (CET), SRMIST
- Dr. B. Neppolian, Dean (Research), SRMIST
ORGANIZING CHAIR:
- Dr. Revathi Venkataraman, Professor & Chairperson, School of Computing, SRMIST
- Dr. M. Pushpalatha, Professor & Associate Chair, SRMIST
- Dr. C. Lakshmi, Professor & Associate Chair, SRMIST
ADVISORY BOARD MEMBERS
- Dr. V. Kavitha , Professor & Head, Data Science and Business Systems, SRMIST
- Dr. G. Niranjana , Professor & Head, Computing Technologies, SRMIST
- Dr. M. Lakshmi, Professor & Head, Professor & Head, Networking and Communications, SRMIST
- Dr. R. Annie Uthra, Professor & Head, Computational Intelligence, SRMIST
CONFERENCE CHAIR
CONVENOR:
- Dr. Kavitha V, Professor, DSBS, SRMIST
- Dr. Sasikala E, Professor, DSBS, SRMIST
CO-CONVENORS:
- Dr. S. Ganesh Kumar, Professor, DSBS, SRMIST.
- Dr. A. Murugan, Professor, DSBS, SRMIST.
COORDINATORS:
- Dr. A. Shanthini, Professor
- Dr. K. Shanthakumari, Associate Professor
- Dr. John Deva Prasanna, Assistant Professor
ADVISORY BOARD
- Dr. K. Porkumaran, Chairman, IEEE Madras Section & Principal, Sri Sairam Engineering College.
- Dr. R. Hariprakash, Secretary, IEEE Madras Section.
- Dr. S. Radha, Treasurer, IEEE Madras Section.
- Dr. N. Kumarappan, Chair, IEEE CIS Madras Chapter, Chennai.
- Dr. P. Sakthivel, Chair, IEEE Computer Society, Madras Chapter.
- Gopalakrishnan R, Principal, K S Ramasamy college of Technology.
- Dr K B Jayanthi, Dean School of Electrical Sciences.
- Dr. Diptendu Sinha Roy, Associate Professor, Computer Science and Engineering, National Institute of Technology Meghalaya.
- Dr. D. S. Guru, Professor and Chairman, Department of Studies in Computer Science, University of Mysore, anasagangotri, Mysore – 570 006, India.
- Thinagaran Perumal, Universiti Putra Malaysia, Malaysia.
- Sudhir Dixi, University of Oslo, Norway.
- Dr Raj Gururajan, University of Southern Queensland, Australia.
- Dr Gunasekaran Thangavel, College of Engineering and Technology, University of Technology and Applied Sciences, Muscat.
- Anand Jeyaraj, Wright State University, USA.
- Venkatesh Meda, University of Saskatchewan, Canada.
- Mr Prakash Venkatachalam, Bridgeline digital, USA.
- Ms Suganya Anbumani, Envestnet, Inc, USA.
Themes and Sub - Themes
Track I: Machine Learning
Track II: AI & Deep Learning
Track III: Data Engineering
Track IV: Computer Vision And Image Processing
Track V: Advancements In Natural Language Processing
Track VI: Data Science And Computing Technologies For Healthcare
Track VII: Iot Solutions For Sustainable Development
Track I: Machine Learning
- Algorithms and Models
- Feature Engineering
- Supervised Learning – Classification, Regression
- Unsupervised Learning
- Semi-supervised Learning
- Association rule Mining
- Recommendation System
- Spatio Temporal Learning
- Time Series Data
Track II: AI & Deep Learning
- Heuristic Search, nature inspired search
- Fuzzy and Rough Set
- Reinforcement Learning
- ANN and Deep Neural Networks
- RNN, CNN, RBM, Transformer
- Auto Encoder, GAN, Transfer Learning
- Generative AI: Natural Language Processing, Computer Vision, Audio Analytics, Video Analytics, Code Analytics
- Application in Computer Vision, Natural Language Processing
- AI based on capabilities: Narrow AI, General AI, Super AI
- AI based on functionalities: Reactive machine, Limited Mind, Theory of Mind
- Other research Issues and Interdisciplinary applications in Science, Social Science and Humanities
Track III: Data Engineering
- Data warehouse and Data Lakes
- AI for Database Systems
- Data Stream Systems and Edge Computing
- Database technology for AI
- Explainability, Fairness, and Trust in Data Systems and Analysis
- Graphs, Networks, and Semi-Structured Data
- Uncertain, Probabilistic, and Approximate Databases
Track IV: Computer Vision And Image Processing
- Image Segmentation and Object Detection
- Image Classification and Recognition
- Feature Extraction and Description
- Deep Learning for Computer Vision
- 3D Computer Vision and Stereo Vision
- Biomedical Image Analysis
- Video Analysis and Action Recognition
- Object Tracking and Motion Analysis
- Applications of Computer Vision
- Deepfake Detection and Image Forensics
- Multi-modal Fusion and Cross-modal Retrieval
- Benchmark Datasets and Evaluation Metrics
- Hardware and Embedded Vision Systems
Track V: Advancements In Natural Language Processing
- Neural Architectures for Natural Language Processing
- Multimodal NLP
- Ethical and Societal Implications of NLP
- Dialogue Systems and Conversational Agents
- Machine Translation and Multilingual NLP
- Knowledge Representation and Reasoning
- Text Generation and Summarization
- Semantic Analysis and Understanding
- Information Retrieval and Question Answering
- Domain-Specific Applications
- Evaluation Metrics and Benchmarking
- Text-to-speech and speech-to-text technologies
- Intelligent tutoring systems
Track VI: Data Science And Computing Technologies For Healthcare
- Biomedical Imaging Technologies.
- Image Visualization Techniques.
- Medical Image Mining & Retrieval System.
- Cognitive Neuro Imaging and Processing.
- Video Analytics in Healthcare & Predictive Modeling.
- Precision Medicine and Personalized Healthcare
- Clinical Decision Support Systems
- Computer-Aided and Automated Diagnosis.
- Bioinformatics
- Physiological Modeling.
- XR in Healthcare.
- Big Data Analytics and Data Mining in e-Health.
- Telemetry and Telemedicine.
Track VII: Iot Solutions For Sustainable Development
- Sustainable Transportation
- Renewable Energy Management
- Sustainable Water Resources
- Smart Buildings and Cities
- Wildlife Protection and Conservation
- Sustainable Healthcare
- Climate Change Mitigation
- Smart Agriculture and Food Security
- Disaster Risk Reduction
- Smart Waste Management
Under Construction
