I develop methods in Computational Learning Theory (COLT) and Mathematics of Data Science (MDS) Techniques
I focus on: Pointwise smooth approximations of gradient, discovering activation functions from data, smoothness and convexity studies of loss functions, methods in interpretable deep learning, novel loss functions in back-propagation, Chaos-causality in Deep Neural Networks, pruning/compression in Deep Neural Networks, Kernels for Classical Learning
Goals: Efficient, reliable and robust Inferences (One Landscape)
Dreams: Porting methodological elegance of classical machine learning to deep learning
Tools I use: Measure Theory, NonLinear Optimization, Functional Analysis, Econometrics, Dynamical Systems, Algorithms
Applications: Biology, Healthcare, AstroInformatics, Transportation, Industrial Systems and Automation
I have initiated a new focus group on Astroinformatics, in collaboration with a few colleagues in Indian Institute of Astrophysics and National Institute of Advanced Studies.
Industry Collaboration and MoUs
I drive and engage in providing solutions to applied AI problems in Industry. I have collaborated with Reflexis Systems Inc, USA and GE Healthcare, India. Active collaborations with other Scientific organizations such as ICMR, DAE is being actively pursued.
MoUs: HappyMonk AI Labs, Bangalore and Wadwani AI, USA.
Over the next 5 years, I will be focused in the following areas:
Theory of Shallow Neural Nets
Chaotic Neural Networks
Swarms and Super-optimizers
Differential Equation based Modeling in Neural Networks
Kernels in Neural Nets
Classification in Large Astronomy Data Sets
Some Research Talks (Invited/Keynote) are available here: https://www.youtube.com/playlist?list=PLMj0pXCZmlXhYD43yMvn54pFhbtWreUJb
Awards/Recognitions
1. Fellow, Institute of Electronics and Telecommunication Engineers, IETE, Contribution in AI (2020)
2. Leadership, Computer Society Global Outstanding Chapter Leadership Award, IEEE, Contribution in Outreach and Volunteer Activities, USD 1000 (2020)
3. Outstanding Alumni Award, Jawharlal Nehru National College of Engineering, for contributions to foundational research in AstroInformatics and continuing education (2020)
4. Best Paper Award, Steven Yu, V. Raychoudhury, S.Saha; Dynamic Taxi Ride-Sharing through Adaptive request Propagation Using Regional Taxi Demand and Supply, EAI, Mobiquitous (2021)
5.Best Paper Award, Main track of 34th IEEE International Conference on Industrial, Engineering Other Applications of Applied Intelligent Systems;J.Sarkar, S.Sarkar, S.Saha, S.Das; d-BTAI: the dynamic-Binary Tree Based Anomaly Identification Algorithm for Industrial Systems, IEEE, IEA/AIE (2021)
6. Advisor (Honorary), Center of Excellence in Data Science, University of Rwanda, Kigali, Rwanada (2022)
Ph.D. Students (BITS Pilani) [03]
1.Jyotirmoy Sarkar, Jan 18, 2023 (Completed) (Senior Staff Scientist, GE Healthcare, Bangalore)
2. Rajib Biswas (2022-current)
3. Lokesh Kumar (co-supervised with Prof. Sanjay Sahay) (2019-current)
Ph.D. supervision (elsewhere) [Completed-12]
Subhamangala BR, 2015 (Scientist, Accenture Research Labs,Bangalore)
Kusuma. M, 2016 (Professor, Dayanand Sagar University, Bangalore)
Sobin CC, 2017 (Associate Professor, Dept. of CSE, SRM University, Amravati)
Fidele. H, 2019 (Director of Ngoma Campus, Adventist University of Central Africa, Rwanda)
Surbhi Agrawal, 2021 (Associate Professor, School of Computing, RV Institute of Technology and Management, Bangalore)
Kakoli Bora, 2021 (Associate Professor, Dayanand Sagar University Bangalore)
Bidisha Goswami, 2021 (Manager-RD Analytics, Michelin India Technology Center, Pune)
Archana Mathur, 2021 (Associate Professor, Nitte Meenakshi Inst. of Technology)
Sudeepa Roy Dey, 2021 (Associate Professor, PES University)
Sumana Sinha, 2023 (Associate Professor, IEM University, Kolkata)
Swati Gambhire, 2023 (Assistant Professor, PES University)
Gouri Deshpande, 2021 (Assistant Professor, University of Calgary, Canada)
Ph.D. supervision (elsewhere) [Current-02]
1. Pierre Celestin Zirarushya, The African Centre of Excellence in Data Science (ACE-DS), University of
Rwanda
2.Sende Ngong Ho, The African Centre of Excellence in Data Science (ACE-DS), University of Rwanda
NOTE for Students: I only mentor students on a minimum of TWO-semester commitment basis. You need to work with me informally during the summer of an academic year, before you can register in the Fall of the academic year. I can't accommodate students on shorter duration.
Research Collaboration(Outside BITS Pilani)
B.S. DayaSagar, ISI Bangalore
Sriparna Saha, IIT Patna
Jayant Murthy, IIAP Bangalore
Margarita Safonova, IIAP Bangalore
Saibal Kar, CSSS & IZA Bonn
Jyotirmoy Sarkar, GE Healthcare
Vaskar Raychaudhury, U.Miami, Ohio
Gouri Ginde, University of Calgary
Mousumi Das, IIAP, Bangalore
Oleg Malkov, Russian Academy of Sciences
Soma S. Dhavala, MLSquare
Rahul Yedida, NC State University
Suryoday Basak, Penn State University
Eric Feigelson, Penn State University
Carlos A. Coello Coello, Univ. of Mexico
Swagatam Das, ISI Kolkata
Nithin Nagaraj, NIAS
Abhyuday Mandal, Univ. of Georgia
Chandrajit Bajaj, UT Austin
Saroj Meher, ISI Bangalore