BITS Pilani

  • Page last updated on Saturday, April 15, 2023

    • Snehanshu Saha

Research Interest

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Research Interest

Research Interest

  • 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. 
    All code bases related to the group's research are available at : https://github.com/sahamath
     
    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 
     

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