PhD Scholar
Department of Computer Science and Engineering
Indian Institute of Technology Kanpur
Contact: abhijais[at]cse[dot]iitk[dot]ac[dot]in
Supervisor: Prof. Nisheeth Srivastava
AI in Healthcare, Human Computer Interaction, Reinforcement Learning, Cognitive Science
I work with human pose trajectories to detect onset of medical conditions with biomechanics symptoms at home settings. I also use these bio-signals to recommend form corrections in yoga and exercises.
My research aims to facilitate at home diagnosis especially when expert guidance is unavailable or too costly.
I am currently in my 6th Year of Ph.D. and will be joining RICE University as a Mehta Rice Engineering Scholar from Sept to Dec '25 where I will be working with Dr. Vaibhav Unhelkar to develop assitive technology for human task execution in medical settings.
I am open to Postdoc Opportunities.
Abhishek Jaiswal and Nisheeth Srivastava 2024. Benchmarking Reliability of Deep Learning Models for Pathological Gait
Classification
Machine Learning for Healthcare (MLHC), 2024
Poster
PrePrint
Abhishek Jaiswal and Nisheeth Srivastava 2024. Learning to Play Video Games with Intuitive Physics Priors
Proceedings of the Annual Meeting of the Cognitive Science Society, 2024
Poster
Paper
Abhishek Jaiswal, Gautam Chauhan, and Nisheeth Srivastava 2023. Using Learnable Physics for Real-Time Exercise Form Recommendations
In Seventeenth ACM Conference on Recommender Systems (RecSys ’23), September 18-22, 2023, Singapore, Singapore. ACM, New
York, NY, USA, 11 pages 688–695, doi.org/10.1145/3604915.3608816.
Poster
Paper
Video
Poster presented on AI empowered Yoga Trainer in National Youth Conference on Indian Knowledge Systems 2023
Presented our work on Cognitive game playing agents on CSE Research Scholar Day
ESC101A Fundamentals of Computing (TA and Tutor)
CS772: Probabilistic Machine Learning
CS776: Deep Learning For Computer Vision
CS771A: INTRODUCTION TO MACHINE LEARNING
CS786: Computational Cognitive Science