Jagmohan Chauhan is a lecturer (aka assistant professor) in the top notch ECS department at the University of Southampton and a visiting researcher at the University of Cambridge. Prior, he was a postdoctoral researcher in Mobile Systems Group at the University of Cambridge. He is interested and working on topics that deal with optimizing embedded machine learning (TinyML), machine learning for health, and designing mobile/ubiquitous computing systems using commodity sensing (mainly acoustics) for healthcare. He obtained his PhD from the School of Electrical Engineering and Telecommunications, UNSW, Australia and Data61 (CSIRO), Australia under the supervision of Dr. Aruna Seneviratne in usable security in 2018.
His primary research interests are in embedded machine learning (TinyML), machine learning for health, and mobile/ubiquitous computing systems using commodity sensing (mainly acoustics/AR/VR) for healthcare.
Current Work:
- Building efficient and scalable audio/acoustics-based techniques for pulmonary health and cancer,
- Designing machine learning solutions for effective predictive outcomes in urology, colorectal surgery, and Inflammatory Bowel Diseases (big data and genomics).
Research interests:
- Digital healthcare
- Embedded AI
- Sensing
PhD at the School of Electrical Engineering and Telecommunications, UNSW, Australia and Data61 (CSIRO) in 2018.