Garvit Chugh
PMRF Scholar, Dual PhD-MTech Scholar
UbiSys Research Group,
Dept of Computer Science and Engineering
Indian Institute of Technology Jodhpur, India
Dept of Computer Science and Engineering
Indian Institute of Technology Jodhpur, India
Email: chugh.2@iitj.ac.in
Education:
2020 - Ongoing:
Dual Ph.D. – M. Tech. (Computer Science and Engineering) from Indian Institute of Technology, Jodhpur, India
2016 - 2020:
B.Tech. (Computer Science and Engineering) from Guru Gobind Singh Indraprastha University, Delhi, India
Specialisation:
HCI (human-computer interaction), Health Sensing, Behavioural Analysis, Mobile and Pervasive Computing
Research Interests:
- Wearable Health Monitoring Systems
- Gesture-based Interaction
- Mobile Health (mHealth) Applications
- Human-Centered AI for Health
- Ubiquitous and Pervasive Healthcare Systems
- Behavioral Analysis for Health Interventions
- Accessibility in Mobile and Pervasive Health Computing
- Context-Aware Sensing Systems
Experience:
September 2023 – March 2024:
Visiting Researcher, University of Maryland, Baltimore County, USA
August 2020 – Present:
Teaching Assistant, Indian Institute of Technology, Jodhpur
January 2020 – July 2022:
Web Developer (Research), Futural Solutions, New Delhi, India
June 2019 – August 2019:
Android Developer (Internship), Airports Authority of India, New Delhi, India
BiteSense: Earable-Based Inertial Sensing for Eating Behaviour Assessment
Garvit Chugh, Indrajeet Ghosh, Suchetana Chakraborty and Sandip Chakraborty, "BiteSense: Earable-Based Inertial Sensing for Eating Behaviour Assessment", in the proc. of PerCom 2025 [Full Paper]
Exploring Earables to Monitor Temporal Lack of Focus during Online Meetings to Identify Onset of Neurological Disorders
Garvit Chugh, Suchetana Chakraborty, Ravi Bhandari and Sandip Chakraborty, "Exploring Earables to Monitor Temporal Lack of Focus during Online Meetings to Identify Onset of Neurological Disorders", in the proc. of IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) 2023, pp. 126--137, doi:10.1145/3580252.3586981.