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
Full paper accepted at PerCom 2026 Main Track!
Invited to present a talk on BiteSense at ARCS 2026, 11th Feb 2026, IIT Hyderabad, India!
Full paper accepted at COMSNETS 2026 Main Track!
Full paper acceptance at SenSys 2026!
In June 2025, I was selected from among global applicants to receive OmniBuds, a cutting-edge earable platform with integrated biosensors and on-device machine learning.
ACM/IARCS Travel Grant Awardee for PerCom 2025!
IEEE CS TCCC and TCPP STG Travel Grant Awardee for PerCom 2025!
LRN Foundation Travel Grant Awardee for PerCom 2025!
Full paper publication at PerCom 2025! along with 1 WiP and 1 Artefact!
TPC Member of COMSNETS Poster Session.
3 papers got accepted to IEEE ICDM and ACM CODS-COMAD (IKDD), COMSNETS 2024.
Rank 4, Green Fintech Hackathon, IITJ with the Reserve Bank Innovation Hub (RBIH) (2024)
Selected as a Social Media Chair for COMSNETS 2025!
Garvit received the Prime Minister Research Fellowship.
Garvit was a finalist in the Stanford EPIC Data Challenge, USA, Top 5 out of 61, 2023.
Finalist | IEEE Smart Mobility Challenge, Saudi Arabia, Top 5 out of 175, Sole Rep. of India
Garvit received a Research Internship at MPSC Lab, UMBC, USA [6 Months, September 2023 - Feb 2024].
Garvit served as Web Chair at COMSNETS 2024.
Garvit received the TCS Fellowship.
[Publication] Garvit received an acceptance for a full paper at IEEE/ACM CHASE 2023!
Best Poster Award - Industry Day Poster Session | IIT Jodhpur
Garvit received a Travel Grant from COMSNETS to attend the 15th International Conference on COMmunication Systems & NETworkS from 3rd to 9th January 2023.
[Publication] Garvit presented one Poster and one Demo at COMSNETS 2023!
Garvit received outstanding TA Award.
Garvit received a Registration Grant to attend EarComp 2022 by Nokia Bell Labs.
[Publication] Garvit received a paper acceptance in EarComp 2022, Ubicomp/ISWC.
GATE'20, CAT'19 Qualified (Top 2 percentile rank in National Engineering and Aptitude Exams)
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]
Automated dietary monitoring is essential for gaining insights into eating behaviors, especially for managing chronic conditions such as obesity, diabetes, and hypercholesterolemia. Earable-based inertial sensing has been found promising for detecting chewing and eating activities; however, further insights like what, when, and how much is being eaten are crucial information for effective dietary assessment. Therefore, we propose BiteSense, an earable-based system that leverages inertial sensors (IMU) to monitor food intake and classify various food types. Using a hierarchical classification model, the system analyzes masticatory kinematics to detect food states, textures, nutritional value, and cooking methods, ultimately identifying specific foods consumed, as well as estimating food intake amount and meal type. A semi-controlled user study involving 38 participants from diverse backgrounds demonstrated the system's high accuracy, with an F1 score of 0.86 for detecting the masticatory process using a leave-one-subject-out (LOSO) approach, while exhibiting significant superiority over benchmark algorithms in extensive experiments by 8-12%.
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.
This paper presents a framework called enGauge that leverages ear-based inertial sensing to continuously monitor listener focus levels in online meetings and provide feedback to the speaker about audience engagement. This allows for the identification of the onset of several neurodevelopmental disorders, including attention deficit hyperactivity disorder (ADHD), and can help to improve the effectiveness of online meetings by allowing speakers to adjust their speaking pace and style based on audience engagement. We explore a contrastive learning-based approach coupled with a judicial selection of anchor events from the meeting contents to model the system. enGauge can detect patterns or shifts in behavior and focus levels of passive listeners to accurately identify changes in focus. Results from a user study with 38 participants showed an overall F1-score of 0.89 for detecting passive listeners’ focus levels. Our study suggests that ear-based inertial sensing has the potential to be a valuable tool for the early detection and monitoring of several neurodevelopmental disorders among individuals.
