Ph.D. Candidate | Wearable Health Intelligence | On-device Machine Learning
Google Scholar LinkedIn View Resume Download Resume EmailI am a Ph.D. candidate in Computer and Information Sciences at the University of Delaware. My research focuses on wearable sensing, activity recognition, on-device machine learning, and context-aware health interventions. I make watchOS applications. I am actively looking for full-time jobs now. I do not need sponsorships now or in future.
My work develops smartwatch-based systems that use Apple Watch sensor data to distinguish sitting, standing, and walking in real time. I focus on personalized, on-device models for improving just-in-time adaptive health interventions.
Personalized machine learning framework for distinguishing sitting, idle standing, and walking using smartwatch sensor data.
On-device ML Posture Detection Activity RecognitionJust-in-time adaptive intervention framework that uses contextual signals to improve the timing and relevance of health prompts.
JITAI Decision Trees Health InterventionsData analysis pipeline for studying sitting bouts, walking bouts, nudge outcomes, and behavioral responses from wearable sensor data.
Python Data Analysis Behavior Modeling1st Annual Delaware EPSCoR and INBRE Statewide Conference.
Poster Award ResearchSociety of Behavioral Medicine 45th Annual Meeting and Scientific Sessions, Philadelphia, PA.
SBM 2024 ConferenceConducted a workshop as an expert panel member in Fort Collins, CO.
SHIFT WorkshopEmail: rtanvir@udel.edu