Summary
Bhawana Chhaglani is a PhD candidate and research assistant at UMass Amherst specializing in privacy-aware ubiquitous sensing with eight years of research and engineering experience across academia and industry. Her thesis advances privacy-preserving audio and passive WiFi sensing for healthier indoor environments, building systems like FlowSense, AeroSense, FeatureSense and the ongoing CrowdSense project. She has interned at industry leaders including Meta, Dolby, Samsung Research America, and Nokia Bell Labs, applying audio and wearable sensing to problems from ventilation monitoring to hearable-based posture detection. Comfortable spanning ML, embedded sensing, and systems, she has published and deployed deep-learning and acoustic solutions (e.g., ear-worn cough detection) that bridge bench research and real-world instrumentation. Colleagues note her knack for turning noisy, privacy-sensitive signals into actionable indoor-health metrics—a theme that ties together her diverse internships and interdisciplinary collaborations.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Massachusetts Amherst
Bachelor of Technology Electrical Electronics and Communications Engineering, Bachelor of Technology Electrical Electronics and Communications Engineering at Guru Gobind Singh Indraprastha University
English, Hindi