Bhawana Chhaglani

Research Assistant @ University of Massachusetts Amherst

About

I am a fifth year Computer Science PhD candidate in the College of Information and Computer Sciences at University of Massachusetts Amherst. I work in the LASS lab with Prof. Prashant Shenoy and Prof. Jeremy Gummeson. My research interests lie broadly in the area of Audio Sensing, Wearable Health Sensing, Privacy-Aware Sensing, and Ubiquitous Computing. My thesis is on advancing privacy-aware ubiquitous sensing systems for healthier indoor environments. I have worked on audio-based non-intrusive ventilation monitoring (FlowSense), aerosol prediction from human activities (AeroSense), and privacy-aware feature-based audio sensing (FeatureSense). Currently, I am working on predicting crowded regions using passive WiFi sensing (CrowdSense).

Country

United States

City

Amherst

Industry

Higher Education

Skill

C++, C, Python, Atmel AVR, Arduino, Embedded Systems, SQL, Html/css, Machine Learning, Microsoft Office, Visible Light Communication(VLC), Matlab, Programming, Robotics, Communication, Image Processing, Research, Firebase, Python (Programming Language), C (Programming Language)

Experience

Research Assistant

University of Massachusetts Amherst

2020-8 - Present · 6 yrs 2 mos

Privacy-Aware Sensing Systems for Healthy Indoor Environments Exploring the feasibility of using acoustic sensing mechanisms to produce key parameters essential for airborne transmission risk assessment of occupants in indoor spaces. Advised by: Prashant Shenoy and Jeremy Gummeson

Research Scientist Intern

Research Intern

Dolby Laboratories

2024-5 - 2024-8 · 4 mos

San Francisco, California, United States

Working with Audio Research Lab (ATG) Mentor: Alan Seefeldt Preventing Tech Neck using Hearables-based Multimodal Sensing

Research Intern

Samsung Research America (SRA)

2023-5 - 2023-9 · 5 mos

Mountain View, California, United States

Working with Digital Health Lab Advised by: Ebrahim Nemati and Jilong Kuang Cough-DL: A deep learning model for ear-worn cough detection (IEEE EMBC 2024) Paper Link: https://ieeexplore.ieee.org/document/10782702/

Research Intern

Nokia Bell Labs

2022-6 - 2022-9 · 4 mos

Cambridge, England, United Kingdom

Worked on on-body microphone collaboration for ambient intelligence. Advised by : Utku Acer, Chulhong Min , Spencer Jang, and Fahim Kawsar

Teaching Assistant

Manning College of Information and Computer Sciences, UMass Amherst

2021-9 - 2021-12 · 4 mos

CS 328 Mobile Health Sensing Prof. Deepak Ganesan

Research Intern

Indraprastha Institute of Information Technology, Delhi

2019-11 - 2020-8 · 10 mos

Delhi, India

Advised by Prof. P.B. Sujit OAS-GPUCB: On-the-way Adaptive Sampling Using GPUCB for Bathymetry Mapping (IEEE IROS 2024) Link: https://iros2024-abudhabi.org/accepted-papers

Research Intern

Microsoft

2019-6 - 2019-8 · 3 mos

Lavelle Road, Banagalore

Worked on building an orchestration engine for surveying using multiple UAVs. (ACM BuildSys 2021) Advised by Dr. Venkat Padmanabhan and Dr. Srinivasan Iyengar. Paper: https://www.microsoft.com/en-us/research/uploads/prod/2022/01/3486611.3486651.pdf

First position at eYantra Robotics Competition 2018-19

Indian Institute of Technology, Bombay

2018-9 - 2019-4 · 8 mos

IIT Bomay

As the bee goes from flower to flower and pollinates them, here the drone(PlutoX) takes off from beehive, goes to each flower, pollinates them and lands back to the beehive. This includes Aerial Robotics, ROS, V-REP simulation, Control Systems and Image Processing.