Bhawana Chhaglani

CS PhD Student at UMass Amherst

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bchhaglani@cs.umass.edu | bchhaglani@umass.edu

I am a second year Computer Science PhD student 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 Mobile and Wearable Sensing and Systems, IoT and Ubiquitous Computing. I will be interning at Bell labs UK during summer 2022. Previously, I interned at Microsoft Research with Dr. Venkat Padmanabhan and Dr. Srinivasan Iyengar.

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Research Experience


  • Research Assistant in LASS lab, University of Massachusetts Amherst (CICS) (August 2020 - Present)

Working on novel sensing systems for measuring airflow and ensuring optimum air circulation in indoor environments.

Advised by : Prof. Prashant Shenoy and Prof. Jeremy Gummeson.


  • Research Intern at IIIT Delhi (November 2019 - April 2020)

Working on exploring and mapping an area using efficient adaptive sampling algorithms. Advised by Dr. P.B. Sujit.


  • Research Intern, Microsoft Research Lab India (June 2019-August 2019)

Worked on building an orchestration engine for surveying using multiple UAVs. Advised by Dr. Venkat Padmanabhan and Dr. Srinivasan Iyengar.


  • Project Intern at Aerogram, IIT Delhi (Dec 2018-Feb. 2019)

Worked on handling the server side of the network of air pollution monitoring sensor nodes. Advised by Dr. Sarita Ahlawat


  • Remote Research Intern, Georgia State University (October 2018-March 2019)

Evaluating LED-camera communication for drones. Advised by: Prof. Ashwin Ashok


  • Summer Research Intern at IIT Delhi (June 2018-Aug. 2018)

Worked on implementing MAC layer for Visible Light Communication using MATLAB. Advised by Dr. Brejesh Lall.


  • Trainee at Cyborgs Labs, Delhi (June 2017-Aug. 2017)

Summer Course on Embedded Systems and its Applications

Teaching Experience


  • CS328 Mobile Health Sensing and Analytics, Fall 2021

Instructor: Prof. Deepak Ganesan


  • CS121 Introduction to Problem Solving with Computers, Spring 2021

Instructor: Prof. Adam Kohan


Activities


  • Mentored in Undergraduate Research Volunteer Program at UMass Amherst (Jun. 2021–Jul. 2021)

  • ACM N2Women Membership Co-chair (Apr. 2021–Present)

  • Mentored in Undergraduate Research Volunteer Program at UMass Amherst (Dec. 2020–Jan. 2021)

  • Participated in PhD Applicant Support Program organized by CICS CARE, UMass Amherst (Nov. 2020–Dec. 2020)

Awards

  • Received N2Women Travel Grant to attend MobiCom 2021

  • Received best paper runner-up award at ACM BuildSys 2021

  • Received Grace Hopper Celebration 2021 Scholarship July 2021

  • Secured second place in Stage 2 of IEEE VTS Drone Competition. June 2021

  • Conference Grant ACM MobiSys 2021, ACM SIGMOBILE June 2021

  • Received David W. Stemple Scholarship for Systems Research, UMass Amherst May 2021

  • Selected to attend the 2021 CRA-WP Grad Cohort workshop Apr. 2021

  • Third place in Stage 1 of IEEE VTS Drone Competition Dec. 2020

  • Selected as ACM SIGBED Scholar 2020 Apr. 2020

  • Second Position in ACM Student Research Competition Oct. 2019

  • 1st in eYantra - National Robotics Competition, IIT Bombay Apr. 2019

  • 1st in Smart India Hackathon 2019 Mar. 2019

  • Winner of Hack-A-BIT Oct. 2018

  • 2nd Runner-up in Smart India Hackathon 2018 Jun. 2018

  • Winner of EV Hackathon Apr. 2018

  • AIR 19 in IEEE Xtreme 11.0 Oct. 2017

Click here to see Awards

Selected Research Projects

FlowSense: Monitoring Airflow in Building Ventilation Systems Using Audio Sensing (Accepted at IMWUT 2022)


With the increasing risk of airborne transmission in pandemics, it is essential to know the air circulation in indoor environments from both user and building management perspective. The existing techniques to measure airflow are expensive and require making changes in the infrastructure. There is a need for a low-cost and non-intrusive sensing mechanism that measures the rate of airflow for the benefit of HVAC systems, facility managers, and building occupants themselves.

We hypothesize that the low frequency spectrum of audio signals captured from a microphone sensor can be used to distinguish the rate of airflow in an indoor environment. The larger goal of our work is to create an environmental health solution that can empower users with critical healthy air information to make better decisions of what buildings to enter while assisting the organization stakeholder to maintain standards.

Holistic Energy Awareness for Intelligent Drones

Holistic energy-aware multi-drone scheduling system that decreases the energy consumed by 21.14% and the mission times by 46.91% over state-of-the-art.

Paper accepted at ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys), 2021 (Best Paper Runner-Up)

Supervised By: Dr. Venkat Padmanabhan, Dr. Srinivasan Iyengar (Microsoft Research), TV Prabhakar (Indian Institute of Science, Bangalore )

[Github] [Video] [Paper]

IEEE VTS Drone Competition

Coordinating Localization Assistance between Unmanned Aerial Vehicles using WiFi and Camera Perception

Supervised By: Professor Ashwin Ashok, Georgia State University.

[Github] [Video] [Documentation]

Adaptive Sampling on the go for bathymetry mapping

Working on mapping an area using efficient adaptive sampling algorithms.

Supervised by: Dr. P.B. Sujit, IIIT Delhi

[Project Page] [Github] [See Project]

Visible Light Communication in Drones

Studying the performance of LED-camera communication for ground-drone communication under different mobile settings or trajectories of the drone.

Supervised by: Professor Ashwin Ashok, Georgia State University.

[See Publication] [slides] [video]

Pollinator Bee at IIT Bombay

This projects imitates the behaviour of pollinator bee. 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. Our team secured first position in the competition.

This project was developed as a part of eYRC 2018 competition at IIT Bombay.

[See Project] [ Project Video ] [ eYRC Video][ Interview]

GAUNTLET

A light and compact wearable for capturing precise finger and hand gestures - uses potentiometers placed at every joint of the hand and an IMU.

This project started in Hack-A-Bit 2018 and then taken forward. It secured second position at ACM Student Research Competition at ESWEEK'19 held at NYU. Later, It got accepted in ACM WearSys 2020 (Mobisys), Toronto, Canada

[See Abstract] [ See Publication][Presentation ]


Click here to see all All Projects