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Bhawana Chhaglani

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Bhawana Chhaglani

CS PhD Candidate at UMass Amherst

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

I am on the job market for tenure-track faculty positions in CS/ECE/IS starting in Fall 2026! Please feel free to reach out if you know any suitable openings.

Research Statement  Teaching and Mentoring Statement

I am a final 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 lies at the intersection of ubiquitous computing, mobile sensing, human-centered computing, cyber-physical systems, and responsible AI.  My work advances intelligent sensing and AI-driven systems for responsible, human-centric, and holistic health sensing. 

My vision is to transform everyday devices such as wearables, smartphones, and smart assistants into reliable and responsible environment and human health monitors. During my PhD, I have worked on using ambient acoustic signals for healthy indoor spaces, designing privacy-aware sensing and computing pipelines, and advancing collaborative wearable health sensing. Methologically, my work integrates signal processing, edge AI/ML, and privacy analysis with real-world system prototyping, and validation, resulting in solutions that are scientifically novel, ethical, and practically deployable. 

My research has appeared in premier venues such as IMWUT/UbiComp, SenSys, BuildSys, HotMobile, EMBC, BSN, and IROS, and has been recognized with the ACM MobiSys Rising Star Award (2025), ML & Systems Rising Star (2024), CPS-IoT Week PhD Forum Best Poster (2025), IEEE SPS Scholarship (2023), and N2Women Young Researcher Fellowship (2025). I have also collaborated with Nokia Bell Labs, Samsung Research, Dolby Laboratories, Meta Reality Labs, and CMU to translate these ideas into deployable systems. 

See Publications 

What's New?

  • January 2026: My internship work ArtiFree  got accepted at ICASSP 2026! See you in Barcelona.

  • November 2025: Presented my thesis work at SANE 2025 at Google NY!

  • October 2025: Guest lecture in Intelligent Mobile Systems course at Rice University.

  • June 2025: I am co-organizing EvalComp @UbiComp and S3 workshop @MobiCom. Consider submitting you work! 

  • May 2025: Started interning @Meta Reality Labs, Burlingame, CA (XR Sonic team)

  • May 2025: My thesis is accepted to be presented at MobiSys Rising Stars forum 2025. See you in Anaheim!

  • May 2025: Awarded the N2Women Young Researcher Fellowship and Best Poster Award @CPS-IoT week 2025 PhD Forum!

  • May 2025: Invited talk @UCSD [talk]

  • April 2025: I will be presenting my poster, vision paper, and PhD forum presentation in SenSys. See you in Irvine! I am also organizing the N2Women panel discussion. Please sign up!

  • February 2025: Serving as TPC for SenSys posters

  • February 2025: Successfully passed my thesis proposal! [Slides]

  • September 2024: Student Volunteer @UbiComp 2024 and presented my work AeroSense @UbiComp 2024

  • September 2024: Serving as a mentor in ML4H

  • August 2024: Our work on privacy-aware EEG-based seizure detection is accepted at IEEE BSN 2024 [Best poster candidate]

  • June 2024: Adaptive Sampling work accepted at IEEE IROS 2024

  • May 2024: Started my research internship at Dolby Laboratories in SF, ATG group

  • May 2024:  Selected as a Machine Learning and Systems Rising Star 2024

  • April 2024: My internship work at Samsung Research, Cough-DL is accepted to IEEE EMBC 2024

  • April 2024: AeroSense accepted at IMWUT 2024. 

  • April 2024: Awarded the inaugural Health Tech for the People Ethics Fellowship 2024

  • March 2024: Paper accepted at HotEthics 2024 Co-located with ASPLOS 2024

  • December 2023:  Passed my portfolio – officially a Ph.D. candidate now!

  • September 2023: Received IEEE Signal Processing Society Scholarship 2023

  • May 2023: Started my internship at Samsung Research America with Digital Health Lab

  • May 2023: BreathEasy got accepted in EnvSys workshop, colocated with MobiSys 2023

  • February 2023: ACM HotMobile 2023 student travel award

  • December 2022: My Bell Labs internship work Cocoon got accepted in HotMobile 2023

  • November 2022: Serving as a Student Volunteer in SenSys 2022

  • September 2022: Presented FlowSense in UbiComp'22

  • June 2022: I am invited to serve as the Shadow PC on SenSys '22.

  • March 2022: This summer, I will be working as a Research Intern at Nokia Bell Labs, Cambridge, UK.

  • January 2022: FlowSense got accepted at IMWUT 2022

  • December 2021: Received N2Women Travel Grant to attend MobiCom 2021 

  • November 2021: FLAIR received best paper runner-up award at ACM BuildSys 2021

  • September 2021: Received Student grant to attend UbiComp 2021

  • September 2021: My work at MSR got accepted in BuildSys 2021 

  • July 2021: Received Virtual Grace Hopper Celebration 2021 scholarship

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

  • June 2021: Awarded the ACM SIGMOBILE Conference Grant to attend ACM MobiSys 2021

  • June 2021: Camera Communication meets Drone-based Sensing  paper accepted at Internet of Lights Workshop colocated with MobiSys'21

  • May 2021: Received the 2021 David W. Stemple Scholarship for Systems Research from CICS, UMass Amherst

  • March 2021: I will be attending 2021 CRA-WP Grad Cohort for Women on April 23 and 24

  • December 2020:  Our team has acclaimed third place in Stage 1 of VTS Drone Competition.

  • September 2020: Presented paper at “Light Up the IoT” - Workshop Co-located with ACM MobiCom 2020 

  • August 2020: Started PhD at UMass Amherst remotely

  • July 2020: "Evaluating LED-Camera Communication for Drones" accepted in “Light Up the IoT” - Workshop Co-located with ACM MobiCom 2020 

  • May 2020: "Gauntlet" accepted in ACM WearSys'20 (Mobisys), Toronto, Canada

  • April 2020: Selected as ACM SIGBED Scholar 2020

  • November 2019: Started working as a research intern at IIIT Delhi with Dr. P.B. Sujit. 

  • October 2019: Secured Second position in ACM Student Research Competition held at ESWEEK 2019 (NYU)

  • June 2019:  Started research internship at Microsoft Research Lab India, under guidance of Dr. Venkat Padmanabhan and Dr. Srinivasan Iyengar. 


Research Experience

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

Designing privacy-aware ubiquitous sensing systems for healthier indoor environments.  ACM IMWUT/UbiComp'22, ACM EnvSys '23, ACM IMWUT/UbiComp'24, HotEthics'24

ML and Systems Rising Star 2024, CPS-IoT Week 2025 Best PhD forum award,  MobiSys Rising Star 2025

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

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).  

  • Research Intern in Meta Reality Labs, Burlingame (May 2025 - October 2025)

Detecting and reducing generative artifacts in diffusion-based speech enhancement (under review at ICASSP 2026)

Advised by: Yang Gao, Traun Pruthi 

  • Research Intern in Dolby Laboratories, SF (May 2024 - August 2024)

Preventing tech neck using hearables

Advised by : Alan Seefeldt

  • Research Intern in Samsung Research America, Mountain View, CA, USA  (June 2023 - September 2023)

Worked on health sensing using hearables (IEEE EMBC 2024)

Advised by : Ebrahim Nemati and Jilong Kuang

  • Research Intern in Nokia Bell Labs, Cambridge , UK  (June 2022 - September 2022)

Worked on on-body microphone collaboration for ambient intelligence (ACM HotMobile 2023)

Advised by : Utku Acer,  Chulhong Min , Spencer Jang, and Fahim Kawsar

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

  Worked on exploring and mapping an area using efficient adaptive sampling algorithms.  IROS Paper Link

       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 (ACM BuildSys 2021 best paper runner-up)

        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. LIoT'22 Paper Link

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


  • CS677 Distributed and Operating Systems, Spring 2025 

Instructor: Prof. Prashant Shenoy 

  • CS677 Distributed and Operating Systems, Fall 2024 

Instructor: Prof. Peter Klemperer

  • CS328 Mobile and Ubiquitous Computings, Spring 2024

Instructor: Prof. VP Nguyen

  • CS328 Mobile Health Sensing and Analytics, Fall 2023

Instructor: Prof. Deepak Ganesan

  • INFO 190S Introduction to Programming, Fall 2022

Instructor: Tim Richards

  • 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

  • Co-organizing S3 @MobiCom 2025

  • Co-organizing EvalComp and WellComp @UbiComp'25

  • Reviewer @ICMI 2025, UbiComp/ISWC 2025

  • TPC @ SenSys 2025 Posters

  • Reviewer HRI 2025, IMX 2025

  • Reviewer @ CHI 2025 papers, CHI 2025 Late breaking work

  • Student Volunteer UbiComp 2024

  •  Mentor in ML4H 2024

  • Reviewer  UbiComp/ISWC (2022, 2024) 

  • Mentored in Undergraduate Research Volunteer Program at UMass Amherst (Dec. 2023–Jan. 2024)

  • Served as Student Volunteer for IEEE BSN 2023 (Oct. 2023)

  • Served as a Student Volunteer for ACM SenSys 2022   (Nov. 2022)

  • Social Media Chair of IEEE Pervasive  (July 2022 – Present)

  • PhD Co-chair of GradCSWomen at UMass Amherst (Aug.2021–Dec. 2022)

  • Serving as Shadow Program Committee member in ACM SenSys(July 2022–Oct. 2022)

  • 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 CPS-IoT week PhD forum Best Poster Award 

  • Awarded the N2Women Young Researcher Fellowship for SenSys 2025 

  • Selected as a Machine Learning and Systems Rising Star 2024

  • Awarded the inaugural Health Tech for the People Ethics Fellowship 2024

  • Received IEEE Signal Processing Society Scholarship 2023

  • ACM HotMobile 2023 student travel award

  • 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

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