About Me

I am Harshvardhan Takawale, a final year computer science PhD candidate at the University of Maryland College Park working at iCoSMoS Lab with Prof. Nirupam Roy. My research envisions to enable advanced Acoustic and RF sensing and inference on wearable and low-power computing platforms embedded in everyday objects and environments. It aims to introduce new capabilities to these resource-constrained and intermittently-powered systems perceive advanced features for interactions through gestures, micro-motions, directions, and physical contexts for various environment sensing applications.

Recently, I interned at Dolby Laboratories, San Francisco, working on modelling car cabin acoustic frequency response fields with implicit neural representations. Previously, I interned at Nokia Bell Labs UK in the Pervasive Systems group on detecting auditory attention on earables. In the past, I have worked as a Lead Researcher at Silence Laboratories Singapore. I finished my B.E at BITS Pilani in August 2020.

Research interests: Spatial Acoustics, Physics-informed Machine Learning, Multimodal Imaging, RF Sensing, Ambient Computing, Ubiquitous Healthcare, Low-power Learning Systems

My CV can be found here.

Recent Updates

05-26 : I'll be returning to Dolby Laboratories, San Francisco as a Research Intern in Summer 2026.

05-26 : Selected for the Financial Aid Award and the Gold Reviewer Award at ICML 2026.

04-26 : Our paper "INFER: Learning Implicit Neural Frequency Response Fields for Confined Car Cabin" is accepted at ICML 2026.

03-26 : Selected as a Principal Investigator for the Seed Award Program by the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM).

12-25 : I cleared my PhD Preliminary Exam and am now a PhD Candidate!

02-26 : Selected for the NSF I-Corps program as Entrepreneurial Lead.

08-25 : Completed my Summer Research Internship at Dolby Laboratories, San Francisco, working on car cabin acoustic frequency response fields with implicit neural representations.

05-25 : I'll be joining Dolby Laboratories, San Francisco as a Research Intern in Summer 2025.

02-25 : Our paper "Towards Detecting Auditory Attention from in-Ear Muscle Contractions using Commodity Earbuds" is accepted at ICASSP 2025.

01-25 : I'll be serving as Web Chair at HumanSys 2025 workshop.

10-24 : Served as an External Reviewer for CHI 2025.

10-24 : I presented our UBICOMP 2024 paper "Scribe: Simultaneous Voice and Handwriting Interface" at Melbourne, Australia [Post] [Presentation]

09-24 : Submitted my Summer Internship Project "Towards Detecting Auditory Attention from in-Ear Muscle Contractions using Commodity Earbuds" at ICASSP 2025.

06-24 : I'll be serving as Publicity and Social Media Chair at HumanSys 2024 workshop co-located with SenSys 2024.

05-24 : I'll be joining Nokia Bell Labs, Cambridge as a Reseach Intern in Summer 2024.

04-24 : I presented our ICASSP 2024 paper "Learning Speaker-Listener Mutual Head Orientation by Leveraging HRTF and Voice Directivity on Headphones" at Seoul, Korea [Post]

10-23 : Our paper "Learning Speaker-Listener Mutual Head Orientation by Leveraging HRTF and Voice Directivity on Headphones" is accepted at ICASSP 2024.

10-23 : Our paper "Scribe: Simultaneous Voice and Handwriting Interface" is accepted at IMWUT 2024.

04-23 : I served on the Artifact Evaluation committee of ACM MobiSys 2023.

04-23 : Our paper "Structure Assisted Spectrum Sensing for Low-power Acoustic Event Detection" is accepted at IASA CPS IoT Week 2023.

03-23 : Received Dean's Fellowship at UMD Computer Science

02-23 : Our poster "Natural Voice Interface for the Next Generation of Smart Spaces" is accepted at ACM HotMobile 2022.

03-22 : I served on the Replicability committee of WiSec 2022.

03-22 : Received Dean's Fellowship at UMD Computer Science

03-22 : I'll be joining Prof. Nirupam Roy at University of Maryland Computer Science (UMDCS) as a Ph.D student in Fall 2022.

12-21 : Our paper "A Seamless Second-Factor Verification as a Mobility-Service for Future Commute Stations" is accepted at ACM HotMobile 2022