Harshvardhan Takawale

PhD Candidate in Computer Science, University of Maryland, College Park

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iCoSMoS Lab

Brendan Iribe Center, Room 3245

University of Maryland, College Park

I am a fourth-year Computer Science PhD candidate at the University of Maryland, College Park, advised by Prof. Nirupam Roy in the iCoSMoS Lab.

My research builds physics-informed machine learning systems for spatial acoustics, RF sensing, and ambient computing — enabling rich perception and inference on wearable and low-power platforms embedded in everyday objects and environments. I am interested in how resource-constrained, intermittently-powered systems can perceive gestures, micro-motions, directions, and physical context for environment-sensing and ubiquitous-healthcare applications.

I have been fortunate to intern at Dolby Laboratories (San Francisco), where I worked on modelling car-cabin acoustic frequency-response fields with implicit neural representations, and at Nokia Bell Labs (Cambridge, UK) in the Pervasive Systems group on detecting auditory attention from in-ear muscle contractions on earables. Earlier, I was a Lead Researcher at Silence Laboratories (Singapore). I received my B.E. from BITS Pilani in 2020.

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

Feel free to reach out by email — I’m always happy to chat about research, collaborations, or internships.

news

May 15, 2026 I will be returning to Dolby Laboratories (San Francisco) as a Research Intern in Summer 2026.
May 01, 2026 Selected for the Financial Aid Award and the Gold Reviewer Award at ICML 2026.
Apr 01, 2026 Our paper INFER: Learning Implicit Neural Frequency Response Fields for Confined Car Cabin is accepted at ICML 2026! 🎉
Mar 01, 2026 Selected as a Principal Investigator for the Seed Award Program by the Artificial Intelligence Interdisciplinary Institute at Maryland (AIM).
Feb 01, 2026 Selected for the NSF I-Corps program as Entrepreneurial Lead.
Dec 15, 2025 I cleared my PhD Preliminary Exam and am now a PhD Candidate!

selected publications

  1. INFER: Learning Implicit Neural Frequency Response Fields for Confined Car Cabin
    Harshvardhan Takawale, Nirupam Roy, and Phil Brown
    In International Conference on Machine Learning (ICML), 2026
  2. Towards Detecting Auditory Attention from in-Ear Muscle Contractions using Commodity Earbuds
    Harshvardhan Takawale, Yang Liu, Khaldoon Al-Naimi, and 2 more authors
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
  3. Learning Speaker-Listener Mutual Head Orientation by Leveraging HRTF and Voice Directivity on Headphones
    Harshvardhan Takawale and Nirupam Roy
    In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
  4. Scribe: Simultaneous Voice and Handwriting Interface
    Yang Bai, Irtaza Shahid, Harshvardhan Takawale, and 1 more author
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2024