Harshvardhan Takawale
PhD Candidate in Computer Science, 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. |
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| 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! |