- Soundarya Ramesh*, Chitralekha Gupta*, Praveen Sasikumar, Kian Peen Yeo, Suranga Nanayakkara.
DroneAudioset: An Audio Dataset for Drone-based Search and Rescue. (NeurIPS Datasets and Benchmarks Track 2025)
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Soundarya Ramesh, Takahiro Masuda, Hyung Woon Lee, Yongquan Hu, Suranga Nanayakkara.
Don’t Sleep on Sleep Data: Influence of Sleep Physiology on Stress Detection. (NeurIPS Time Series for Health Workshop 2025)
- Kanav Sabharwal, Soundarya Ramesh, Jingxian Wang, Dinil Divakaran and Mun Choon Chan.
Enhancing LoRa reception with generative models: Channel-aware denoising of LoraPHY signals. (ACM SenSys 2024)
- Rui Xiao, Tianyu Li, Soundarya Ramesh, Jun Han, and Jinsong Han.
MagTracer: Detecting GPU Cryptojacking Attacks via Magnetic Leakage Signals (ACM MobiCom 2023)
- Jonghyuk Yun*, Gyuyeon Kim*, Soundarya Ramesh, and Jun Han.
RampScope: Ramp-level Localization of Shared Mobility Devices using Sidewalk Ramps (ACM HotMobile 2023)
- Soundarya Ramesh, Ghozali Hadi, Sihun Yang, Mun Choon Chan, and Jun Han. TickTock: Detecting Microphone Status in Laptops Leveraging Electromagnetic Leakage of Clock Signals (ACM CCS 2022)
- Soundarya Ramesh, Rui Xiao, Anindya Maiti, Jong Taek Lee, Harini Ramprasad, Ananda Kumar, Murtuza Jadliwala and Jun Han. Acoustics to the Rescue: Physical Key Inference Attack Revisited (USENIX Security 2021)
- Soundarya Ramesh, Harini Ramprasad and Jun Han. Listen to Your Key: Towards Acoustics-based Physical Key Inference (HotMobile 2020)
*Our work got featured in ACM News,
Forbes, Schneier’s Blog, Hacker News, Slashdot, Mashable and many more.*
- Soundarya Ramesh, Thomas Pathier and Jun Han. SoundUAV: Towards Delivery Drone Authentication via Acoustic Noise Fingerprinting (DroNet 2019)
*Won best poster runner-up award at MobiSys’19*
- Shiqi Shen, Shweta Shinde, Soundarya Ramesh, Prateek Saxena and Abhik Roychoudhury. Neuro-Symbolic Execution: Augmenting Symbolic Execution with Neural Constraints (NDSS 2019)
