Snehasis Addy

Ph.D. student in CS at University of Massachusetts-Amherst || Building next generation wearable technology.

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Lederle Graduate Research Center

740 N Pleasant St

Amherst, MA, 01003

Hi all! 👋 I’m Snehasis, a second-year PhD student at the University of Massachusetts-Amherst. I work in the Laboratory for Advanced System Software working with Prof. Prashant Shenoy and Prof. VP Nguyen. My interests broadly lie in the area of Embedded AI in Neuromorphic Wearable Systems, with a focus on applications such as Energy efficient sensing, Health Sensing, Internet of Things, and Ubiquitous Computing. My current research focuses on building energy-efficient, always-on smart wearable systems by combining neuromorphic sensing with LLM inference on low-power IoT devices.

As far as my background goes, I hold a thesis-based M.Sc. degree from the University of Calgary, where I studied coding theory and implemented new error-correction codes for Quantum Key Distribution (QKD), focusing particularly on polar codes (you can find my thesis here). Prior to that, I graduated from IIT Dhanbad in 2021, receiving a B.Tech. in ECE.

Beyond research, I enjoy playing racquet sports, primarily tennis and squash, and exploring the culinary art of Indian cuisine. Additionally, I’m an avid fan of winter sports, especially ice skating and the occasional skiing adventure.

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  1. Flexible polar encoding for information reconciliation in QKD
    Snehasis Addy, Sabyasachi Dutta, Somnath Panja, and 3 more authors
    arXiv preprint, 2023