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 third-year PhD student at the University of Massachusetts Amherst, where I work in the Laboratory for Advanced System Software with Prof. Prashant Shenoy and Prof. VP Nguyen. My research is in Edge AI: I build next-generation edge systems that significantly reduce the energy consumption and latency of on-device intelligence. My work lies at the intersection of neuromorphic computing and traditional embedded systems, where I rethink how sensing, computation, and communication are designed so that wearables, IoT devices, and other ubiquitous computing platforms can run intelligent applications on-device and always-on. Check out our latest work here.

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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Latest posts

Selected publications

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