resume
Third-year PhD student in edge AI and machine learning, building on-device speech systems that cut the energy and latency of AI models. This page is a short summary; download the full resume for details.
Download full resume (PDF)Research
-
2025 – Present Amherst, MA
Research Assistant
Laboratory for Advanced System Software, UMass Amherst - HyVox: hybrid neuromorphic–von Neumann speaker identification at 1.63 mJ per inference
- Neuromorphic on-device spoken language understanding, from speech to intent with 400 spiking neurons
- Energy-adaptive wearable intelligence on neuromorphic hardware (UbiComp 2027)
Publications
- HyVox: Rethinking Low-Power Voice Intelligence towards Neuromorphic-von Neumann Edge Computing (under submission)
Snehasis Addy, Eduardo Calle Ortiz, Prashant Shenoy, VP Nguyen - Always-On Wearable Intelligence Through Energy-Adaptive Neuromorphic Computing (to appear at UbiComp 2027)
Eduardo Calle Ortiz, Snehasis Addy, Hui Guan, Deepak Ganesan, VP Nguyen - Flexible Polar Encoding for Information Reconciliation in QKD (arXiv:2312.03100)
Snehasis Addy, Sabyasachi Dutta, Somnath Panja, Kunal Dey, Reihaneh Safavi-Naini, Daniel Oblak
Education
-
Expected 2028 Ph.D. in Computer Science
University of Massachusetts Amherst - Advisors: Prof. Prashant Shenoy, Prof. VP Nguyen
-
2024 M.S. in Physics
University of Calgary -
2021 B.Tech. in Electronics & Communication Engineering
IIT Dhanbad
Skills
| Research Areas | Edge AI, On-Device Machine Learning, Ubiquitous Computing, HCI, Human-Centered AI |
| Tools | PyTorch, TensorFlow, Python, C/C++, STM32 MCUs, neuromorphic chips |