Teaching & Service

Talks & Presentations

"MonoSparse-CAM: Efficient Tree Model Processing via Monotonicity and Sparsity in CAMs."
IEEE International Symposium on Circuits and Systems (ISCAS), 2025.
"Efficient Neuro-Symbolic Policy using In-Memory Computing."
International Conference on Neuro-Symbolic Systems, 2025.
"Energy and Cost Considerations for GPU Accelerated AI Inference Workloads."
IEEE MIT Undergraduate Research Technology Conference (URTC), 2021.
"WiFiMon: A Mobility Analytics Platform for Building Occupancy Monitoring and Contact Tracing Using WiFi Sensing."
ACM Conference on Embedded Networked Sensor Systems (SenSys), 2020.

Nature Computational Science (2026 – present)
Scientific Reports (2026 – present)
IEEE Design & Test (2025 – present)
Springer Nature (multiple journals): International Journal of Machine Learning and Cybernetics, AI and Ethics, Discover Artificial Intelligence, Archives of Computational Methods in Engineering (2025 – present)

Undergraduate students mentored:

Arham Banhsali (Fall 2025), Duke ECE & Physics, Neuromorphic & In-Memory Computing
Alex Chindris (Fall 2025), Duke ECE, Neuromorphic Computing
Samir Travers (Spring 2025), Duke ECE, DNA Classification
Sandith Ganhewage (Spring 2025), Duke CS, Knowledge Distillation

Teaching Assistant, ECE 529: Digital Integrated Circuits
Instructor: Dr. Hisham Massoud
Duke University, Spring 2025

Fall 2022 Rising Researcher, one of eight students honored for excellence in research or scholarship (Dec 2022)
Best Poster Award, awarded by ACM for best COVID-19 response research (Oct 2020)
Dean's List, awarded for achieving a GPA of 3.5 or better, every semester at UMass Amherst