Activities

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)
Nature 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

(Coverage entries to be added — e.g. Duke ECE news features, HPE Labs blog posts, podcast appearances.)

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