I am an Electrical and Computer Engineering Ph.D. student at Cornell University based on the Cornell Tech campus in New York City. I am a researcher in the Computer Systems Laboratory, where I am fortunate to be advised by Udit Gupta and Ed Suh. Before Cornell, I earned a B.S. in Computer Engineering from Northeastern University, where I was advised by David Kaeli at the NUCAR Laboratory.
I am currently interested in building flexible, adaptive systems and software stacks that are resilient to the dynamic and heterogeneous nature of computing ecosystems and workloads today. I am also interested in finding creative hardware–software co-design solutions that better align the capabilities of underlying hardware with modern computing paradigms.
While I am interested broadly in all research within Computer Architecture, Computer Systems, Machine Learning, and Security & Privacy, I am currently particularly fascinated by interconnect and chiplet technologies, as well as energy-efficient computing.
Recent News
- SEP 2026 Congrats Umar on OASIS: Cost-Efficient Private Similarity Search via CPU-GPU Confidential Computing being accepted at S&P 2027!
- MAY 2026 Gave a Talk on some of our work on Agentic Systems at North East AI Agents Day!
- APR 2026 Honored to be selected as a 2026 ML and Systems Rising Star!
- JAN 2026 Excited to announce I'll be interning at AMD Research in San Jose this summer as a Research Associate!
- MAY 2025 Gave a Talk on Hermes at the annual CSL Retreat!
- MAR 2025 Hermes: Algorithm-System Co-design for Efficient Retrieval Augmented Generation at Scale accepted for publication at ISCA 2025!
- JAN 2025 GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption selected as a Top Pick in Hardware and Embedded Security!
- DEC 2024 New preprint: Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference now available on arXiv.
- AUG 2023 Joined the Cornell Computer Systems Laboratory as a Ph.D. student!