Muhammad Adnan

The University of British Columbia

4025 Fred Kaiser, UBC

I am a Ph.D. student at The University of British Columbia (UBC) advised by Prof. Prashant Nair. My research surrounds optimizing Recommender Systems, which spans the areas of System Optimizations and Hardware Acceleration.

I received my Master of Applied Science (M.A.Sc.) from ECE, UBC advised by Prof. Prashant Nair.


Jul 7, 2022 I received VLDB Endowment Travel SPEND Award for attending VLDB 2022 conference.
Oct 22, 2021 I completed my M.A.Sc. in Electrical and Computer Engineering from UBC.
Aug 15, 2021 Our paper “Accelerating Recommendation System Training by Leveraging Popular Choices” got accepted into VLDB 2022.

selected publications

  1. High-Performance Training by Exploiting Hot-Embeddings in Recommendation Systems
    Muhammad Adnan, Yassaman Maboud, Divya Mahajan, and Prashant J. Nair
    In Proceedings of the 48th International Conference on Very Large Data Bases (VLDB) 2021