Muhammad Adnan

The University of British Columbia

4025 Fred Kaiser, UBC

I am a Ph.D. student in the Electrical and Computer Engineering department at The University of British Columbia advised by Prof. Prashant Nair. My research interest centers at the intersection of architecture and systems, with a particular focus on addressing the challenges posed by large machine learning models including recommendation and large language models.

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


May 18, 2023 I was selected as Machine Learning and Systems Rising Star in the 2023 cohort by MLCommons.
Jan 26, 2023 We would be giving a tutorial on Training Big Sparse Recommendation Models on Commodity Servers at HPCA 2023.
Oct 18, 2022 I was awarded Graduate Student Initiative (GSI) award for 2022W term.
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 titled “Accelerating Recommendation System Training by Leveraging Popular Choices” has been accepted at 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