Muhammad Husnain Mubarik

Muhammad Husnain Mubarik

PhD-ECE-UIUC

Short Bio

Husnain Mubarik is a Senior Member of Technical Staff in the Advanced Rendering Research group at AMD, specializing in Graphics and ML. His expertise involves hardware acceleration for neural graphics and generative AI applications. During his Ph.D., Husnain closely worked with research teams from Intel Labs as a research intern. His work has earned IEEE Micro Top Picks - Honorable Mentions and inclusion in ISCA’s 50-year retrospective. He was named a Rising Star in Machine Learning and Systems in 2023 and has received the prestigious Dan Vivoli Endowed Fellowship. Husnain holds a Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign, where he completed his dissertation under the guidance of Prof. Rakesh Kumar, focusing on performance optimizations in neural graphics and emerging hardware systems. Before joining UIUC as a Ph.D. candidate, Husnain completed his bachelor’s in Electrical Engineering from National University of Sciences and Technology (NUST), Pakistan.

News

  • New: [May 2024] I successfully defended my Ph.D. thesis titled “Hardware Acceleration of Neural Graphics” on May 6th, 2024.
  • [March 2024] Selected to receive the Dan Vivoli Endowed Fellowship for the 2024-2025 academic year Link.
  • [February 2024] Space Microdatacenters paper (MICRO 2023) is selected as IEEE Micro Top Picks - Honorable Mention 2024.
  • [July 2023] Our paper titled Space Microdatacenters has been accepted at MICRO-56th, 2023.
  • [July 2023] The two-page retrospective that we composed for our paper on “Printed Microprocessors” for the ISCA-50th 25-year (1996-2020) retrospective is now accessible online at isca-retrospective.
  • [June 2023] Presented “Hardware Acceleration of Neural Graphics” paper at ISCA-50th, 2023 SLIDES, Lightning-talk.
  • [May 2023] Selected for the retrospective of the years 1996 through 2020 on the 50th anniversary of ISCA for our paper “Printed Microprocessors” (ISCA-47th, 2020).
  • [May 2023] Selected as Machine Learning and Systems Rising Star - Harvard, Google, Nvidia and MLCommons.
  • [May 2023] The preprint of our paper titled Understanding Interactions Between Chip Architecture and Uncertainties in Semiconductor Supply and Demand is now available at arXiv.
  • [May 2023] I’ve joined the Graphics Research Organization (GRO) at Intel GRO-Intel-Husnain as a Full-time Graduate Research Intern.
  • [May 2023] Gave a talk on “Neural Graphics: An Architecture’s Perspective” at ECE498SJP: Accelerator Architectures class at UIUC. Slides.
  • [April 2023] The camera ready version of our Hardware Acceleration of Neural Graphics paper is available at NG_camera_ready.
  • [Mar 2023] The preprint of our Hardware Acceleration of Neural Graphics paper is available at arXiv.
  • [Mar 2023] Our Hardware Acceleration of Neural Graphics paper got accepted at ISCA-50th, 2023.
  • [Oct 2022] Our Exploiting Short Application Lifetimes for Low Cost Hardware Encryption in Flexible Electronics paper got accepted at DATE 2023.
  • [March 2022] Our Rethinking Programmable Earable Processors paper got accepted at ISCA-49th, 2022.
  • [Dec 2021] I’ve joined the Cloud Systems Research Lab at Intel Labs as a Part-time Graduate Research Intern.
  • [May 2021] I’ve joined the Heterogeneous Platforms Labs at Intel Labs as a Graduate Research Intern.
  • [December 2020] Passed the PhD qualification exam (Computer architecture qual. - ECE UIUC).
  • [November 2020] Printed Machine Learning Classifiers paper selected as IEEE Micro Top Picks - Honorable Mention 2021.
  • [October 2020] Printed Machine Learning Classifiers paper presented at MICRO-53rd, 2020 VIDEO.
  • [July 2020] Our Printed Machine Learning Classifiers paper got accepted at MICRO 2020.
  • [March 2020] Our Printed Microprocessors paper got accepted at ISCA-47th, 2020.
  • [January 2019] Joined the PASSAT group at UIUC supervised by Dr. Rakesh Kumar.
  • [January 2019] Joined the Electrical and Computer Engineering Ph.D. program at UIUC.