Abdullah Muzahid

Abdullah Muzahid is an Associate Professor in the Department of Computer Science and Engineering at Texas A&M University (since August 2024), previously serving as an Assistant Professor there since August 2018. Prior, he held an Assistant Professor role at the University of Texas at San Antonio (2012-2018). He earned his Ph.D. from the University of Illinois at Urbana-Champaign (2012), focusing on architectural support for debugging concurrency bugs under Prof. Josep Torrellas.

Education:

• Ph.D., Computer Science, University of Illinois at Urbana-Champaign (2012)
• M.S., Computer Science, University of Illinois at Urbana-Champaign (2009)
• B.S., Computer Science and Engineering, Bangladesh University of Engineering and Technology (2005)

Research Interests: His work spans Computer Architecture, Systems, and Artificial Intelligence, with focus on multiprocessor architecture, parallel programming, debugging, and applying machine learning to system optimization. Recent projects include cache indexing via entropy estimation, DNN training acceleration, and hardware-software co-design for security.

Awards:

• NSF CAREER Award (2017)
• Excellence in Research Award (UTSA, 2015 & 2017)
• W. J. Poppelbaum Award (UIUC, 2012)
• Intel Ph.D. Fellowship (2011)

Grants & Advising: He leads NSF-funded projects on robust deep learning and stream processing systems. Advised 5 PhD graduates and currently mentors 4 PhD students. Served on program committees for ISCA, HPCA, MICRO, and as NSF panelist.

Labs/Teams: Active in Texas A&M’s Computer Architecture group, collaborating on machine programming, hardware security, and AI-driven systems optimization.