Joshua Bakita
Assistant Professor of Computer Science
Research Interests
Professor Bakita's research interests include GPU Scheduling, Real-Time Systems and Operating Systems. Professor Bakita’s research has had a significant impact on the real-time systems community. His GPU management libraries and tools have been downloaded over 24,000 times (as of Dec 2025), with adoption by institutions such as Carnegie Mellon University, Tsinghua University, Virginia Tech, National University of Singapore, TU Munich, and Alibaba, among many others. Email
Professor Bakita joined MBZUAI in 2025 after 11 years as a B.Sc., M.Sc., and Ph.D. student at the University of North Carolina at Chapel Hill, and has been doing research on GPUs since 2017. His work outside of academia has included Waymo, GM Research, Microsoft, and even a brief stint in the UK House of Commons. For his graduate students, he emphasizes not just research excellence, but an ability to connect the work to the common good and to communicate well—whether in the classroom, at a conference, or in a paper.
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Ph.D. in Computer Science from the University of North Carolina at Chapel Hill
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Master of Science in Computer Science from the University of North Carolina at Chapel Hill
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Bachelor of Science in Computer Science from the University of North Carolina at Chapel Hill
- Best Paper Award, Euromicro Conference for Real-Time Systems (ECRTS), 2025;
- Outstanding Paper Award, Real-Time and Embedded Technology and Applications Symposium (RTAS), 2023;
- Teaching Assistant of the Year, University of North Carolina at Chapel Hill, 2019
His current work continues to focus on improving the predictability and efficiency of GPU-based systems, with new efforts extending into consumer, cloud, and formally verified embedded systems.
Selected publications:
- J. Bakita and J. H. Anderson, "The Advantage of the GPU as a Real-Time AI Accelerator," Real-Time Systems (Journal), 2025.
- J. Bakita and J.H Anderson, "Hardware Compute Partitioning on NVIDIA GPUs," Proceedings of the 29th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), pp. 54-66, May 2023. Winner, outstanding paper award.
- J. Bakita, J. H. Anderson, "Enabling GPU Memory Oversubscription via Transparent Paging to an NVMe SSD," Proceedings of the 43rd Real-Time Systems Symposium (RTSS), pp. 370-382, Dec 2022.