Neil Joshua Limbaga
Neil is a Ph.D candidate in Electrical and Computer Engineering at KAUST. He currently focuses on Computer Architecture, Embedded and Edge Computing in the applications of Cyber-Physical Systems and Artificial Intelligence. He has recently collaborated with McLaren Racing, in the United Kingdom, to help shape Human Performance with efficient AI-based algorithms.
Biography
Neil Joshua Limbaga received his bachelor’s degree with honors in Computer Engineering from Ateneo de Manila University, Philippines in 2023, and the master’s degree in Electrical and Computer Engineering in 2025 from King Abdullah University of Science and Technology, Saudi Arabia, where he is currently working toward the doctoral PhD degree in Electrical and Computer Engineering. He has experience both in academia, with publications involving areas in Brain-Computer Interfaces and Embedded AI Applications, and in industry having interned and collaborated for companies like McLaren Racing, Western Digital and Ateneo Innovation Center.
Research Interests
His research interests and areas of expertise involve Computer Architecture, Cyber-Physical Systems, Sensors and Embedded Systems, Artificial Intelligence, FPGA, and Software Engineering
Awards and Distinctions
- CEMSE Dean’s List for A.Y 2024 - 2025, KAUST, 2025
- CEMSE Dean’s List for A.Y 2023 - 2024, KAUST, 2024
Education
- Master of Science (M.S.)
- Electrical and Computer Engineering, King Abdullah University of Science and Technology, Saudi Arabia, 2025
- Bachelor of Science (B.S.)
- Computer Engineering, Ateneo de Manila University, Philippines, 2023
