Meshal Alharbi
Meshal Alharbi is pursuing a PhD in Electrical Engineering and Computer Science (EECS) at MIT. Previously, He earned dual master’s degrees in Computational Science and Engineering (CSE) and EECS from MIT. Meshal’s research interests are at the intersection of statistical machine learning, optimization, and control. His current research focuses on developing and analyzing sample efficient reinforcement learning methods for control and decision-making, motivated by applications in energy systems.
Awards:
- Technology Leaders Program Fellowship, King Abdulaziz City for Science and Technology
- Valedictorian with First-Class Honors, King Saud University
- Excellence Award for Scientific Distinction, National Center for Assessment (Qiyas)