Meshal Alharbi

I’m a PhD student in Electrical Engineering and Computer Science (EECS) at MIT. I am fortunate to be working in Professors Munther Dahleh’s and Gioele Zardini’s research groups at LIDS.
My research interests are at the intersection of statistical machine learning, optimization, and control. My current research focuses on developing and analyzing new data-efficient and robust reinforcement learning methods for online decision-making, motivated by applications in energy systems.
Previously, I was part of the Center for Complex Engineering Systems (CCES) at KACST and MIT, where I tackled research questions related to time series forecasting, anomaly detection, and robust application of reinforcement learning for economic dispatch. Beyond research outcomes, my work at CCES led to multiple successful collaborations with high-ranking public and private stakeholders.
Feel free to explore the Projects and Publications pages for more details.
How to pronounce my name? IPA: /miʃʕall/.