Bio

Gal Mendelson began as an assistant professor in the Edward P. Fitts Department of Industrial and Systems Engineering at NC State University in 2025. Before this role, he worked as an assistant professor in the Faculty of Data and Decision Sciences at the Technion – Israel Institute of Technology from 2023 to 2025. His research focuses on the intersection of applied probability, data science, and operations research. In particular, he studies how to improve resource use and manage complex systems more effectively.

He earned his Ph.D. in electrical engineering from the Technion in 2020. Afterward, he completed a postdoctoral fellowship at the Stanford Graduate School of Business in 2022. Furthermore, he gained industry experience at IBM Research from 2017 to 2018. Later, he worked at NVIDIA from 2020 to 2021, where he tackled new scalability challenges in data centers.

Research Interests

Area(s) of Expertise

Mendelson’s research includes several areas of focus. He advances operations research to optimize decision-making in complex environments. In addition, he applies stochastic modeling and analysis to address uncertainty in systems. He also studies efficient and sustainable energy usage, with an emphasis on reducing waste. Finally, he explores data center microgrids that support AI workloads, aiming to improve energy and scalability.