معرفی
Dr. Shahab Shariat Torbaghan is a tenure-track Assistant Professor of Smart Grids in Urban Energy and Water Systems at Wageningen University & Research. His expertise spans mathematical models, operations research, decision support systems, optimization, stochastic processes, sustainable energy, green infrastructure, machine learning, and energy transition. He holds a B.Sc. in Electrical Engineering from the University of Tehran (2008), an M.Sc. from Chalmers University of Technology (2010), and a Ph.D. from Delft University of Technology (2015). He previously worked as a Postdoctoral Fellow at Eindhoven University of Technology (2015–2017) and as a Research Scientist at VITO/EnergyVille in Belgium (2017–2020).
His research focuses on applying sequential decision-making under uncertainty to water and energy infrastructure modeling and optimization, leveraging convex optimization, combinatorial optimization, and machine learning (deep learning, reinforcement learning). He collaborates with the City of Amsterdam, AMS Institute, water companies, and academic partners like HZ University of Applied Sciences and Utrecht University. He participates in European H2020 projects such as Magnitude, FHP, and Coordinate.
Dr. Torbaghan teaches courses including 'Sustainability Transitions,' 'Data-Driven Environmental Modelling and Optimization,' and 'Managing Urban Environmental Infrastructure.' His work intersects urban infrastructure transitions, energy storage arbitrage, hydrogen production, and market-based mechanisms for flexibility provision. He is a Senior Member of IEEE and part of INFORMS and the GO-P2P community.
