Senior Scientist and Lecturer (Oberingenieur)
Hamburg University of Technology (TUHH)
Institute of Electrical Power and Energy Technology (ieet)
Harburger Schloßstraße 22a,
21079 Hamburg E-mail: payam.baboli@tuhh.de
Building Palmspeicher, Room 2.001 Phone: +49 40 30601 3013
You can find me also on LinkedIn | ieet | Google Scholar | ORCID | Scopus | WebofScience
Full-version of my CV (in English): here
Dr.-Ing. Payam Teimourzadeh Baboli (S'08-M'15-SM'20) is a senior scientist and lecturer at the Institute for Electrical Power and Energy Technologies (IEET) at Hamburg University of Technology (TUHH). He obtained his B.Sc. degree in Electrical Engineering from the University of Mazandaran (UMZ), Babolsar, Iran in 2007, and completed his M.Sc. and Ph.D. in Electrical Engineering (Power Systems) at Tarbiat Modares University (TMU), Tehran, Iran in 2009 and 2014, respectively.
Dr. Baboli served as an assistant professor in electrical engineering at UMZ from February 2015 to July 2019. From August 2019 to December 2023, he held the position of Project Manager and Senior Researcher at the OFFIS - Institute for Information Technology, Oldenburg, Germany. Since January 2024, he joined the Hamburg University of Technology as a senior scientist and lecturer, contributing to the Institute for Electrical Power and Energy Technologies by advancing research and teaching in power systems, smart grids, renewable energy integration, and multi-energy systems.
Renewable Energy & Multi-Energy Systems
Designing and optimizing multi-energy systems with high shares of renewable sources, including PV, wind, and hybrid systems, integrated with energy storage and microgrids for flexible and resilient operation.
Power System Reliability, Flexibility & Dynamics
Analyzing grid stability, dynamics, and flexibility under extreme events, stochastic outages, and market fluctuations. Developing methods for reliable and resilient operation in complex energy networks.
Machine Learning & Explainable AI for Energy Systems
Leveraging machine learning, ensemble models, and XAI for fault detection, anomaly identification, and decision support in smart grids and renewable energy systems.
Energy Management, Demand Response & Electricity Markets
Developing optimization algorithms for energy management, demand response, and real-time dispatch, accounting for interactions with electricity markets and distributed energy resources.
Cyber-Physical Security & Control
Studying cyber-attack resilience, control strategies, and hierarchical control frameworks for secure, stable, and efficient operation of modern power systems.
