Hossein Rouhani
Research Field
Dr. Seyed Hossein Rouhani is an Assistant Professor in the College of Electrical Engineering and Computer Science at the National Kaohsiung University of Science and Technology (NKUST) in Taiwan. He has authored over 30 publications in top-tier journals and conferences with a focus on smart power systems, microgrids, and cyber‑physical resilience in intelligent energy systems. His recent research includes advanced methods such as samrt control, AI/ML, Smart power system, renewbale energy, and cyber-resilient microgrid protection. Notably, in January–March 2025 he led high-impact studies on offshore wind‑powered DC microgrids, frequency control under electricity markets, and resilient protection strategies using transient kinetic energy methods.
Dr. Rouhani’s mentorship combines deep theoretical rigor with practical innovation. He guides students in developing resilient, market-aware, and cyber‑secure control systems for next-generation energy infrastructure. His approach emphasizes independent thinking, multidisciplinary collaboration, and real‑world impact—preparing mentees to excel in academia and industry alike.
Opal RT hardware in loop testing, SCADA system, Battery Testing system, laboratory small-scale AC/DC microgrid
Smart power systems
Microgrids
Cyber-physical resilience in intelligent energy systems
Smart control
AI/ML
Renewable energy
Best Paper Award from IEEE Transactions, First-Ranked Student, and Winner of several Best Oral and Poster Presentation Awards.
PhD in Power Systems Engineering from the University of Guilan, Iran.
Job Description
We are seeking a highly motivated and skilled Research Assistant to join our team for a pioneering project focused on enhancing the stability and efficiency of smart grids and hybrid energy systems. This project aims to tackle the challenges posed by high renewable energy penetration in distribution feeders by developing innovative energy aggregation management strategies. The successful candidate will have the opportunity to work on state-of-the-art topics such as smart grid integration, congestion alleviation, and power system optimization. You will be part of a multidisciplinary team working on advanced algorithms, real-time data analysis, and simulation tools to improve the resilience and stability of transmission systems, contributing to the transition to a more sustainable energy future.
Preferred Intern Education Level
PhD candidates or Master's students
Skill sets or Qualities
Educational Background: Master’s or PhD candidate (or equivalent experience) in Electrical Engineering, Power Systems, Renewable Energy, or related fields.
Technical Skills: Proficiency in simulation tools (MATLAB/Simulink, PSCAD, DIgSILENT, etc.), power system modeling, optimization techniques, and data analysis.
Knowledge of Smart Grids & Power Systems: Strong understanding of smart grids, microgrids, energy storage, renewable energy integration, and power system stability.
Research Experience: Previous research experience in power systems, renewable energy management, or smart grid technologies is highly desirable.
Programming Skills: Familiarity with programming languages such as Python, C++, or other relevant tools for energy systems modeling and analysis.
Communication Skills: Strong verbal and written communication skills in English, with the ability to present complex ideas clearly to both technical and non-technical audiences.
Teamwork & Collaboration: Ability to work effectively in a multidisciplinary research environment and collaborate with local and international partners.