Dr. Mansour Jonban - smart grid Award - Best Researcher Award
Universitat Politècnica de Catalunya - Spain
Author Profile
Early Academic Pursuits
Dr. Mansour Selseleh Jonban embarked on his academic journey with a strong foundation in Electrical Engineering from Azad University, Iran, where he obtained his Bachelor's degree with distinction. He continued his pursuit of knowledge by specializing in Mechatronic Engineering for his Master's degree, demonstrating his multidisciplinary approach to engineering. This was followed by his Ph.D. in Electronic Engineering at Universitat Politècnica de Catalunya (UPC), BarcelonaTech, Spain, where he delved deeper into the realms of energy management and control systems.
Professional Endeavors
Throughout his academic journey, Mansour Selseleh Jonban has been actively engaged in both research and practical implementations. He served as a Research Assistant at the Centre Tecnológic de Catalunya (eurecat) in Spain, where he contributed to the development of control structures for programmable power supplies and electronic loads. His role involved configuring, setting up, and remotely controlling these systems, showcasing his proficiency in experimental setups and real-time control mechanisms.
The Grid Innovator Prize celebrates pioneers in the field of smart grid technology, recognizing their groundbreaking contributions to energy efficiency, renewable energy integration, and grid modernization. This prestigious award honors individuals, organizations, and projects that have demonstrated exceptional innovation and leadership in harnessing the power of smart grid solutions.
Contributions and Research Focus On smart grid Award
Dr. Mansour's research primarily focuses on intelligent energy management systems, with a keen interest in renewable energy sources and microgrid technology. His Ph.D. thesis on "Intelligent Secondary Control for energy management in a Micro-grid by using Multi-Agent System" reflects his commitment to advancing the field of energy management through innovative approaches such as multi-agent systems and smart control algorithms. His publications in reputable journals and conferences attest to the significance of his contributions in this domain.
Accolades and Recognition
Dr. Mansour's academic excellence has been recognized with honors and awards throughout his career. He received the prestigious Excellent Cum Laude Honor for his Ph.D. dissertation at UPC, Barcelona, acknowledging the quality and impact of his research. Additionally, he was awarded full scholarships for his Ph.D. studies, further highlighting his academic prowess and dedication to his field. His membership in professional societies and his role as a reviewer for IEEE and Elsevier journals underscore his standing in the academic community.
Impact and Influence
Dr. Mansour's research and contributions have made a significant impact on the fields of energy management and control systems. His work on autonomous energy management systems for green buildings and fault-tolerant control structures for microgrids has the potential to revolutionize the way we utilize renewable energy sources and manage power distribution networks. By integrating advanced technologies such as artificial intelligence and multi-agent systems, Mansour is paving the way for more efficient and sustainable energy solutions.
Legacy and Future Contributions
As Mansour continues his academic and professional journey, his legacy lies in his groundbreaking research and innovative solutions to complex energy management challenges. Through his expertise in control systems, artificial intelligence, and renewable energy integration, he is shaping the future of sustainable energy systems. His ongoing commitment to excellence, coupled with his multidisciplinary approach, ensures that his contributions will continue to inspire advancements in the field for years to come.
Citations
- Citations 57
- h-index 4
- i10-index 3
Notable Publication
- Intelligent fault tolerant energy management system using first-price sealed-bid algorithm for microgrids Jonban, Grids and Networks, 2024
- Multi-agent-based Energy Management of multiple Grid-connected green buildings Journal of Building Engineering 2023
- Autonomous energy management system with self-healing capabilities for green buildings (microgrids) Journal of Building Engineering 2021
- A combined auction mechanism for online instant planning in multi-robot transportation problem Advances in robotics research 2018
- Neural network based identification of trichoderma species Neural Network World 2016