Dr. Dawei Qiu | Smart Grid | Best Researcher Award

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Dr. Dawei Qiu | Smart Grid | Best Researcher Award

Lecturer, University of Exeter, United Kingdom

Dr. Dawei Qiu is a distinguished scholar in smart energy systems, currently serving as a Lecturer at the University of Exeter, UK 🏫. With a strong background in electrical engineering and power systems, he specializes in AI-driven reinforcement learning, market design for low-carbon energy transition, and resilience enhancement of energy systems ⚡. His extensive research contributions in smart grids and power systems have earned him recognition in academia, with a Google Scholar citation count of 2,109, an h-index of 24, and an h10-index of 35 📊.

Publication Profile

Google Scholar

🎓 Education

Dr. Qiu holds a Ph.D. in Electrical Engineering from Imperial College London (2016–2020) 🎓, where he conducted pioneering research on local flexibility’s impact on electricity retailers under the supervision of Prof. Goran Strbac. Prior to this, he completed his M.Sc. in Power System Engineering from University College London (2014–2015) and obtained his B.Eng. in Electrical and Electronic Engineering from Northumbria University at Newcastle (2010–2014) ⚙️. His academic journey has been shaped by esteemed mentors, including Dr. Ben Hanson and Dr. Zhiwei (David) Gao, IEEE Fellow.

💼 Experience

Dr. Qiu’s professional career spans academia and research institutions, where he has contributed significantly to energy systems innovation 🌍. Before joining the University of Exeter in 2024, he was a Research Fellow at Imperial College London (2023–2024), specializing in market design for low-carbon energy systems. He also served as a Research Associate at the same institution from 2020 to 2023 🔬. His work in smart grids and energy resilience has been instrumental in shaping sustainable and intelligent power infrastructure.

🏆 Awards and Honors

Dr. Qiu’s research excellence has been acknowledged through various accolades 🏅. His contributions to smart energy systems, AI-driven reinforcement learning, and low-carbon market design have positioned him as a leading researcher in the field. His studies have been published in top-tier journals, and his work has received high citations, demonstrating its impact on the global research community 🌟.

🔬 Research Focus

Dr. Qiu’s research is centered on leveraging artificial intelligence and reinforcement learning for power and energy applications 🤖. His work explores market mechanisms for cost-effective and sustainable energy transitions, as well as the resilience enhancement of energy systems in response to climate change 🌍. His expertise in AI-driven optimization and machine learning applications in energy systems makes him a key contributor to the advancement of smart grid technologies.

🔚 Conclusion

Dr. Dawei Qiu is a leading researcher in smart energy systems, with a strong academic background and impactful contributions to power systems engineering 🔬. His expertise in AI-driven market optimization, reinforcement learning, and resilient energy systems has made him a valuable asset to the research community 🌍. With his ongoing work at the University of Exeter, he continues to drive innovation in low-carbon and intelligent energy solutions ⚡.

🔗 Publications

A knowledge-based safe reinforcement learning approach for real-time automatic control in a smart energy hub – Applied Energy (Under review, 2025) 🔗 Link

Enhanced Meta Reinforcement Learning for Resilient Transient Stabilization – IEEE Transactions on Power Systems (Under review, 2025) 🔗 Link

Machine learning-based economic model predictive control for energy hubs with variable energy efficiencies – Energy (First round revision, 2024) 🔗 Link

A Review of Resilience Enhancement Measures for Hydrogen-penetrated Multi-energy Systems – Proceedings of the IEEE (Under review, 2025) 🔗 Link

Coordinated Optimal Dispatch Based on Dynamic Feasible Operation Region Aggregation – IEEE Transactions on Smart Grid (First round revision, 2024) 🔗 Link

A Sequential Multi-Agent Reinforcement Learning Method for Coordinated Reconfiguration of Substation and MV Distribution Networks – IEEE Transactions on Power Systems (Under review, 2024) 🔗 Link

Enhancing Microgrid Resilience through a Two-Layer Control Framework for Electric Vehicle Integration and Communication Load Management – IEEE Internet of Things Journal (Under review, 2024) 🔗 Link

Coordinated Electric Vehicle Control in Microgrids Towards Multi-Service Provisions: A Transformer Learning-based Risk Management Strategy – Energy (Under review, 2024) 🔗 Link

Adaptive Resilient Control Against False Data Injection Attacks for a Multi-Energy Microgrid Using Deep Reinforcement Learning – IEEE Transactions on Network Science and Engineering (Under review, 2024) 🔗 Link

Jin Wang | Renewable Energy Technologies Award | Best Researcher Award

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Dr. Jin Wang | Renewable Energy Technologies Award | Best Researcher Award

Doctoral candidate, Taiyuan University of Technology, China

Jin Wang, a doctoral candidate at Taiyuan University of Technology, is a promising researcher in the field of electrical engineering. Born on June 1, 1996, Jin is a member of the Han nationality and is deeply focused on coastal renewable energy generation. He is working towards his Ph.D. in Electrical Engineering and has actively contributed to advancing knowledge in energy systems. With a strong academic foundation and hands-on research experience, Jin is making significant strides in his field. 🧑‍🎓⚡🌍

Publication Profile

ORCID

Education:

Jin Wang completed his undergraduate degree in Electrical Engineering at Taiyuan University of Technology in 2020. Following this, he embarked on his Ph.D. journey at the same university, with an expected completion date in 2025. His academic career is distinguished by a dedication to innovation and the pursuit of sustainable energy solutions. 🎓🔌

Experience:

Jin Wang has been involved in a variety of research projects at Taiyuan University of Technology, with a focus on energy systems for polar regions and coastal renewable energy generation. He has also gained practical experience by contributing to national and provincial-level projects, particularly on clean, low-carbon energy systems. 💼🌱

Awards and Honors:

Jin has received several certifications that highlight his commitment to excellence. These include his achievements in English proficiency (CET-6, CET-4), as well as certifications in hydrogen energy technology and industrial technology enhancement. 🏅🎖️

Research Focus:

Jin’s research primarily revolves around coastal renewable energy generation, with specific attention to energy systems in extreme environments, such as polar regions. His work includes projects on energy systems for coastal research stations, hybrid energy systems, and proton exchange membrane fuel cells (PEMFC) in standalone systems. 🔋🌊

Conclusion:

Jin Wang is a dedicated researcher with a clear focus on sustainable energy solutions for challenging environments. His academic background, along with his involvement in cutting-edge research projects, positions him to make significant contributions to the field of renewable energy. 🌍💡

Publications:

Application and effect analysis of renewable energy in a small standalone automatic observation system deployed in the polar regions – AIP Advances, 2022, Author ranking: 1

Improving Proton Exchange Membrane Fuel Cell Operational Reliability Through Cabin-Based Fuzzy Control in Coastal Standalone Observation Systems in Antarctica – Journal of Marine Science and Engineering, 2025, Author ranking: 1

A Multi-Objective Scheduling Strategy for a Hybrid Energy System for Antarctic Coastal Research Stations – Journal of Marine Science and Engineering, 2024, Author ranking: 3

Research on output voltage control of PEMFC based on fuzzy active disturbance rejection – Modern Electronic Technology, 2024, Author ranking: 3

Mojtaba Sedaghat | Energy Engineering | Young Scientist Award

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Mr. Mojtaba Sedaghat | Energy Engineering | Young Scientist Award

University of Guelph, Canada

🎓 Mojtaba Sedaghat is a dedicated researcher and academic with expertise in energy systems engineering and thermal sciences. A graduate of Shahid Beheshti University (SBU) and Iran University of Science and Technology (IUST), he has contributed significantly to energy conversion, renewable energy systems, and fluid dynamics. His innovative research includes improving heat transfer in enclosures and investigating the impact of phase change materials and solar panels on energy efficiency. Alongside academic excellence, Mojtaba has an impressive portfolio of patents, publications, and awards. Currently, he serves as a lecturer at Shomal University Amol (SUA) and continues advancing energy sustainability through research and teaching.

Publication Profile

Google Scholar

Education

🎓 Master of Energy Systems Engineering (2018-2021). Shahid Beheshti University, Tehran, Iran. Thesis: Feasibility of increasing heat transfer in underfloor heating using heaters and rotation. GPA: 17.89/20 (Ranked 2nd). Bachelor of Mechanical Engineering (2014-2018). Iran University of Science and Technology, Tehran, Iran. Thesis: Investigating microfluidic parameters for particle separation using dielectrophoresis

Experience

🛠️ Mojtaba has a blend of academic and industrial experience. As a research assistant at SBU, he worked on multiphase flow and heat transfer projects, including the design and manufacturing of UVC disinfection robots. He also taught courses such as Thermodynamics and Heat Transfer as a teaching assistant. In the industrial realm, he has consulted on energy research projects and contributed to innovative solutions for renewable energy and heat transfer technologies. Currently, he lectures at Shomal University Amol, sharing his knowledge and fostering the next generation of engineers.

Research Interests

🔬 Mojtaba’s research interests span energy conversion, renewable energy systems, and energy policy. He specializes in numerical and experimental studies of thermal-fluid systems, focusing on hydrogen production, energy storage, and PCM-based systems. His expertise includes CFD, AI-based energy simulations, and 4E analyses (Energy, Exergy, Economic, Environmental) for system optimization.

Awards

🏆 Mojtaba’s accolades include a national patent for innovative heat transfer mechanisms, ranking 2nd in Energy Systems Engineering at SBU, and receiving scholarships for his undergraduate and graduate programs. His team’s UVC disinfection robot earned bronze at the IFIA Contest in Turkey and was recognized as a top project in the 13th Movement student competition.

Publications

The Use of Phase Change Materials and PV Solar Panels in Higher Education Buildings Towards Energy Savings and Decarbonization: A Case Study
Published in: Buildings, Jun 2024
Cited by: Google Scholar

Effects of Covid-19 Disease on Electricity Consumption of Various Sectors in Iran
Published in: Case Studies in Chemical and Environmental Engineering, Dec 2023
Cited by: Google Scholar

Analysis of the Effect of Hot Rotation Cylinders on the Enhancement of Heat Transfer in Underfloor Heating Enclosures
Published in: International Journal of Thermal Sciences, Jun 2023
Cited by: Google Scholar

An Experimental/Numerical Investigation and Technical Analysis of Improving the Thermal Performance of an Enclosure by Employing Rotating Cylinders
Published in: International Communications in Heat and Mass Transfer, Nov 2022
Cited by: Google Scholar