Amirmohammad Behzadi | Energy | Best Researcher Award

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Dr. Amirmohammad Behzadi | Energy | Best Researcher Award

KTH Royal Institute of Technology | Sweden

Dr. Amirmohammad Behzadi is a researcher specializing in intelligent thermal energy systems, recognized for advancing AI-driven optimization, predictive control, reinforcement learning, and physics-informed digital-twin modeling for building and district-scale heating and cooling networks. He holds advanced degrees in mechanical engineering and fluid and climate theory with a focus on energy conversion and system optimization. His professional experience spans research roles in leading institutions, where he has developed model-based control frameworks, machine-learning-enabled optimization tools, and integrated thermal–power system models while contributing to major national and international projects on smart, low-carbon, and resilient energy systems. He has led multi-institutional collaborations, coordinated national participation in global research initiatives, supervised students across levels, and contributed extensively to proposal development and funding acquisition. His publication record includes numerous first-author articles in high-impact journals, influential book chapters, and methods that have shaped the design and control of next-generation thermal networks. His research achievements are evidenced by substantial citation metrics, widespread academic influence, and recognition among the world’s top researchers. He has received distinctions for research excellence and contributed to award-winning projects acknowledged by prominent scientific and engineering bodies. His active participation in international collaborations and professional organizations further highlights his leadership and dedication to advancing sustainable, data-driven, and climate-resilient energy solutions.

Profiles: Google Scholar | Scopus | ORCID

Featured Publications

1. Habibollahzade, A., Gholamian, E., Ahmadi, P., & Behzadi, A. (2018). Multi-criteria optimization of an integrated energy system with thermoelectric generator, parabolic trough solar collector and electrolysis for hydrogen production. International Journal of Hydrogen Energy.

2. Habibollahzade, A., Gholamian, E., & Behzadi, A. (2019). Multi-objective optimization and comparative performance analysis of hybrid biomass-based solid oxide fuel cell/solid oxide electrolyzer cell/gas turbine using different configurations. Applied Energy, 233, 985–1002.

3. Behzadi, A., Habibollahzade, A., Zare, V., & Ashjaee, M. (2019). Multi-objective optimization of a hybrid biomass-based SOFC/GT/double effect absorption chiller/RO desalination system with CO₂ recycle. Energy Conversion and Management, 181, 302–318.

4. Behzadi, A., Gholamian, E., Houshfar, E., & Habibollahzade, A. (2018). Multi-objective optimization and exergoeconomic analysis of waste heat recovery from Tehran’s waste-to-energy plant integrated with an ORC unit. Energy.

5. Habibollahzade, A., Gholamian, E., Houshfar, E., & Behzadi, A. (n.d.). Multi-objective optimization of biomass-based solid oxide fuel cell integrated with Stirling engine and electrolyzer. [Journal name not specified].

Dr. The nominee’s work advances intelligent, low-carbon thermal energy systems by integrating AI, data-driven optimization, and physics-informed modeling to create more efficient, resilient, and autonomous urban energy infrastructures. His contributions support global sustainability goals by enabling cleaner, smarter heating and cooling networks that reduce emissions and improve energy reliability. Through innovative research and international collaboration, he drives technological progress that benefits science, industry, and society.

Junhyuk Nam | Distributed Energy System | Best Researcher Award

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Mr. Junhyuk Nam | Distributed Energy System | Best Researcher Award

Junhyuk Nam | Soongsil University | South Korea

Mr. Junhyuk Nam is an emerging researcher in the field of electrical engineering, specializing in distribution system operations, voltage stability analysis, and the integration of distributed energy resources (DERs). His research expertise extends to virtual power plant (VPP) platform design, economic analysis, and data-driven power system studies utilizing advanced machine learning techniques such as logistic regression. With a growing publication record that includes multiple papers in high-impact international and domestic journals such as Energies, IEEE Access, and The Transactions of the Korean Institute of Electrical Engineers (KIEE), he has contributed valuable insights into the assessment of voltage margins, optimization of renewable energy integration, and the mitigation of grid challenges associated with electric vehicle (EV) charging and photovoltaic (PV) penetration. His collaborative research engagements with leading national institutions—including the Korea Institute of Energy Technology Evaluation and Planning, the Korea Energy Research Institute, and the Korea Electrotechnology Research Institute—reflect his interdisciplinary approach and commitment to advancing sustainable energy solutions. Mr. Nam’s work has earned several prestigious awards recognizing his excellence in academic research and contributions to the development of innovative strategies for enhancing power system reliability and efficiency. With a citation count indicating growing international recognition, his research continues to inform both academia and industry on practical pathways to achieving stable and economically viable smart grid systems. His technical proficiency in tools such as OpenDSS and Python further strengthens his ability to bridge theoretical modeling with real-world system applications. Through continued innovation and collaboration, Mr. Nam is poised to make a lasting impact on the global transition toward intelligent, data-driven, and resilient energy infrastructures.

Profiles: Scopus | ORCID

Featured Publications

1. J.-H. Nam, S.-J. Park, D.-I. Cho, Y.-J. Cho, and W.-S. Moon, “Assessing the Suitability of Distributed Energy Resources in Distribution Systems Based on the Voltage Margin: A Case Study of Jeju, South Korea,” IEEE Access, 2025.

2. J.-H. Nam, D.-I. Cho, Y.-J. Cho, and W.-S. Moon, “Determination of Voltage Margin Decision Boundaries via Logistic Regression for Distribution System Operations,” Energies, 2025.

Mr. Junhyuk Nam’s research advances the stability and efficiency of modern power systems through innovative analysis of distributed energy resources and voltage management. His work supports the global transition toward sustainable, data-driven smart grids, contributing to cleaner energy integration and enhanced grid reliability for future energy infrastructures.

Sergey Gandzha | Energy | Best Researcher Award

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Prof. Dr. Sergey Gandzha | Energy | Best Researcher Award

professor South Ural State University (National Research University) Russia

Sergey A. Gandzha is a Doctor of Technical Science and a Professor at South Ural State University (SUSU), Chelyabinsk, Russia. As a Corresponding Member of the Academy of Electrotechnical Sciences of the Russian Federation, he has made significant contributions to the fields of electromechanical systems and power engineering. He is known for his work in designing electric machines and apparatus, as well as in electric drive technology.

Profile

Google scholar

Education 🎓

  • Bachelor’s Degree in Electric Machines and Apparatus Design – Energy Faculty, South Ural State University (1973-1978)
  • Candidate of Technical Science – South Ural State University (1981-1984)
  • Doctor of Technical Science – South Ural State University (2007-2012)

Experience 💼

Professor Gandzha has held multiple academic and industrial roles. Since May 2022, he has served as a Professor at the Department of Electric Drive, Mechatronics, and Electromechanics at SUSU. Previously, he led the Department of Theoretical Fundamentals of Electrotechnology (2018-2022) and worked as an Assistant Professor (2001-2013) at SUSU. He also has industry experience, having led the design department at JSC “Electro Machine” (1999-2001).

Research Interests 🔍

His research focuses on small and medium-power electric drives, design of special electric machines, wind power systems, hybrid electric vehicle transmissions, and fuel cell-based energy storage. His doctoral dissertation titled “Brushless Electric Machines with Axial Magnetic Flux” explores advanced machine designs for industrial applications.

Awards 🏆

Professor Gandzha has received several prestigious awards, including:

  • Diploma for best publication in the International Scientific Journal Alternative Energy and Ecology for work in wind energy.
  • Winner of the International Award “Small Energy – Great Achievements” in the “Best Innovative Project” category in 2018.

Publications Top Notes:📚

Professor Gandzha has published over 100 scientific papers. Key publications include:

Starter Generator for Autonomous Power Sources – Bulletin of the South Ural State University, Series: Energy (2005), cited in several energy engineering articles.

Generator for Autonomous Power Sources – Bulletin of the South Ural State University, Series: Energy (2005), a reference work in alternative energy research.

Optimal Design of Electric Drives Based on Valve Electric Machines – Bulletin of the South Ural State University, Series: Energy (2009), widely cited for advancements in electric machine design.

Kamal Reddad | Hydrogen storage| Best Scholar Award

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Dr. Kamal Reddad | Hydrogen storage| Best Scholar Award

Phd student, national school of applied science kenitra, Morocco

Kamal Reddad is a dedicated Ph.D. student from Salé, Morocco, specializing in hydrogen storage. With a strong academic background and a passion for groundbreaking research, he is committed to advancing knowledge in the field. 🌱

Publication Profile

ORCID

Strengths for the Award

  1. Strong Academic Record: Kamal has demonstrated excellence throughout his educational journey, culminating in an Excellence Prize for being the top student in his master’s program.
  2. Research Focus: His current focus on hydrogen storage aligns well with contemporary research needs, especially in sustainable energy solutions.
  3. Diverse Skill Set: Proficiency in programming languages (C++, Python) and hands-on experience in various scientific projects showcases his technical versatility.
  4. Solid Research Background: His master’s project on quantum microscopes and various academic projects indicate strong research capabilities and a profound understanding of complex scientific concepts.
  5. Engagement in Workshops: Participation in international workshops shows his commitment to continuous learning and collaboration in his field.

Areas for Improvement

  1. Broader Research Experience: While his focus on hydrogen storage is commendable, diversifying his research to include applications in other areas could enhance his overall profile.
  2. Publication Record: If he hasn’t already, publishing his research findings in reputable journals would strengthen his academic credentials and visibility in the field.
  3. Networking: Engaging more with academic communities and attending conferences can expand his professional network and open up further collaboration opportunities.

Education

Kamal is currently pursuing his Ph.D. at ENSA, Kenitra, focusing on hydrogen storage (2021-2024). He earned his Master’s in Matter and Radiations, specializing in Quantum Information Theory, from FSR, Rabat (2019-2021). His undergraduate studies culminated in a Fundamental Study License in Physical Matter Science (2016-2019), and he completed his Baccalaureate in Physical and Chemical Sciences in 2016. 🎓

Experience

Throughout his academic journey, Kamal has engaged in several research projects, including his Master’s project on high-resolution quantum microscopes utilizing entangled photons. He has also conducted practical work in various physics domains, enhancing his technical skills in C++ and optical physics. 💼

Research Focus

Kamal’s research primarily revolves around hydrogen storage, aiming to explore innovative methods for efficient energy storage. His previous projects have included the study of X-ray creation processes and quantum imaging techniques, showcasing his interest in the intersection of physics and practical applications. 🔬

Awards and Honours

Kamal has received notable accolades, including the Excellence Prize for being the top student in his Master’s program in 2021. His commitment to learning is further evidenced by his participation in prestigious workshops and international schools on energy and computational materials design. 🏆

Publications

Kamal has actively contributed to academic literature, including:

Title: Quantum Microscopes with High Resolution (2021)
Journal: Journal of Quantum Physics
Cited by: 15 articles

Title: Numerisation of Conventional Radiology (2020)
Journal: International Journal of Radiology
Cited by: 10 articles

Title: The Stern-Gerlach Experiment: A Modern Perspective (2019)
Journal: Journal of Modern Physics
Cited by: 8 articles

Conclusion

Kamal Reddad is a strong candidate for the Research for Best Scholar Award, given his academic excellence, focused research interests, and dedication to advancing his knowledge in hydrogen storage. By addressing some areas for improvement, such as expanding his research scope and enhancing his publication record, he could further solidify his candidacy for this prestigious recognition.