Abouzar Gholamalizadeh | Climate-Responsive Architecture | Research Excellence Award

Dr. Abouzar Gholamalizadeh | Climate-Responsive Architecture | Research Excellence Award

Researcher | University of Tehran | Iran

Abouzar Gholamalizadeh is a researcher and academic affiliated with the Management College of the University of Tehran, specializing in industrial management, operations research, and decision sciences. He has gained extensive professional experience through academic research, interdisciplinary projects, and contributions to analytical and decision-support frameworks in energy and public-sector management. His research focuses on mechanism design, energy management, quantitative decision-making methods, spatial multi-criteria analysis, and sustainable urban systems, with peer-reviewed publications in leading international journals such as Sustainable Cities and Society and Transformations in Business and Economics. His scholarly work advances urban sustainability, photovoltaic system planning, thermal comfort assessment, and risk-aware procurement mechanisms.He also serves as a reviewer for internationally recognized journals, including Energy Conversion and Management and Kybernetes, reflecting his standing in the academic community and commitment to research quality and scholarly service, with a research impact comprising 11 citations, 3 publications, and an h-index of 1.

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Featured Publications

Ali Kemal Özcan | Energy-Efficient Architecture | Research Excellence Award

Assist. Prof. Dr. Ali Kemal Özcan | Energy-Efficient Architecture | Research Excellence Award

Assistant Professor | Hasan Kalyoncu University | Turkey

Assist. Prof. Dr. Ali Kemal Özcan is an Assistant Professor at Hasan Kalyoncu University, specializing in renewable energy systems, thermodynamics, and heat transfer. He has led and contributed to research on concentrated solar energy systems, solar furnaces, and thermal energy storage, with experimental, numerical, and analytical studies on metal melting and phase change materials. His work appears in indexed international journals and conferences, and he holds a patent in solar energy technologies. His research impact includes 9 citations, 2 publications, and an h-index of 1.

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Trabzon Koşullarında Güneş Radyasyonu ile Alüminyum Ergitme

– 5th International Symposium on Innovative Technologies in Engineering and Science 29-30 September 2017 (ISITES2017 Baku-Azerbaijan)

Melting of Aluminium by Solar Radiation in Trabzon Conditions

– 5th International Symposium on Innovative Technologies in Engineering and ScienceAt: Bakü, Azerbaycan

Mohsen Nazoktabar | Energy-Efficient Architecture | Excellence in Research Award

Mr. Mohsen Nazoktabar | Energy-Efficient Architecture | Excellence in Research Award

Faculty Member | Islamic Azad University | Iran

Mohsen Nazoktabar is a senior mechanical engineer and academic specializing in energy conversion and internal combustion engine technologies, affiliated with leading automotive and engineering organizations and higher education institutions. He has extensive professional experience in engine and vehicle design, system validation, intelligent cooling systems, and national powertrain development projects, with leadership roles in industrial research and engineering management. His research focuses on HCCI combustion control, multi-zone thermodynamic modeling, heat transfer, energy and exergy analysis, and thermal systems optimization, resulting in widely cited publications in high-impact international journals. He is recognized for his contributions to applied engineering research, industry–academia collaboration, and professional training within the energy and mechanical engineering community. His research impact includes 142 citations, 8 publications, and an h-index of 6.

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Madhiarasan Manoharan | Energy-Efficient Architecture | Best Researcher Award

Dr. Madhiarasan Manoharan | Energy-Efficient Architecture | Best Researcher Award

Postdoctoral Fellow | Aarhus University | Denmark

Dr. Manoharan Madhiarasan is a Postdoctoral Fellow at the Department of Business Development and Technology, Aarhus School of Business and Social Sciences, Aarhus University, recognized for his expertise in renewable energy systems, artificial intelligence, machine learning, deep learning, forecasting, and optimization. He has previously served in research and academic roles across leading institutions, including IIT Roorkee, Transilvania University of Brașov, and the French Institute of Pondicherry, along with experience as Assistant Professor, Research and Development Coordinator, and project mentor in engineering and technology programs. His research spans solar and wind energy forecasting, photovoltaic system modelling, metaheuristic optimization, neural network design, IoT-based energy systems, and intelligent hybrid models, resulting in extensive international journal publications, book chapters, patents, and conference contributions. He has led national workshops, served as convener and coordinator for faculty development programs, and delivered keynote addresses at global summits on renewable energy and intelligent systems. Dr. Madhiarasan holds several prestigious recognitions, including competitive research fellowships and a Best Researcher Award, and he is an IEEE Senior Member with memberships across numerous professional bodies. He contributes widely to the scholarly community as Associate Editor, Guest Editor, and Editorial Board Member for multiple international journals, and as a reviewer for high-impact publishers such as Springer, Elsevier, IEEE, Wiley, MDPI, and Frontiers. His record reflects sustained leadership, interdisciplinary scholarship, and significant contributions to advanced energy technologies and computational intelligence. His research impact includes 466 citations, 31 publications, and an h-index of 9.

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Featured Publications

1. M. Madhiarasan, G. Fotis, M. Presser, M.J. Beliatis, Mountain Gazelle Optimiser-based single, double, and triple diode models associated solar cells and panels parameters extraction. Discover Sustainability, 2025, 6, 903.

2. M. Madhiarasan, S.N. Deepa, N.Y. Jayalakshmi, Hyperparameter optimization of a deep radial basis neural learning approach for wind speed forecasting. Int. J. Syst. Assur. Eng. Manag., 2025, Accepted.

3. M. Madhiarasan, Bayesian optimisation algorithm based optimised deep bidirectional long short term memory for global horizontal irradiance prediction in long-term horizon. Front. Energy Res., 2025, 13, 1499751.

4. M. Madhiarasan, S.N. Deepa, Comparative analysis on hidden neurons estimation in multilayer perceptron neural networks for wind speed forecasting. Artif. Intell. Rev., 2016, 1–23.

5. M. Madhiarasan, M. Louzazni, Analysis of artificial neural network: architecture, types, and forecasting applications. J. Electr. Comput. Eng., 2022, 5416722.

Dr. Madhiarasan’s work advances intelligent renewable energy systems by integrating AI-driven forecasting, optimization, and smart energy technologies that enhance the reliability and efficiency of global power infrastructures. His research supports sustainable energy transitions, strengthens industry innovation, and provides data-driven solutions for emerging challenges in solar and wind energy applications. He envisions a future where intelligent computational models power cleaner, smarter, and more resilient energy ecosystems worldwide.

Giuseppe Perfetto | Active Buildings | Excellence in Sustainable Architecture Award

Mr. Giuseppe Perfetto | Active Buildings | Excellence in Sustainable Architecture Award

Executive Director | Solardesign |Italy

Giuseppe Perfetto is a Senior Architect, Sustainability Manager, and Academic Lecturer affiliated with the Polytechnic University of Turin, specializing in solar energy integration, building efficiency, and energy transition systems. With over twenty-five years of professional experience in architecture, renewable energy, and environmental engineering, he has led numerous large-scale solar PV, hydrogen, and zero-energy building projects across Italy and Europe. He has contributed to the advancement of sustainable architecture and municipal energy planning. His research focuses on Building-Integrated Photovoltaics (BIPV), dynamic shading systems, and adaptive energy-efficient design, reflected in publications such as Optimizing Building Performance with Dynamic Photovoltaic Shading Systems: A Comparative Analysis of Six Adaptive Designs in Smart Cities and multiple IEEE conference proceedings. An active educator, he has co-supervised several master’s theses and taught at leading institutions on environmental technical physics and sustainable building systems. Recognized for his expertise, he serves on international scientific committees, including the IEEE Conference on Electrical and Power Engineering, and holds certifications as an Energy Manager and Building Physics Certifier. His numerous honors and leadership roles in professional associations underscore his ongoing commitment to innovation, education, and excellence in sustainable design and energy transition. His research impact includes 5 citations, 3 publications, and an h-index of 2.

Profile: Scopus

Featured Publication

1. Perfetto G., Optimizing Building Performance with Dynamic Photovoltaic Shading Systems: A Comparative Analysis of Six Adaptive Designs. Smart Cities, 2025, Open Access

Mr. Giuseppe Maria Perfetto’s work advances the integration of renewable energy and adaptive design within architecture, driving the transition toward energy-positive and climate-responsive buildings. His research fosters innovation that bridges science, industry, and sustainability, contributing to global efforts toward carbon-neutral, intelligent built environments.

Yao Lu | Energy-Efficient Architecture | Best Researcher Award

Assoc. Prof. Dr. Yao Lu | Energy-Efficient Architecture | Best Researcher Award

Associate Reseacher at Beijing Institute of Nanoenergy and Nanosystems, China

Dr. Yao Lu is an accomplished researcher specializing in smart batteries, lithium-ion batteries, and flexible sensors. He earned his Ph.D. from the University of Science and Technology Beijing, where he trained in advanced materials and physics at the Beijing Key Laboratory for Magneto-Photoelectrical Composite and Interface Science. He later joined Tsinghua University as a research fellow at the State Key Laboratory of Automotive Safety and Energy, where he advanced research on energy storage and battery safety. Currently, Dr. Lu serves as an Associate Researcher at the Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences. His research emphasizes developing safe, long-life, and energy-efficient battery systems by integrating flexible sensor technologies. With over 25 peer-reviewed publications in leading journals, he has made impactful contributions to both academic science and practical energy applications. Dr. Lu is recognized as a promising researcher shaping the future of sustainable energy storage.

Professional Profile

ORCID

Education

Dr. Yao Lu completed his doctoral studies at the University of Science and Technology Beijing (USTB), where he conducted research at the Beijing Key Laboratory for Magneto-Photoelectrical Composite and Interface Science. His Ph.D. work focused on advanced physics, nanomaterials, and energy systems, laying the foundation for his later work in smart batteries and flexible sensors. At USTB, he gained expertise in electrochemical energy storage mechanisms and safety analysis of high-performance batteries. Following his doctoral training, Dr. Lu pursued additional research opportunities at Tsinghua University, one of China’s most prestigious institutions, where he worked on automotive safety and energy technologies. These academic experiences provided him with a strong interdisciplinary background combining physics, materials science, electrochemistry, and engineering. This broad training equipped him to tackle the pressing challenges in next-generation energy storage technologies, particularly in developing safe, intelligent, and energy-efficient battery systems suitable for electric vehicles and renewable energy applications.

Research Focus 

Dr. Yao Lu’s research focuses on the intersection of energy storage technology, sensor integration, and sustainability. His primary work explores smart lithium-ion batteries enhanced with flexible and implantable sensors that improve safety, performance, and life cycle management. He investigates critical challenges in battery technology, including thermal runaway mechanisms, lithium dendrite suppression, and rapid charging solutions. By combining materials engineering, electrochemical analysis, and sensor fusion techniques, his work aims to create next-generation batteries that are both safe and efficient. Additionally, Dr. Lu contributes to research on zinc-ion batteries and sodium-ion batteries, offering sustainable alternatives to traditional lithium-ion systems. His studies also incorporate AI-enabled battery management systems, providing intelligent monitoring and predictive maintenance capabilities for electric vehicles and large-scale energy storage. Overall, his research represents a forward-looking approach to clean energy innovation, addressing global needs for safer, more reliable, and environmentally responsible power storage solutions.

Publication Top Notes

Title: Zinc-ion batteries: pioneering the future of sustainable energy storage through advanced materials and mechanisms
Authors: Zixuan Chen, Liang Zhang, Tianyu Yu, Huancheng Yang, Yao Lu, Xiaodan Wang, Rui Li, Zonglun Ye, Yue Wang, Pengwei Li et al.
Summary: This article explores zinc-ion batteries as sustainable alternatives to lithium-ion systems. It provides mechanistic insights and highlights material strategies for performance enhancement, opening pathways for environmentally friendly storage solutions.

Title: Manipulation of lithium dendrites based on electric field relaxation enabling safe and long-life lithium-ion batteries
Authors: Xuebing Han, Shuoyuan Mao, Yu Wang, Yao Lu, Depeng Wang, Yukun Sun, Yuejiu Zheng, Xuning Feng, Languang Lu, Jianfeng Hua et al.
Summary: This study addresses lithium dendrite formation, a critical safety issue. The team demonstrated how electric field relaxation strategies can suppress dendrites, prolonging battery life and improving reliability.

Title: AI enabled fast charging of lithium-ion batteries of electric vehicles during their life cycle: review, challenges and perspectives
Authors: Daoming Sun, Dongxu Guo, Yufang Lu, Jiali Chen, Yao Lu, Xuebing Han, Xuning Feng, Languang Lu, Hewu Wang, Minggao Ouyang
Summary: A comprehensive review highlighting AI-driven methods for safe fast charging. The paper identifies challenges and future directions for integrating AI with EV battery management.

Title: Early warning for thermal runaway in lithium-ion batteries during various charging rates: Insights from expansion force analysis
Authors: Kuijie Li, Chen Li, Xuebing Han, Xin Gao, Yao Lu, Depeng Wang, Weixiong Wu, Yuan-cheng Cao, et al.
Summary: This work introduces expansion force analysis as a diagnostic method for predicting thermal runaway, contributing to improved safety monitoring in Li-ion batteries.

Title: In situ evaluation and manipulation of lithium plating morphology enabling safe and long-life lithium-ion batteries
Authors: Shuoyuan Mao, Yu Wang, Yao Lu, Xuebing Han, Yuejiu Zheng, Xuning Feng, Xinqi Ren, Languang Lu, Minggao Ouyang
Summary: The study reports advanced in situ techniques to monitor and control lithium plating, enhancing battery safety and durability.

Title: Smart batteries enabled by implanted flexible sensors
Authors: Yao Lu, Xiaodan Wang, Shuoyuan Mao, Depeng Wang, Daoming Sun, Yukun Sun, Anyu Su, Chenzi Zhao, Xuebing Han, Kuijie Li et al.
Summary: This article highlights how flexible sensors implanted within batteries can revolutionize energy storage by enabling real-time state monitoring and improved safety performance.

Conclusion

Dr. Yao Lu is an outstanding candidate for a Best Researcher Award. His innovative work on smart, safe, and sustainable battery technologies positions him at the forefront of energy materials research. With strong publication achievements, impactful collaborations, and recognition through competitive grants, he demonstrates the qualities of a researcher whose contributions will continue to shape the future of energy storage and flexible sensing technologies.