Madhiarasan Manoharan | Energy-Efficient Architecture | Best Researcher Award

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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.

Profiles: Scopus | ORCID | Google Scholar

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.

Hyeonsoo Kim | Building Energy Optimization | Best Researcher Award

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Prof. Hyeonsoo Kim | Building Energy Optimization | Best Researcher Award

Assistant Professor | Seoul National University of Science and Technology | South Korea

Dr. Hyeonsoo Kim is a Postdoctoral Researcher at the Korea Institute of Civil Engineering and Building Technology (KICT) in the Building Energy Research Center, specializing in building energy systems and sustainable architecture. He earned his Ph.D. in Architecture from the University of Michigan, where his research focused on the economic feasibility of achieving net-zero energy and emission buildings in the United States. His professional background includes extensive work on projects related to carbon-neutral city realization, smart energy systems, and thermal break technologies for improving building performance. Dr. Kim has co-authored several impactful publications in leading journals such as Applied Energy, Journal of Cleaner Production, and Energy Conversion and Management: X, contributing significantly to the fields of net-zero energy building design, emission trading frameworks, and renewable-integrated heat pump systems. He has served in various academic leadership roles, including Editorial Board Member and Academic Director for the KIEAE Journal and Guest Editor for Buildings (MDPI). In addition, he has contributed as a moderator, instructor, and project lead in national and international collaborations advancing green building technologies. Dr. Kim holds the LEED Accredited Professional certification, reflecting his commitment to sustainable and high-performance building design. His research impact includes 52 citations, 5 publications, and an h-index of 3.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Kim H., Economic Feasibility of Achieving Net-Zero Energy in Residential Buildings in the USA. 2023.

2. Junghans L., Kim H., Evaluation of multiple predictive control strategies to optimally use building thermal mass to reduce annual operation costs and associated GHG emissions. J. Build. Eng., 2025, 112, 113963.

3. Kim H., Junghans L., Economic feasibility of achieving net-zero emission building (NZEB) by applying solar and geothermal energy sources to heat pump systems: A case in the United States. J. Clean. Prod., 2023, 416, 137822.

4. Kim H., Junghans L., Integrative economic framework incorporating the Emission Trading Scheme (ETS) for US residential energy systems. Energy Convers. Manag.: X, 2022, 14, 100197.

5. Kim H., Lim J.W., Predicting the economic feasibility of solar-based net-zero emission buildings (NZEBs) in the United States non-residential sector. J. Clean. Prod., 2024, 470, 143272.

Dr. Hyeonsoo Kim’s research advances global sustainability by integrating renewable energy systems and intelligent control strategies to achieve net-zero energy buildings. His work contributes to reducing carbon emissions, guiding policy and industry practices toward resilient, energy-efficient, and environmentally responsible urban development.

Guodan Liu | Environmental Design | Best Researcher Award

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Prof. Dr. Guodan Liu | Environmental Design | Best Researcher Award

Professor | Qingdao University of Technology | China

Professor Guodan Liu, a distinguished Professor and Doctoral Supervisor at Qingdao University of Technology, is a leading scholar in sustainable energy solutions and building technology. He earned advanced degrees specializing in energy and thermal environments, shaping his expertise in new energy development, energy efficiency technologies, and human thermal comfort. With extensive professional experience, he has led major national and provincial research projects, including those funded by the National Natural Science Foundation of China and Shandong Provincial R&D initiatives, delivering impactful contributions to low-carbon, high-comfort built environments. Professor Liu has published over 135 peer-reviewed articles in internationally indexed journals, secured 64 patents, and maintains strong collaborations with leading research groups. His editorial contributions include serving as Guest Editor for a special issue in the journal Buildings. Recognized with prestigious honors such as the Shandong Provincial Technology Invention Award, Shandong Science and Technology Progress Prizes, and a Qingdao Municipal Science and Technology Award, he has also been acknowledged as an Outstanding Graduate Advisor and University Teacher. He actively contributes to the academic community as Standing Director of four professional committees on HVAC, Thermal Power, Refrigeration, and Building Environment and Energy in Shandong Province. Professor Liu continues to advance research on indoor thermal comfort under complex conditions, bridging energy efficiency with human well-being  708 citations, 58 publications, h-index 16.

Profile: Scopus

Featured Publications

1. Liu G., Research on the lighting satisfaction prediction model for elementary school classrooms based on illuminance gradient. J. Build. Eng., 2025, Accepted.

2. Liu G., Research on recognition of bedding system coverage rate using infrared thermal imaging. J. Therm. Biol., 2025, Accepted.

3. Liu G., Thermal comfort and sensitivity of different body parts exposed to local infrared radiation. Indoor Air, 2025, Accepted.

4. Liu G., Analysis of energy consumption drivers in building rooms: a case of the commercial complex in Chengdu. Energy Informatics, 2024, 7, 78.

5. Liu G., Analysis of factors affecting air conditioning energy consumption: the case study of a commercial building in Shenzhen. In Advances in Computer Science and Ubiquitous Computing (Lecture Notes in Electrical Engineering, vol. 1416), 2025, pp. 39–44.