Abouzar Gholamalizadeh | Climate-Responsive Architecture | Research Excellence Award

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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

Pankaj Kumar Dubey | Sustainable Architecture | Young Scientist Award

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Mr. Pankaj Kumar Dubey | Sustainable Architecture | Young Scientist Award

Kamla Nehru Institute of Technology | India

Pankaj Kumar Dubey is a Teaching Assistant and Research Fellow in the Department of Electrical Engineering at Kamla Nehru Institute of Technology, specializing in distributed generation, electric vehicles, renewable energy systems, and intelligent power system optimization. He has served as lecturer, lab in-charge, and an active contributor to institutional accreditation committees, alongside prior industry experience as an Electrical Engineer. His professional work spans coordinated control strategies for distributed generations with electric vehicles, smart grid scheduling, microgrid optimization, and AI-based simulation studies, supported by extensive publications in SCI and Scopus-indexed journals, international conferences, book chapters, authored textbooks,multiple granted and published patents across India and abroad. He has earned numerous national and international honors recognizing his academic excellence and research contributions, and he serves as a reviewer for major journals including IEEE Transactions on Intelligent Transportation Systems while holding memberships in several global research and professional organizations. His research impact includes 147 citations, 11 publications, and an h-index of 5.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Dubey P.K., Singh B., Singh D., Singh M.K., Blockchain for Health Care: A Review. In: Blockchain Technology for Healthcare Application, Nova Science Publishers, Accepted.

2. Singh B., Dubey P.K., Distributed power generation planning for distribution networks using electric vehicles: Systematic attention to challenges and opportunities. J. Energy Storage, 2022, 48, 104030.

3. Yadav S., Sudman M.S.I., Dubey P.K., Srinivas R.V., Srisainath R., Devi V.C., Development of a GA-RBF based Model for Penetration of Electric Vehicles and its Projections. Int. Conf. Self Sustainable Artificial Intelligence Systems, 2023, 42.

4. Singh B., Dubey P.K., Singh S.N., Recent optimization techniques for coordinated control of electric vehicles in super smart power grids network: A state of the art. IEEE UPCON, 2022, 32.

5. Dubey P.K., Singh B., Kumar V., Singh D., A novel approach for comparative analysis of distributed generations and electric vehicles in distribution systems. Electr. Eng., 2024, 106(3), 2371–2390.

By developing optimized control strategies for distributed energy resources and electric vehicles, he strengthens the foundation of future smart grids and sustainable power systems. His research drives scientific progress and supports industry and society in transitioning toward cleaner, smarter, and more reliable energy technologies.

Shakil Ahmad | Environmental Design | Editorial Board Member

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Dr. Shakil Ahmad | Environmental Design | Editorial Board Member

University of International Business and Economics | China

Shakil Ahmad is an economist and doctoral graduate from the University of International Business and Economics, Beijing, specializing in applied econometrics, environmental economics, trade relations, and sustainable development. He has served as a Lecturer at the University of Agriculture Peshawar and Abdul Wali Khan University Mardan, teaching econometrics, macroeconomics, microeconomics, international economics, and applied quantitative methods. His professional experience includes contributing to research projects on hospitality sector gaps, crime and justice systems, and socio-economic assessments, where he carried out survey design, field data collection, econometric estimation, and technical proposal development. His research focuses on environmental sustainability, carbon neutrality, energy economy interactions, import demand dynamics, financial inclusion, and foreign direct investment, with publications in recognized journals such as Resources Policy, Journal of Economy and Technology, Asian Journal of Economics and Empirical Research, SAGE Open, Frontiers of Finance, and the Journal of Environmental and Energy Economics. He has served as first or corresponding author on numerous studies addressing China’s environmental policies, Pakistan’s economic sectors, and global trade–environment linkages. His academic trajectory is supported by competitive scholarships throughout his BS, MS, and PhD studies, alongside active involvement in collaborative research, manuscript development, and scholarly engagement. His research impact includes 4 citations, 2 documents, and an h-index of 1.

Profiles: Scopus | ORCID | Google Scholar   

Featured Publications

1. Rahman Z.U., Ahmad S., Khan A. Bridging the EPC and IPAT in the presence of natural resources in China: Considering asymmetries in environmental-related technologies and unemployment. Resources Policy, 2025, 105523.

2. Ahmad S. Exploring the nexus of energy consumption, trade openness, CO2 emissions, and economic growth: A time series analysis in Kuwait. SSRN Electronic Journal, 2024, DOI: 10.2139/ssrn.4817593.

3. Mulk W., Ahmad S., Younas W., Ali S.Y. Testing the neutrality of money, labor, and capital in Pakistan’s agriculture sector. Asian Journal of Economics and Empirical Research, 2024, DOI: 10.20448/ajeer.v11i2.6311.

4. Ahmad S., Raihan A., Ridwan M. Role of economy, technology, and renewable energy toward carbon neutrality in China. Journal of Economy and Technology, 2024, DOI: 10.1016/j.ject.2024.04.008.

5. Ahmad S., Maqbool I., Raihan A., Xin L. Analyzing the dynamics of import demand function in Pakistan: Long-term and short-term relationships with key economic factors. Asian Journal of Economics and Empirical Research, 2024, DOI: 10.20448/ajeer.v11i2.5959.

The nominee’s work advances scientific understanding of the energy economy environment nexus by delivering evidence-based insights that support sustainable policy formulation and low-carbon development. Through rigorous econometric modeling and multidisciplinary research, his contributions enhance decision-making in environmental governance, global trade, and long-term economic resilience.

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.