Shakil Ahmad | Environmental Design | Editorial Board Member

Published on by Architecture Engineers

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.