Sunil Singal | Clean Energy | Research Excellence Award

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Dr. Sunil Singal | Clean Energy | Research Excellence Award

Indian Institute of Technology Roorkee | India 

Dr. Sunil Kumar Singal is a distinguished Professor in the Department of Hydro and Renewable Energy at IIT Roorkee, with over four decades of experience in teaching, research, and consultancy. His expertise spans small hydropower resource assessment, planning and design, techno-economic analysis, integrated renewable energy systems, and water resources management. He has guided numerous doctoral and postgraduate scholars, authored extensive research publications, books, standards, and guidelines, and led nationally and internationally funded projects. Dr. Singal has played a key role in policy support, capacity building, technology transfer, and professional committees, contributing significantly to sustainable hydropower and renewable energy development.

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Featured Publications

Getahun Ayele Tessema | Energy Sustainability | Best Researcher Award

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Mr. Getahun Ayele Tessema | Energy Sustainability | Best Researcher Award

Mr. Getahun Ayele Tessema | Indian Institute of Technology Roorkee (IITR) | India

Getahun Ayele Tessema is an emerging researcher and PhD Candidate at the Indian Institute of Technology Roorkee (IITR), specializing in energy efficiency and sustainable built environments. He holds a B.Tech and Master’s degree with distinction and previously served as a Lecturer at Adama Science and Technology University, where he earned the Best Teacher Award for his academic excellence. Currently supported by the prestigious ICCR Africa PhD Scholarship from the Government of India, he continues to advance impactful research in the Built Environment Lab at IIT Roorkee. His academic and professional journey reflects consistent excellence, with active engagement in research, teaching, and community-oriented scientific contributions. He has completed or is working on five research projects, published two journal papers, and maintains a growing citation record accessible through Google Scholar. His collaborative work spans international and institutional partnerships, and he holds memberships in two professional organizations aligned with his research areas. Getahun’s research focuses on energy-efficient buildings, energy modelling, energy-use behaviour, and energy analysis. His contributions offer significant insights into the determinants of household energy-saving behaviour in Ethiopian urban settings. By integrating personal norms with the Theory of Planned Behaviour, he has developed a comprehensive framework that helps understand and influence energy-conscious behaviour. This work supports the development of national energy conservation strategies and provides a scientific basis for formulating building energy codes—an urgent need for sustainable urban growth in Ethiopia. His findings aim to guide policymakers, enhance occupant awareness, and contribute to cleaner energy access through practical, community-responsive solutions. Through his multidisciplinary research, academic leadership, and commitment to sustainable development, Getahun exemplifies innovation, scholarly excellence, and societal impact. His work aligns strongly with the vision of promoting energy-efficient built environments and positions him as a strong candidate for the Best Researcher Award.

Profile: Google Scholar

Featured Publications

Tessema, G. A., Chani, P. S., & Rajasekar, E. (2025). Analysis of residential electricity consumption in Ethiopian condominiums: Leveraging cluster analysis for targeted electrification interventions. In 2025 IEEE 13th International Conference on Smart Energy Grid Engineering (SEGE). IEEE.

Tessema, G. A., Chani, P. S., & Rajasekar, E. (2025). Modelling energy-saving behaviour in Ethiopian urban households: Integrating personal norms and demographic moderators to the theory of planned behaviour. Energy and Buildings, —, 116709.

Mahdi Salehi | Energy Sustainability | Editorial Board Member

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Prof. Dr. Mahdi Salehi | Energy Sustainability | Editorial Board Member

Prof. Dr. Mahdi Salehi | Ferdowsi University of Mashhad | Iran

Dr. Mahdi Salehi is a highly respected Professor of Accounting at Ferdowsi University of Mashhad, known for his extensive scholarly contributions to the fields of auditing, financial management, and corporate governance. Born in Hidaj City, Zanjan Province, he has established a strong academic presence through a combination of rigorous research, influential teaching, and active engagement in the professional accounting community. Dr. Salehi’s academic background includes degrees in business management, financial management, and accounting. His early academic work explored the role of financial intermediaries in supporting companies listed on the Tehran Stock Exchange, while his doctoral research examined the corporate audit expectation gap in Iran. These foundational studies helped shape his research trajectory and continue to inform his scholarly outlook. His research interests encompass financial management, ownership structure, auditing, banking, corporate governance, and capital markets. He has authored an extensive body of publications in well-regarded refereed and indexed journals. His work addresses key issues such as audit expectations, audit independence, fraud detection, capital market behavior, financial distress prediction, customer satisfaction in banking and insurance, and the relationship between corporate governance structures and organizational performance. Dr. Salehi’s research often focuses on emerging markets, offering valuable insights into the dynamics of financial systems, regulatory environments, and organizational behavior. His comparative studies—particularly those examining audit practices across different countries—have contributed to a deeper global understanding of audit quality and stakeholder expectations. He is fluent in English, Farsi, and Turkish, enabling him to collaborate widely and contribute to international academic dialogue. With active profiles on major scholarly platforms such as Google Scholar and Scopus, Dr. Salehi is recognized for the reach and impact of his research. Through continuous publication, academic leadership, and engagement with diverse research themes, he has become a prominent and influential voice in the field of accounting.

Profile: Google scholar

Featured Publications

Salehi, M., & Rostami, V., & Mogadam, A. (2010). Usefulness of accounting information system in emerging economy: Empirical evidence of Iran. International Journal of Economics and Finance, 2(2), 186–195.

Salehi, M., & Alipour, M. (2010). E-banking in emerging economy: Empirical evidence of Iran. International Journal of Economics and Finance, 2(1), 201–209.

Alipour, M., Salehi, M., & Shahnavaz, A. (2009). A study of on the job training effectiveness: Empirical evidence of Iran. International Journal of Business and Management, 4(11), 63–68.

Hemmatfar, M., Salehi, M., & Bayat, M. (2010). Competitive advantages and strategic information systems. International Journal of Business and Management, 5(7), 158–168.

Salehi, M., Fakhri Mahmoudi, M. R., & Daemi Gah, A. (2019). A meta-analysis approach for determinants of effective factors on audit quality: Evidence from emerging market. Journal of Accounting in Emerging Economies, 9(2), 287–312.

Mr. Wenzhuang Liu | Energy Sustainability | Best Researcher Award | 2573

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Mr. Wenzhuang Liu | Energy Sustainability | Best Researcher Award

Mr. Wenzhuang Liu | North China University of Science and Technology | China

This researcher has built a strong academic foundation in energy systems and renewable energy integration, focusing on innovative methods to enhance the flexibility, efficiency, and sustainability of modern power grids. With advanced studies in engineering thermophysics and hands-on experience in multiple research projects, the researcher has developed a deep understanding of thermodynamics, energy storage systems, and the challenges associated with large-scale renewable energy integration under contemporary carbon-neutrality goals. A key contribution is the development of an optimized configuration regulation method for energy storage systems (ESS) designed to address peak-shaving pressures arising from the widespread adoption of renewable energy. This method integrates deep peak shaving of thermal power units with coordinated demand-side response strategies, forming a comprehensive source-load-storage interaction model. By accounting for uncertainties in renewable generation and dynamic load variations, the framework enhances system responsiveness and operational flexibility. Simulation studies conducted across multiple scheduling scenarios demonstrate substantial improvements, including reductions in overall operation cost, unit operating cost, and renewable energy input cost. The findings highlight the method’s potential to significantly boost renewable energy utilization while maintaining economic and operational stability in power systems. Beyond this flagship innovation, the researcher has contributed to ongoing projects related to optimizing energy storage configurations for enhanced peak regulation. Their scholarly output includes publications in reputable journals and active engagement in funded research initiatives supported by scientific foundations and industrial laboratories. The researcher has also patented a novel ESS configuration approach centered on deep peak shaving and source-load-storage coordination. Overall, the researcher’s work advances both theoretical and application-oriented dimensions of renewable energy integration. Their contributions support more resilient, responsive, and economically viable power systems, making a meaningful impact on the transition toward low-carbon energy futures and reinforcing their suitability for recognition under research excellence awards.

Profiles: Scopus | Orcid 

Featured Publications

Liu, J., Zhang, Z., Xie, Q., & Liu, W. (2024). Dual-phase model: Estimating the temperature and hydrodynamic size of magnetic nanoparticles with protein-corona formation. Applied Physics Letters. https://doi.org/10.1063/5.0199403

Li, L., Yi, W., Cui, X., & Liu, W. (2023). Rapid and high sensitivity temperature measurement based on near-extinction photoelastic modulated magneto-optical Kerr effect of Fe-Gd nanofilm. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2023.3323049

Liu, J., Huang, P., Zhang, Z., Xie, Q., & Liu, W. (2023). The nonlinear dynamics of magnetic nanoparticles: A thermometry in complex magnetic fields. Applied Physics Letters. https://doi.org/10.1063/5.0151058

Cui, X., Li, L., & Liu, W. (2022). A rapid and sensitive magnetic immunoassay of biomolecules based on magnetic nanoparticles. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2022.3216405

Guo, S., Yi, W., & Liu, W. (2022). Biological thermometer based on the temperature sensitivity of magnetic nanoparticle paraSHIFT. Nanotechnology. https://doi.org/10.1088/1361-6528/ac3b81

Peng, H., Cheng, C., Wan, Q., Jia, S., Wang, S., Lv, J., Liang, D., Liu, W., Liu, X., Zheng, H., et al. (2022). Fast multi-parametric imaging in abdomen by B1+ corrected dual-flip angle sequence with interleaved echo acquisition. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.29127