Vijayan Gopalsamy | Engineering | Best Researcher Award

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Prof. Dr. Vijayan Gopalsamy | Engineering | Best Researcher Award

Professor | Meenakshi Sundararajan Engineering College | India

Dr. G. Vijayan, Professor of Mechanical Engineering at Meenakshi Sundararajan Engineering College, Chennai, is an accomplished researcher and educator with over 26 years of academic and industrial experience, including international teaching exposure in the Sultanate of Oman. Holding a Ph.D. in Renewable Energy Engineering from Anna University with a focus on solar thermal and nanofluid technologies, he has made notable contributions to the advancement of sustainable and solar energy systems. His research portfolio encompasses 14 high-impact publications indexed in SCI(E), Scopus, and Google Scholar, along with book chapters, numerous conference papers, and more than 85 journal article reviews. A recognized editor, reviewer, and editorial board member for multiple prestigious journals such as Renewable Energy, Journal of Thermal Analysis and Calorimetry, and Thermal Science, Dr. Vijayan’s expertise in solar energy optimization and nanofluid applications has earned him multiple honors, including the Research Excellence Award (InSc) and the Young Researcher Award (GARNet). His commitment to professional development is reflected through his coordination and participation in AICTE and Anna University-sponsored Faculty Development Programs and contributions to several book publications on renewable energy and engineering education. As a research supervisor at Anna University, he actively guides and motivates students in pursuing innovative projects that align with national energy goals. His multidisciplinary skills, encompassing renewable energy systems, heat transfer, and nanotechnology, along with his extensive academic leadership and mentoring experience, strongly position him as a deserving candidate for the Best Researcher Award, exemplifying excellence in research, teaching, and societal impact through sustainable technological innovations.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate | LinkedIn
Featured Publications

  1. Vijayan, G., & Subramani, J. (2021). Experimental investigation on heat transfer and friction factor characteristics of solar air heater using CuO/water nanofluid. Renewable Energy, 170, 1048–1061.

  2. Vijayan, G., Arunkumar, T., & Kabeel, A. E. (2020). Performance analysis of solar still integrated with hybrid nanofluid-based solar collector. Journal of Thermal Analysis and Calorimetry, 142(5), 2027–2039.

  3. Vijayan, G., & Senthilkumar, P. (2019). Energy and exergy analysis of solar thermal systems using nanofluids: A review. Journal of Cleaner Production, 233, 1332–1348.

  4. Vijayan, G., & Suresh, S. (2018). Experimental studies on thermal conductivity enhancement of Al2O3-water nanofluids for solar thermal applications. Applied Thermal Engineering, 137, 659–669.

  5. Vijayan, G., & Rajasekar, K. (2017). Heat transfer enhancement in flat plate solar collector using nanofluids—A comprehensive review. International Journal of Heat and Mass Transfer, 115, 880–895.

 

Dr. G. Vijayan’s pioneering research in renewable energy, solar thermal systems, and nanofluid technology advances sustainable energy solutions that enhance efficiency and environmental resilience. His work bridges scientific innovation and industrial application, driving global progress toward cleaner energy systems and sustainable engineering development.

Xingyu Zhou | Engineering | Best Researcher Award

Published on by Best Paper Awards

Prof. Dr. Xingyu Zhou | Engineering | Best Researcher Award 

Assistant Professor | Beijing Institute of Technology | China

Dr. Zhou Xingyu, Assistant Professor at the Beijing Institute of Technology, is an accomplished researcher specializing in renewable energy and electric vehicles. He earned his Ph.D. in Vehicle Engineering from Chongqing University in 2020, following a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation from the same institution. Dr. Zhou has extensive professional experience, including his current role as Assistant Professor at the School of Mechanical Engineering and Vehicle Engineering, Beijing Institute of Technology since March 2023, and a postdoctoral fellowship at the same institute from 2020 to 2023, where he contributed to the National Engineering Research Center for Electric Vehicles. His research interests focus on vehicle powertrain optimization, intelligent energy management, stochastic and data-driven modeling, and electric vehicle motion planning for enhanced energy efficiency. He has demonstrated expertise in multi-objective optimization, machine learning applications for powertrain design, and integration of fuel cell and hybrid electric vehicle systems. Dr. Zhou has led and participated in multiple high-impact research projects, including a National Natural Science Foundation of China Youth Project and key provincial and national projects on electric vehicle energy optimization and system integration. He has published 27 Scopus-indexed documents with 448 citations and an h-index of 11, in reputed journals such as Applied Energy, Journal of Power Sources, Journal of Cleaner Production, and IEEE Transactions on Vehicular Technology, serving frequently as corresponding author. His awards and honors include the Best Student Paper Award at the 2018 Italian Conference on Machines and Mechanisms. In addition, he contributes to the academic community as a reviewer for top journals and Guest Editor of Sustainability. Dr. Zhou Xingyu’s strong technical expertise, leadership in research projects, international collaborations, and commitment to sustainable innovation make him a highly deserving candidate for the Best Researcher Award, reflecting both outstanding academic achievements and meaningful contributions to advancing green mobility and energy-efficient transportation solutions globally.

Profiles: Scopus | ORCID

Featured Publications

Sun, C., Zhang, C., Sun, F., & Zhou, X. (2022). Stochastic co-optimization of speed planning and powertrain control with dynamic probabilistic constraints for safe and ecological driving. Applied Energy, 35, 119874.

Zhou, X., Sun, C., Sun, F., & Zhang, C. (2022). Commuting-pattern-oriented optimal sizing of electric vehicle powertrain based on stochastic optimization. Journal of Power Sources, 545, 23178.

Zhou, X., Sun, F., Zhang, C., & Sun, C. (2022). Stochastically predictive co-optimization of speed planning and powertrain controls for electric vehicles driving in random traffic environment safely and efficiently. Journal of Power Sources, 528, 231200.

Zhou, X., Sun, F., Sun, C., & Zhang, C. (2022). Predictive co-optimization of speed planning and powertrain energy management for electric vehicles driving in traffic scenarios: Combining strengths of simultaneous and hierarchical methods. Journal of Power Sources, 523, 230910.

Zhou, X., Sun, F., & Sun, C. (2021). Machine learning aided methods for reducing the dimensionality of the comprehensive energy economy optimization of fuel cell powertrains. Journal of Cleaner Production, 327, 129250.