Xingyu Zhou | Engineering | Research Excellence Award

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Prof. Xingyu Zhou | Engineering | Research Excellence Award

Assistant Professor | Beijing Institute of Technology | China

Prof. Xingyu Zhou is an Associate Professor at the School of Mechanical Engineering, Beijing Institute of Technology, China, specializing in renewable energy systems and electric vehicle (EV) powertrain optimization. His research integrates deep learning, stochastic modeling, and co-optimization techniques to enhance EV efficiency, safety, and ecological performance. He has authored 30 publications, cited over 494 Citations, and maintains collaborations with 36 co-authors, contributing to high-impact journals such as Applied Energy and Journal of Power Sources. Prof. Zhou’s work on predictive speed planning, powertrain energy management, and renewable energy integration advances sustainable transportation solutions, promoting environmentally responsible and technologically innovative mobility systems globally.

Citation Metrics (Scopus)

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Citations
494

Documents
30

h-index
11

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Adedayo Yusuff | Engineering | Outstanding Contribution Award

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Prof. Adedayo Yusuff | Engineering | Outstanding Contribution Award

Sarchi Chair | University of South Africa  | South Africa 

Prof. Adedayo Yusuff is a researcher at the University of South Africa, Pretoria, specializing in power systems engineering, renewable energy integration, energy sustainability, and intelligent energy systems. His scholarly output includes 119 Scopus-indexed publications, accumulating 1,160 citations with an h-index of 16, reflecting consistent academic impact. His research addresses critical challenges in solar and wind integration, microgrids, energy storage, electric vehicles, and energy planning for developing regions, particularly sub-Saharan Africa. Through extensive international collaborations with over 85 co-authors, his work contributes to resilient energy infrastructure, sustainable electrification, and evidence-based energy policy with clear societal and environmental relevance.

Citation Metrics (Scopus)

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Citations
1160

Documents
119

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16

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Featured Publications


Optimal design of wind-powered hydrogen refuelling station for some selected cities of South Africa.

– International Journal of Hydrogen Energy. (2021). Citations: 138

Willingness to pay for green electricity derived from renewable energy sources in Nigeria.

– Renewable and Sustainable Energy Reviews. (2021). Citations: 97

Tzu Wen Kuo | Engineering | Editorial Board Member

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Assist. Prof. Dr Tzu Wen Kuo | Engineering | Editorial Board Member

Architect | Private Chinese Culture University  | Taiwan

Assist. Prof. Dr Tzu Wen Kuo is a dedicated scholar and practitioner in the field of technological disaster prevention, currently serving as a Lecturer in the Department of Architecture and Urban Design at the Chinese Culture University in Taipei, Taiwan. He is also a practicing architect and an active instructor for architectural license examination preparation, demonstrating a strong commitment to bridging academic knowledge with professional practice. Kuo is presently pursuing his PhD in the Department of Architecture at the National Taiwan University of Science and Technology, where his doctoral research focuses on enhancing safety, resilience, and emergency response mechanisms in built environments.Kuo’s research centers on integrating advanced technologies into disaster prevention frameworks, particularly with respect to fire safety, emergency evacuation, and smart building systems. His scholarly contributions reflect a strong emphasis on simulation-based analysis, digital tools, and mobile-assisted evacuation strategies. He has authored multiple peer-reviewed journal articles, including recent works published in Fire and the International Journal of Environmental Research and Public Health. His studies ranging from QR code-enabled fire rescue notification systems to smartphone-based evacuation guidance and stadium evacuation efficiency—highlight his interdisciplinary approach that combines architecture, information technology, and public safety engineering.Through collaborations with academic and industry experts, Kuo contributes to practical solutions that strengthen building safety management and emergency preparedness across various public infrastructures. His work provides empirical insights that support policymakers, architects, and safety professionals in developing more efficient, technology-enhanced disaster response strategies. With growing citations and recognition in the field, Kuo’s research continues to advance the integration of smart technologies into architectural planning and urban safety systems.

Profile : ORCID 

Featured Publications

1.Yang, C.-H., Lin, C.-Y., & Kuo, T.-W. (2025). Simulation-based assessment of evacuation efficiency in sports stadiums: Insights from case studies. Fire, 8(6), 210.

2.Kuo, T.-W., & Lin, C.-Y. (2025). Smart building technologies for fire rescue: A QR code-enabled notification system. Fire, 8(3), 114..

3.Kuo, T.-W., Lin, C.-Y., Chuang, Y.-J., & Hsiao, G. L.-K. (2022). Using smartphones for indoor fire evacuation. International Journal of Environmental Research and Public Health, 19(10), 6061.

Hadi Gokcen | Engineering | Best Researcher Award

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Prof. Hadi Gokcen | Engineering | Best Researcher Award

Professor | Gazi University Industrial Engineering Department | Turkey

Dr. Hadi Gökçen, affiliated with Gazi University, Ankara, Turkey, is a distinguished researcher recognized for his influential contributions to industrial engineering, operations research, and computational intelligence. With 51 published documents, an h-index of 23, and more than 1,920 citations from 1,367 citing documents, his scholarly impact spans data-driven decision systems, intelligent manufacturing, and applied artificial intelligence. His recent works reflect a strong integration of machine learning, optimization, and sustainability in solving real-world industrial and economic problems. In Computational Economics , he introduced a hybrid machine learning model that combines clustering and stacking ensemble approaches for improved real estate price prediction. His research published in Applied Sciences Switzerland, proposed a dynamic scheduling method for identical parallel-machine environments through a multi-purpose intelligent utility framework. In Flexible Services and Manufacturing Journal, he presented innovative balancing and sequencing strategies for mixed-model parallel robotic assembly lines, emphasizing energy-efficient production. Further, his Survey Review paper applied hybrid unsupervised learning to identify sub-real estate markets, enhancing prediction accuracy and market segmentation. His contribution to developing a Digital Transformation Perception Scale underscores his focus on organizational innovation and industrial adaptation within the Industry paradigm. Dr. Gökçen’s interdisciplinary research bridges artificial intelligence, optimization, and digital transformation, advancing the understanding and implementation of intelligent, sustainable, and adaptive systems in engineering and economic domains.

Profiles : ORCID | Scopus | Google Scholar 

Featured Publications

1. Demirel, N. Ö., & Gökçen, H. (2008). A mixed integer programming model for remanufacturing in reverse logistics environment. The International Journal of Advanced Manufacturing Technology, 39(11), 1197–1206.
Cited By : 258

2. Demirel, E., Demirel, N., & Gökçen, H. (2016). A mixed integer linear programming model to optimize reverse logistics activities of end-of-life vehicles in Turkey. Journal of Cleaner Production, 112, 2101–2113.
Cited By : 247

3. Gökçen, H., Ağpak, K., & Benzer, R. (2006). Balancing of parallel assembly lines. International Journal of Production Economics, 103(2), 600–609.
Cited By : 226

4. Gökçen, H. (2007). Yönetim bilgi sistemleri. Ankara: Palme Yayıncılık.
Cited By : 217

5. Erel, E., & Gökçen, H. (1999). Shortest-route formulation of mixed-model assembly line balancing problem. European Journal of Operational Research, 116(1), 194–204.
Cited By : 189

Mohammad Taghilou | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Mohammad Taghilou | Engineering | Best Researcher Award

Associate professor | University of Zanjan | Iran

Dr. Mohammad Taghilou is an Associate Professor in the Department of Mechanical Engineering at the University of Zanjan, Iran. His research expertise lies in heat transfer, phase change problems, energy storage, and porous media, with an emphasis on the lattice Boltzmann method (LBM) and its applications in thermal systems. Over his academic career, he has authored impactful studies published in leading journals such as Applied Thermal Engineering, Computers & Mathematics with Applications, and the International Journal of Thermal Sciences. His most cited works explore PCM solidification, nanofluid-based heat exchangers, and the thermal behavior of energy storage systems. Dr. Taghilou’s studies significantly contribute to advancing thermal management technologies, including applications in lithium-ion batteries, heat sinks, and double-pipe exchangers, with an aim to enhance energy efficiency and system reliability. His collaborations with international scholars from institutions such as the University of Tehran, Aalto University (Finland), and the University of Technology Sydney have expanded the interdisciplinary reach of his research. With 541 total citations, an h-index of 15, and an i10-index of 16, his work demonstrates both academic impact and global relevance. Through innovative numerical modeling and experimental approaches, Dr. Taghilou continues to advance understanding in phase-change thermal systems and nanomaterial-enhanced heat transfer, fostering sustainable energy applications and modern engineering solutions.

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

Featured Publications

1.Sajedi, R., Osanloo, B., Talati, F., & Taghilou, M. (2016). Splitter plate application on the circular and square pin fin heat sinks.  Cited by : 70

2.Taghilou, M., & Rahimian, M. H. (2014). Investigation of two-phase flow in porous media using lattice Boltzmann method. Cited By : 49

3.Talati, F., & Taghilou, M. (2015). Lattice Boltzmann application on the PCM solidification within a rectangular finned container. Cited By : 44

4.Taheri, A. A., Abdali, A., Taghilou, M., Alhelou, H. H., & Mazlumi, K. (2021). Investigation of mineral oil-based nanofluids effect on oil temperature reduction and loading capacity increment of distribution transformers.
Cited By : 40

5.Taghilou, M., & Khavasi, E. (2020). Thermal behavior of a PCM filled heat sink: The contrast between ambient heat convection and heat thermal storage. Cited By : 36