Xingyu Zhou | Engineering | Research Excellence Award

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)

800

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0

Citations
494

Documents
30

h-index
11

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications

Sabitha Vemula | Engineering | Best Researcher Award

Mrs. Sabitha Vemula | Engineering | Best Researcher Award

Associate Professor | Vaagdevi College Of Engineering | India

Mrs. Sabitha Vemula  is an Associate Professor at Vaagdevi College of Engineering with expertise in signal and image processing, medical image analysis, machine learning, and VLSI-related systems. Her research is strongly focused on MRI-based brain tumor detection and classification, integrating kernel methods, support vector machines, convolutional neural networks, and transformer architectures. She has authored over 7 peer-reviewed publications in international journals, IEEE/Elsevier conference proceedings, and edited volumes, accumulating more than 37 citations. Her work reflects sustained interdisciplinary collaboration and contributes to improved diagnostic accuracy, healthcare decision support, and intelligent imaging systems with clear societal and clinical relevance.

Citation Metrics (Google Scholar)

80

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Citations
37

Documents
7

h-index
2

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Featured Publications


MRI brain tumor detection and classification using KPCA and KSVM.

– Materials Today: Proceedings. (2021). Citations: 21

Transformer-enhanced MRI analysis for brain tumor detection with kernel-based PCA and support vector techniques.

– International Conference on Recent Trends in Microelectronics, Automation, Computing and Communications Systems (ICMACC) . (2024). 

Adedayo Yusuff | Engineering | Outstanding Contribution Award

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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0

Citations
1160

Documents
119

h-index
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

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

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

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.

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

Aixia Yuan | Engineering | Best Researcher Award

Dr. Aixia Yuan | Engineering | Best Researcher Award

Teacher at Dalian Polytechnic University, China

Dr. Aixia Yuan is a passionate educator and researcher currently serving as a Teacher at Dalian Polytechnic University, China . She received her Ph.D. in Communication and Information Systems from Dalian Maritime University . With a strong background in wireless communication, filters, and radio frequency technology, she has authored and co-authored  research papers in international journals and conferences . Dr. Yuan teaches “Communication Principles”, a course recognized as an “Excellent Course” award-winning program . Her research explores negative group delay circuits, passive filters, RFID, and advanced communication systems . She has actively participated in provincial-level research projects and collaborated with industry partners to translate research into practical innovations . With three patents filed and multiple impactful contributions, Dr. Yuan continues to inspire her students and peers through her dedication to scientific excellence, innovation, and applied communication systems .

Professional Profile

ORCID Profile

Education 

Dr. Aixia Yuan’s educational journey reflects her deep commitment to communication engineering and information systems . She earned her Ph.D. in Communication and Information System from Dalian Maritime University, China.. Her doctoral work focused on advanced communication structures, filters, and negative group delay circuits, laying a strong foundation for her later research and teaching endeavors. Prior to her Ph.D., she built her academic base with solid training in electronics and wireless communication . Beyond her doctoral studies, Dr. Yuan has expanded her expertise through provincial-level education and science planning projects and collaborative academic programs . As a faculty member at Dalian Polytechnic University, she integrates her academic knowledge into teaching, mentoring, and curriculum development, especially in her recognized “Communication Principles” course . Her academic path demonstrates a perfect blend of rigorous theoretical training, applied research skills, and continuous innovation in communication systems .

Experience 

Dr. Aixia Yuan has accumulated extensive teaching and research experience as a faculty member at Dalian Polytechnic University . She has taught the “Communication Principles” course, which earned the prestigious “Excellent Course” award for its innovation in teaching and relevance in communication studies . On the research front, Dr. Yuan has completed five funded research projects and participated in multiple Liaoning provincial education and science initiatives . She has also worked on two projects under the Liaoning Province Department of Education, contributing to applied research in communication and radio frequency systems . Her professional expertise extends to industry collaborations, with five consultancy projects, bridging the gap between academia and practical technological development . publications and three patents filed, her professional journey demonstrates her dedication to advancing communication technologies while nurturing the next generation of engineers and researchers .

Research Interest

Dr. Aixia Yuan research interests lie at the intersection of communication systems and applied circuit design . She is particularly passionate about radio frequency communication (RFID), negative group delay circuits, and lumped parameter passive filters . Her innovative work in designing multifunctional circuits enables the realization of band-pass, high-pass, and low-pass filters with negative group delays without altering circuit structures . This flexibility offers promising applications in broadband communication and signal processing. She also focuses on wireless communication systems, addressing both theoretical foundations and real-world implementations . Dr. Yuan’s interest in goal-oriented design and low-loss broadband solutions reflects her vision of creating practical, scalable, and efficient solutions for next-generation communication systems . Her active engagement in provincial and international projects and multiple journal publications demonstrates her strong commitment to advancing the frontiers of communication science and engineering .

Award and Honor

Dr. Aixia Yuan has earned recognition for her outstanding contributions in research and teaching . Her course, “Communication Principles”, was honored as an “Excellent Course”, highlighting her commitment to academic excellence and innovative pedagogy . She has successfully completed five competitive research projects and contributed to provincial education and science initiatives at both local and national levels . Her groundbreaking research on negative group delay circuits has been widely recognized in international journals and conferences, showcasing her as a rising scholar in communication engineering . Additionally, Dr. Yuan has filed three patents, emphasizing her ability to transform research into practical, innovative solutions . Her impactful publication, “A Novel Multifunctional Negative Group Delay Circuit…” indexed in WOS, has been cited internationally, strengthening her academic reputation . These accomplishments reflect her dedication to advancing communication technologies while inspiring students and peers through excellence in research and teaching .

Research Skill

Dr. Aixia Yuan possesses a diverse skill set in advanced communication systems and circuit design . Her expertise includes designing negative group delay circuits, lumped parameter passive filters, and RFID-based wireless communication systems . She has hands-on experience in theoretical modeling, equation derivation, simulation, and experimental validation . Dr. Yuan is adept at using simulation tools and analytical methods to optimize circuit design for broadband characteristics and low-loss performance . She has successfully authored  publications and filed three patents, demonstrating strong research writing, innovation, and problem-solving skills . Additionally, her experience in provincial projects and industry consultancy highlights her ability to collaborate across academia and industry . Dr. Yuan’s strengths also include mentorship, teaching, and curriculum development, proven through her award-winning course on Communication Principles . Altogether, her research skills combine technical innovation, scientific rigor, and educational excellence, positioning her as a leader in communication science .

Publication Top Note

Title: A Low-Loss Circuit with High-Pass Low-Pass Broadband Flat Negative Group Delay Characteristics
Authors: Enze Shi, Aixia Yuan, Junzheng Liu, Niannan Chang, Xinqi Guo
Journal: Chips (MDPI)
Year: 2025

Conclusion

Dr. Aixia Yuan has demonstrated remarkable dedication to advancing the fields of communication systems and radio frequency technology . With a Ph.D. in Communication and Information Systems , her academic contributions include over  research papers,  patents, and several impactful projects that have advanced understanding in negative group delay circuits, RFID, and wireless communication. Her published works, such as the  Chips article “A Low-Loss Circuit with High-Pass Low-Pass Broadband Flat Negative Group Delay Characteristics  reflect her commitment to high-quality, innovative, and practical research. Through her teaching at Dalian Polytechnic University, where she has also been recognized for excellence in course delivery , she continues to inspire the next generation of engineers and researchers. Her research bridges theoretical innovation with real-world application, enhancing the future of wireless communication and circuit design. Dr. Yuan’s outstanding achievements, integrity, and community impact make her a deserving candidate for the Best Researcher Award .