Rong Chen | Engineering | Research Excellence Award

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Mr. Rong Chen | Engineering | Research Excellence Award

Senior Engineer | Zhejiang Sci-Tech University | China

Mr. Rong Chen is a researcher affiliated with Zhejiang Sci-Tech University, China, specializing in mechanical engineering, structural dynamics, and vibration analysis. With multiple peer-reviewed publications, Chen has contributed to advanced research in crack length prediction, degradation life modeling, and vibration reduction systems using both numerical and experimental approaches. His work focuses on enhancing the reliability and performance of engineering systems, particularly in marine and structural applications. Collaborating with a diverse group of researchers, Chen’s studies address critical challenges in predictive maintenance and system durability. His research holds strong societal and industrial relevance by supporting safer, more efficient mechanical systems and advancing modern engineering technologies.

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Nazish Abid | Engineering | Research Excellence Award

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Dr. Nazish Abid | Engineering | Research Excellence Award

Lecturer | University of Bahrain | Bahrain

Dr. Abid, Nazish is a researcher affiliated with the University of Bahrain, Zallaq, Bahrain, with expertise in social sciences, urban studies, and the analysis of public spaces. With 14 scholarly publications and 30 citations, the researcher has established a growing academic profile, reflected in an h-index of 3. Their work emphasizes the intersection of built environments and societal dynamics, including recent contributions on public open spaces in academic campuses. Actively engaged in collaborative research with international co-authors, Abid’s studies contribute to sustainable urban development and community well-being, demonstrating a commitment to addressing real-world societal challenges through evidence-based research.

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Samyar Sarraf | Engineering | Young Innovator Award

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Dr. Samyar Sarraf | Engineering | Young Innovator Award

Lab Assistant | Sharif University of Technology | Iran

Dr. Samyar Sarraf is a Ph.D. graduate in Mechanical Engineering from Sharif University of Technology, with recognized expertise spanning offshore and marine engineering, civil engineering, and applied hydrodynamics. His research focuses on experimental and numerical investigation of squat submarine hydrodynamic performance and ship–submarine interactions, with multiple peer-reviewed publications in the high-impact journal Ocean Engineering. He has authored several scholarly works, accumulating 16 citations and an h-index of 2, reflecting a growing research influence. In addition to marine hydrodynamics, his interdisciplinary contributions include innovative solutions in geotechnical and earthquake engineering, such as the development of an underground earthquake isolation system and advanced dynamic soil modeling methods. His work demonstrates strong experimental rigor, numerical proficiency, and collaborative engagement with multidisciplinary research teams, offering practical societal impact in maritime safety, offshore operations, and resilient infrastructure design at an international level.

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Shen Yuong Wong | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Shen Yuong Wong | Engineering | Best Researcher Award

Associate Professor | Sunway University | Malaysia

Dr. Wong, Shen Yuong is a researcher at Sunway University, Malaysia, specializing in energy engineering and sustainable power systems. His research centers on renewable energy integration, power quality analysis, green hydrogen technologies, photovoltaic–hydrogen systems, virtual power plants, and energy storage, with strong emphasis on techno-economic assessment and system-level optimization. He employs advanced methodologies such as deep learning, energy modelling, and multi-objective optimization to enhance grid reliability, efficiency, and sustainability. Dr. Wong has authored 54 Scopus-indexed publications, accumulating 708 citations and achieving an h-index of 13, demonstrating significant academic impact in the energy research domain. His work is published in leading international journals, including Engineering Applications of Artificial Intelligence and Process Safety and Environmental Protection. Through collaborations with more than 100 international co-authors, his research contributes to decarbonization strategies, circular economy implementation, and the development of resilient, low-carbon energy systems with meaningful societal and industrial benefits.

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Georgi Ivanov | Engineering | Innovative Research Award

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Dr. Georgi Ivanov | Engineering | Innovative Research Award

Technical University of Sofia | Bulgaria

Georgi Ivanov is a researcher at the Technical University of Sofia, Bulgaria, specializing in electrical engineering with a focus on power transformers, electromagnetic devices, and AI-assisted diagnostics. His research integrates neural networks, dissolved gas analysis (DGA), and advanced modeling techniques to assess insulation aging, operational reliability, and performance optimization of electrical equipment. Dr. Ivanov has authored 20 peer-reviewed publications, receiving 43 citations, with an h-index of 4, reflecting steady academic impact in applied power engineering research. His work demonstrates interdisciplinary collaboration between electrical engineering, materials science, and data-driven methods. Through contributions to transformer monitoring, cryogenic electromagnetic systems, and intelligent diagnostic frameworks, his research supports safer, more reliable, and energy-efficient power infrastructures, delivering tangible societal benefits in industrial reliability and sustainable energy systems.

Citation Metrics (Scopus)

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Featured Publications


Modeling of fluid flow cooling of high-speed rotational electrical devices

– Proc. 16th Conf. on Electrical Machines, Drives and Power Systems (ELMA), 2019 Cited By: 10


Fluid flow modeling in 3D printed CO₂ absorption air contactor

– Proc. 22nd Int. Symposium on Electrical Apparatus and Technologies (SIELA), 2022 Cited By: 4


Vibration and noise analysis of a coaxial magnetic gear

– Proc. II Int. Conf. on High Technology for Sustainable Development, 2019 Cited By: 4


Seismic analysis of high voltage bushing

– Proc. 20th Int. Symposium on Electrical Apparatus and Technologies, 2018 Cited By: 4

Esmael Adem Esleman | Engineering | Best Researcher Award

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Assist. Prof. Dr. Esmael Adem Esleman | Engineering | Best Researcher Award

Assistant Professor | Adama Science and Technology University | Ethiopia

Dr. Esmael Adem Esleman is a researcher at Adama Science and Technology University, Adama, Ethiopia, with expertise in computational science, artificial intelligence, and applied mathematics. His research focuses on the development of AI-driven optimization and search algorithms inspired by physical and thermodynamic principles, with particular emphasis on solving complex ordinary differential equations. He has authored eight peer-reviewed publications, receiving over forty citations, and has established an emerging research profile reflected in his growing academic impact. Dr. Esleman actively collaborates with national and international researchers in interdisciplinary areas bridging mathematics, computer science, and engineering. His work contributes to improved numerical modeling, efficient computational methods, and intelligent problem-solving frameworks with potential applications in science, engineering, and data-driven decision systems, supporting technological advancement and innovation-oriented research.

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Chengbiao Tong | Engineering | Research Excellence Award

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Mr. Chengbiao Tong | Engineering | Research Excellence Award

Professor | Hunan Agricultural University | China

Dr. Chengbiao Tong is a researcher at Hunan Agricultural University specializing in intelligent aquaculture, computer vision, and deep-learning-based environmental monitoring. He has contributed a growing body of scientific work, with publications advancing automated recognition systems, image-based analysis, and smart farming technologies. His research has accumulated meaningful citations and demonstrates increasing visibility within the agricultural technology community. Dr. Tong actively collaborates with multidisciplinary teams and co-authors, supporting innovation at the intersection of artificial intelligence and modern aquaculture. His work on YOLO-based detection models, including applications for fish health monitoring, contributes to improving sustainability, efficiency, and early-warning capabilities in aquatic farming systems. Through his research, he promotes data-driven decision-making and enhances the technological transformation of agriculture.

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Izhar Ahmed | Engineering | Research Excellence Award

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Mr. Izhar Ahmed | Engineering | Research Excellence Award

Institute of geology and Geophysics, CAS | China

Mr. Izhar Ahmed is a geoscientist at the University of Chinese Academy of Sciences, Beijing, China, specializing in geomechanics, fault zone characterization, and tectonic processes. His research focuses on understanding the mechanical behavior of fault damage zones, particularly in the active Himalayas of Northern Pakistan, providing critical insights into rock strength, seismic hazards, and earthquake risk mitigation. To date, he has authored six peer-reviewed publications, which have garnered 36 citations, reflecting the significance of his contributions in Earth sciences. Dr. Ahmed has collaborated with 19 international researchers, fostering interdisciplinary studies that integrate field investigations, laboratory analyses, and computational modeling. His work has practical implications for infrastructure safety, natural hazard assessment, and geotechnical engineering in seismically active regions. Through rigorous research and global collaborations, Dr. Ahmed continues to advance knowledge in geomechanics and tectonics, demonstrating both scientific excellence and societal relevance in addressing complex geological challenges.

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Yong Xu | Engineering | Research Excellence Award

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Mr. Yong Xu | Engineering | Research Excellence Award

Associate Researcher | Aerospace Technology Institute of CARDC | China

Dr. Yong Xu is a researcher specializing in intelligent sensing, autonomous systems, and advanced signal processing, with a particular focus on drone vision systems and radar-based environmental perception. His research integrates computer vision, machine learning, and adaptive signal normalization techniques to enhance the reliability, efficiency, and resilience of autonomous aerial and maritime systems in complex real-world environments. Dr. Xu has authored several high-impact publications, including An Air-to-Ground Visual Target Persistent Tracking Framework for Swarm Drones (Automation) and Adaptive Clustering-Based Marine Radar Sea Clutter Normalization (Journal of Sensors), showcasing his expertise in persistent target tracking, swarm coordination, and environmental noise reduction. These works demonstrate his ability to bridge theoretical innovation with practical engineering solutions, improving both sensor performance and system-level autonomy. Throughout his career, Dr. Xu has collaborated extensively with interdisciplinary teams, including researchers such as Shuai Guo, Hongtao Yan, An Wang, Tao Jia, Dong Cao, Pengyu Guo, Yue Ma, Tian Yao, and Jaime Lloret, highlighting his strong engagement in international and cross-institutional research. His contributions support real-world applications in autonomous drone navigation, maritime surveillance, environmental monitoring, and defense technologies, promoting safer and more efficient operational systems. By advancing methodologies for persistent tracking and adaptive radar signal processing, Dr. Xu’s research contributes significantly to the fields of robotics, unmanned systems, and intelligent sensing, offering societal benefits in areas such as public safety, disaster monitoring, and infrastructure protection, while reinforcing the development of next-generation autonomous technologies on a global scale.

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Featured Publications

1. Xu, Y., Guo, S., Yan, H., Wang, A., Ma, Y., Yao, T., & Song, H. (2025). An Air‑to‑Ground Visual Target Persistent Tracking Framework for Swarm Drones. Automation, 6(4), 81. https://doi.org/10.3390/automation6040081 MDPI

2. Xu, Y., Jia, T., Cao, D., Guo, P., Ma, Y., & Yan, H. (2021). Adaptive Clustering‑Based Marine Radar Sea Clutter Normalization. Journal of Sensors, 2021, Article 2938251 (11 pages). https://doi.org/10.1155/2021/2938251

Jia Jinlong | Engineering | Research Excellence Award

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Assoc. Prof. Dr. Jia Jinlong | Engineering | Research Excellence Award

Head of the Mining Department | Wuhan Institute of Technology | China

Dr. Jinlong Jia is a researcher at the Lanzhou Institute of Technology, China, specializing in coal engineering, gas extraction technologies, and energy-related geomechanics with a focus on improving safety, efficiency, and sustainability in coal mining operations. With 24 scientific publications, 434 citations, and an h-index of 12, he has established a strong research profile in the fields of coal pore structure evolution, borehole optimization, and fluid–rock interactions under complex geological conditions. His recent work includes developing numerical simulation models to quantitatively evaluate effect factors in multi-branch pinnate borehole gas extraction in high-gas thick coal seams, and investigating the influence of CO₂–H₂O interaction time on coal pore morphology and water migration, published in Energy and already earning citations for its contributions to clean energy and mine safety. Dr. Jia’s research integrates computational modeling, experimental coal chemistry, and engineering applications to address critical challenges in methane extraction, gas-solid coupling mechanisms, and geological hazard prevention. Over his career, he has collaborated with more than 67 co-authors, demonstrating extensive engagement in multidisciplinary and multi-institutional research teams working across geology, mining engineering, and energy science. His findings contribute to national and global efforts toward safer mining environments, enhanced gas utilization, reduced greenhouse gas emissions, and improved resource recovery efficiency. Through advancing both theoretical understanding and practical solutions in coalbed methane extraction and pore-scale mechanisms, Dr. Jia continues to play a significant role in supporting sustainable energy development and improving engineering practices within the mining and geoscience sectors.

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Featured Publications

Zhu, X., Jia, J., Zhang, L., Ma, Z., Qin, Z., Zhang, H., & Liu, Z. (2025). Study on the numerical simulation model for quantitative evaluation on effect factors of multi‑branch pinnate borehole gas extraction in high‑gas thick coal seams. Himalayan Geology, 46(2), 125–135.

Xu, H., Hu, J., Liu, H., Ding, H., Zhang, K., Jia, J., Fang, H., & Gou, B. (2024). Effect of the interaction time of CO₂–H₂O on the alterations of coal pore morphologies and water migration during wetting. Energy, 294, Article 130944. https://doi.org/10.1016/j.energy.2024.130944