Władysław Papacz | Engineering | Research Excellence Award

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Prof. Dr. Władysław Papacz | Engineering | Research Excellence Award

University of Zielona Góra | Poland

Prof. Dr. Władysław Papacz is a researcher affiliated with Uniwersytet Zielonogórski, Poland, specializing in materials engineering, recycling technologies, and sustainable material development. With 10 publications, 27 citations, and an h-index of 3, he has contributed to applied research on the mechanical properties of recycled materials, particularly in transforming industrial cable waste into usable engineering products. His work integrates experimental analysis with sustainability-focused approaches, supporting the advancement of circular economy practices. Collaborating with a network of co-authors, his research holds societal significance by promoting resource efficiency, reducing environmental waste, and contributing to the development of eco-friendly engineering materials and sustainable industrial solutions.

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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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Shunming Li | Engineering | Research Excellence Award

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Mr. Shunming Li | Engineering | Research Excellence Award

Professor | Nantong Institute of Technology | China

Mr. Shunming Li is a senior researcher at Nantong University, China, specializing in intelligent fault diagnosis, vibration signal processing, rolling bearing health monitoring, and data-driven prognostics. He has published  323 peer-reviewed articles, 4,570 citations with an h-index of 34, demonstrating sustained scholarly impact. His research integrates deep learning, transfer learning, digital twins, and advanced signal denoising methods to address complex machinery health monitoring challenges under multi-operating and data-limited conditions. Dr. Li has developed interpretable and domain-adaptive diagnostic models that enhance fault detection accuracy and remaining useful life prediction. He maintains extensive national and international collaborations, having worked with over 250 co-authors across engineering disciplines. His contributions support safer, more reliable industrial systems and promote predictive maintenance strategies, delivering significant societal and economic benefits for smart manufacturing and infrastructure health management.

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Ali Bedii Candas | Engineering | Research Excellence Award

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Dr. Ali Bedii Candas | Engineering | Research Excellence Award

Head of Contracts | YDA Group | Turkey 

Dr. Candaş Ali Bedii is a researcher at the Middle East Technical University (METU), Ankara, Turkey, specializing in construction engineering, data analytics, and artificial intelligence. His work focuses on the application of machine learning and natural language processing to enhance automation and decision-making in construction contract management. He has authored 2 Scopus-indexed publications, which have collectively received 48 citations, with an h-index of 2, indicating the academic relevance and influence of his research. His scholarly contributions highlight the use of multilabel text classification to streamline coordination and review processes in complex construction projects. Through interdisciplinary collaboration, he integrates engineering knowledge with intelligent computational methods. His research supports more efficient, transparent, and reliable project delivery, contributing to reduced contractual disputes and improved risk management, thereby offering meaningful societal and industrial impact.

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Automated Identification of Vagueness in the FIDIC Silver Book Conditions of Contract


– Journal of Construction Engineering and Management, 2022

Diankai Kong | Machines | Research Excellence Award

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Mr. Diankai Kong | Machines | Research Excellence Award

Taiyuan University of Science and Technology | China

Mr. Diankai Kong is a researcher at Taiyuan University of Science and Technology, Taiyuan, Shanxi, China, with expertise in control engineering, mechanical systems, and industrial automation, focusing on advanced control strategies for complex electromechanical systems such as crane-suspended load dynamics, trajectory tracking, and system stability. He has authored a peer-reviewed article in Machines (MDPI), proposing a robust and practical control framework that enhances precision, safety, and operational efficiency in industrial load-handling systems. His research integrates control theory with mechanical engineering to address real-world industrial challenges, demonstrating strong interdisciplinary collaboration. The outcomes of his work are highly relevant to intelligent manufacturing, smart logistics, and automated lifting equipment, contributing to improved accuracy, reliability, and safety of industrial cranes. Through these contributions, his research supports safer working environments, reduced operational risks, higher productivity, and aligns with global efforts toward smart industry development and sustainable infrastructure advancement.

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Christian Schachtner | Computer Science | Research Excellence Award

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Prof. Dr. Christian Schachtner | Computer Science | Research Excellence Award

Professor of Business Informatics | RheinMain University of Applied Sciences | Germany

Dr. Christian Schachtner is a researcher at Fachhochschule Wiesbaden, Germany, specializing in safety culture, social impact assessment, and sustainable development in technical and organizational systems. His work bridges corporate social responsibility, environmental management, and smart district development, emphasizing practical solutions to complex societal challenges. According to Scopus, he has authored 23 scholarly publications, received 9 citations, and holds an h-index of 2. His recent research includes open-access work on the determinants of social impact through safety culture in technical organizations and scholarly contributions to book chapters on smart regional and district development initiatives. Dr. Schachtner actively collaborates with international researchers, supporting interdisciplinary perspectives and knowledge exchange. His research contributes to improving organizational governance, enhancing safety performance, and promoting socially responsible and sustainable practices across technical and socio-economic domains.

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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.

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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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