Dr. HEEJIN SHIM – Manufacturing – Best Researcher Award

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Dr. HEEJIN SHIM - Manufacturing - Best Researcher Award

Korea Institute of Fusion Energy - South Korea

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🎓 Early academic pursuits

Hee Jin Shim began her academic journey in mechanical engineering at hanyang university, republic of korea, where she earned her m.s. degree (2003–2005) and ph.d. degree (2005–2010). her graduate research emphasized fatigue, fracture, and reliability, focusing on mechanical system durability. her doctoral thesis, “a study on the durability evaluation with strain-hardening characteristics for cold forged pulley,” showcased advanced understanding in continuum mechanics, vibration fatigue, mechanical testing, and ut inspection, laying a solid foundation for high-level engineering applications, including power electronics systems where structural integrity is paramount.

💼 Professional endeavors

Shim’s career reflects a consistent evolution in the field of nuclear engineering and tokamak technology. from july 2010 to april 2014, she served as a senior researcher at kepco e&c co., inc., contributing to the continued operation and safety of phwr and candu plants, including fatigue assessments and system design for the apr+. since may 2014, she has been a pivotal member of the korea institute of fusion energy (kfe), advancing from the Manufacturing blanket technology team to the diagnostics & codac technology team. her current role as principal researcher within the tokamak engineering department highlights her leadership in fusion device components and system integration.

🔬 Contributions and research focus

Shim’s core research focuses on mechanical integrity assessment, particularly in fusion energy and nuclear systems. she has contributed significantly to manufacturing assessments, non-destructive evaluations (nde), and ultrasonic testing (ut) procedures for high-precision components such as shield blocks and diagnostic shield modules (dsm). her work ensures the reliability and safety of fusion devices, involving complex cad modeling (catia/enovia) and Manufacturing qualification of pic components. shim's cross-disciplinary expertise bridges material science, mechanical testing, and power electronics, particularly in harsh environments where component reliability is essential.

🌐 Impact and influence

Shim’s influence is most evident in her contributions to international fusion collaborations, especially in the iter project. her leadership in the development, supervision, and qualification of blanket shield blocks and dsm prototypes has helped standardize best practices for manufacturing and inspection in fusion engineering. shim’s efforts in integrating structural design with Manufacturing advanced ut procedures and environmental fatigue assessments have enhanced operational safety in both nuclear power plants and fusion reactors—key sectors increasingly integrated with power electronics for system control and diagnostics.

📚 Academic cites

While her research is deeply embedded in practical engineering applications, shim’s academic contributions are equally notable. her work on strain-hardening characteristics, fatigue monitoring systems, and non-destructive evaluation procedures continues to be cited in both academic and industrial literature. her collaboration in long-term government and energy projects has also led to technical documentation used in Manufacturing regulatory and development frameworks for next-generation reactors and tokamak systems.

🌟 Legacy and future contributions

Shim’s legacy is built on combining mechanical engineering precision with nuclear fusion innovation. as fusion energy moves toward commercialization, her ongoing work in codac technologies, system integration, and component durability will remain essential. her future pursuits likely include the refinement of inspection standards, the integration of smart diagnostics, and the development of components resilient to high-stress operational cycles—especially where power electronics and mechanical systems must seamlessly interact for safe energy conversion.

Notable Publications

  • Title: Manufacturing Assessment of the Simplified Full-Scale Prototype of Diagnostics Shield Module (DSM) for Application of ITER Upper Port 18
    Author(s): [Author information not provided in the available data]
    Journal: Fusion Engineering and Design, August 2025

  • Title: Corrigendum to “Shut-down dose rate analysis for final design of shielding tent in port interspace of ITER UP#18”
    Author(s): [Author information not provided in the available data]
    Journal: Fusion Engineering and Design, 2024

  • Title: Optimization of Processing Parameters in Deep Penetration Electron Beam Welding of Stainless Steel 316L for ITER Diagnostic Shield Module Application
    Author(s): [Author information not provided in the available data]
    Journal: IEEE Transactions on Plasma Science, 2024

  • Title: The Diagnostic Rack Design and the Functional Demonstration of the Locking Mechanism for ITER Diagnostic Lower Port Integrations
    Author(s): [Author information not provided in the available data]
    Journal: Fusion Engineering and Design, 2024

  • Title: A Comparison Study on the Derivation of In-Structure FRS During Seismic Events for Application of ITER Upper Port 18
    Author(s): [Author information not provided in the available data]
    Journal: Fusion Engineering and Design, 2023

Prof. Dr. Mehmet Bulent Durmusoglu – Industrial Engineering – Best Researcher Award 

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Prof. Dr. Mehmet Bulent Durmusoglu - Industrial Engineering - Best Researcher Award 

Istanbul Technical University - Turkey 

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GOOGLE SCHOLAR 

🎓 Early academic pursuits

Mehmet Bulent Durmusoglu began his academic journey at istanbul technical university, where he also earned his ph.d. in industrial engineering. from the outset, he displayed a keen interest in manufacturing systems, with a focus on optimizing production and service environments. his early studies laid a solid foundation in operations research, system design, and industrial optimization, inspiring his lifelong pursuit of creating more efficient and sustainable production frameworks. his academic curiosity and dedication quickly positioned him among the promising scholars in industrial engineering in turkey.

🚀 Professional endeavors

As an emeritus professor at istanbul technical university, durmusoglu has had a distinguished academic career marked by innovation, mentorship, and practical application. his teaching and research have been deeply rooted in the design and implementation of cellular and lean manufacturing systems, with an extension into service systems. over the years, he has authored 39 journal articles and contributed to 7 book chapters, firmly establishing his academic footprint. beyond academia, his engagement in over 45 consultancy and industrial projects has proven his ability to translate theoretical insights into real-world operational improvements.

🧐 Contributions and research focus

Durmusoglu's research focus centers on lean transformation and the integration of lean principles into both manufacturing and service sectors. his seminal work, "lean transformation journey: is transformation possible or just a dream?" captures the essence of his philosophy and practical experience in this field. through his projects, he has transformed approximately 25% of the Industrial Engineering companies he consulted into lean operations, proving the tangible value of his methodologies. his contributions have not only enriched academic discourse but have also significantly advanced lean practice and strategy implementation in diverse organizational contexts.

🏆 Accolades and recognition

His research has earned widespread recognition, reflected in an impressive h-index of 21 and an i-10 index of 40. his impact is further underscored by his numerous industrial consultancy projects, which have driven notable performance improvements across sectors. as the author of a leading book on lean transformation published by optimist publishing group, he has Industrial Engineering influenced both academic circles and business practitioners. his work continues to be cited by scholars and applied by professionals aiming to create agile, efficient, and customer-focused systems.

👨‍💼 Impact and influence

Durmusoglu's influence spans both the academic and industrial spheres. his guidance in 24 lean transformation projects and 21 performance enhancement initiatives has had a measurable Industrial Engineering impact on organizational efficiency. many companies have credited his strategic interventions for significant cost savings, process improvements, and workforce empowerment. he has served as a bridge between theory and practice, bringing lean philosophies into real-world settings and inspiring both students and industry professionals with his applied knowledge and transformative vision.

🌍 Legacy and future contributions

As a thought leader and educator, durmusoglu’s legacy lies in his unwavering commitment to lean principles and continuous improvement. even as an emeritus professor, he remains engaged in the field, mentoring future leaders and contributing to ongoing research. his future vision includes expanding the scope of lean thinking into emerging areas such as digital transformation and sustainable operations. his journey stands as a testament to how academic excellence can be harnessed to drive real-world change and build a culture of innovation, resilience, and operational excellence.

Notable Publications 

  • Title: Fuzzy multi-attribute equipment selection based on information axiom
    Author(s): O. Kulak, M.B. Durmuşoğlu, C. Kahraman
    Journal: Journal of Materials Processing Technology

  • Title: A complete cellular manufacturing system design methodology based on axiomatic design principles
    Author(s): O. Kulak, M.B. Durmusoglu, S. Tufekci
    Journal: Computers & Industrial Engineering

  • Title: Classification and modeling for in-plant milk-run distribution systems
    Author(s): H.S. Kilic, M.B. Durmusoglu, M. Baskak
    Journal: The International Journal of Advanced Manufacturing Technology

  • Title: A simulation-based methodology for the analysis of the effect of lean tools on energy efficiency: An application in power distribution industry
    Author(s): S. Baysan, O. Kabadurmus, E. Cevikcan, S.I. Satoglu, M.B. Durmusoglu
    Journal: Journal of Cleaner Production

  • Title: Advances in assembly line parts feeding policies: a literature review
    Author(s): H.S. Kilic, M.B. Durmusoglu
    Journal: Assembly Automation

Assoc. Prof. Dr. Chafaa Maatoug Hamrouni – Electric Vehicules- Robots- Computer sciences – Best Researcher Award

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Assoc. Prof. Dr. Chafaa Maatoug Hamrouni - Electric Vehicules- Robots- Computer sciences - Best Researcher Award

Taif University - khurma University Collegue - Saudi Arabia

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🎓Early academic pursuits

Dr. Chafaa Hamrouni embarked on his academic journey with a deep passion for telecommunications and intelligent systems. he pursued rigorous studies in electrical engineering, focusing on satellite communication technologies, fuzzy logic systems, and antenna networks. his early research laid the foundation for his future contributions to next-generation communication systems, including ultra-wideband (uwb) antennas, multiple-input multiple-output (mimo) systems, and femto-satellite communication networks.

🚀 Professional endeavors

Dr. Hamrouni is currently associated with taif university, where he actively contributes to cutting-edge research in satellite communications and artificial intelligence-driven networks. he has collaborated with esteemed institutions and researchers worldwide, leading multiple innovative projects. his expertise spans a broad spectrum, from designing advanced antenna networks for small satellites to optimizing power systems for pico-satellites. his professional journey is marked by an unwavering commitment to technological advancements in wireless communication and signal processing.

⚛️ Contributions and research focus

Dr. Hamrouni has made significant contributions to the field of wireless communications, with a particular emphasis on satellite and small-scale antenna systems. his research explores the development of uwb-mimo antenna arrays, metamaterial-based high-isolation antennas, and intelligent fuzzy logic controllers for smart mobility management. his groundbreaking work in Electric Vehicules- Robots- Computer sciences. energy harvesting relays and error-prone forwarding has provided new insights into optimizing coded cooperative communication. he has also developed innovative methodologies for congestion management in 6g networks and signal processing in mobile systems, pushing the boundaries of modern communication technology.

🏆 Accolades and recognition

Dr. Hamrouni's outstanding research has been published in renowned journals such as computers, materials & continua, international journal of advanced computer science and applications, and journal of multimedia information system. his work on nano-satellites for water quality management and autopilot systems for aircraft models has been widely recognized. he has received Electric Vehicules- Robots- Computer sciences. accolades for his contributions to signal processing, electromagnetic energy recovery, and intelligent electrical power subsystems for pico-satellites. his expertise is frequently sought in international conferences and symposiums, cementing his reputation as a leading researcher in the field.

🔄 Impact and influence

The impact of dr. hamrouni’s research extends far beyond academia. his work on fuzzy logic-controlled antenna networks has influenced the design of next-generation communication Electric Vehicules- Robots- Computer sciences. satellites, while his studies on femto-satellite applications have paved the way for innovative advancements in telecommunications. his contributions to homomorphic cryptosystems have also enhanced data security in cloud computing, ensuring safer and more reliable digital transactions. his influence is evident in the growing adoption of his methodologies in satellite communication and smart mobility management.

🌟 Legacy and future contributions

As a pioneer in the field of intelligent communication systems, dr. hamrouni continues to shape the future of satellite technology. his ongoing research in hierarchical fuzzy logic-based power subsystems for pico-satellites and new optimization techniques for mobile networks is expected to drive significant advancements. his legacy lies in his ability to merge artificial intelligence with satellite communication, creating efficient, high-performance networks for future generations. through his mentorship and collaboration with researchers worldwide, he is nurturing the next wave of innovators who will carry forward his groundbreaking work.

Notable Publications 

  • Title: Design and prototype of a flight microstrip antennas for the Pico satellite ERPSat-1
    Author(s): C. Hamrouni, B. Neji, A.M. Alimi, K. Schilling
    Journal: 2009 4th International Conference on Recent Advances in Space Technologies

  • Title: A new UWB-MIMO multi-antennas with high isolation for satellite communications
    Author(s): C. Abdelhamid, M. Daghari, H. Sakli, C. Hamrouni
    Journal: 2019 15th International Wireless Communications & Mobile Computing

  • Title: ERPSat-1 scientific pico satellite development
    Author(s): B. Neji, C. Hamrouni, A.M. Alimi, A.R. Alim, K. Schilling
    Journal: 2010 IEEE International Systems Conference

  • Title: Design and prototype of an image capturing and processing system for ERPSat-1 Pico Satellite
    Author(s): B. Neji, C. Hamrouni, A.M. Alimi, K. Schilling
    Journal: 2009 4th International Conference on Recent Advances in Space Technologies

  • Title: Hierarchical fuzzy-logic-based electrical power subsystem for PICO satellite ERPSat-1
    Author(s): B. Neji, C. Hamrouni, A.M. Alimi, H. Nakajima, A.R. Alim
    Journal: IEEE Systems Journal

Mr. Xiaopeng wang  – Intelligent Manufacturing – Best  Researcher Award 

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Mr. Xiaopeng wang  - Intelligent Manufacturing - Best  Researcher Award 

Hebei University of Science and Technology - China 

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🌟 Early academic pursuits

Xiaopeng wang embarked on his academic journey with a keen interest in welding engineering and materials science. he pursued his doctoral studies with a focus on innovative detection methods for welding defects, demonstrating a strong foundation in interdisciplinary research. his early academic work laid the groundwork for integrating deep learning algorithms with traditional welding technologies, showcasing his commitment to advancing this niche field.

🧑‍🏫 Professional endeavors

As an assistant professor at hebei university of science and technology, xiaopeng wang has contributed significantly to academia and industry. his professional career is marked by his expertise as an international welding engineer and his dedication to fostering innovation in welding defect detection. his collaborations with industry and academia reflect his role as a bridge between theoretical advancements and practical applications.

🔬 Contributions and research focus

Xiaopeng wang’s research explores the integration of deep learning with welding defect detection. his groundbreaking investigations on channel and spatial attention mechanisms have enhanced understanding of feature information entropy and improved model accuracy. his work demonstrates how attention mechanisms can amplify the focus on welding defect features, Intelligent Manufacturing leading to more precise detection and clustering of defects.

🏆 Accolades and recognition

Xiaopeng wang's contributions have earned him a respected reputation in his field. his research has been published in prestigious journals such as expert systems with applications and ndt&e international. with over 10 academic papers to his credit and a citation index of 40 on google scholar, Intelligent Manufacturing his work has gained significant acknowledgment from the scientific community.

🌍 Impact and influence

By advancing intelligent detection methods for welding defects, xiaopeng wang’s research has broad implications for both academic research and industrial applications. his insights into deep Intelligent Manufacturing learning and attention mechanisms have set new benchmarks in the field, improving defect detection processes and enhancing the efficiency and reliability of welding operations worldwide.

📚 Legacy and future contributions

Xiaopeng wang continues to push the boundaries of research, focusing on novel applications of deep learning in welding and materials science. his ongoing projects, supported by grants like the national natural science foundation of china (u2141216), reflect his dedication to pioneering advancements in his field. he aspires to mentor future researchers and foster global collaborations to expand the scope of intelligent welding technologies.

Notable Publications 

  • Title: Zoom in on the target network for the prediction of defective images and welding defects' location
    Author(s): Xiaopeng Wang, Baoxin Zhang, Xinghua Yu
    Journal: NDT & E International
  • Title: Image Analysis of the Automatic Welding Defects Detection Based on Deep Learning
    Author(s): Xiaopeng Wang, Baoxin Zhang, Jinhan Cui, Juntao Wu, Yan Li, Jinhang Li, Yunhua Tan, Xiaoming Chen, Wenliang Wu, Xinghua Yu
    Journal: Journal of Nondestructive Evaluation
  • Title: Understanding the effect of transfer learning on the automatic welding defect detection
    Author(s): Xiaopeng Wang, Xinghua Yu
    Journal: NDT & E International
  • Title: Binary classification of welding defect based on deep learning
    Author(s): Xiaopeng Wang, Xu Wang, Baoxin Zhang, Jinhan Cui, Xinpeng Lu, Chuan Ren, Weijia Cai, Xinghua Yu
    Journal: Science and Technology of Welding and Joining
  • Title: X-ray stress measurement process of aluminum alloy by analysis of the full width at half maxima
    Author(s): Xiaoyan Li
    Journal: (Not specified, please verify)

Dr. Zepeng Niu – Mechanical Engineering – Best Researcher Award 

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Dr. Zepeng Niu - Mechanical Engineering - Best Researcher Award 

Xi’an University of Architecture &Technology - China 

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Early academic pursuits 🎓

Zepeng Niu embarked on his academic journey at xi'an university of architecture and technology, where he earned a bachelor's degree in engineering in june 2018. his dedication to mechanical and electrical engineering led him to pursue a master’s degree at the same institution later that year. showing exceptional academic promise, he was selected in september 2019 for a direct doctoral program under the supervision of associate professor wang gengxiang. currently in his second year as a phd student, zepeng is delving deeply into the dynamics of flexible multibody systems and collision dynamics.

Professional endeavors 🛠️

During his doctoral studies, zepeng has contributed to advancing knowledge in mechanical and collision dynamics through collaborative research with esteemed professors and researchers. his work emphasizes both theoretical innovation and practical applications, particularly in multibody system dynamics. by engaging with cutting-edge problems in his field, he has positioned himself as a dedicated scholar with a focus on addressing engineering challenges.

Contributions and research focus 🔍

zepeng's research centers on flexible multibody system dynamics and collision dynamics, two critical areas in mechanical engineering. his significant contributions include developing improved analytical models and methodologies to address nonlinear behaviors in granular systems. his work has led to the creation of new Mechanical Engineering coefficients of restitution and enhanced methods like the improved craig–bampton approach, which have wide-ranging applications in durability and performance analysis of mechanical systems.

Accolades and recognition 🏅

zepeng’s contributions have been recognized through several impactful publications in prestigious journals such as mechanism and machine theory and powder Mechanical Engineering technology. his co-authored works introduce groundbreaking models for contact dynamics and analytical approaches to multibody systems. these accomplishments underline his growing reputation in the academic and engineering communities.

Impact and influence 🌍

zepeng's research has a transformative impact on understanding and predicting the behavior of complex mechanical systems. his innovative approaches to collision dynamics and multibody interactions are pivotal in advancing the durability and efficiency of engineered systems. his findings contribute not only to academia but Mechanical Engineering also to industries reliant on precise modeling and analysis.

Legacy and future contributions 🔮

as a promising researcher, zepeng niu is poised to leave a lasting legacy in mechanical engineering. his dedication to solving complex problems in dynamics and his innovative methodologies ensure his work will continue to influence the field. with a strong foundation and a forward-thinking approach, he is set to inspire future advancements in multibody system dynamics and beyond.

Notable Publications 

  • Title: Analysis of Nonphysical Attraction Force and New Coefficient of Restitution Based on a Nonlinear Viscoelastic Contact Model in Cohesionless Granular System
    Authors: Wang, G., Niu, Z., Cheng, F., Pan, Y.
    Journal: Mechanism and Machine Theory, 2024, Vol. 203, Article 105821
  • Title: Improved Craig–Bampton Method Implemented into Durability Analysis of Flexible Multibody Systems
    Authors: Wang, G., Niu, Z., Feng, Y.
    Journal: Actuators, 2023, Vol. 12(2), Article 65

Prof Dr. Chunbin Qin – Intelligent Optimization Control – Best Researcher Award

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Prof Dr. Chunbin Qin - Intelligent Optimization Control - Best Researcher Award

Henan University - China

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Early academic pursuits 🎓

Chunbin Qin embarked on his academic journey at Henan University, where he earned a B.S. degree in applied mathematics in 2009. His passion for engineering and mathematics led him to Northeastern University in Shenyang, China, where he pursued advanced studies. In 2014, he completed his Ph.D. in power electronics and power transmission, laying a solid foundation for his future research and professional endeavors.

Professional endeavors 🏢

Currently, Dr. Qin serves as a Professor at Henan University, where he shares his expertise and passion for adaptive dynamic programming and reinforcement learning with his students. He is also an active member of the Adaptive Dynamic Programming and Reinforcement Learning Professional Committee of the Chinese Society of Automation. His role in academia not only highlights his dedication to education but also reflects his commitment to advancing knowledge in his field.

Contributions and research focus 🔍

Dr. Qin’s research interests lie in adaptive dynamic programming, optimal control, and reinforcement learning, particularly in their industrial applications. His Intelligent Optimization Control innovative approaches aim to enhance system performance and efficiency across various sectors. By integrating theoretical concepts with practical applications, he is at the forefront of bridging the gap between academia and industry, fostering advancements in automation and control systems.

Accolades and recognition 🏅

Dr. Qin’s contributions to the field have not gone unnoticed. In 2016, he was honored with the “Excellent Doctoral Dissertation Award” by the China Association for Intelligent Optimization Control Artificial Intelligence, recognizing his significant research efforts during his doctoral studies. This accolade underscores his commitment to excellence and innovation in his research pursuits.

Impact and influence 🌍

Through his research and teaching, Dr. Qin has made a substantial impact on both academia and industry. His work in adaptive dynamic programming and Intelligent Optimization Control reinforcement learning is shaping the future of intelligent control systems, influencing the development of smarter technologies. By equipping students with the skills and knowledge necessary to tackle complex challenges, he is nurturing the next generation of engineers and researchers.

Legacy and future contributions 🔮

As Dr. Chunbin Qin continues his journey in academia, his legacy is poised to grow. His ongoing research efforts will likely lead to further advancements in adaptive control systems and their applications across various industries. With a commitment to innovation and excellence, Dr. Qin is not only contributing to his field but also inspiring future generations to pursue their passions in science and engineering.

Notable Publications 

Adaptive critic design for safety-optimal FTC of unknown nonlinear systems with asymmetric 2024

Adaptive event‐triggered safety control for multiplayer mixed zero‐sum game with partial inputs delay 2024

Barrier-Critic Adaptive Robust Control of Nonzero-Sum Differential Games for Uncertain Nonlinear 2024

Adaptive critic learning for event‐triggered safe control of nonlinear safety‐critical systems 2023

Reinforcement Learning-Based Decentralized Safety Control for Constrained Interconnected Nonlinear 2023