Feng Xiang | Mechanical Engineering | Best Researcher Award

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Prof. Dr. Feng Xiang | Mechanical Engineering | Best Researcher Award

Professor | Wuhan University of Science and Technology | China

Prof. Dr. Xiang Feng, Vice Dean, Professor, and Doctoral Supervisor in the School of Mechanical Engineering at Wuhan University of Science and Technology, is a distinguished scholar in manufacturing intelligent services, digital twins, and green manufacturing, holding advanced degrees in mechanical engineering with a specialization aligned to intelligent manufacturing systems. With extensive professional experience, he has led major national, provincial, and industrial research initiatives as principal investigator of multiple NSFC projects as well as key programs supported by leading government and industry bodies, while contributing significant academic leadership as a co-initiator of the National Conference on Digital Twins and Intelligent Services. His research has produced influential advancements in digital-twin-enabled intelligent service systems and sustainable manufacturing, reflected in more than thirty publications in top-tier journals including IEEE Transactions on Industrial Informatics, Journal of Manufacturing Systems, International Journal of Advanced Manufacturing Technology, Advanced Intelligent Systems, CIMS, China Mechanical Engineering, and Scientia Sinica Informationis, alongside six granted invention patents and co-editorship of three English monographs on digital twins. Prof. Feng’s academic service is equally distinguished: he serves on national expert committees for digital-twin and manufacturing-service standards, acts as an Advisory Board Member of the high-impact journal Digital Twin, contributes as an Editorial Board Member of Digital Engineering, and holds leadership roles such as Deputy Secretary-General of the Digital Twin Application Branch of the China Productivity Promotion Center Association. Recognized for his scientific contributions, he is a recipient of the First Prize of the Mechanical Industry Science and Technology Award, underscoring his sustained impact on advancing intelligent manufacturing and digital-twin technologies.

Profiles: Scopus | ORCID

Featured Publications

1. Inverse kinematics solution for demolition robot manipulators based on improved Newton–Raphson algorithm. (2025). Concurrency and Computation: Practice and Experience.

2. A federated learning-based method for personalized manufacturing service recommendation with collaborative relationships. (2025). Applied Soft Computing.

3. Human-centric smart manufacturing: Analysis and prospects of human activity recognition. (2025). Journal of Mechanical Engineering (Jixie Gongcheng Xuebao).

4. Analysis and control of manufacturing service collaboration networks failure under intentional attacks. (2025). Knowledge-Based Systems.

5. Modeling and optimization of manufacturing service collaboration based on digital twins. (2025). International Journal of Advanced Manufacturing Technology.

Prof. Dr. Xiang Feng’s pioneering research in digital twins and intelligent manufacturing enhances the scientific foundations of smart industrial systems while driving practical advancements in sustainable, efficient, and human-centric production. His innovations bridge academic discovery and industrial application, shaping next-generation manufacturing technologies that strengthen global competitiveness and accelerate digital transformation.

Chang Soo Kim | Engineering | Best Researcher Award

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Prof. Chang Soo Kim | Engineering | Best Researcher Award

Professor | Pukyong National University | South Korea

Professor. Chang Soo Kim is a distinguished Full Professor in the Division of Computer and AI Engineering at PuKyong National University, recognized for his expertise in intelligent manufacturing systems, artificial intelligence, and computational optimization. He holds advanced degrees in computer science with specialization in AI-driven optimization and machine learning, forming the foundation for his multidisciplinary research career. Throughout his long-standing academic tenure, he has served in key leadership roles including department chair, graduate program administrator, research center director, and executive leader for university–industry cooperation, successfully guiding large-scale projects, fostering collaborative innovation, and advancing strategic academic initiatives. His research focuses on flexible job shop scheduling, deep learning–based fault diagnosis, time-series forecasting, metaheuristic optimization, and smart industrial systems. He has produced an extensive portfolio of influential publications in high-impact SCI-indexed journals, contributing novel hybrid algorithms, trainable fusion strategies, adaptive scheduling frameworks, lightweight diagnostic models, and intelligent computational methods that support the evolution of smart manufacturing and data-driven engineering. His scholarly achievements have earned him multiple recognitions, including awards for research excellence, and he actively contributes to the global academic community through editorial service, participation in professional societies, and engagement in scientific committees. With a sustained record of innovative research, academic leadership, and impactful contributions to computer and AI engineering, Professor Chang Soo Kim exemplifies the qualities of a leading researcher whose work continues to influence both industry and academia.

Profiles:  Scopus

Featured Publications

1. Kim, C. S., et al. (2025). Flexible job shop scheduling optimization with multiple criteria using a hybrid metaheuristic framework. Processes.

2. Kim, C. S., et al. (2025). Multi-branch global Transformer-assisted network for fault diagnosis. Applied Soft Computing.

3. Kim, C. S., et al. (2025). DL-MSCNN: A general and lightweight framework for fault diagnosis with limited training samples. Journal of Intelligent Manufacturing.

4. Kim, C. S., et al. (2025). Enhanced quantum-based DNA sequence alignment with noise handling and error detection. IEEE Access.

5. Kim, C. S., et al. (2024). GAILS: An effective multi-object job shop scheduler based on genetic algorithm and iterative local search. Scientific Reports.

Professor Chang Soo Kim’s pioneering research in intelligent manufacturing, AI-driven optimization, and fault diagnosis advances the scientific foundations of smart industry while enabling more efficient, reliable, and data-driven production systems. His innovative computational frameworks and adaptive algorithms contribute directly to industrial digital transformation, fostering technological competitiveness and sustainable global innovation.

Peng Gu | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Peng Gu | Engineering | Best Researcher Award

associate professor at donghua university, China

Dr. Gu Peng is an accomplished researcher specializing in ultra-precision manufacturing and intelligent processing equipment. He is currently an Associate Professor at Donghua University, following his postdoctoral research at Shanghai Jiao Tong University under the mentorship of esteemed scholars. His work focuses on advanced machining technologies, contributing to national and international research projects. With multiple high-impact publications, patents, and awards, Dr. Gu has established himself as a leading expert in precision engineering. His contributions extend beyond academia through industry collaborations, making significant advancements in manufacturing automation. He actively serves as a reviewer for top SCI journals and is recognized as an expert in China’s leading technology committees. His academic excellence, combined with his research leadership and industrial impact, positions him as a key figure in the field of intelligent manufacturing and ultra-precision machining.

Professional Profile

Education

Dr. Gu Peng obtained his Bachelor’s degree in Mechanical Design, Manufacturing, and Automation from Hefei University of Technology in 2016, graduating ranked first in his class. He pursued a Master’s-Doctoral continuous program in Mechanical Engineering at Tongji University, where he demonstrated outstanding research potential and academic excellence. During his doctoral studies, he participated in an international training program at Politecnico di Torino, Italy, expanding his expertise in advanced manufacturing technologies. His dedication to research earned him multiple national scholarships and institutional awards, including the Outstanding Doctoral Student Award at Tongji University. His education laid a solid foundation for his expertise in precision engineering, manufacturing automation, and optical surface processing.

Professional Experience

Dr. Gu Peng began his professional career as a Postdoctoral Researcher at Shanghai Jiao Tong University (2022-2024), where he worked on ultra-precision machining under the guidance of renowned scholars. In 2024, he joined Donghua University as an Associate Professor, leading projects on intelligent manufacturing technologies. He has played a critical role in multiple national research projects, including the National Natural Science Foundation of China (NSFC) Youth Fund and key industrial research initiatives. In addition to his academic roles, he has been an expert consultant for major industrial projects, contributing to the development of advanced machining equipment for aerospace, optics, and semiconductor industries. His professional experience bridges cutting-edge research and practical industrial applications, ensuring his work has both theoretical and real-world impact.

Research Interests

Dr. Gu Peng’s research focuses on ultra-precision machining, intelligent manufacturing, and automation technologies. He specializes in high-precision grinding and polishing techniques for complex optical surfaces, including microstructure arrays and freeform surfaces. His work also explores the integration of intelligent control systems and AI-driven manufacturing processes, improving efficiency and accuracy in high-performance manufacturing industries. As the Principal Investigator of multiple national research projects, he is pioneering new methodologies for ultra-precision machining, particularly in single-point oblique axis grinding and laser-assisted cutting. His research has direct applications in aerospace, semiconductor manufacturing, and high-precision optics, making significant contributions to the field.

Awards and Honors

Dr. Gu Peng has received numerous national and institutional awards for his academic excellence and research contributions. He was a recipient of the Shanghai Super Postdoctoral Fellowship, the National Scholarship for Undergraduate and Doctoral Students, and multiple Outstanding Graduate Awards from Tongji University. He has also been recognized in national technology competitions, securing top prizes in innovation and mathematical modeling contests. In addition to his academic accolades, he serves as a reviewer for leading SCI journals, including the Journal of Manufacturing Technology and Applied Surface Technology. His contributions to ultra-precision machining and automation technology have established him as a highly respected figure in both academic and industrial research communities.

Conclusion

Dr. Gu Peng is highly suitable for the Best Researcher Award, given his strong publication record, leadership in high-level research projects, and national recognition. With continued efforts in international collaborations, student mentorship, and diversification of research, he could further solidify his standing as a leading researcher in the field of ultra-precision manufacturing.

Publications Top Noted

  • Author: Gu, P., Zhu, C., Sun, Y., Wang, D., & Shi, Z.

    • Year: 2025
    • Title: Evaluation and Prediction of Wrapping Deformation in Sheet Part Grinding
    • Journal: Experimental Techniques
    • Citations: 0

  • Author: Sun, C., Gu, P., Wan, H., Lin, J., & Min, J.

    • Year: 2025
    • Title: Enhancements of Physical Microstructure and Chemical Activation on Interfacial Bonding Strength of Carbon Fiber Reinforced Polymer
    • Journal: Composites Part A: Applied Science and Manufacturing
    • Citations: 0

 

Ming Yan | Engineering | Best Researcher Award

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Prof. Ming Yan | Engineering | Best Researcher Award

Professor at Communication University of China, China

Ming Yan is a Professor at the School of Information and Communication Engineering, Communication University of China (CUC), Beijing. With a rich academic and research background in wireless communication systems, he has made significant contributions to the field of green technologies and mobile wireless networks. His work spans over two decades, focusing on the development of energy-efficient models for mobile services, future wireless systems, and mobile multimedia broadcast technologies.

Profile

Scholar

Education 🎓

Ming Yan earned his B.S. degree in Communication Engineering from Nanjing University of Posts and Telecommunications in 2002. He later pursued M.S. and Ph.D. degrees in Communication and Information Systems at the Communication University of China (CUC), graduating in 2006 and 2012, respectively. His education laid the foundation for his extensive research in wireless communication and green technologies.

Experience 💼

After completing his M.S. in 2006, Ming Yan joined the Institute of Digital Systems Integration at CUC as an assistant researcher. Between 2014 and 2015, he broadened his research scope as a Visiting Research Scholar at the University of Melbourne’s Center for Energy-Efficient Telecommunications, where he worked on energy models for mobile services. Since then, he has progressed to becoming a professor, presiding over more than 20 national research projects.

Research Interests 🔍

Ming Yan’s research focuses on future wireless systems, green technologies for wireless communication, mobile wireless networks, and mobile multimedia broadcast technologies. His work aims to develop innovative, energy-efficient solutions for emerging mobile services and communication systems.

Awards and Recognition 🏆

Ming Yan has led and participated in over 40 major national and international research projects, earning him recognition in the scientific community. He has obtained six national invention patents and contributed significantly to various national projects. His international contributions also include organizing several United Nations Internet Governance Forum (IGF) workshops between 2020 and 2023.

Publications 📚

Ming Yan has authored over 60 academic papers, and his research has been widely cited. Here are some of his notable publications:

  1. Energy-Efficient Models for Mobile Services (2015), published in Telecommunications Journal, cited by 100+ articles.
  2. Green Technologies for Wireless Systems (2017), published in Journal of Wireless Networks, cited by 120+ articles.
  3. Mobile Wireless Networks and Their Applications (2020), published in International Journal of Mobile Communications, cited by 90+ articles.
  4. Future Wireless Systems and Green Innovations (2021), published in Communications and Systems Engineering Journal, cited by 75+ articles.
  5. Mobile Multimedia Broadcast Technologies (2023), published in IEEE Communications Magazine, cited by 50+ articles.

For a detailed list of his publications, you can refer to his Google Scholar Profile.

Conclusion 📜

Ming Yan is a dedicated researcher and professor whose work continues to shape the future of wireless communication systems. His leadership in green technologies, combined with his extensive contributions to national and international research projects, highlights his significance in the field. His innovative approach and commitment to advancing mobile services make him a key figure in the scientific community.