Hongbin Yan | Applied Soft Computing | Research Excellence Award

Prof.  Hongbin Yan | Applied Soft Computing | Research Excellence Award

School of Business, East China University of Science and Technology | China 

Yan Hongbin is a professor of Management Science and Engineering at East China University of Science and Technology (ECUST), where he also serves as a PhD supervisor. He earned a PhD from the Japan Advanced Institute of Science and Technology, following earlier degrees in management from Dalian University of Technology. His teaching covers management information systems, information system analysis and design, IT service management (for MBA students), and research methodology for master and doctoral students. His research centers on decision analysis under uncertainty, new product development, service and quality management, technological innovation, and Kansei (emotion-based) engineering. Over his career, he has authored many peer-reviewed journal and conference papers in outlets such as Computers & Industrial Engineering, Omega, IISE Transactions and others; his work has attracted substantial scholarly attention. According to his public academic profile, his publications have been cited hundreds of times, and his citation count on one platform exceeds seven hundred. Overall, his scholarly output and impact place him among the active contributors in the fields of management science and decision support.

Profile: ORCID 

Featured  Publications 

Yan, H.-B., Qu, L., & Huynh, V.-N. (2025).
A probability based linguistic decision making approach to reliable Kano model for classifying quality attributes. Applied Soft Computing, 114381.

Chen, Z., Zhou, X., Zhang, Z., Yan, H., Niu, X., & Li, Y. (2025).
Using the decomposed theory of planned behavior and a structural equation model with partial least squares to investigate construction and demolition waste reduction behavior. Journal of Construction Engineering and Management, 15810.

Wang, W., Li, Y., Yan, H., Zhao, W., Zhao, Q., & Luo, K. (2025).
A two-phase algorithm for the dynamic time-dependent green vehicle routing problem in decoration waste collection. Expert Systems with Applications, 125570.

Dr. Ajay K. Palit – Computational Intelligence – Best Researcher Award

Dr. Ajay K. Palit - Computational Intelligence - Best Researcher Award

University of Bremen - Germany

Professional Profile 

SCOPUS

EARLY ACADEMIC PURSUITS 🎓

Ajay K. Palit and Dobrivoje Popovic, distinguished scholars in the field of computational intelligence, began their academic journeys with a robust foundation in engineering and mathematics. Their early work laid the groundwork for their future contributions to the field of time series forecasting and industrial process control. Both scholars pursued advanced studies and research in their respective areas, developing a deep understanding of computational techniques and their applications in real-world scenarios.

PROFESSIONAL ENDEAVORS 🏢

Dr. Ajay K. Palit and Dr. Dobrivoje Popovic are both affiliated with the University of Bremen, Germany, where they continue to drive innovation in computational intelligence. Their professional careers are marked by significant roles in academia and industry, focusing on enhancing the effectiveness of time series forecasting through advanced computational techniques. Their expertise extends to the practical applications of these techniques in industrial systems and process control.

CONTRIBUTIONS AND RESEARCH FOCUS 🔬

Palit and Popovic have made notable contributions to the field of computational intelligence, particularly in time series forecasting. Their research encompasses a range of intelligent technologies, including neural networks, fuzzy logic, and evolutionary computation. They have pioneered hybrid computational approaches, such as neuro-fuzzy and transparent fuzzy/neuro-fuzzy modeling, which offer improved quality, Computational Intelligence model building, and predictive control in industrial processes. Their work addresses the challenges of on-line application and computational efficiency in industrial settings.

ACCREDITATIONS AND RECOGNITION 🏅

Their pioneering work has been widely recognized and has earned them respect in the academic and industrial communities. The book "Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications" by Palit and Popovic is acclaimed for its Computational Intelligence comprehensive exploration of intelligent technologies and their practical applications. The authors' contributions are integral to the ongoing development and refinement of computational tools used in industrial process control and forecasting.

IMPACT AND INFLUENCE 🌍

The influence of Palit and Popovic’s work extends across various industries, including manufacturing, process control, and research. By advancing computational intelligence techniques, they have significantly improved the ability to forecast and control industrial processes. Their research has helped bridge the gap between theoretical knowledge and practical application, making a tangible impact on industrial efficiency Computational Intelligence and predictive accuracy.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Ajay K. Palit and Dobrivoje Popovic continue to inspire and lead in their field, shaping the future of computational intelligence in time series forecasting. Their legacy is reflected in their innovative approaches and the ongoing relevance of their research in addressing complex industrial challenges. As they advance their work, they remain committed to exploring new computational techniques and applications, ensuring their contributions will have a lasting impact on the field.

NOTABLE PUBLICATIONS

Distributed RLGC transient model of coupled interconnects in DSM chips for crosstalk noise simulation 2008(8)