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 

He is a senior scholar in management science and engineering with extensive experience in research, teaching, and academic leadership at a leading research university. His academic background spans management, knowledge science, and information systems, providing a strong interdisciplinary foundation for both theoretical and applied research. His work primarily focuses on uncertain decision analysis, evaluation methodologies, and the integration of qualitative and quantitative approaches in management research. A significant portion of his research addresses technological innovation, new product development, service management, and quality management under uncertain and dynamic environments. He has made notable contributions to kansei engineering, computing with words, and consumer-oriented evaluation models, particularly in the context of product design, customer satisfaction, and innovation decision support. His research emphasizes the use of consumer demand, online reviews, and design thinking to support technological recombination and innovation strategies. As a principal investigator on multiple competitive research projects supported by major national and regional funding agencies, he has advanced methodological frameworks that bridge theory and real-world managerial practice. In teaching, he actively contributes to undergraduate, graduate, doctoral, and professional education, with a strong emphasis on research methodology, information systems, and managerial decision making.

Citation Metrics (Scopus)

1200
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0

Citations
662

Documents
46

h-index
15

Citations

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Featured Publications

Yinglong Li | Deep Learning | Research Excellence Award

Dr. Yinglong Li | Deep Learning | Research Excellence Award

Associate Professor | Zhejiang University of Technology |China

Yinglong Li demonstrates strong academic and research excellence, supported by a solid portfolio of publications, patents, and externally funded projects. His 22 SCI/Scopus-indexed journal papers, more than 140 Web of Science citations, and a steadily increasing h-index reflect both productivity and growing scholarly influence. His contributions are further validated through documented outputs such as two published textbooks (ISBN: 9787302557425, 9787115415400), ten patents, and verified academic profiles including Google Scholar and institutional webpages. Strengths include his ability to integrate privacy protection, deep learning, and computer vision into practical AI solutions, as evidenced by consultancy projects with industry partners in marine systems and smart security. His research has consistently translated into deployable, high-impact technologies, demonstrating maturity in innovation and applied problem-solving. Areas for improvement include expanding international collaborations, enhancing cross-disciplinary engagement with emerging domains such as trustworthy AI governance, and increasing participation in editorial boards or leadership roles in prestigious conferences, which would further elevate his global visibility. Moving forward, his research has strong potential to contribute significantly to privacy-preserving intelligent systems, multimodal vision architectures, and secure data ecosystems for smart cities. With a well-documented research track record, growing citation metrics, and scalable research themes aligned with global technological needs, he is positioned for continued advancement and wider impact in the AI research community.

Citation Metrics (Google Scholar)

240180

120

60

0

Citations
234

h-index
8

i10-index
6

Citations
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Featured Publications

Assist. Prof. Dr. Hyun-Seok Kim – Computer Science – Best Researcher Award 

Assist. Prof. Dr. Hyun-Seok Kim - Computer Science - Best Researcher Award 

Dept. of Information and Security at ICT Polytech Institute of Korea - South Korea

Author Profile 

GOOGLE SCHOLAR 

🎓 Early academic pursuits

Hyun-Seok Kim embarked on his academic journey with a bachelor’s degree in business management from the korea military academy in 2000. his growing passion for computing and security led him to pursue a master’s in computer science from korea university, completed in 2006. his master’s thesis, which analyzed security protocols using model checking, laid the groundwork for his further exploration into cryptographic systems. in 2009, he earned his ph.d. in computer science from the same institution, with a dissertation titled “cryptographic model and formal design for distributed network system.” during his formative academic years, he established a deep foundation in formal methods, secure system design, and the intersection of computing with national security.

💼 Professional endeavors

dr. kim has accumulated over two decades of professional experience in information security and auditing. from june 2012 to january 2023, he served as an it senior auditor and deputy director at the board of audit and inspection of the republic of korea. in this role, he led several critical national audits covering information protection, cyber safety, and system operations. his notable reports, including reviews of foreign ministry operations and financial sector cyber safety, contributed significantly to national cyber governance. since august 2023, he has taken on a leadership role as the head of the department of information security at ict polytechnic university in gwangju, gyeonggi-do, where he continues to drive research and curriculum advancement, integrating cross-disciplinary insights including areas like power electronics and secure hardware protocols.

🧠 Contributions and research focus

Dr. Kim’s core research revolves around security modeling, formal verification, and secure system architecture. his academic efforts have consistently bridged theory with practical application, focusing on critical areas such as wireless networks, iot, banking systems, and cloud infrastructure. through his rigorous verification techniques and cryptographic models, he has developed Computer Science robust frameworks to identify and mitigate system vulnerabilities. he also delves into security aspects of embedded systems, where topics like power electronics and secure circuit design are becoming increasingly relevant, especially within smart grids and industrial control systems.

🌍 Impact and influence

Hyun-Seok Kim’s work has played a pivotal role in shaping south korea’s public sector it governance. his detailed audit reports have influenced cyber safety protocols and security legislation at national and international levels. beyond policy influence, he has mentored students and professionals, promoting awareness of formal verification, ethical hacking, and critical system audits. Computer Science by integrating insights from adjacent fields such as power electronics, he encourages a broader, systems-level understanding of security in cyber-physical environments.

📚 Academic cites and achievements

Dr. Kim’s academic and governmental publications are frequently cited in the realms of computer security, auditing, and formal verification. he has co-authored at least 14 major audit reports, many of which have been used as reference documents for policy development in ministries like foreign affairs and finance. his patented technologies and cryptographic frameworks are also Computer Science gaining recognition in academic and industrial circles.

🧭 Legacy and future contributions

As he leads the department of information security at ict polytechnic university, dr. kim is focused on cultivating the next generation of cybersecurity experts. he aims to expand interdisciplinary collaboration, particularly in emerging areas like secure autonomous systems, where integration with power electronics is crucial. his vision includes creating resilient security models for future smart cities and industrial automation frameworks. with a legacy rooted in national service, academic excellence, and innovation, he is committed to advancing secure and trustworthy digital infrastructures.

Notable Publications 

  • Title: Bio-2FA-IoD: A Biometric-Enhanced Two-Factor Authentication Protocol for Secure Internet of Drones Operations
    Author(s): H.K.S. Park
    Journal: Mathematics (SCIE), Vol. 13, Issue 13, Article 2177, 2025

  • Title: Efficient and Scalable Authentication Framework for Internet of Drones (IoD) Networks
    Author(s): H. Kim
    Journal: Electronics (SCIE), Vol. 14, Issue 12, Article 2435, 2025

  • Title: Formal Analysis of E-Payment System based on 3-D Secure in Social Payment Environment
    Author(s): H. Kim
    Journal: IEEE SNAMS, 2024

  • Title: Enhancement of user authentication using biometrics in mobile networks
    Author(s): H.S. Kim
    Journal: ICCE-TW, 2024

  • Title: Security Enhancement of Biometric-Based Authentication Systems Using Smart Card
    Author(s): H. Kim
    Journal: IEEE ACCESS (SCIE), Vol. 12, Pages 174053–174065

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)