Zhaoxia Duan | Robotics and Automation | Best Researcher Award

Published on by Scientific World Research Awards

Assoc. Prof. Dr. Zhaoxia Duan | Robotics and Automation | Best Researcher Award

Associate Professor | Hohai University | China

Assoc. Prof. Dr. Zhaoxia Duan is a distinguished researcher whose academic journey began with a B.Sc. in Automation (2007-2011) and a Ph.D. in Control Science and Engineering (2011-2017) from Nanjing University of Science and Technology, including a visiting research fellowship at Shibaura University of Technology in Japan (2013-2014). Currently a tenured associate professor at the School of Artificial Intelligence and Automation, Hohai University, she earlier served as a lecturer in the College of Energy and Electrical Engineering (2017-2023) and has also been a postdoctoral researcher at the School of Mathematics, Southeast University since 2019. Her research interests encompass multi-agent network systems, path planning for robots and autonomous underwater vehicles (AUVs), multi-dimensional / 2D system theory and applications, switching system theory, and positive system theory; she has developed strong research skills in stability analysis, finite-frequency control, fuzzy hybrid system modeling, fault detection observers, optimization via machine-learning (e.g. multi-objective PSO + Q-learning), and observer/controller synthesis for 2D positive / Markov jump / delayed / hybrid systems. Over her career, she has led multiple funded projects including national, postdoctoral, and central university grants, supervised research, and contributed to theoretical advances in control and automation. Her publication record is robust, with over 30+ journal articles, two authorized invention patents, and the compilation of a university textbook. She has been recognized with numerous awards and honors such as teaching excellence, thesis supervision awards, lecture competition prizes, and reviewer excellence. According to Scopus metrics, she has authored approximately 64 documents, has received around 710 citations, and has an h-index of 17. In conclusion, Dr. Duan is a well-rounded scholar who bridges rigorous theoretical research with practical intelligent automation applications, and continues to make impactful contributions to control theory, robotics and multi-agent systems.

Profile: Scopus 

Featured Publications

Duan, Z., Zhang, Y., Xu, Z., & Xiang, Z. (2025). Path planning problem in rough terrain by multi-objective PSO algorithm combined with Q-learning and crossover operator. Applied Soft Computing Journal, 184, 113798.

Duan, Z., Fu, Y., Wang, R., & Xiang, Z. (2025). l₁-gain control for delayed 2-D Markov jump positive systems in the Fornasini–Marchesini model. Journal of the Franklin Institute, 362(13), 107907.

Duan, Z., Zhang, Y., Wang, R., Xu, Z., & Xiang, Z. (2025). Robot path planning in rough terrain based on multi-objective crossover-mutation particle swarm optimization. Evolutionary Intelligence, 18, 64.

Duan, Z., Shao, Z., & Xiang, Z. (2025). A collaborative command and allocation model for manned and unmanned maritime forces. Journal of Army Engineering University of PLA, 3(4), 98–104. (In Chinese).

Duan, Z., Chu, C., Ghous, I., & Xiang, Z. (2024). On the l∞-gain of 2-D positive Roesser systems with bounded time-varying delays. Journal of the Franklin Institute, 361, 106819.

 

Keun Chang Kwak | Robotics and Automation | Best Researcher Award

Published on by Scientific World Research Awards

Prof. Keun Chang Kwak | Robotics and Automation | Best Researcher Award

Professor | Chosun University | South Korea

Professor Keun-Chang Kwak is a distinguished researcher in the fields of computational intelligence, biometrics, and robotic vision systems, with extensive expertise in granular and neuro-fuzzy modeling, face and speaker recognition, knowledge extraction, behavior recognition, and auditory signal processing. He earned his Ph.D. in Electrical Engineering from Chungbuk National University, Korea, in 2002, following an MS in 1998 and a BS in 1996 from the same institution. Over his career, Prof. Kwak has held several prominent positions, including Professor at Chosun University, Korea (2007–present), Visiting Professor at California State University Fullerton, USA (2014–2015), Senior Researcher at the Intelligent Robot Research Division, Electronics and Telecommunications Research Institute (ETRI), Korea (2005–2007), and Postdoctoral Fellowships at the University of Alberta, Canada (2003–2005) and Chungbuk National University, Korea (2002–2003). He has also served as Project Manager of the AI Convergence University Project Division (2021–present) and Vice Director of the National Center of Excellence in Software at Chosun University (2018–2020), leading numerous national and international research initiatives. His research interests include computational intelligence, deep learning, speech emotion recognition, ECG-based biometrics, human-robot interaction, and knowledge extraction using fuzzy clustering. Prof. Kwak’s prolific publication record includes 138 Scopus-indexed documents, 1,667 citations, and an h-index of 21, reflecting high-impact contributions to journals such as IEEE Access, Applied Sciences, Electronics, and Sensors. He has led and mentored research teams, collaborated internationally, and contributed significantly to the robotics and AI communities. Prof. Kwak’s achievements are recognized through multiple awards, leadership roles, and professional memberships, highlighting his influence on research, education, and technology advancement. His work demonstrates exceptional innovation, academic excellence, and the potential to drive future breakthroughs in AI, robotics, and computational intelligence, making him highly deserving of the Best Researcher Award.

Profiles: Scopus | Google Scholar

Featured Publications

  1. Pedrycz, W., & Kwak, K. C. (2006). Linguistic models as a framework of user-centric system modeling. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 36(2), 187–200. [Citations: 187]

  2. Kwak, K. C., & Pedrycz, W. (2005). Face recognition using a fuzzy fisherface classifier. Pattern Recognition, 38(10), 1717–1732. [Citations: 185]

  3. Kwak, K. C., & Pedrycz, W. (2007). Face recognition using an enhanced independent component analysis approach. IEEE Transactions on Neural Networks, 18(2), 530–541. [Citations: 167]

  4. Byeon, Y. H., Pan, S. B., & Kwak, K. C. (2019). Intelligent deep models based on scalograms of electrocardiogram signals for biometrics. Sensors, 19(4), 935. [Citations: 138]

  5. Kwak, K. C., & Pedrycz, W. (2005). Face recognition: A study in information fusion using fuzzy integral. Pattern Recognition Letters, 26(6), 719–733. [Citations: 112]