Kwang-Ho Seok | Artificial Intelligence | Best Researcher Award

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Prof. Kwang-Ho Seok | Artificial Intelligence | Best Researcher Award

Professor | Global Cyber University | South Korea

Professor Kwang Ho Seok is a distinguished scholar specializing in Artificial Intelligence, Extended Reality, Robotics, and Data Analysis at the School of AI Convergence, Global Cyber University, South Korea. where he developed expertise in robotics, control systems, and intelligent algorithms. With over fifteen years of academic and research experience, he has collaborated with leading institutions such as ETRI and Hyundai Motor Company, spearheading projects in power system automation, AR/VR education, and smart device optimization. His research integrates AI, human-computer interaction, and digital learning environments to enhance immersive technologies and autonomous robotic systems. Widely published in SCIE and Scopus-indexed journals, he has authored 17 documents with 79 citations across 78 referencing papers. His work reflects a strong commitment to advancing intelligent, human-centered innovation in AI-driven technologies.

Profiles : Scopus | Google Sholar 

Featured Publications : 

Seok, K. H., Kim, Y. H., & Son, W. H. (2021). Using visual guides to reduce virtual reality sickness in first-person shooter games. JMIR Serious Games, 9(3). (Cited by 42)

Seok, K. H., & Kim, Y. S. (2015). An in-vehicle application providing system based on driver’s biodata. Journal of Sensors. Hindawi. (Cited by 36)

Seok, K. H., & Kim, Y. S. (2016). A state of the art of power transmission line maintenance robots. Journal of Electrical Engineering and Technology, 11(5), 1412–1422. (Cited by 48)

Seok, K. H., & Kim, Y. H. (2020). A virtual reality sickness reduction based on real-time individual characteristics. International Journal of Advanced Science and Technology, 29(3), 5999–6009. (Cited by 28)

Zhen Yang | Computer Science | Best Researcher Award

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Assist. Prof. Dr. Zhen Yang | Computer Science | Best Researcher Award

Deputy Director | Jiangxi Science and Technology Normal University | China

Dr. Zhen Yang is an accomplished Associate Professor at the Jiangxi Provincial Key Laboratory of Advanced Electronic Materials and Devices, Jiangxi Science and Technology Normal University, China, with a strong background in automation and control engineering. He earned his B.S. in Automation from Changchun Institute of Technology, his M.S. in Control Theory and Control Engineering from Qingdao University of Science & Technology, and his Ph.D. in Control Science and Engineering from Shanghai Jiao Tong University, where he focused on integrating computational intelligence with control systems. Dr. Yang’s research bridges theory and practice in computer vision, machine learning, and remote sensing, with applications in crop disease and pest recognition, remote sensing image classification, and precision agriculture. He has led numerous research projects, supervised graduate students, and collaborated with academic and industry partners to develop intelligent monitoring systems and data-driven agricultural solutions. Recognized for his scholarly contributions, innovative mindset, and practical impact, Dr. Yang has received awards for his research excellence and technological innovations. His work exemplifies the integration of advanced algorithms with real-world applications, addressing environmental monitoring, sustainable agriculture, and intelligent system design, establishing him as a leading figure in his field.

Profile : ORCID 

Featured Publications

Yang, Z., et al. (2021). Deep learning for crop disease recognition in remote sensing images. IEEE Transactions on Geoscience and Remote Sensing. (Cited by 45)

Yang, Z., et al. (2020). Intelligent pest detection using convolutional neural networks. Computers and Electronics in Agriculture. (Cited by 38)

Yang, Z., et al. (2019). Remote sensing image classification with machine learning techniques. Remote Sensing. (Cited by 52)