Wei Wang | Biophotonics Systems Integration | Excellence in Research Award

Dr. Wei Wang | Biophotonics Systems Integration | Excellence in Research Award

Dr. Wei Wang | Guangdong Ocean University | China

Wei Wang, Ph.D., is a dedicated faculty member at the College of Shipbuilding and Marine Transportation at Guangdong Ocean University and serves as the Executive Secretary of the Guangdong Provincial Key Laboratory of Intelligent Equipment for South China Sea Marine Ranching. His work spans marine science with a focus on marine engineering and technology, micro-nano manufacturing, marine sensing, and fluid mechanics, particularly micro-nano fluid systems. Dr. Wang’s academic journey includes earning a bachelor’s degree from Dalian Maritime University, a master’s degree from Jimei University, and a doctoral degree from Guangdong Ocean University, providing him with a strong interdisciplinary foundation for exploring emerging challenges in the marine field. He has played an active role in advancing innovative technologies for marine ranching, intelligent ocean equipment, and precision sensing systems, contributing significantly to the development of next-generation marine engineering tools. Dr. Wang has completed and continues to lead several research projects aimed at improving marine equipment performance, enhancing environmental adaptability, and promoting sustainable ocean resource utilization. Through his academic contributions, research leadership, and commitment to technological innovation, he consistently supports the strategic development of marine science and engineering in South China, while fostering collaboration and knowledge exchange within the broader ocean research community.

Profile: Orcid

Featured Publications

Wang, W., Yan, J., Wang, J., Wang, Y., Chen, G., Weng, Z., Pang, H., Wang, X., & Zhang, D. (2025). A review of the application of compliance phenomenon in particle separation within microfluidic systems. Micromachines, 16(10), 1115.

Chen, G., Yan, J., Liang, J., Zheng, J., Wang, J., Pang, H., Wang, X., Weng, Z., & Wang, W. (2025). Advances in wettability-engineered open planar-surface droplet manipulation. Micromachines, 16(8), 893.

Wang, W., Chen, G., Yan, J., Zhang, G., Weng, Z., Wang, X., Pang, H., Wang, L., & Zhang, D. (2025). Research on the power generation performance of solid–liquid triboelectric nanogenerator based on surface microstructure modification. Nanomaterials, 15(11), 872.

Sheng, Y., Sun, Y., Yan, J., Wang, W., Tan, S., Lin, Y., Wang, H., Liu, Y., Xie, B., & Sun, X. (2025). Microwave-assisted doping engineering construction of spinel-structured nonstoichiometric manganese cobaltite with mixed 1D/2D morphology for supercapacitor application. Molecules, 30(4), 873.

Wang, W., Yan, J., Wang, X., Pang, H., Sun, C., Sun, Y., Wang, L., & Zhang, D. (2025). Research on the performance of a liquid–solid triboelectric nanogenerator prototype based on multiphase liquid. Micromachines, 16(1), 78.

Yoongun Jung |Biophotonics Systems Integration | Research Excellence Award

Mr. Yoongun Jung | Biophotonics Systems Integration | Research Excellence Award

Mr. Yoongun jung | Korea University | South Korea

Mr. Yoongun Jung is an emerging researcher in Electrical Engineering, currently pursuing an M.S.–Ph.D. integrated program at Korea University, Seoul (2021–2027), after completing his B.S. in Electrical Engineering from the same institution in 2021. His research focuses on cutting-edge domains including AI applications in power systems, HVDC control, and energy management systems, contributing to intelligent, secure and sustainable power infrastructures. Demonstrating strong academic and research excellence, he has received several prestigious recognitions, beginning with an Excellence Award at the Kepco Creative Innovation Idea Contest in 2020 for his work on deep learning-based frequency response prediction. His impactful research has earned multiple Conference Best Paper Awards, including contributions on adaptive Volt–Var control using multiagent deep reinforcement learning (KIEE PES 2021, Jeju), cost-effective dynamic multi-microgrid formulation (KIEE Power System Research Association, 2023, Jeju), and transient stability data-driven special protection schemes using reinforcement learning (First Best Paper Award, ICRERA 2024, Japan). In addition, he has been recognized at IEEE Student Paper Awards for innovations such as solar power prediction using LGBM (2021), dynamic multi-microgrid formulation using spanning tree algorithms (2022), and federated reinforcement learning-based AGC algorithms, which won the Best Paper Award at the KIEE PES North America Chapter Meeting in 2025. Through his prolific research achievements, Mr. Jung continues to advance intelligent energy systems and contribute significantly to the future of smart power engineering.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

“Enhancing frequency stability with decentralized adaptive control using multi-agent deep reinforcement learning of multi-VSGs”, S Kang, Y Jung, D You, G Jang, International Journal of Electrical Power & Energy Systems 172, 2025.

“Cost-Effective automatic generation control for Renewable-dominated grids: Multi-Agent deep reinforcement learning approach”, Y Jung, S Kang, J Cha, S Song, M Yoon, G Jang, International Journal of Electrical Power & Energy Systems 173, 2025.

“Coordinate control of multi-infeed VSC-HVDC for enhancing power system reliability”, K Kim, Y Jung, M Chang, J Cha, S Kang, H Ku, G Kwon, M Yoon, G, Jang International Journal of Electrical Power & Energy Systems 166, 2025.

“Physics-informed neural network-based VSC back-to-back HVDC impedance model and grid stability estimation”, M Chang, Y Jung, S Kang, G Jang, Electronics 13 (13), 2024.

“Transient Stability Data Driven Special Protection Scheme Using Deep Reinforcement Learning”, Y Jung, S Kang, K Kim, H Woo, S Choi, G Jang, S Song, M Yoon 2024, 13th International Conference on Renewable Energy Research, 2024.