Guest Seminar by Professor Kyung Hwa Cho from Korea University – Data-Driven Environmental Engineering: From Experiment to Intelligence​

Professor Kyung Hwa Cho and his students visited HKUST CBE and presented their work on various environmental engineering technologies applying reinforcement learning control of membrane capacitive deionization, multi-agent optimization of two-stage reverse osmosis, AI-based management of off-grid green hydrogen production, and graph-based AI and explainable machine learning.

Environmental engineering is advancing from experiment-based analysis to intelligent prediction, optimization, and autonomous control. Artificial intelligence integrates real-time measurements, numerical models, and engineering knowledge to improve the performance, reliability, and adaptability of environmental and energy systems. By learning from complex datasets, these tools can support faster decisions while reducing experimental demands and operating costs.

Prof. Alicia's group exchanged ideas with the guests and shared research progress.