An enthusiast of Newton's laws of motion and AI.
An enthusiast of Newton's laws of motion and AI.
Master's Thesis Defense
Master's Thesis Defense
PhD Thesis Defense (my respected PhD advisors Yu-Jane Sheng & Heng-Kwong Tsao)
PhD Thesis Defense (my respected PhD advisors Yu-Jane Sheng & Heng-Kwong Tsao)
TKU PSE group with respected Professors Hsuan Chang & Yih-Hang Chen, my mentors in PSE
TKU PSE group with respected Professors Hsuan Chang & Yih-Hang Chen, my mentors in PSE
Respected Professor Liao-Ping Cheng, my mentor in polymer membranes.
Respected Professor Liao-Ping Cheng, my mentor in polymer membranes.

About Prof.

Yan-Ling Yang is an assistant professor in the Department of Chemical Engineering at National Taiwan University of Science and Technology. He received his PhD under the supervision from Profs. Yu-Jane Sheng and Heng-Kwong Tsao from the Department of Chemical Engineering, National Taiwan University in 2018. During his doctoral studies, he developed a custom parallelized mesoscale NPT dissipative particle dynamics algorithm to investigate the structural and mechanical properties of biomimetic membranes using molecular simulations.

  After completing his PhD, Dr. Yang pursued postdoctoral research from September 2018 to July 2020. During this period, he taught himself deep learning and atomic-scale molecular dynamics, applying these techniques to predict water-hydrocarbon and water-alcohol interfacial tensions and design biodegradable materials.

    In August 2020, Dr. Yang joined the Department of Chemical and Materials Engineering at Tamkang University. From 2020 to 2023, he collaborated with Professors Hsuan Chang and Yih-Hang Chen to develop artificial intelligence applications in process systems engineering. Beginning in 2022, he worked with Professor Liao-Ping Cheng on polymer thermodynamics and mass transfer theory, and the fabrication of PES, PLA, PVDF, and cellulose acetate membranes.

    Since August 2023, Dr. Yang has been teaching at the National Taiwan University of Science and Technology. His research interests include deep learning, deep reinforcement learning, physics-informed neural networks, symbolic regression, and large language model applications in process systems engineering (PSE) and molecular property prediction, and de novo molecular design. He collaborates with Professor Hao-Yeh Lee on PSE. He also collaborates with Professor Liao-Ping Cheng on the theoretical calculation and preparation of polymeric porous membranes for membrane separation, with Professor Chorng-Shyan Chern on solid polymer electrolytes, with Professor Hsiu-Mei Chen on biochips, with Professor Andrew E.-Y. Chuang and Dr. Chia-Hung Liu at Taipei Medical University on biomedical materials, and with Dr. Tzu-Yen Huang at the Australian Nuclear Science and Technology Organisation (ANSTO) on polymer thin films.