Education:
PhD, UNIVERSITY OF PITTSBURGH, 2020
M.S., TSINGHUA UNIVERSITY, 2015
B.S., TSINGHUA UNIVERSITY, 2011

Short Bio:
Dr. Liang Xuan joined NTU MAE family as an Assistant Professor in Digital Engineering & Smart Manufacturing in January 2024. He has an impressive background in Mechanical Engineering, having recently served as a Postdoc Research Fellow in the University of Maryland at College Park and the Carnegie Mellon University. He holds a Ph.D. in Mechanical Engineering from the University of Pittsburgh (2020), having received the M.S. and B.S. degree in 2015 and 2011, respectively, both from Tsinghua University, China.

With nearly 10 years of research experience, Dr. Liang has showcased his expertise in additive manufacturing (AM), computational mechanics, topology optimization, and machine learning (ML). Notably, Dr. Liang has been at the forefront of cutting-edge research, currently working in the field of artificial intelligence (AI)-enabled AM project. His current project focuses on ML-driven topological design and AM for metal heat exchangers.

Prior to his postdoc experience, Dr. Liang mainly worked on numerical simulation for metal AM process in the ANSYS Additive Manufacturing Research Lab (AMRL) at the University of Pittsburgh. He firstly developed the modified inherent strain method and successfully performed accurate and efficient simulation for metal AM processes that includes directed energy deposition (DED) and laser powder bed fusion (LPBF) process. His expertise also extends to multiphysics topology optimization for structure-acoustic and structure-fluid systems. Dr. Liang’s current and on-going work is targeted to combine structural design with AM process based on large-scale numerical simulation and ML. His group is devoted to developing new models and algorithms in the emerging research area of Industrial AI plus AM.