Kincho H Law

Kincho H Law
2:00 pm - 4:00 pm
Room 715, 7/F, Knowles Building, The University of Hong Kong, Pokfulam Road
Applications of AI and Machine Learning in Engineering
Professor Kincho H Law
Visiting Research Professor


Given the abundance of data collected each today, interest in AI (Artificial Intelligence) has recently experienced a resurgence. Data-driven AI (machine learning) has been applied to several new domains. The purpose of this presentation is to discuss the potential uses of machine learning techniques in order to build data-driven models for a variety of engineering applications. Selected examples are drawn from diagnostic, prognostic and control problems, such as (1) energy consumption analysis and tool condition monitoring in milling machine tools; (2) maximization of wind farm power production; and (3) identification of casting defects using transfer learning.

Tentative Schedule


Welcoming remarks by the Dean, FoA

Welcoming remarks by the Associate Dean (Research), FoA

Presentation of certificate of appreciation to Professor Kincho H Law by the Dean and photo taking

Presentation by Professor Kincho H Law


About the speaker

Kincho H. Law received his B.Sc. in Civil Engineering and B.A. in Mathematics from the University of Hawaii in 1976, and M.S. and Ph.D. in Civil Engineering from Carnegie Mellon University in 1979 and 1981, respectively. After serving as Assistant Professor at Rensselaer Polytechnic Institute from 1982 to 1988, he joined Stanford University in 1988 and currently serves as Professor of Civil and Environmental Engineering. Prof. Law’s professional and research interests focus on computational and information science in engineering.  His research has dealt with various aspects of high performance computing; sensing, monitoring and control of engineering systems; legal and engineering informatics; enterprise integration; smart manufacturing; web services, cloud and Internet computing. He has authored and co-authored over 400 articles in journals and conference proceedings.

Prof. Law was the recipient of the ASCE Computing in Civil Engineering Award in 2011. He has received a number of best paper awards from ASCE, ASME, IEEE and Digital Government Society; these include Best Paper (on Data Analytics for Advanced Manufacturing) at IEEE Big Data Conference in 2016, Best Paper at the ASME Manufacturing Science and Engineering Conference in 2015, Best Paper in the ASCE Journal of Computing in Civil Engineering in 2014, Best Research Paper (on Resilience and Smart Structures) at the International Workshop on Computing in Civil Engineering in 2013, Best Research and Practice Paper at 6th International Conference on Electronic Governance in 2012, Meritorious Paper at the 4th International Conference on Electronic Governance in 2010, Best Research Paper at the 9th International Conference on Digital Government Research in 2008, and others.  Prof. Law was elected as Distinguished Member of the American Society of Civil Engineers and as Fellow of the American Society of Mechanical Engineers in 2017.