Machine learning; probabilistic graphical models; anomaly detection; human-in-the-loop learning; computational sustainability.
Weng-Keen Wong is an associate professor of computer science at Oregon State University. He received his Ph.D. (2004) and M.S. (2001) in computer science at Carnegie Mellon University, and his B.Sc. (1997) from the University of British Columbia. His research areas are in data mining and machine learning, with specific interests in anomaly detection, surveillance algorithms, and mining large scale datasets. His Ph.D. thesis was entitled "Data Mining Algorithms for the Early Detection of Disease Outbreaks" and he is involved in the field of disease outbreak surveillance.