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Computer Science

William Hsu | Professor

Photo of Bill HsuPh.D. - 1998, University of Illinois at Urbana-Champaign
Computer Science
M.S. - 1993, Johns Hopkins University
Computer Science
B.S. - 1993, Johns Hopkins University
Computer Science and Mathematical Sciences
Contact Information
2164 Engineering Hall
785-236 8247
Professional Experience
William Hsu received a dual master’s/bachelor’s degree in computer science and mathematics from Johns Hopkins University in 1993, and a doctoral degree in computer science from the University of Illinois at Urbana-Champaign in 1998. From 1998 to 1999, Hsu was a research scientist at the National Center for Supercomputing Applications. In July 1999, Hsu joined the department of computing and information sciences at K-State. Hsu was promoted to associate professor with tenure in 2006 and full professor in 2016. 

Hsu’s research interests center around machine learning, probabilistic reasoning, and data science with applications to development of artificial intelligence (AI) methods for spatial informatics, social informatics, and predictive analytics. Hsu’s current and recent research in this area have been focused on inductive machine learning for detection and tracking of topics, events, sentiment, and expertise over time from text and from georeferenced information sources; change of representation and control of inductive bias via unsupervised, semisupervised, and reinforcement learning; and applications of AI to the internet of things (IoT) and wearable sensors, epidemiology, heterogeneous information networks, and education research in science, technology, engineering, and mathematics (STEM).

Academic Highlights
Hsu has authored more than 16 journal articles and book chapters, 50 refereed conference and workshop papers, and has edited two books. He has been cited more than 1,400 times with an h-index of 19 and an i-10 index of 35 according to Google Scholar. Hsu has been the chair of several workshops at IJCAI, AAAI, and KDD and has served on dozens of conference program committees. He has graduated four doctorate students and more than 50 master’s students. Hsu is the adviser for the K-State Association for Computing Machinery Special Interest Group in Artificial Intelligence (ACM SIGAI) and was on the editorial board for Intelligent Data Analysis journal from 1999 – 2005.