William Hsu, PhD

Professor of Computer Science
Kansas State University


Professor William 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 deep learning and other machine learning methods 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 anomaly detection, cybersecurity, computer vision, natural language processing (NLP), affective computing, robotics and autonomous agents, cyber-physical systems, the internet of things (IoT) and wearable sensors, epidemiology, heterogeneous information networks, education research in science, technology, engineering, and mathematics (STEM), and AI safety, security, and ethics.

Hsu has authored more than 19 journal articles and book chapters, 60 refereed conference and workshop papers, and has edited two books. He has been cited more than 1,600 times with an h-index of 20 and an i-10 index of 37 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, including those of KDD, UAI, and GECCO. He has graduated eight doctoral students and more than 70 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.

Education & Training

PhD: University of Illinois at Urbana-Champaign (1998)

MS: Johns Hopkins University (1993)
BS: Johns Hopkins University (1993)