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.
