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Shieu-Hong Lin teaches core courses on computer science and mathematics in the areas of algorithms, artificial intelligence, data science, game theory, machine learning, optimization, and programming. His computer science courses adopt an analysis-design-implementation paradigm to connect the understanding of analytical frameworks with hands-on problem-solving experiences. To keep students abreast of the latest development in the fields, he often brings in elements of his research into the upper-division courses. He encourages students to participate in research projects and has published research results jointly with students. He strives to help students cultivate a holistic perspective of faith and learning to embark upon successful careers and impact the world for Jesus Christ in workplaces.

Lin’s research interests include various topics on algorithms, artificial intelligence, machine learning, and operations research. He has been working on optimization problems regarding transportation networks, data analysis of social networks, probabilistic reasoning using belief networks, and automatic verification of temporal logic specifications. Lin has studied how to best manage routing information for optimal vehicle refueling in transportation networks. This was achieved by applying data structures and algorithms needed for implementing a system that can effectively maintain the routing and refueling information dynamically to minimize the fuel cost of point-to-point delivery by motor vehicles.