Department of Computer Science and Engineering

Kaur's research areas are human-centered artificial intelligence (AI), explainability and interpretability, and hybrid intelligence systems. She studies these areas in two ways: (1) critically evaluating existing systems and tools on meeting their intended goals; and (2) designing and building new systems that leverage human-centered cognitive, social, and organizational norms for human-machine collaboration. She applies these methods in a variety of…

Zhu-Tian's research seeks to augment human intelligence in everyday activities. He approaches this by studying data visualization, human-computer interactions, augmented/virtual reality, and the broader realm of visual computing. His recent work focuses on enhancing human-data and human-AI interactions in AR environments, with applications in sports, data journalism, education, and biomedicine. Ultimately, his research paves the way towards a vision…

As a visualization researcher, Wang created interactive visualization tools that enable humans to better interpret AI and generate insights from their data. Specifically, her research contributed interactive visualizations that explain AI models, and interaction mechanisms and algorithms that integrate real-time user feedback into AI models. 

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Sun’s group works at the intersection of machine learning, numerical optimization, computer vision, and data science, and our recent focus is to develop the theoretical and computational foundations of machine learning in general and deep learning in particular, as well as apply them to tackle challenging scientific, engineering, and medical problems. 

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Zhao’s research is in the areas of artificial intelligence, computer vision, machine learning, and AI for humans. In particular, her group provides theoretical foundations in computer vision, invents application-specific machine learning methods, and develops trustworthy systems that leverage both artificial and human intelligence. Our recent focus includes understanding neural networks, and innovating explainable…

Janardan's research interests center around the design and analysis of efficient algorithms for representing, reasoning about, and manipulating large numbers of discrete geometric entities (e.g., points, line-segments, polygons, and polytopes) that have spatiotemporal attributes. Questions of interest concern intersection, containment, proximity, similarity, spread, shape, etc., and are motivated by applications in domains as diverse as computer-aided…

Wrenn’s teaching philosophy involves presenting the material to students to create an interest in the field of computer science and to present it in a manner that can be understood. He loves teaching problem-solving and incorporating multiple teaching strategies for the visual learner, the auditory learner, the reading/writing learners, and the active learners. 

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Wendt’s teaching interests focus on software engineering education and training, practical applications, corporate training, and real-world course experiences.

Research Division
Computing Education

Current Research
Master of Software Engineering

Taylor’s teaching interests include Python and algorithms.

Research Division
Computing Education