
Enamul Hoque Prince
Enamul Hoque Prince is an Associate Professor at York University, Canada, where he directs the Intelligent Visualization Lab. Previously, he was a postdoctoral fellow at Stanford University and earned his Ph.D. in Computer Science from the University of British Columbia. His research unites Natural Language Processing and Information Visualization—two fields that have historically evolved separately—to establish a new frontier in language-based data interaction and reasoning. His work advances this frontier through multimodal AI and agentic systems, making data analytics more accessible and trustworthy. His research has produced widely adopted benchmarks and models that have helped shape the emerging field of multimodal AI for data visualization and have been adopted by leading AI organizations, including OpenAI, Google, and Anthropic. Dr. Prince has published nearly 100 papers in leading AI, visualization, and HCI venues, received multiple research awards, and delivered invited talks and tutorials at international conferences. He has served as an Area Chair for the ACL Rolling Review and on the IEEE VIS Program Committee. His research has been supported by NSERC, the Canada Foundation for Innovation, the National Research Council Canada, and industry partners.
Large Language Models for Data Visualization
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