Kaiqun Fu, an assistant professor in South Dakota State University's Jerome J. Lohr College of Engineering, attended the 2023 Association for the Advancement of Artificial Intelligence Conference Feb. 9-14 in Washington, D.C.
Fu, who pursues research and teaches courses in the Department of Electrical Engineering and Computer Science, is advising two students who presented on their research during the conference’s poster session.
Yangxiao Bai, a graduate assistant student in the Department of Electrical Engineering and Computer Science, presented his research on social media mining. Bai and Fu conducted research utilizing AI tools and models that analyzed historical COVID-19-related posts on the social media platform Twitter. Their work is titled, "PanTop: Pandemic Topic Detection and Monitoring System."
Fu also supported a student researcher—Hoa Ta, from the University of California, Irvine—who spent this summer on SDSU's campus as part of the Research Experience for Undergraduates (REU) program learning and researching deep learning and neural networks under Fu's guidance.
Ta and Fu, along with Shi Wen Wong, a graduate student at SDSU, Nathan McClanahan, a lecturer in the Department of Mathematics and Statistics, and Jung-Han Kim, an associate professor in the Department of Mathematics and Statistics, presented their work on physics-informed neural networks at the conference. Their work is titled "Exploration on Physics-Informed Neural Networks on Partial Differential Equations."
Academics consider the AAAI conference to be the one of the top computer science conferences in the country and the best for artificial intelligence specifically. More than 10,000 people were in attendance for its 37th iteration.
The purpose of the AAAI conference is "to promote research in AI and foster scientific exchange between researchers, practitioners, scientist, students and engineers across the entirety of AI and its affiliated disciplines." This year's theme was "to create collaborative bridges within and beyond AI."