UMaine Artificial Intelligence Webinar Series
Upcoming Webinars
Math Information Retrieval: What We Have & What We Need
12-1 p.m. (EST), March 7, 2024
Moderated by: Julia Upton, Associate Professor of Mathematics, Husson University; IEEE Maine Joint Communications/Computer Societies Chapter Chair
Speaker: Behrooz Mansouri, Assistant Professor of Computer Science, University of Southern Maine
Abstract: This talk introduces math information retrieval, discussing the challenges, existing systems, and open problems in this domain. Math information retrieval (MIR) presents unique challenges due to the structured nature of mathematical language and symbols. Despite recent advancements like digital libraries and specialized search engines, the field of MIR still deals with ambiguities and accurately addressing users’ information needs. This presentation emphasizes ongoing efforts to develop test collections, search systems, and conduct user studies for MIR.
Speaker Bio: Behrooz Mansouri is the director of the Artificial Intelligence and Information Retrieval (AIIR) lab at USM’s Dubyak Center. He earned his PhD in computer science in 2022, with his dissertation on Improved Math Information Retrieval. As a PhD student at Rochester Institute of Technology, he has introduced math search models, such as Tangent-CFT and MathAMR. He also co-organized the ARQMath lab at CLEF 2020-2022. His current research is mainly focused on conversational math search systems. His other research topics include cloud detection in satellite images, chemistry question-answering, and legal keyword extraction.