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SUMMARY:TRM LLM Module Lecture: "Spatial Intelligence: A Key to Embodied AI" with Parisa Kordjamshidi
DESCRIPTION:Join us on Thursday\, December 11\, 2025\, at 12:00 PM PT/3:00 PM ET for the lecture: “Spatial Intelligence: A Key to Embodied AI” with Parisa Kordjamshidi\, PhD. This will be the 5th installment in the Bridge2AI Training\, Recruitment\, and Mentoring (TRM) 2025-26 Lecture Series Large Language Model (LLM) Module. \nLearning Objectives: \n\nDefine spatial reasoning and generalization within the context of AI model development.\nIdentify and explain the current limitations of large vision–language models.\nDescribe neurosymbolic AI modeling and articulate how it can enhance model generalization\n\nBiography: \nDr. Parisa Kordjamshidi is an Associate Professor of Computer Science and Engineering at Michigan State University since 2019. After her PhD (KU Leuven\, Belgium)\, she completed her postdoctoral training at the KnowEng Center of NIH BD2K Program at UIUC. At MSU\, her research spans Artificial Intelligence (AI)\, machine learning\, natural language processing (NLP)\, neuro-symbolic AI\, and multi-modal LLMs. She currently directs the Heterogeneous Learning & Reasoning Lab at MSU. She is the recipient of the NSF CAREER Award (2019–24)\, the Amazon Faculty Research Award (2022)\, and the Fulbright Scholar Award (2025). \nDr. Kordjamshidi has a strong publication record across leading AI and NLP venues\, including ACL\, EMNLP\, NAACL\, NeurIPS\, AAAI\, IJCAI\, and ICLR. She serves as the Action Editor of TACL and as a member of the editorial boards of JAIR and other impactful journals. She has served on organizing committees for major conferences such as NAACL\, EMNLP\, ECML-PKDD\, and AAAI\, and as a (senior) area chair or program committee member for top venues including ACL\, IJCAI\, NAACL\, EMNLP\, and AAAI.
URL:https://bridge2ai.org/event/trm-llm-module-lecture-spatial-intelligence-a-key-to-embodied-ai/
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