AEM Seminar: Friday, October 10th - Prof Jie Ding, School of Statistics, University of Minnesota - Twin Cities
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Molly Schmitz
Oct 6, 2025, 9:00:39 AM (5 days ago) Oct 6
to AEM Seminar, AEM Regular Faculty
University of Minnesota
Aerospace Engineering and Mechanics
Fall 2025 Seminar Series
Fall 2025 Seminar Series
Friday, October 10, 2025
209 Akerman Hall
2:30pm-4:30pmAEM Seminar:
Designing Intelligent AI: Insights from Human Cognition
Abstract:
Modern AI systems are evolving from passive tools to autonomous agents capable of reasoning, learning, and collaboration. This talk explores emerging research directions in generative AI and foundational principles inspired by human cognition: continuous learning and adaptation, effective knowledge transfer, and multi-objective decision making. The discussion aims to stimulate thoughts on developing domain-specific AI that can operate reliably in complex, real-world environments.
Bio:
Jie Ding (https://jding.org) is an Associate Professor at the School of Statistics, University of Minnesota. He received his Ph.D. in Engineering Sciences from Harvard University in 2017, joined UMN in 2018, and earned early tenure promotion in 2023. Jie's research lies at the intersection of AI, statistics, and scientific computing, with a current focus on AI scalability and trustworthiness. His work has been recognized with the NSF CAREER Award, ARO Young Investigator Award, Cisco Research Award, Meta Research Award, and several best paper honors. He created a new UMN course on Generative AI (STAT8105) with open-source course materials at https://genai-course.jding.org, which has attracted broad interest from both students and professionals.
Modern AI systems are evolving from passive tools to autonomous agents capable of reasoning, learning, and collaboration. This talk explores emerging research directions in generative AI and foundational principles inspired by human cognition: continuous learning and adaptation, effective knowledge transfer, and multi-objective decision making. The discussion aims to stimulate thoughts on developing domain-specific AI that can operate reliably in complex, real-world environments.
Bio:
Jie Ding (https://jding.org) is an Associate Professor at the School of Statistics, University of Minnesota. He received his Ph.D. in Engineering Sciences from Harvard University in 2017, joined UMN in 2018, and earned early tenure promotion in 2023. Jie's research lies at the intersection of AI, statistics, and scientific computing, with a current focus on AI scalability and trustworthiness. His work has been recognized with the NSF CAREER Award, ARO Young Investigator Award, Cisco Research Award, Meta Research Award, and several best paper honors. He created a new UMN course on Generative AI (STAT8105) with open-source course materials at https://genai-course.jding.org, which has attracted broad interest from both students and professionals.
*Refreshments to follow in 209 Akerman Hall
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Molly Schmitz (She/Her/Hers)
Principal Accountant, Purchasing & Payroll Specialist, Graduate Program Coordinator
Department of Aerospace Engineering & Mechanics, University of Minnesota - Twin Cities
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