Please join us for a UW Data Science Seminar featuring Michigan Tech Assistant Professor Mazi Erfani on Wednesday, April 29th from 4:30 to 5:20 p.m. PT. The seminar will be held in IEB G109.

“Human–AI Collaboration for Infrastructure Systems: Agentic AI for Forecasting and Behavioral Simulation.”

Abstract: This seminar explores the emerging role of Agentic AI in enabling Human–AI collaboration for infrastructure systems. Through representative applications, the talk illustrates how multi-agent AI and large language model–based agents can support complex infrastructure analysis, planning, and decision-making tasks. These examples demonstrate how agentic AI can move beyond traditional prediction toward collaborative, explainable, and decision-aware infrastructure systems, where AI works alongside human experts to enhance insight, adaptability, and decision quality.

Speaker Bio:Dr. Mazi Erfani is an Assistant Professor in the Department of Civil, Environmental, and Geospatial Engineering at Michigan Tech University, where he leads the AI in Infrastructure Management (AIM) Lab. His research focuses on the integration of data science, AI, and engineering systems to improve how infrastructure is planned, constructed, and managed. His work combines large-scale infrastructure data, machine learning, and emerging AI technologies including LLMs and agentic AI to develop human–AI collaborative systems that support engineering decision-making.