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UID:360@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20260429T163000
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URL:https://escience.washington.edu/events/uw-data-science-seminar-mazi-er
 fani/
SUMMARY:UW Data Science Seminar: Mazi Erfani
DESCRIPTION: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.\n"Human–AI Collab
 oration for Infrastructure Systems: Agentic AI for Forecasting and Behavio
 ral Simulation"\nAbstract: This seminar explores the emerging role of Agen
 tic AI in enabling Human–AI collaboration for infrastructure systems. Th
 rough representative applications\, the talk illustrates how multi-agent A
 I and large language model–based agents can support complex infrastructu
 re analysis\, planning\, and decision-making tasks. These examples demonst
 rate how agentic AI can move beyond traditional prediction toward collabor
 ative\, explainable\, and decision-aware infrastructure systems\, where AI
  works alongside human experts to enhance insight\, adaptability\, and dec
 ision quality.\n\nSpeaker Bio: Dr. Mazi Erfani is an Assistant Professor i
 n the Department of Civil\, Environmental\, and Geospatial Engineering at 
 Michigan Tech University\, where he leads the AI in Infrastructure Managem
 ent (AIM) Lab. His research focuses on the integration of data science\, A
 I\, and engineering systems to improve how infrastructure is planned\, con
 structed\, and managed. His work combines large-scale infrastructure data\
 , machine learning\, and emerging AI technologies including LLMs and agent
 ic AI to develop human–AI collaborative systems that support engineering
  decision-making.\n\n\nThe 2025-2026 seminars will be held in person\, and
  are free and open to the public.\n\n
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