报告时间：2025年12月8日下午14：30
报告地点：信息楼310
报 告 人：Iman Izadi, Isfahan University of Technology
报告题目：AI-Powered Monitoring: Context-Aware Alarm Systems
内容简介： Industrial environments are inherently dangerous, requiring a systematic approach to safety. Alarm systems serve as a critical layer of protection, designed to prompt timely human intervention. Yet conventional systems, with their static logic and lack of situational awareness, often generate alarm floods and spurious alerts—undermining operator trust and system reliability. This lecture first provides a historical overview of alarm systems and their role in industrial safety. We then present key ideas and standards developed to transform alarms from a source of stress into a pillar of resilience. Finally, we examine the shift toward context-aware alarm systems, analyzing traditional limitations and introducing how AI-powered approaches can integrate process context to filter noise and prioritize critical alerts. This progression frames the essential move toward intelligent, AI-powered monitoring.
报告人简历：Iman Izadi received his B.Sc. from Sharif University of Technology, Iran, his M.Sc. from Isfahan University of Technology, Iran, and his Ph.D. (in 2006) from the University of Alberta, Canada all in electrical engineering. After graduation he joined Honeywell Process Solutions as a Solutions Specialist for Alarm Management where he researched, designed, programmed, installed, and commissioned industrial alarm management systems for six years. Meanwhile, he co-founded and managed Advanced Alarm Management and Design, a joint research group between the Departments of Electrical and Computer Eng. and Chemical and Material Eng. at the University of Alberta. The research group received NSERC Strategic Project Grant, a prestigious $450,000 research grant provided by the Canadian Government in 2009. In 2013, he joined the Department of Electrical and Computer Engineering, Isfahan University of Technology, Iran, where he is currently a professor. Iman has extensive industrial experience, having completed and commissioned projects in over 90 industrial plants worldwide. Throughout his career, he has been honored with several awards and recognitions, including twice receiving the Distinguished Professor in Teaching award from the Isfahan University of Technology. His current research focuses on alarm systems, Industry 4.0, smart factories, advanced process control, and self-driving vehicles. Recently, he served as the technical director for the team that developed Iran's first autonomous mining dump truck.
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