渥太华大学Shervin Shirmohammadi教授讲座通知
时间 2026年3月18日（星期三） 16:00-18:00 地点 创新港2号巨构5008会议室
报告人 Shervin Shirmohammadi
报告时间：2026年3月18日（星期三） 16:00-18:00
报告地点：创新港2号巨构5008会议室
Professor Shervin Shirmohammadi，IEEE Fellow，曾荣获2023年 IEEE 仪器与测量学会（IMS）技术奖、2021年 IEEE IMS 杰出服务奖以及2019年George S. Glinski卓越研究奖等多项国际荣誉。现任加拿大渥太华大学电气工程与计算机科学学院教授，担任 Discover 实验室主任。主要研究方向为人工智能与测量科学交叉领域，包括AI辅助测量、分类与大语言模型不确定性、人类活动识别、网络诊断与运行以及物联网测量。其研究获得了超过2800万美元的公共及私营部门资助，拥有30余项专利与技术转化成果。发表了450余篇学术论文（获4项最佳论文奖），曾任国际权威期刊 IEEE Transactions on Instrumentation and Measurement 主编（2017-2021），并担任 IEEE Open Journal of Instrumentation and Measurement 的创刊主编（2022-2023）。
报告题目1：Uncertainty-Assisted Trustworthy Decision Making with Artificial Intelligence
讲座介绍：
As Artificial Intelligence (AI) becomes a more prevalent technology in nearly all applications of technology, some directly or indirectly affecting human safety, the issue of making trustworthy decisions based on AIprediction becomes important, and in some cases vital. Measurement is a fundamental and key enabler of AI, because measurement is used to collect data, which is then used to train an AI model, which in turn is used for indirect measurement such as detection, tracking, monitoring, characterization, identification, sensing, estimation, recognition, or diagnosis of a physical phenomenon. In this talk, we will learn about the concept of uncertainty and how it can make AI systems more trustworthy for real-world deployment. We will study uncertainty from the perspective of both measurement standards, such as VIM and GUM, and AI paradigms of regression, classification, and Large Language Models (LLM). Finally, we go over a few specific examples from existing literature.
报告题目2：Tips for scientific paper writing and publication in IEEE
讲座介绍：
In this short talk, we go over some considerations about presenting the result of your research as a paper to be published in an IEEE periodical. Topics include selection of the most effective and relevant periodical, writing of the paper, what to expect during the review process, how to respond to reviewers, and AI-generated content.
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