自动化与测控技术导论邀请报告通知

10月12日-15日，学院邀请加拿大阿尔伯塔大学Witold Pedrycz教授和加拿大康考迪亚大学苏春翌教授在东教楼C0309为2020级本科生讲授《自动化与测控技术导论》课，具体安排如下：

报告（一）：

报 告 人：Witold Pedrycz教授，加拿大阿尔伯塔大学

报告题目：New Avenues of Explainable Artificial Intelligence and Data Analytics: A Perspective of Granular Computing

内容简介：Artificial Intelligence (including explainable AI, XAI, for brief) and data analytics have positioned themselves nowadays at the center of advanced pursuits of human-centric architectures, intelligent systems, advanced control, and classification.

In this presentation, we highlight and characterize the key features of these areas and advocate that they share some commonalities in the sense that their processing involves intensive use of information granules either in realizing processing or building up user-system interfaces.

The presentation is self-contained. Following a concise presentation of the underlying concepts of XAI and data analytics along with their applications, we discuss the key concepts of Granular Computing, elaborate on the formal fundamentals contributing to its processing and knowledge representation, and contrast different models of information granules (including sets, intervals, fuzzy sets, rough sets and probabilistic information granules).

报告人简介：Witold Pedrycz (IEEE Fellow, 1998) is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. In 2009 Dr. Pedrycz was elected a foreign member of the Polish Academy of Sciences. In 2012 he was elected a Fellow of the Royal Society of Canada. In 2007 he received a prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society. He is a recipient of the IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society, and 2019 Meritorious Service Award from the IEEE Systems Man and Cybernetics Society.

His main research directions involve Computational Intelligence, fuzzy modeling and Granular Computing, knowledge discovery and data science, pattern recognition, data science, knowledge-based neural networks, and control engineering. He has published numerous papers in these areas; the current h-index is 114 (Google Scholar) and 87 on the list top-h scientists for computer science and electronics http://www.guide2research. com /scientists. He is also an author of 21 research monographs and edited volumes covering various aspects of Computational Intelligence, data mining, and Software Engineering.

Dr. Pedrycz is vigorously involved in editorial activities. He is an Editor-in-Chief of Information Sciences, Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and Co-editor-in Chief of Int. J. of Granular Computing (Springer) and J. of Data Information and Management (Springer). He serves on an Advisory Board of IEEE Transactions on Fuzzy Systems and is a member of a number of editorial boards of international journals.

报告（二）：

报 告 人：苏春翌教授，加拿大康考迪亚大学

报告题目：现代机器人技术及其发展方向

内容简介：机器人系统的功能及基本概念，现代机器人的作用及其发展方向。

报告人简介：Dr. Chun-Yi Su is currently a Professor and holder of Concordia University Research Chair’s position. His research covers control theory and its applications to various mechanical systems, with a focus on control of systems involving hysteresis nonlinearities. He is the author or co-author of over 200 journal publications. He has been identified as 2019 Highly Cited Researchers from the Web of Science Group. Dr. Su has served as Associate Editor for several journals, including IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Cybernetics. He is a Distinguished Lecturer of IEEE RA Society. He served for many conferences as an Organizing Committee Member, including the General Chairs and Program Chairs.

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2020年10月8日