Professor, Tehran University
Data Fusion” an AI approach for decision making
Experts in Control, Robotic, Mechatronic, IT, Industrial Systems Engineers
Thursday, 02 January 2020
10:00 - 10:45
Multi-sensor array, usually referred to as Sensor/Data Fusion, is one of the absorbing topics in Artificial Intelligence and Machine Learning studies. Data fusion is a significant technique for detection, estimation and decision making. A decision support system based on multi-sensor data fusion can be an effective solution to overcome the problems such as uncertainties in the context of situation awareness and threat analysis. The advantages of multiple-sensor data fusion in terms of cost, accuracy, and reliability will be explained in this talk. Generally, “Data Fusion” deals with the synergistic combination of data provided by various knowledge sources or sensors to provide a clear perception of a given scene or environment. The use of sensor/data fusion concept has advantages such as “Redundancy”, “Complementary”, “Timeliness” and “Less Costly Information”. Fusion characterization addressing the application domain, fusion objective, fusion process input-output (I/O) characteristics, and sensor suite configuration will be shown. In this presentation the different models and levels of Data Fusion will be presented. Among different data fusion methods, including the conventional and intelligent approaches, the various techniques coupled with their applications in Industrial Automation, Information Technology, Bioinformatics, Intelligent Transportation Systems (ITS) and Financial Engineering will be presented.
Machine Learning Decision Support System Artificial Intelligence Sensor/Data Fusion Control Systems
Behzad Moshiri received his B.Sc. degree in mechanical engineering from Iran University of Science and Technology (IUST) in 1984 and M.Sc. and Ph.D. degrees in control systems engineering from the University of Manchester, Institute of Science and Technology (UMIST), U.K. in 1987 and 1991 respectively. He joined the school of electrical and computer engineering, university of Tehran in 1992 where he is currently professor of control systems engineering. He has been the member of International Society of Information Fusion (ISIF) since 2002 and senior member of IEEE since 2006. He was visiting professor at the universities of Toronto, Waterloo and Ryerson, Canada, in 2009-2011. He has been as adjunct professor of department of ECE at the university of Waterloo since May 2014 until now as well as department of EECS at York University, Canada since August 2018 until now. He is now serving as the chair of IEEE control system chapter in Iran section since March 2019. He has also been a research fellow member of Waterloo Institute for Sustainable Energy (WISE), Canada since April 2019. He is the author/co-author of more than 360+ articles including 120+ journal papers and 20+ book chapters. His fields of research include advanced industrial control, advanced instrumentation systems and applications of data/information fusion in areas such as robotics, process control, mechatronics, information technology (IT), bioinformatics, intelligent transportation systems (ITS) and financial engineering.