Sensor Data Fusion, Principles and Applications
Engineering Gateway 3161
Speaker: Professor Behzad Moshiri, University of Tehran Professor of Control Systems Engineering, Control & Intelligent Processing, Center of Excellence, School of ECE, University of Tehran. Sensor Data Fusion deals with the synergistic combination of data made available by various sources such as sensors in order to provide a better understanding of a given scene. The use of sensor/data fusion concept has advantages such as “Redundancy”, “Complementary”, “Timeliness” and “Less Costly Information”. In this presentation, the advantages of multiple-sensor data fusion approaches in terms of cost, accuracy and reliability will be discussed. Fusion characterization covering the application domain, fusion objective, fusion process input-output (I/o) characteristics and sensor suite configuration will also be explained. Besides, different models and levels of Sensor Data Fusion will be introduced and also the different conventional and intelligent data fusion approaches will be presented. Sensor Data fusion technologies are categorized according to the level of detailed inference and user recommendations provided from various data inputs. As a result, the applications of information technology in data fusion named as Information fusion will also be addressed. Some typical examples from our research groups at school of ECE, University of Tehran on applications of sensor data fusion in Robotics, Intelligent Transportation Systems (ITS), Information technology (IT), and Bioinformatics will be presented in this seminar. Speaker's Biography 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 and is currently professor of control systems engineering. He was the member of ISA (Canada Branch) in 1991-1992. He has been the member of ISIF since 2002 and Senior member of IEEE since 2006. He has been the head of Machine Intelligence & Robotics division at school of ECE. He has also been the president and vice-president of Iranian Society of Instrument & Control Engineers. He was one of the founders of both “Control & Intelligent Processing, Center of Excellence” and “Iranian Society of Mechatronics Engineers”. He received the Distinguished Researcher Award from University of Tehran in 2003 and received the Distinguished Alumnus Award from IUST in 2004. He also received "Active Participation Award for the Best Poster Presentation" at International Conference on Machine Intelligence (ACIDCA-ICMI)sponsored by IEEE in 2005. He has recently received "The Best Conference Paper Award" at Canadian Transportation Research Forum, CTRF 2010, Toronto, June 2010. He is the author/co-author of more than 270 articles including 65 journal papers and several book chapters. Professor Moshiri’s fields of research include advanced industrial control design, advanced instrumentation design, applications of information and data fusion in information technology, mechatronics, robotics, process control, bioinformatics and intelligent transportation systems (ITS).