Toronto Networking Seminar

Organized by Department of Computer Science and Department of Electrical and Computer Engineering, University of Toronto

Information/Data Fusion, Principles and Applications

Behzad Moshiri
University of Tehran

Friday, March 5, 2pm
Location: BAB024 (Bahen Basement) 


Information Fusion is the merging technology to integrate the information from disparate sources with differing conceptual, contextual and typographical representations. Data Fusion is a subset of Information Fusion which deals with the synergistic combination of data made available by various knowledge 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”. 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 be explained. In this seminar the different models and levels of Data Fusion will be introduced and also the different conventional and intelligent data fusion approaches will be presented. Data fusion technologies are categorized according to the level of detailed inference and user recommendations they provide from various data inputs. Some typical examples on applications of information/data fusion in Information Technology, Bioinformatics, Robotics, Distributed Sensing Network and Intelligent Transportation Systems (ITS) will be presented.


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 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 (adaptive, model predictive and intelligent control), advanced instrumentation design, applications of information and data fusion in information technology, mechatronics, robotics, process control, bioinformatics and intelligent transportation systems (ITS).

Host of Talk:

Shahrokh Valaee (