Information/Data Fusion,
Principles and Applications
Behzad Moshiri
University of Tehran
Friday, March 5, 2pm
Location: BAB024 (Bahen Basement)
Abstract:
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.
Bio:
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 (valaee@comm.utoronto.ca)