Professor I. B. Türksen
PhD (Pittsburgh), PEng
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Türksen's Resume
I.B. Türksen received the B.S. and M.S.
degrees in Industrial
Engineering and the Ph.D. degree in Systems Management and Operations
Research all from the University of Pittsburgh, PA. He joined the
Faculty of Applied Science and Engineering at the University of Toronto
and became Full Professor in 1983. In 1984-1985 academic year, he was a
Visiting Professor at the Middle East Technical University and Osaka
Prefecture University. Since 1987, he has been Director of the
Knowledge / Intelligence Systems Laboratory. During the 1991-1992
academic year, he was a Visiting Research Professor at LIFE, Laboratory
for International Fuzzy Engineering, and the Chair of Fuzzy Theory at
Tokyo Institute of Technology. During 1996 academic year, he was
Visiting Research Professor at the University of South Florida,USA, and
Bilkent University, Ankara, Turkey. Since December 2005, he is
appointed as the Head of Department of Industrial Engineering at TOBB
Economics and Technology University.
He was and/or is a member of the Editorial Boards
of the following
publications: Fuzzy Sets and Systems, Approximate Reasoning, Decision
Support Systems, Information Sciences, Fuzzy Economic Review, Expert
Systems and its Applications, Journal of Advanced Computational
Intelligence, Information Technology Management, Transactions on
Operational Research, Fuzzy Logic Reports and Letters, Encyclopedia of
Computer Science and Technology, Failures and Lessons Learned in
Information Technology, Applied Soft Computing. He is the co-editor of
NATO-ASI Proceedings on Soft Computing and Computational Intelligence,
and Editor of NATO-ASI Proceedings on Computer Integrated Manufacturing
as well co-editor of two special issues of Robotics and Autonomus
Systems.
He is a Fellow of IFSA and IEEE, and a member of
IIE, CSIE, CORS, IFSA, NAFIPS, APEO, APET, TORS, ACM, etc.
He is the founding President of CSIE. He was
Vice-President of IIE,
General Conference Chairman for IIE International Conference, and for
NAFIPS in 1990. He served as Co-Chairman of IFES'91 and Regional
Chairman of World Congress on Expert Systems, WCES'91, WCES'94, WCES'96
and WCES'98, Director of NATO-ASI'87 on Computer Integrated
Manufacturing and Co-Director of NATO-ASI'96 on Soft Computing and
Computational Intelligence. He was General Conference Chairman for
Intelligent Manufacturing Systems, IMS '1998, IMS '2001,
IMS`2003. He
was the President of IFSA during 1997- 2001 and Past President of IFSA,
International Fuzzy Systems Association during 2001-2003. Currently, he
is the President, CEO and CSO, of IIC, Information Intelligence
Corporation.
He received the outstanding paper award from
NAFIPS in
1986, "L.A. Zadeh Best Paper Award" from Fuzzy Theory and Technology in
1995, "Science Award" from Middle East Technical University, and an
"Honorary Doctorate" from Sakarya University. He is a Foreign Member,
Academy of Modern Sciences.
His current research interests centre on
the foundations of fuzzy sets and logics, measurement of membership
functions with experts, extraction of membership functions with fuzzy
clustering and fuzzy system modeling. His contributions include, in
particular, Type 2 fuzzy knowledge representation and reasoning, fuzzy
truth tables, fuzzy normal forms, T-formalism which is a modified and
restricted Dempster's multi-valued mapping, and system modeling
applications for intelligent manufacturing and processes, as well as
for management decision support and intelligent control.
He has published near 300 papers in scientific
journals and conference proceedings.
His book entitled "An Ontological and Epistemological
Perspective of
Fuzzy Theory" was published by Elsevier, The Netherlands, in
January,
2006. (ISBN-10: 0-444-51891-6,
ISBN-13: 978-0-444-51891-0)
Area of Research
- Knowledge/Intelligence
Discovery
Theoretical research : Foundations of Fuzzy Logic, Fuzzy Truth Tables,
Fuzzy Canonical Forms, Type 2 Knowledge Representation and Inference,
Intelligent Systems, Computational Intelligence, Neuro-Fuzzy
Integration, Linguistics to Computations, Signs and Semiotic Systems,
knowledge/intelligence-data mining, T-formalism, and Belief and
Probabilities over Type 2 fuzzy sets.
Applied Research : Development of an integrated knowledge
representation and inference for industrial use, fuzzy cluster
analysis, unsupervised learning, reinforcement learning, neural
networks, supervised learning, neuro-fuzzy modeling, parametric t-norm
and t-conorm selection, robotics and industrial process planning and
control, production planning and scheduling, consumer preference
analysis, client credit worthiness, client segmentation, intelligent
manufacturing system development, intelligent pharmacology modeling,
intelligent bandwidth allocation on networks and QoS routing for SLA's
on the internet.
- Information
Systems
Data Mining : Data reduction, learning from
data, statistical methods, cluster analysis, decision trees, neural
networks, evolutionary computing, fuzzy logic, etc.
Data Modeling : Object oriented and relational
data models, development of normal forms, relational calculus and
algebra, and data access languages, SQL, QBE, ACCESS, etc.
Distributed Information Systems : Network
infrastructures, fragmentation, decomposition and distribution methods,
data access languages for distributed systems, transaction management
and protocols
Ongoing Research Projects
- System Analysis, Diagnosis and Prediction
- Scheduling of Industrial Processes such as
continuous casting in steel plants.
- Analysis and Diagnosis of Pharmacological
data, such as alcohol dependence and lithium retention.
- De-sulfurization of molten steel.
- Intelligent Manufacturing System Modeling
- Control of Robotic Manipulators
- Robust Robot Control
- Knowledge/Intelligence-Data Mining and Systems
Modeling for financial data analysis, consumer preference and market
share analysis, client credit worthiness, client segmentation "lift"
analysis, etc.
- Image processing and diagnosis and treatment of
cancer cells
- Information Technology, internet protocol,
bandwidth allocation, routing, QOS provisioning for SLA's, etc.
- Network Simulations, fuzzy-reinforcement
learning, etc.
170 College St (Rear), Haultain Building, Room
305A
University of Toronto, Toronto, Ontario, Canada,
M5S 3G8
turksen@mie.utoronto.ca
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