ICCKE 2014 Keynote Speakers
Prof. Madjid Fathi
University of Siegen, Institute of Knowledge Based
Systems & Knowledge Management
Siegen,
Germany
![Prof_Fathi Prof_Fathi](uploading/iccke2014.um.ac.ir/images/Prof_Fathi.html)
Title: Knowledge Engineering and Web Based
Technology for Neuro-Assistant System
Abstract: The common component in Bio-Medical Technology
(Neuro Science) are Knowledge and Knowledge Engineering distributed in:
reasoning (i.e. reasoning under uncertainty), discovery (Text Mining &
recommender systeme) and decision-making. While reasoning requires some kind of
simplification or adaption to deal with exceptions or to increase the usability
of decision-making situations. Reasoning under uncertainty is interchangeably
associated with the handling of uncertain knowledge for example in Neuro
Science. Knowledge Engineering concentrates on conceptual handling with facts
and solutions that enable the usage and further development of knowledge based
techniques and methods to support human behavior and Assistant System based on
decision-making, learning, planning or controlling. The problem solving
abilities based on Knowledge Engineering reflect a human expert which separates
the domain knowledge and related know-how. In our understanding many people
suffer from neurological diseases like stroke, discus prolaps or
dementia/Alzheimer, the patients abilities to fulfill tasks of everyday life
decrease during the course of disease. Therefore the situation is not only
difficult for a patient himself, but also for the family members who care for
him and most often don’t have previous experience in this medical field. Also
the integration of entire Knowledge Engineering component, Web-based
technology, Text Mining and recommender System shows that an efficient
management of HR is an important process for successful realization of Neuro
Assistant system and increase the investment of substantial progress in
Medical-education.
Biography: Prof. Madjid Fathi is a professor and director of Institute Knowledge Based Systems and Knowledge Management (KBS & KM), Department of
Electrical Engineering and Computer Science at University of Siegen, Germany. Mr Fathi is the founder and director of Knowledge Management Center
(KMC). He obtained his PhD degree from
University of Dortmund in Germany, further he received his Habilitation(above
Ph.D) degree at University of Ilmenau, Germany. Prof. Fathi’s research
interests are focused on Knowledge Management and their Applications in Medicine (neuroscience
Technology and learning) and Engineering, Knowledge Engineering and Expert
Systems and Computational Intelligence.
He is a senior member of IEEE and editorial board of 5 respective journals. He
is the founder of Alzheimer Knowledge Platform (www.alwip.de). Mr. Fathi served
as a Visiting Scholar(9/2012-9/2013) at EECS Department, U.C. Berkeley, hosted
by Prof. Zadeh, the father of Fuzzy Logic. The latest keynote speeches of Prof.
Fathi were at IEEE EIT2008, IEEE EIT 2009, KMIS 2009, IEEE-SMC (UK) 2009, KMI
2010, KMI2011, ICCKE2012 KMAP2012, HeathGIS2013, KMI2014, IEEE EIT 2014,
ICCESEN2014.
Time: October 29, 2014 - 8 – 9 AM
Link: http://webinar2.um.ac.ir/r4hmzibtg7u
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Prof. Mohammad-R. Akbarzadeh-T.
Department
of Electrical Engineering, Center of Excellence on Soft Computing and
Intelligent Information Processing, FUM
![Prof_Akbarzadeh Prof_Akbarzadeh](uploading/iccke2014.um.ac.ir/images/Prof_Akbarzadeh.html)
Title: Agencies of Intelligence: From the
Macro to the Nano
Abstract: ‘Homo sapiens’ (Latin for ‘Wise Man’) is
what we call our species. Wisdom and Intelligence stands at the center of how
we define ourselves. But what is intelligence? In this lecture, we review an
array of perspectives from the outer behavioral aspects of intelligence to its
inner compositional. Our journey will walk us through the concept of
omnipotency where an entity has it all, knows it all, and does it all; to the
nanopotency where the entity has little, knows little, and does little. From
the original manifestation of the human dream to create the omnipotent being
that could generalize, learn, and optimize, we now come to its recent
realization that perhaps less is more. We will illustrate by sharing a few of
our findings on traditionally hard problems such as robotics, urban traffic, computer
networks, and judicial/medical decision making to the more evasive and humanly
profound problems such as the atherosclerosis and cancer.
Biography: Prof. Mohammad-R.
Akbarzadeh-T. (Senior Member, IEEE) received his PhD on Evolutionary
Optimization and Fuzzy Control of Complex Systems from the department of
electrical and computer engineering at the University of New Mexico in 1998.
He currently holds dual appointment as professor in the
departments of electrical engineering and computer engineering at Ferdowsi
University of Mashhad. In 2006-2007, he completed a one year visiting scholar
position at Berkeley Initiative on Soft Computing (BISC), UC Berkeley. From
1996-2002, he was affiliated with the NASA Center for Autonomous Control
Engineering at University of New Mexico (UNM).
Prof. Akbarzadeh is the founding president of
the Intelligent Systems Scientific Society of Iran, the founding councilor
representing the Iranian Coalition on Soft Computing in IFSA, and a council member
of the Iranian Fuzzy Systems Society. He is also a life member of Eta Kappa Nu
(The Electrical Engineering Honor Society), Kappa Mu Epsilon (The Mathematics
Honor Society), and the Golden Key National Honor Society. He has received
several awards including: the IDB Excellent Leadership Award in 2010, The IDB
Excellent Performance Award in 2009, the Outstanding Faculty Award in 2008 and
2002, the IDB Merit Scholarship for High Technology in 2006, the Outstanding
Faculty Award in Support of Student Scientific Activities in 2004, Outstanding
Graduate Student Award in 1998, and Service Award from the Mathematics Honor
Society in 1989. His research interests are in the areas of evolutionary
algorithms, fuzzy logic and control, soft computing, multi-agent systems,
complex systems, robotics, and biomedical engineering systems. He has published
over 250 peer-reviewed articles in these and related research fields.
Time: October 30, 2014 - 8 – 9 AM
Link: http://webinar2.um.ac.ir/r52jvqgh89z
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