1. Biography
He received the B.E. degree (Electronics) in 1984, the M.E.
degree (Electrical Engineering and Electronics) in 1986 and the Ph.D.(Doctor of
Engineering) in 1989 all from Himeji Institute of Technology, Japan.
He
was a Research Associate in the Department of Electronics from 1989 to 1993 and
was an Assistant Professor from 1993 to 1995 and was an Associate Professor from
1995 to 2000 and was a Professor in the Department of Computer Engineering, from
2000 to 2004 in Himeji Institute of Technology.
From 2004, he is currently a
Professor in the Division of Computer Engineering, Graduate School
ofEngineering, University of Hyogo, Japan.
He spent one year in BISC
Group, University of California at
Berkeley from 1995 to 1996 as a visiting scholar. He is now a visiting
professor in Computer Science Division, University of California at Berkeley,
Berkeley, CA, USA.
He is a member of the Institute of Electronics,Information
and Communication Engineers of Japan and Japan Society for Fuzzy Theory and
Systems, The Japan Society of Medical Electronics and Biological Engineering and
Biomedical Fuzzy Systems Association. 2. Editorship and Technical Committee 3. Research Area SOFT COMPUTING: Theory and Applications Soft computing is a consortium of methodologies that exploit
a tolerance for imprecision, uncertainty and partial truth. Results are achieved
with tractability, robustness and a rapport with reality. These results are
often better than that what is achieved through the exclusive use of
conventional (hard) computing. The principal members of soft computing are for
the most part synergistic and complementary. The main ideas of soft computing
were brought forth by the confluence of fuzzy logic, neural networks, and
probabilistic reasoning. Other ingredients include evolutionary algorithms,
rough sets, chaos theory, belief networks and, although only partially, learning
theory. In soft computing, each constituent contributes a distinct methodology
for addressing problems in its domain. This is done in a complementary, rather
than competitive way. Especially, I am now interested in realization of human
reasoning, multiple-valued logic design and medical imaging applications. MEDICAL IMAGING Medical imaging has evolved at an explosive rate in the past few
years. High-resolution, three-dimensional anatomical information can now be
obtained in a routine manner with magnetic resonance imaging(MRI) and
computer-aided tomography(CT). Three-dimensional functional imaging of blood
flow and metabolic information can be obtained from positron emission
tomography(PET) images, and functional four-dimensional electrophysiology (EEG)
and evoked potential information can be obtained using high-speed computers.
In the context of medical imaging, soft computing technique appears as a
power framework since it provides tools adapted to this task. Its main
properties are: Especially, a mixture of pattern recognition
and SC-aided expert system techniques lead to successful tasks to segmentation
of regions of interests and to give enhanced anatomical and functional
resolution. This explosion of new techniques also emphasizes the need to
integrate and focus the efforts of scientists and clinicians to facilitate
communication, establish standards, and develop training programs.. 5. Conference Activity
Tutorial talks Invited talks Conference Chair
He is a senior member of the IEEE.
Chairman: BISC Special Interest Group
in Medical Imaging
Editor: Journal of Multiple-Valued Logic and Soft
Computing,
Editor: Computers and Electrical Engineering- An
international Journal
Editor: International Journal of Knowledge-based
Intelligent Engineering Systems
Editor: Applied Soft Computing Journal
Regional Editor: INTELLIGENT AUTOMATION & SOFT COMPUTING
click here
for a definition of soft computing in greater detail
1. It provides a way to represent and
manipulate imprecise and uncertain information.
2. It will be able to
demonstrate knowledge of Medical doctors.
3. It is well adapted to image
processing since the natural spatial interpretation of soft computing leads to
efficient representations of imprecise or implicit structures or classes in
pictures.
click here for BISC special
interest group in Medical Imaging(BISC-MED)
4. Awards and Honors
