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Short Bio
Dr.
Okada has broad research interests in the areas of intelligent computing: computer
vision, pattern recognition, machine learning, artificial intelligence and
data mining. He has been active in the research fields of medical image
analysis, statistical data analysis, cognitive vision and face
recognition. His earlier work on face recognition has produced a winning
system in the well-known FERET competition, setting the industry-standard. His
recent work on lung tumor segmentation and detection in chest CT scans has
resulted in a number of US, German, Chinese and Japanese patents.
He
has received the Ph.D. and M.S. degrees in computer science from University
of Southern California, and the M.Phil. degree in human informatics and the
B.Eng. degree in mechanical engineering both from Nagoya University in Japan. He is currently an assistant professor of computer science at San Francisco State University and leads the laboratory for biomedical data analysis.
Prior to his academic appointment, he was a research scientist at Siemens
Corporate Research in Princeton, NJ. He is a member of IEEE, ACM, SPIE and
MICCAI.
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Curriculum
Vitae
·
Research
Research Summary
Biomedical Image & Data
Analysis Lab
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Teaching
CSC621-821
Biomedical Imaging & Analysis
CSC872 Pattern Analysis
and Machine Intelligence
CSC230 Discrete
Mathematics
CSC101 Computers For
Everyone
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Last modified on 2011.07.31
