· Short Bio
Dr.
Okada has broad research interests in the areas of intelligent computing,
such as 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 pending 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.
· Curriculum Vitae
· Research
Dental
Computer Aided Diagnosis (funded by CSUPERB)
Collaborative
Online Medical Data Annotation Tool (funded by SFSU)
Automatic
Lesson Planer for Special Education (funded by US Dept. of Education)
Rooftop
Analysis for Solar Energy Deployment (funded by SFSU)
Part-based
Object/Face Recognition and Learning
· Teaching
CSC872 Pattern Analysis
and Machine Intelligence
CSC330 Discrete Mathematics
CSC101 Computers For
Everyone
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Last modified on 2009.08.20
