MATSUMOTO Takashi

J-GLOBAL         Last updated: Jan 15, 2019 at 10:50
 
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Name
MATSUMOTO Takashi
URL
http://www.matsumoto.elec.waseda.ac.jp
Affiliation
Waseda University
Section
Faculty of Science and Engineering
Job title
Professor
Degree
Doctor of Engineering(Waseda University), MSc(Harvard University)

Research Areas

 
 

Academic & Professional Experience

 
Apr 2003
 - 
Mar 2004
Visiting Scientist, Department of Engineering, Cambridge University
 
1977
 - 
1979
Visting Scientist, Department of Electrical Engineering and Computer Sciences,
 
 
   
 
University of California, Berkeley
 

Education

 
 
 - 
1966
Faculty of Engineering, Waseda University
 

Committee Memberships

 
1990
   
 
Institute of Electronics, Information and Communication Engineers  
 
1976
 - 
1977
The Society of Instrument and Control Engineers  
 

Awards & Honors

 
2010
Life Fellow, IEEE
 
2000
The Second IP Design Award Development
 
1995
IEEE Certificate of Appreciation, IEEE CAS Society
 
1994
Best Paper Award, Japanese Society of Neural Networks
 
1984
Fellow, IEEE
 

Misc

 
Masakaze Sato, Wakana Ishikawa, Tomohiko Suzuki, Takashi Matsumoto, Takeo Tsujii, Kaoru Sakatani
Advances in Experimental Medicine and Biology, Springer   accepted    2012
HDP-MRF: A Hierarchical Nonparametric Model for Image Segmentation
Takuma Nakamura, Tatsuhiro Harada, Tomohiko Suzuki, Takashi Matsumoto
ICPR 2012   accepted    2012
New Method of Analysing NIRS Data from Prefrontal Cortex at Rest
W.Ishikawa, M.Sato, Y.Fukuda, T.Matsumoto, N.Takemoto, T.Tsujii, K.Sakatani
ISOTT 2012      2012
A Bayesian Prediction of STAI at Resting State from 2-channel Prefrontal Cortex NIRS Data
M.Sato, W.Ishikawa, T.Suzuki, T.Matsumoto, T.Tsujii and K.Sakatani
JSMBE 51      2012
Online Brain-Machine Co-learning for SSVEP Covert-selective Attention
Y.Dobashi, C.Serizawa and T.Matsumoto
Workshop on Tools for Brain Computer Interaction      2012

Books etc

 
Bifurcations: Sights, Sounds and Mathematics
Springer - Verlag   1993   

Research Grants & Projects

 
Hyperspectral Imaging-based Biometric Authentication
Project Year: 2010   
Authenticate individuals by hyperspectral imaging
NIRS-based Brain Sgnal Decoding
Project Year: 2010   
Predict anxiety index from NIRS data
EEG-based Brain Signal Decoding
Project Year: 2009   
prediction of intention from EEG
Nonparameteric Bayesian Learning
Project Year: 2009   
Bayesian approach with Stick-Breaking GEM implementation
Monte Carlo HMM, Membrane Protein Structure Prediction