http://www.ee.columbia.edu/ln/dvmm/publications/10/IEEE_C3Vision_2010.pdf
If Link is broken: PDF: Paul Sajda – Lucas C. Parra:
In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision
March 4, 2010
ABOUT THE AUTHORS
Paul Sajda (Senior Member, IEEE) received the
B.S. degree in electrical engineering from
Massachusetts Institute of Technology, Cambridge,
in 1989 and the M.S. and Ph.D. degrees in bioengineering
from the University of Pennsylvania,
Philadelphia, in 1992 and 1994, respectively.
In 1994 he joined the David Sarnoff Research
Center where he went on to become the Head of
the Adaptive Image and Signal Processing Group.
He is currently an Associate Professor of Biomedical
Engineering and Radiology at Columbia University, New York, where
he is Director of the Laboratory for Intelligent Imaging and Neural
Computing (LIINC). His research focuses on neural engineering, neuroimaging,
computational neural modeling, and machine learning applied to image understanding.
Prof. Sajda has received several awards for his research including an
NSF CAREER Award and the Sarnoff Technical Achievement Award.
Sarnoff Corporation is a wholly owned subsidiary of Stanford Research
Institute Int'l. He is an elected Fellow of the American Institute of Medical and Biological Engineering (AIMBE). He serves as an Associate Editor for IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, and a member of the IEEE Technical Committee on Neuroengineering.
Eric Pohlmeyer received the B.S. degree in
mechanical engineering from the University of
Cincinnati, Cincinnati, in 2001, and the M.S. and
Ph.D. degrees in biomedical engineering from
Northwestern University, Evanston, IL, in 2004
and 2008, respectively.
He is a Postdoctoral Fellow in the Biomedical
Engineering Department in the Laboratory for
Intelligent Imaging and Neural Computing (LIINC)
at Columbia University, New York. He works in
brain–computer interfacing and has constructed a system capable of
translating desired hand movements from the brain into electrical
stimulation of paralyzed muscles in order to restore wrist function in
nonhuman primates. He has also worked with EEG-based neural
interfaces, in particular with cortically coupled computer vision (C3Vision)
systems that incorporate EEG recordings with computer vision
systems in order to help individuals sort through large image databases
to find specific images.
Jun Wang received the B.S. degree from Shanghai
JiaoTong University in 1998, and the M.S. degree
from Tsinghua University in 2003. He is currently
working toward the Ph.D. degree in the Department
of Electrical Engineering Department,
Columbia University, New York.
He also worked as Research Assistant at
Harvard Medical School in 2006, and as Research
Intern at Google New York in 2009. His research
interests include image retrieval, machine learning,
and hybrid neural–computer vision systems.
Lucas C. Parra (Senior Member, IEEE) received
the Ph.D. degree in physics from the Ludwig-
Maximilian University, Germany, in 1996.
He is Professor of Biomedical Engineering at
the City College of the City University of New York.
Previously he was head of the adaptive image and
signal processing group at Sarnoff Corporation,
a wholly owned subsidiary of Stanford Research
Institute Int'l (1997–2003) and member of the machine learning
and the imaging departments at Siemens Corporate
Research (1995–1997). His areas of expertise
include machine learning, acoustic array processing, emission tomography,
and electroencephalography. His current research in biomedical
signal processing focuses on functional brain imaging and computational
models of the central nervous system.
Christoforos Christoforou received the Ph.D.
degree in computer science from the Graduate
Center of the City University of New York in 2009.
He is the Chief Research Scientist at R.K.I
Leaders Limited, Aradippou, Cyprus. He holds
the rank of Special Scientist of Electrical Engineering
at the Cyprus University of Technology.
His research focuses on machine learning, pattern
recognition applied in the areas of single-trial
EEG analysis, computational biology, and natural
language processing.
Jacek Dmochowski received the B.Eng. degree
(with High Distinction in Communications Engineering)
and the M.A.Sc. degree in electrical
engineering from Carleton University, Ottawa,
ON, Canada, in 2003 and 2005, respectively, and
the Ph.D. degree in Telecommunications (granted
Bexceptionnelle[) from the University of Quebec-
INRS-EMT, Canada, in 2008.
He is currently a Postdoctoral Fellow at the
Department of Biomedical Engineering of the City
College of New York, City University of New York, and is the recipient of
the National Sciences and Engineering Research Council (NSERC) of
Canada Post Doctoral Fellowship (2008–2010). His research interests lie
in the area of multichannel statistical signal processing and include
machine learning of neural signals, decoding of brain states, and
neuronal modeling.
Barbara Hanna (Member, IEEE) received the B.A.
and M. Eng. degrees from the University of
Cambridge, U.K., in 1997 and the Ph.D. degree in
computer vision from the University of Surrey,
U.K., in 2001. In 2001, she joined the David SarnoffResearch Center where she designed and developed realtime
video processing systems, and went on to become Technical
Lead for medical vision initiatives. In 2007, she became the Program
Manager for Research and Development led by the LIINC lab at Columbia
University under the DARPA NIA Phase 2 Program. She is currently the
CEO of Neuromatters, New York, and focuses on the design and
development of novel brain machine interfaces to deal with information
overload. Her areas of expertise include computer vision and real-time
image and video processing. Note: In 1988 the David Sarnoff Research
Center was transitioned to Sarnoff Corporation, a wholly-owned sub-
sidiary of STANFORD RESEARCH INSTITUTE in which capacity
it serves multiple clients.
Claus Bahlmann received the Ph.D. degree in
computer science with the highest of honors from
the University of Freiburg, Germany, in 2005.
Since 2004, he has been Postdoctoral Staff
Member, Research Scientist, and Project Manager
in the Real-time Vision and Modeling Department
at Siemens Corporate Research (SCR), Princeton,
NJ. His research interests include pattern recognition,
computer vision, and machine learning. He
has applied these techniques in various fields,
including handwriting recognition, automotive, and medical.
Dr. Bahlmann was awarded Best Paper at the IWFHR 2002 conference
for his work BOn-line Handwriting Recognition with Support Vector
MachinesVA Kernel Approach.[ In 2005, his Ph.D. thesis, BAdvanced
Sequence Classification Techniques Applied to Online Handwriting
Recognition,[ earned the Wolfgang-Gentner Nachwuchsfo¨rderpreis
award from the University of Freiburg.
Maneesh Kumar Singh (Member, IEEE) received
the B.Tech. degree in electrical engineering and
the M.Tech. degree in communication and radar
engineering from the Indian Institute of Technology,
Delhi, in 1993 and 1996 respectively, and the
Ph.D. degree in electrical and computer engineering
from the University of Illinois, Urbana, in 2003.
He was a Postdoctoral Research Associate in
the Coordinated Science Laboratory at the University
of Illinois at Urbana-Champaign in 2003–
2004. Since 2004, he has been a Research Scientist at Siemens Corporate
Research, Princeton, NJ, in the Real-time Vision and Modeling Department.
His current research interests include nonparametric statistics,
density estimation, statistical computer vision, and applications of
computer vision for medical diagnostics, industrial inspection, security,
and surveillance.
Shih-Fu Chang (Fellow, IEEE) is Professor and
Chairman of Electrical Engineering and Director of
Digital Video and Multimedia Lab at Columbia
University, New York. He has made significant
contributions to multimedia search, media forensics,
video adaptation, and international standards
for multimedia indexing. Prof. Chang has been recognized with several
awards, including the IEEE Kiyo Tomiyasu Award,
Navy ONR Young Investigator Award, IBM Faculty
Award, ACM Recognition of Service Award, and NSF CAREER Award. He
and his students have received several Best Paper and Best Student
Paper Awards from IEEE, ACM, and SPIE. He has worked in different
advising/consulting capacities for IBM, Microsoft, Kodak, PictureTel, and
several other institutions. He was was Editor-in-Chief for IEEE SIGNAL
Magazine during 2006-8
1. [PDF]
Cortically-Coupled Computer Vision
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by P Sajda - Related articles
Chang SF (2010) In a blink of an eye and a switch of a transistor: Cortically-coupled computer vision. Proceedings of the IEEE 98(3):462–478 ...
www.ee.columbia.edu/dvmm/publications/10/BCI_bookchapter.pdf
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