DEPARTMENT OF BIOMEDICAL ENGINEERING
FORMERLY WITH SARNOFF CORP. AKA STANFORD RESEARCH INSTITUTE - INVOLVEMENT WITH INTELLIGENCE COMMUNITY IN WASHINGTON, D.C. PHOTO OF PAUL SAJDA HAS BEEN REMOVED BY CRIMINAL SURVEILLANCE - TORTURE ATTENDANT FOR THE PURPOSE OF KEEPING Mr. Sajda's FULL IDENTITY HIDDEN DUE TO CRIMINAL INVOLVEMENT IN NONCONCENSUAL HUMAN EXPERIMENTATION, surveillance and torture TECHNIQUES. ANYONE INTERESTED - HIS FACE CAN BE SEEN AT COLUMBIA'S WEBSITE AND VARIOUS LOCATIONS ON THE INTERNET WHERE HIS ACHIEVEMENTS ARE BOASTED ABOUT. AN IN DEPTH LOOK AT THIS MAN'S BACKGROUND IS IN MY ARCHIVES AS WELL AS PROFESSOR LUCAS PARRA --CCNY BIOMEDICAL ENGINEERING AND OTHER PROFESSORSHIPS. MR. SAJDA'S PHONE NO., FAX & EMAIL ARE LISTED BELOW AS WELL AS HIS WORK ADDRESS. i suggest WE write to this gentlemen - if you are in New York - MAKE AN EFFORT to schedule a meeting to discuss the lack of ethics and morality involved in biomedical engineering and further ask him how he sleeps at night.
Formerly with Stanford Research Institute, including background with Intelligence Community in D.C.
PAUL SAJDA
Associate Professor of Biomedical Engineering and Radiology, Departmental Faculty Mediator
404 CEPSR Building
530 West 120th Street, Mail Code: 8904
Phone: +1
212-854-5279
Fax: +1
212-854-8725
Email: ps629@columbia.edu
Home Page
Education
1989: B.S., Electrical Engineering, Massachusetts Institute of Technology
1992: M.S., Bioengineering, University of Pennsylvania
1994: Ph.D., Bioengineering, University of Pennsylvania
Awards/Honors
Elevated to Senior Member of the IEEE 2006
NSF CAREER Award 2002
Sarnoff Technical Achievement Award—Computer Aided Diagnosis 1996
Solomon R. Pollack Award for the Outstanding PhD Dissertation in
Bioengineering (University of Pennsylvania, 1994)Louis and Josepha B. Flexner Award for the Outstanding Ph.D. Dissertation
in the Neurosciences (University of Pennsylvania, 1993)Office of Naval Research National Defense Science and Engineering Graduate
Fellow (1991-94)University Fellow (University of Pennsylvania, 1989-90)
David Alder Memorial Thesis Prize for Outstanding Undergraduate Thesis
Research in Electrical Engineering (MIT, 1989)Eta Kappa Nu
Work Experience
1999-2000: Head, Adaptive Image and signal Processing, Sarnoff Corporation,
Princeton NJ,
Research Summary
The approach behind my research is fundamentally grounded in Neural
Engineering, utilizing large-scale computational modeling and
advanced neuroimaging to infer circuitry and circuit properties of
visual cortex. Neural engineering is an emerging interdisciplinary
field of research that uses engineering techniques to investigate the
function of and manipulate the behavior of the central or peripheral
nervous system. The field draws heavily on computational
neuroscience, experimental neuroscience, electrical engineering,
clinical neurology and signal processing, as well as encompassing
elements of robotics, computer engineering, tissue engineering,
materials science and nanotechnology.
My research has led to thedevelopment of several innovative systems under what can be termed
applied neuroscience, e.g. brain computer interfaces for image search
and computer-assisted detection systems for medical image analysis.
My philosophy, “build it, measure it, test it, understand it”, is
partly fostered by my six years of industrial R&D experience at
the Sarnoff Research Center in Princeton, NJ.
I am the director of the Laboratory for Intelligent Imaging and NeuroComputing (LIIINC).
Publications (selected Over the Past 3 Years)
P. Sajda and K. Baek (2004) Integration of form and motion within a
generative model of visual cortex, (invited submission) Neural
Networks: Special Issue on Vision and Brain, 17 (5/6) 809-821. Also
in Vision and Brain: How the Brain Sees / New Approaches to Computer
Vision, edited by S. Grossberg, L. Finkel and D. Field. Elsevier,
2004.P. Sajda, S. Du, T.R. Brown, R. Stoyanova, D.C. Shungu, X. Mao, and
L.C. Parra (2004) Non-negative matrix factorization for rapid
recovery of constituent spectra in magnetic resonance chemical shift
imaging of the brain, IEEE Transactions on Medical Imaging, 23(12):
1453-1465.L.C. Parra, C.D. Spence, A.D. Gerson and P. Sajda (2005) Recipes for the
linear analysis of EEG, NeuroImage 28(2): 326-41.J. Wielaard and P. Sajda (2005) Neural mechanisms of contrast dependent
receptive field size in V1, Advances in Neural Information
Processing Systems 18, Ed. Y. Weiss and B. Scholkopf and J. Platt.
MIT Press, Cambridge, MA, 1505-1512.A.D. Gerson, L.C. Parra, and P. Sajda (2005) Cortical origins of response
time variability during rapid discrimination of visual objects,
NeuroImage. 28(2): 342-53.M.G. Philiastides and P. Sajda (2005) Temporal characterization of the
neural correlates of perceptual decision making in the human brain,
Cerebral Cortex. 16(4): 509-518, Apr. 2006. (cover article)C. Spence, L. Parra and P. Sajda (2006) Varying complexity in tree
structured distribution models, IEEE Transactions on Image
Processing, 15(2): 319- 330.A. Luo and P. Sajda (2006) Learning discrimination trajectories in EEG
sensor space: Application to inferring task difficulty, Journal of
Neural Engineering, 3(1):L1-L6.M.G. Philiastides, R. Ratcliff and P. Sajda (2006) Neural representation
of task difficulty and decision making during perceptual
categorization: a timing diagram, Journal of Neuroscience, 26(35):
8965-75. (cover article)P. Sajda (2006) Machine learning for detection and diagnosis of
disease, Annual Review of Biomedical Engineering, (invited). Vol 8,
537-565.A.D. Gerson, L.C. Parra and P. Sajda (2006) Cortically-coupled computer
vision for rapid image search, Neural Systems and Rehabilitation
Engineering, IEEE Transactions on. 14(2) 174-179.J. Wielaard and P. Sajda (2006) Circuitry and the classification of
simple and complex cells in V1, Journal of Neurophysiology,
published online June 21, 2006 doi:10.1152/jn.00346.2006. 96(5)
2739-2749.J. Wielaard and P. Sajda (2006) Extraclassical receptive field
phenomena & short-range connectivity in V1. Cerebral Cortex,
published online Dec 22, 2005. doi:10.1093/cercor/bhj090 vol 16:11,
1531-1545. (cover article)Q. Zhao, R. Stoyanova, S. Du, P. Sajda, T.R. Brown (2006) HiRes - A
Tool for Comprehensive Assessment and Interpretation of Metabolomic
Data, Bioinformatics 22:20, 2552-2554.M.G. Philiastides and P. Sajda (2006) Causal influences in the human
brain during face discrimination: a short-window directed transfer
function approach, IEEE Transactions
on Biomedical Engineering, 53(12), 2602-2605.S. Du, X. Mao, P. Sajda and D. Shungu (2007) Automated Tissue
Segmentation and Blind Recovery of 1H MRSI Spectral Patterns of
Normal and Diseased Human Brain, NMR in Biomedicine
doi:10.1002/nbm.1151.L.C. Parra, C. Christoforou, A. D. Gerson, M. Dyrholm, A. Luo, M. Wagner,
M. G. Philiastides, P. Sajda (2007) Spatio-temporal linear decoding
of brain state: Application to performance augmentation in
high-throughput tasks, IEEE Signal Processing Magazine, accepted for
publication.J. Wielaard and P. Sajda (2007) Dependence of response properties on
sparse connectivity in a spiking neuron model of the lateral
geniculate nucleus, Journal of Neurophysiology, in press.Christoforos Christoforou, Paul Sajda, Lucas C. Parra, (2007) Second Order
Bilinear Discriminant Analysis for Single -trial EEG", Advances
in Neural Information Processing Systems 21, 2007 in press.M.G. Philiastides and P. Sajda (2007) EEG-Informed fMRI Reveals
Spatiotemporal Characteristics of Perceptual Decision Making,
Journal of Neuroscience, (in press)
ACTIVE FUNDING
A Large-Scale Spiking Neuron Model of Visual Cortex as a Substrate for
Optimizing Visual Perception, HM1582-07-1-2002 (Sajda, PI), NGA
$513,627 3/07-2/10
Cortically-Coupled Computer Vision, HM1582-05-C-0043 (Sajda, PI), DARPA /NGA $1,064,288
10/05-9/07
Bayesian Cortical Networks for Contextual Integration, HM1582-05-C-0008
(Sajda, PI) NGA $977,000 10/04-9/09
A Non-invasive Single-trial In Vivo Neuroimaging System (R21/R33
EB004730)(Sajda, PI) NIH/NIBIB $1.470,000 8/04-7/08
TEACHING
BMEN E4420, Biomedical Signal Processing and Signal Modeling
BMEN E6480, Computational Neural Modeling and Neuroengineering
Neurocomputational modeling and neuroengineering, pattern recognition, adaptive
processing for biomedical image and signal analysis.
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