From: sudeep@ee.eng.ohio-state.edu (Sudeep Sarkar)
Subject: Ph.D. in EE (Computer Vision/Image Analysis) seeking EL position
Originator: sudeep@frodo.eng.ohio-state.edu
Organization: The Ohio State University Dept of Electrical Engineering
Date: Thu, 30 Jul 1992 17:58:57 GMT

==========================================================================
                              VITA

                           Sudeep Sarkar
	             1486 Neil Avenue, Apt # N 
                      Columbus, OH 43201, USA
                e-mail: sudeep@ee.eng.ohio-state.edu 
                      phone # (614)-291-2425
===========================================================================
OBJECTIVE: 
 Research and Development in Computer Vision, Automated Image Analysis,
 Robot Vision, or Automated Cartography. 
	

EDUCATIONAL BACKGROUND:

  * Doctor of Philosophy (Electrical Engineering)
          - The Ohio State University, Columbus, Ohio
          - Degree expected in early 1993
  * Master of Science (Electrical Engineering)
          - The Ohio State University, Columbus, Ohio
	  - Degree awarded in March 1990
	  - GPA:  3.955/4.0
  * Bachelor of Technology (Electrical Engineering)
	 - Indian Institute of Technology, Kanpur, India
	 - Degree awarded in May 1988
	 - Cumulative performance index of  9.9/10.0
	 - Ranked {first} in the undergraduate program


CERTIFICATES OF MERIT AND SCHOLARSHIPS: 

  * Awarded Presidential Fellowship for Doctoral Resarch in 1992.
  * Awarded the Outstanding Graduate Research Award in
    Engineering Sciences in April 1990 by the National Council of Graduate
    Students, OSU chapter.
  * Chosen as the  best undergraduate Electrical Engineer,
    1988 by the Academic Senate of I.I.T.-Kanpur.
  * Awarded certificates of merit by the Senate of I.I.T. Kanpur
    for academic excellence in sophomore and junior years.
  * Recipient of the  National Talent Scholarship, 1984, awarded
    by the National Council of Educational Research and Training, India.

MEMBERSHIPS:

  * Member of the Institute of Electrical and Electronics Engineers:
    Computer Society and Systems, Man, and Cybernetics society.
  * Member of Phi Kappa Phi.

WORK EXPERIENCE:
  * Research Assistantship at the Signal Analysis and Machine
    Perception Laboratory, OSU from Sept. 1988 to date.
  * Teaching Assistantship in the Dept. of Electrical Engineering
    for Winter 1991. Acted as substitute lecturer in graduate level
    courses on Computer Vision and Image processing.


RESEARCH EXPERIENCE:

Graduate School:
---------------

Presently working on Computer Vision, as a research assistant pursuing
the Ph.D., in the Signal Analysis and Machine Perception Laboratory of
The Ohio State University under Dr.~Kim Boyer.  My work involves
investigating computational methods for perceptual organization in
images. I am looking into voting methods [17] (The numbers in square
brackets refer to entries in my publication list) to model
pre-attentive vision and Bayesian Networks [14] to reason over the
primitive elements which are observed.


My masters level work involved low level image segmentation, edge
detection, and stochastic methods in image segmentation [2,3,11]. I
studied the design of optimal edge detection filters of infinite
extent (impulse response) and their implementation as recursive
digital filters.  Subtle differences in zero crossing based operators
and other types of edge detection operators have been investigated.  I
have looked into means of detecting and integrating different types of
edge signatures using stochastic methods, which introduced me to low
level perceptual organization.

I have also contributed to the following research accomplishments:

  - The edge detector I developed was subsequently used to design an
    efficient constant curvature contour segmentation scheme [16] which
    outputs edge primitives serving as input for a large number of visual
    algorithms. 
  - The study of scale space properties of the edge detector lead to the
    development of an efficient scale space edge focusing scheme [4,10]
    achieving both the goals of eliminating spurious responses and
    enhancing edge positioning. 
  - I also participated in the development of
    a graph theory based hypothesis generation algorithm in magnetic
    resonance images of brain [1,12].  
  - The work on stereo [5,9], which is
    a very important depth perception modality, involving extracting point
    stereo correspondences and camera calibration, also helped me to make
    a significant contribution to another aspect of image understanding.


Undergraduate:
-------------

My senior project was on the modeling of flicker noise using
autoregressive moving average (ARMA) models. The project involved
software simulation experiments and the building of a reliable flicker
noise source for further studies.  In the summer of 1987 I built a low
cost 8085 based microprocessor kit for use in schools. The project was
sponsored by UNESCO. It has full on board 64K memory, one parallel
port, an audio cassette interface, multiplexed 20 key 128 character
keyboard, alphanumeric display and the provision for on board EPROM
programming.


PUBLICATIONS:

Refereed Journal Papers
---------------------


1. S. Sarkar and K. L. Boyer, ``Integration, Inference, and Management of
    Spatial Information Using Bayesian Networks: Perceptual
    Organization,''  To appear in the special issue on Probabilistic
    Reasoning in  IEEE Transactions on Pattern Analysis and
    Machine Intelligence, Nov 1992.

2. S. V. Raman, S. Sarkar, and K. L. Boyer, ``A graph-theoretic approach to
   generating structure hypotheses in cerebral magnetic resonance images,''
   Accepted to Computer Vision, Graphics, and Image Processing:
   Image Understanding, (In Press).


3. S. Sarkar and K. L. Boyer, ``On optimal infinite impulse response edge
   detection filters.''  IEEE Transactions on Pattern Analysis
   and Machine Intelligence, vol. 13, no. 2, pp. 1154--1171, Nov. 1991.

4. S. Sarkar and K. L. Boyer, ``Optimal infinite impulse response zero crossing
   based edge detectors,''   Computer Vision, Graphics, and
   Image Processing: Image Understanding, vol. 54, no. 2, pp. 224--243,
   Sept. 1991. 

5. S. V. Raman, S. Sarkar, and K. L. Boyer, ``Tissue boundary refinement in
   magnetic resonance images using contour-based scale space matching,'' 
   IEEE Transactions on Medical Imaging, vol. 10, pp. 109--121, June 1991.

6. K. L. Boyer, D. M. Wuescher, and S. Sarkar, ``Dynamic edge warping: An
   experimental system for recovering disparity maps in weakly constrained
   systems,''  IEEE Transactions on Systems, Man, and Cybernetics,
   vol. 21, pp. 143--158, Jan. 1991.


Refereed Conference Papers
--------------------------

7. S. Sarkar and K. L. Boyer, ``Computing Perceptual Organization using
   Voting Methods and Graphical Enumeration,'' in  Proceedings of the
   International Conference on Pattern Recognition, (Hague, Netherland),
   Aug. 1992.

8. S. Sarkar and K. L. Boyer, ``Perceptual Organization using Bayesian
   Networks,'' in  Proceedings of the Conference on Computer Vision
   and Pattern Recognition, (Urbana-Champaign, Illinois), pp 251--255,
   June 1992.

9. K. L. Boyer and S. Sarkar, ``Assessing the State of Art in Edge
   Detection: 1992,'' in  Proceedings of SPIE: Application of
   Artificial Intelligence X: Machine Vision and Robotics, (Florida,
   USA), pp. 353--362, April 1992.

10. K. L. Boyer, D. M. Wuescher, and S. Sarkar, ``Dynamic edge warping:
   Experiments in disparity estimation under weak constraints,'' in
   Proceedings of the Third International Conference On Computer
   Vision, (Osaka, Japan),   pp. 471--475, IEEE Computer Society, Dec. 1990.

11. S. V. Raman, S. Sarkar, and K. L. Boyer, ``Tissue boundary
    refinement in MRI using contour-based scale space matching,'' in
    Proceedings of the Symposium for Computer Assisted Radiology,
    (Anaheim, California), pp. 618--624, June 1990.

12. S. Sarkar and K. L. Boyer, ``Optimal, efficient, recursive edge detection
    filters,'' in  International Conference on Pattern Recognition, (Atlantic
    City), pp. 931--936, June 1990.

Book Chapter
------------

13.  K. L. Boyer, S. V. Raman, and S. Sarkar, ``Generating structure
    hypotheses in cerebral magnetic resonance images using segment
    based focusing and graph theoretic cycle enumeration,'' in
    Advances in Image Analysis (Y. Mahdavieh, ed.), SPIE Publications,
    1991.


Technical Reports (Journal Submissions)
----------------------------------------

14. S. Sarkar and K. L. Boyer, ``Perceptual Organization in Computer
    Vision: A Review and a proposal for a Classificatory Structure,''
    Tech. Rep. SAMPL-92-01, SAMP-Lab, Dept of EE, OSU, Feb. 1992.
    Submitted to  IEEE Transactions on Systems, Man, and Cybernetics.


15. S. Sarkar and K. L. Boyer, ``A gradient-based two stage contour
    segmentation algorithm,'' Tech. Rep. SAMPL-91-04, SAMP-Lab, Dept.
    of EE, OSU, June 1991. 

16. K. L. Boyer and S. Sarkar, ``Comments on ``On the Localization
    Performance Measure and Optimal Detection'','' May 1991, 
    Submitted to   IEEE Transactions on  Pattern Analysis  and
    Machine Intelligence.

17. S. Sarkar and K. L. Boyer, ``A highly efficient computational structure for
    perceptual organization,'' Tech. Rep. SAMPL-90-06, SAMP-Lab, Dept. of EE,
    OSU, November 1990. Submitted to  IEEE Transactions on Systems, Man, and
    Cybernetics.


-- 
" The real challenge in life is not in seeing how much you can possess
but in realizing how less you can live with. "