Curriculum
Vitae
David B. Sher
2003
|
Mat|Stat|CMP Department
Nassau Community College
Garden City NY 11530
(516)572-7387
 sherd@ncc.edu
|
1.
Education
Certified
Java 2 Programmer 5/02 Sun
Microsystems Inc.
Ph.D. 1/88 University of Rochester (Computer Science)
M.S. 1/84 University of Rochester (Computer Science)
B.S. 5/82 Yale University (Computer Science and Mathematics)
|
|
Associate
Professor, Department of Mathematics and Computer Science, Nassau
Community College
|
|
|
Assistant
Professor, Department of Mathematics and Computer Science, Nassau
Community College
|
|
|
Instructor,
Department of Mathematics and Computer Science, Nassau
Community College
|
|
|
Assistant
Professor, Department of Computer Science, State University of New
York at Buffalo.
|
|
|
Vision
Architectures Expert for the CMU WARP Design Team, Computer Science Dept.,
Carnegie Mellon University.
|
|
|
Research
Assistant, Computer Science Department, University of Rochester .
|
1/02-12/03
Four
Colleges: Calculus + Enhancements, In
collaboration with QCC, BMCC, and MEC, Minority Science and Engineering
Improvement Program (MSEIP), Department of Education, Total funding $465,810
12/00-6/01
Developing Applets for Teaching Mathematics, Long Island Consortium for
Integrated Learning, Total Funding $200.
6/99-12/99
Near-Earth
Objects Quantitative Exercises for Non-Science Major Students: Crater Size and
Tsunami Height, Long Island Consortium for Integrated Learning, Total Funding
$1625.
6/96-12/96
Coordinating
Mathematics and Economics Courses, Long Island Consortium for Integrated Learning, Total Funding
$3000.
1/96-12/97
Development of Course Materials to
Promote Collaborative Learning through Interactive Animation for Mathematics, National Science Foundation Course and
Curriculum Development Program, Total Funding:$86,000
9/94-8/96
Collaborative Learning through Interactive Animation for
Mathematics and Computer Science, National Science Foundation, Instrument and Laboratory Improvement
Program, Total Funding: $70,000
7/91-6/93
A
Methodology for Collaborative Quantification of Non-Rigid Motion in 2
Dimensional Echocardiograms, American Heart
Association, NYS chapter, Total Funding: $40,000.
5/91-4/92
A Methodology for Collaborative Quantification of Non-Rigid Motion
in 2 Dimensional Echocardiograms, Pilot Project from
the NIH under the BRSG program.
Total Funding $2,500.
6/90-9/91
A
System for Collaborative Quantification of Non-rigid Motion in 2 Dimensional
Echocardiograms, SUNY at Buffalo Center for
Advanced Technologies - Health Instruments Devices Institute, accepted without
funding.
5/90
A
Methodology for Collaborative Quantification of Non-Rigid Motion in 2
Dimensional Echocardiograms, American Heart
Association, NYS chapter, accepted without funding.
1/89-4/89
Automatic
Flight Inspection System Camera Project,
Invited proposal from Sierra Research Incorporated. Joint with Dr. D.Walters (PI) (SUNY Buffalo), Dr. P. Scott (PI) (SUNY
Buffalo),and Dr. M. Hatziprokopiou
(SUNY Buffalo). Total funding: $45,000.
1/87-9/89
Intelligent
Signal Processing Techniques Applied to Multisensor
Surveillance Systems, Invited Proposal
from Northeast Artificial Intelligence Consortium. Joint with Dr. H. Rhody and Dr. J. Modestino.Total
funding: $200,000.
4/88-4/90
Quantitative Measurement in Echocardiographic Output, Pilot Project from the NIH under the BRSG program. Total Funding $5,000.
E.
Newberger, D. B. Sher, Apparatus for Utilizing a
Discrete Fourier Transformer to Implement Discrete Cosine Transformer,
Patent #5,258,941.
State University
of New York Chancellor’s Award for Excellence in Scholarship and Creative
Activities, 2009
1. D.B.
Sher, A Classroom Note on Extensible
Truth Tables for Verifying Logical Arguments, Math and Computer
Education, Vol.
46, No. 2, Spring 2012, pg 133.
2.
D.B.
Sher, Proof Without Words: Partial Sums of a Harmonic
Sequence, Math and Computer Education, Fall2009, Vol. 43 Issue 3, pg 270.
3. D.B.
Sher, A Visual Proof for an Average Case of List Searching, Inroads - the
SIGCSE Bulletin, Vol. 40 #2, June 2008, 74-78.
4. L.A.
Sher, D.B. Sher, A Classroom Note on Generating Examples for the Law of Sines and Cosines from Pythagorean Triangles, Math and
Computer Education, Vol. 41 #2, pp. 168-171, Spring 2007.
5. D.B.
Sher, Classroom Note: Bar Code Scanner as a Canonical Function, Math and
Computer Education Vol.
38 #3, pp. 265-266, Fall 2004.
6. D.B.
Sher, D.C. Nataro, The Prosthaphaeretic Slide Rule: a mechanical
multiplication device based on trigonometric identities, Math and Computer
Education, Vol. 38 #1, Spring 2004, pp. 37-43.
7. D.B.
Sher, Recursive Objects - An Object Oriented Presentation of Recursion, Math
and Computer Education, Vol. 38 #1, Spring 2004,
pp. 97-109.
8. D.B.
Sher, C. Decusatis, Parallel Computing Architectures
using Fiber Optics, Asian Journal of Physics, vol. 41, no. 3, p. 33-46
(March 2003).
9. D.B.
Sher, D.C. Nataro, Vector Algebra Proofs for
Geometry Theorems, Math and Computer Education, Vol. 36 #2, Spring 2002,
pp.187-190.
10. D.B.
Sher, Programming C++ with Panache: A C++ Style Manual, Math and Computer
Education, Vol. 34 #2, Spring 2000, pp. 195-209.
11. D.B.
Sher, R. Skurnick, D.C. Nataro,
A Proof Without Words: The Area of a Quadrilateral is Less than or Equal to
Half the Product of its Diagonals, Math and Computer Education, Vol. 33
#3,Fall 1999, pg. 282.
12. D.B.
Sher, D. Nataro, R. Skurnick,
A Note on the Corrected Egyptian Rule for the Area of a Quadrilateral, Math
and Computer Education, Summer 1999, pg. 170.
13. D.B.
Sher, S. Feldberg, Review of "Teaching yourself HTML in a Week by Laura
Lemay," Math and Computer Education, Winter
1999, pp. 83-84.
14. D.
B. Sher, Proof Without Words: 1+
x=0k
(n-1)nx
= nk+1, Math
and Computer Education, Vol. 32, #1, Winter 1998, pg. 51.
15. D.
B. Sher, Persuasive Essays for Motivating Computer Science Topics, Math and
Computer Education, Vol.31 #3, Fall 1997, pp. 248-251.
16. D.
B. Sher, Proof Without Words: 3n-1=
k=0n-1
2×3k, Math and
Computer Education, Vol.31 #2, Spring 1997, pg. 190.
17. D.
B. Sher, Generating Parabola Line Intersection Problems for a Classroom
Setting, Math and Computer Education, Vol. 30 #3, Fall 1996, pp 278-282.
18. D.
B. Sher, Problem #333, , Mathematics and Computer
Education, Vol. 30, #2, Spring 1996, Page 214.
19. D.
B. Sher, Problem #326, Mathematics and Computer Education, Vol. 29, #3, Fall 1995, Page 323.
20. Xin He, and David Sher, On determining Non-isomorphic
Configurations of circles through points on a sphere, Journal of Discrete
Applied Mathematics, Vol. 59, pp. 33-50, 1995.
21. S.
Revankar, D.B. Sher, C. Cheung, V.L. Shalin, M. Ramamurthy, S. Rosenthal, Supervised
Interpretation of Echocardiograms with a Psychological Model of Expert
Supervision, Computerized Medical Imaging and Graphics, Vol. 19, No. 1.,
Elsevier Science Ltd, pp. 47-59, 1995.
22. D.B.
Sher, Review of "The Whole Internet," Mathematics and Computer
Education, Winter 1995, Vol. 29, Number 1, pp 100-101.
23. D.
B. Sher and C. Cheung, Constructing Noise-Reducing Operators from Training
Images, Pattern Recognition Letters, Vol. 15, pg. 357, 1994.
24. D.
B. Sher, Problem #313, Mathematics and Computer Education, Vol 28, #2, Spring 1994, Page 208.
25. D.
Milun and D. B. Sher, Improving Sampled Probability
Distributions for Markov Random Fields, Pattern Recognition Letters,
Elsevier Science Publishers, 14,1993,781-788.
26. E-Ren Chuang and David B. Sher, X 2 Tests for
Feature Detection, Pattern Recognition, 1993, Vol
26, Iss. 11, pp 1673-1681.
27. S.
Revankar, D. B. Sher, and C. Cheung, Selecting a
threshold for 2-D echocardiograms, Journal of Electronic Imaging, 1(4),
October 1992,365-373.
28. David
Sher, A Computational Normative Theory of Scientific
Evidence, The International Journal of Approximate Reasoning, 6, 1992,
505-524.
29. David
Sher, Shriram Revankar, and
Steven Rosenthal, Computer Methods in Quantitation of Cardiac Wall Parameters
from Two Dimensional Echocardiograms: A Survey, Intl. Journal of Cardiac
Imaging, 8,1992, 11-26.
30. David
Sher, Minimizing the Cost of Errors with a Markov Random Field, Pattern
Recognition Letters, vol. 12(2) February 1991,85-89.
31. David
Sher, and Jon Hull, Quantifying the Unimportance of Prior Probabilities in a
Computer Vision Problem, Pattern Recognition Letters, 11(6), June 1990,
379-383.
32. David
Sher, Expert Systems for Vision Based on Bayes' Rule, Computer Vision,
Graphics and Image Processing, 34, April 1986, 114-116.
33. Sher,
David and Sher, Lawrence, Some Conjectures on Fermat's Last Conjecture, The
Two Year College Mathematics Journal, Mathematics Association of America,
Vol. 12 No. 1, January, 1981, 51-52.
1. D.B.
Sher, Web Pages that Support Collaborative Modeling Projects for Precalculus, CrossRoads in Mathematics Programs Reflecting the
Standards, AMATYC, 1999,pp 42-43.
2. Shriram Revankar, David Sher,
Valerie L. Shalin and Maya Ramamurthy, Supervised
interpretation of echocardiograms with a psychological model of expert
supervision, Proceedings of the 1993 SPIE/SPSE Symposium on Electronic
Imaging: Science and Technology --- Biomedical Image Processing and Biomedical
Visualization, February 1993, SPIE..
3. S.
Revankar and D. B. Sher, Selecting a threshold for
2-D echocardiograms, Proceedings of the 1992 SPIE/SPSE Symposium on
Electronic Imaging: Science and Technology --- Biomedical Image Processing and
Three-Dimensional Microscopy, February 1992, SPIE.
1. Sher,
D. B. 2006. Motivating data structures with caching internet stock data. In Proceedings
of the 11th Annual SIGCSE Conference on innovation and Technology in Computer
Science Education (Bologna, Italy, June 26 - 28, 2006). ITICSE '06. ACM,
New York, NY, 344-344.
2. D.B.
Sher, A Simple Implementation of a Queue
with a Circularly Linked List, Proceedings of the The 9th Annual Conference on Innovation and Technology in
Computer Science Education, June 30, 2004, pg. 274.
3. D.B.
Sher, Using Speech to Enhance a Math Education Applets,
Elearn 2002 -- Montreal, Canada, Oct. 17 2002.
4. D.B.
Sher, The Design of Interactive Applets for Mathematics
Education, Elearn 2002 -- Montreal,
Canada, Oct. 17 2002.
5. D.B.
Sher, Developing Courseware for Mathematics and Computer
Science in JavaScript, Proceedings of Webnet98, Orlando
Fl, November, 1998.
6. D.B.
Sher and B.K. Sy, A Method for finding Independently
Distributed Probability Models that Satisfy Order Constraints, Proceedings
of the 1996 Asian Fuzzy Systems Symposium, Rough Sets and Data Mining
Session, T.Y. Lin, Sept. 1996, pp. 344-349
7. Georgiou
G., Sy B., Sher D., Summarizing Time Series Data for
Optimizing the Settings of Technical Indicators, Proceedings of the 3rd
International Conference on Artificial Intelligence Applications on Wall Street,
New York, New York, June 1995.
8. D.
B. Sher, S. Revankar, J. G. Neal, V. L. Shalin and M. Ramamurthy, A Multimodal System for
Interpreting Echocardiograms, Proceedings of the Conference on Next
Generation Information Technology Systems, The Technion-Israel
Institute of Technology, June 1993, O. Etzion and A.
Segal, 104-113. (14/45)
9. D.
Milun and D. B. Sher, Training Double Neighborhood
Markov Random Fields by Sampling---How much data is required?,
Proceedings of Vision Interface 93, Toronto Canada, 1993.
10. S.
Revankar
and D.B. Sher, Constrained Contouring in Polar
Coordinates, Proceedings of the IEEE Computer Vision and Pattern Recognition
Conference, IEEE, J.K. Aggarwal, Y. Aloimonos, and R. M. Bolle, June
1993, 688-689 (186/403).
11. D.
B. Sher and D. Milun, Generating Edge Detectors from
a Training Ensemble, Proceedings of the Second International Conference on
Adaptive and Learning Systems, SPIE, April 1993, F. Sadjadi,
165-176.
12. D.
B. Sher and E. Podnos, Generating Object Locators
from a Training Ensemble, Proceedings of the Second International Conference
on Adaptive and Learning Systems, SPIE, April 1993, F. Sadjadi,
153-164.
13. D.
Milun and D. B. Sher, On MRF reconstruction of Images
- How Much Training Is Necessary?, Proceedings of the Second International
Conference on Adaptive and Learning Systems, SPIE, April 1993, F. Sadjadi, 146-152.
14. E.
Chuang, and D.B. Sher, Implementation of An Object
-Oriented Declarative Language for Image Understanding, Proceedings of the
IAPR Workshop on Machine Vision Applications, (149/240).
15. D.
Sher, On the Derivation of Edge Detection Algorithms from Sample Images ---
Preliminary Results, the SPIE 1992 International Symposium on Optical
Applied Science and Engineering: Neural and Stochastic Methods in Image and
Signal Processing, 1992, 576-581.
16. D.
Milun, and D.B. Sher, Learning Structural and
Corruption Information from Samples for Markov Random Field Edge Detection
Enhancement, the SPIE 1992 International Symposium on Optical Applied
Science and Engineering: Neural and Stochastic Methods in Image and Signal
Processing, 1992, 156-161.
17. D.
Sher, The Influence of Object Size On the Regions of Interest for Edge Detection
--- Preliminary Results, Proceedings of the International Conference on
Pattern Recognition, 1992, III, 294-297 (193/239).
18. Davin Milun and David Sher,
Learning structural and corruption information from samples for Markov random
field binary image reconstruction, Proceedings of the International
Conference on Pattern Recognition, 1992, III, 513-516 (193/239).
19. Venu Govindaraju, S.N. Srihari, and D. B. Sher, Caption based face location in
newspaper photographs, Proceedings of the International Conference on
Pattern Recognition, 1992, I, 474-477 (65%).
20. V.
Govindaraju, S.N. Srihari,
and D. Sher, A computational model for face location based on cognitive
principles, Proceedings of the Tenth AAAI Conference, 1992, 350-355
(20%).
21. E-ren Chuang and David Sher, A Vision System for Feature
Detection and Information Combination, Proceedings of the SPIE - Machine
Vision Systems: Integration and Applications Conference, SPIE, Nov. 1991,
In Press.
22. Davin Milun, and David Sher,
Improving Markov Random Field Reconstructions by using Noisy Probabilities, Progress
in Image Analysis and Processing II: Proceedings of the 6th International
Conference on Image Analysis and Processing, Sept. 1991, 147-154 (50/170).
23. David
Sher, and Patrick Mullhaupt, On the Size and Shape of
the regions of Interest for Edge Detection --- Preliminary Results, Progress
in Image Analysis and Processing II: Proceedings of the 6th International
Conference on Image Analysis and Processing, Sept. 1991, 27-33 (50/170).
24. David
Sher, A Technique for Deriving the Distribution of
Edge Neighborhoods from a Library of Occluding Objects, Progress in Image
Analysis and Processing II: Proceedings of the 6th International Conference on
Image Analysis and Processing, Sept. 1991, 422-429 (50/170).
25. S.
Revankar, D. Sher, and W. Wu, An Interactive Thresholding Scheme to Extract Myocardium from a Sequence
of Two Dimensional Echocardiograms, Proceedings of the 17th Annual Northeast
Bioengineering Conference, April 1991, 197-201.
26. S.
Revankar, and D. Sher, Collaborative Processing to
Extract Myocardium from a Sequence of Two Dimensional Echocardiograms, 1991
SPIE/SPSE Symposium on Electronic Imaging: Science and Technology ---
Extracting Meaning from Complex Data: Processing, Display, Interaction II,
Feb. 1991, SPIE, 268-273.
27. G.
Srikantan, D. Sher, and E. Newberger,
Efficient Extraction of Local Myocardial Motion with Optical Flow and a
Resolution Hierarchy, 1991 SPIE/SPSE Symposium on Electronic Imaging:
Science and Technology --- Extracting Meaning from Complex Data: Processing,
Display, Interaction II, Feb. 1991, SPIE, 258-267.
28. V.
Govindaraju, S. Srihari,
and D.B. Sher, A Computational Model for Face
Location, Proceedings: International Conference on Computer Vision,
1990, 718-721 (25%).
29. David
Sher, and Jon Hull, Quantifying the Unimportance of Prior Probabilities in a
Computer Vision Problem3 , Proceedings of the 10th
International Conference on Pattern Recognition, June 1990, IEEE, 662-664
(78/158).
1. David
B. Sher, Casimer Decusatis,
Optical Interconnects for Clustered Architectures, Handbook of Fiber Optic
Data Communication – A Practical Guide to Optical Netowrking
– third edition, ed.
Casimer Decusatis, Elsevier
Academic Press, 2008, ISBN 978-0-12-374216-2, pp. 427-452.
2. David
B. Sher, Casimer Decusatis,
Parallel Computing Architectures using Fiber Optics, Fiber Optic Data
Communications: Technology Advances and Futures, March 8, 2002, Chapter 7.
3. David
B. Sher, The Sum of Powers of Three, Proof Without Words II, More Exercises
in Visual Thinking, The Mathematical Association of America, ed.
Roger B. Nelsen, 2000, pg. 108.
4. David
B. Sher, Ronald Skurnick, Dean C. Nataro
The Area of a Quadrilateral I, Proof Without Words II, More Exercises in
Visual Thinking, The Mathematical Association of America, ed. Roger
B. Nelsen, 2000, pg. 20.
5. Govindaraju, S. Lam, D. Niyogi,
D.B. Sher, R. Srihari, S. N. Srihari
and D. Wang, Newspaper Image Understanding, Lecture Notes in Artificial
Intelligence, Vol.: 444, 1991, Springer Verlag,
NY, NY, 375-386.
6. Govindaraju, S. Lam, D. Niyogi,
D. Sher, R. Srihari, and D. Wang. Newspaper Image
Understanding, in Knowledge Based Computer Systems, S. Ramani,
R. Chandrasekhar and K.S.R. Anjaneyulu, editors, Narosa Publishing House, New Delhi, India, 1989, 375-386.
1.
D.B.
Sher, Experience with Twitter & Introductory College Mathematics Courses, CIT2012 SUNY FACT Conference, Stonybrook NY, May 31, 2012
2.
D.B.
Sher, Creating Educational Animation, 4th
Annual SUNY Fredonia Teaching & Learning Conference, 8/16/2010.
3.
D.B.
Sher, Finding Math in the Newspapers - An easy way to connect math concepts to
the real world, New York State
Mathematics Association of Two Year Colleges Region IV Conference, Fall
2009, 11/1/2009.
4.
D.B.
Sher, Teaching Analysis of a Tree Algorithm with a Visual Proof, 2009 Annual Spring Meeting of the
Metropolitan New York Section of the MAA, 5/3/2009.
5.
D.B.
Sher, Combining Video Media with Web Pages for Instruction, Conference on Computing in the Disciplines:
Catalyst for Creativity, 10/17/2008
6. D.B.
Sher, E.R. Sher, Making Instructional Videos with MS Movie Maker, Successful
Teaching Conference, Binghamton NY, Nov 16, 2007.
7.
D.B.
Sher, Poster: Setduko and Logicduko
– Teaching Symbols with Games, 2007
Annual Spring Meeting of the Metropolitan New York section of the MAA,
5/6/2007.
8.
D.B.
Sher, Workshop: A Scaffolding Web Site for Teaching about Contracting and Web
Page Design, Conference on Instructional
Technologies, 5/31/2006.
9.
D.B.
Sher, Academic Website Design with an XML Design Language, Ed-Media 2005, World Conference on Educational Multimedia, Hypermedia
& Telecommunications, 6/30/2005,
10.
D.B.
Sher, Academic Web Languages Using XML, Conference
on Instructional Technologies, 5/24/2005.
11. D.B. Sher, XML Data Presentation Web
Pages, CIT2004 SUNY FACT Conference, Stonybrook NY, June1-4, 2004.
12. D.B.
Sher, Drills, Games, and Tools, an Approach to Educational Interactive Web
Pages, Best Practices in Course Web Migration , SUNY Old Westbury, Old
Westbury NY, April, 2003.
13. D.B.
Sher, Using Interactive Multimodal Applets to Teach Precalculus, NYSMATYC
Summer Institute 2002, Queensborough Community
College, Bayside NY, June 21, 2002,
14. D.B.
Sher, User Interface of Interactive Mathematics Education
Applets, CIT2002 SUNY FACT Conference, Oneonta NY, May
28-30, 2002.
15. D.B.
Sher, Animating Graph Paper: Challenges of Stippling, Metropolitan New York
Section Mathematical Association of America Annual Meeting, Hostos Community College, Bronx NY, May 5, 2002.
16. D.B.
Sher, Drawing Quadratics in Java, Metropolitan New York Section Mathematical
Association of America Annual Meeting, Hostos
Community College, May 5, 2002.
17. D.B.
Sher, In Class Laboratory Exercises for Computer Science 2,
SIGCSE Conference, ACM, Charlotte NC, February 22, 2001.
18. David
Sher, Dean Natoro: Using Vectors to Solve Geometry Problems: Using a cannon to swat a fly, Metropolitan New York
Section Mathematical Association of America Annual Meeting, Bronx Community College,
May 7, 2000.
19. David
Sher, Dean Natoro: The Prostaphaeretic Multiplier - A Slide Rule for Ancient
Greeks, New York Mathematics Association for Two
Year Colleges Conference,
Hofstra University, April 7, 2000.
20. D.
Nataro, D. Sher and R. Skurnick:
Quadrilateral Areas, Mathematics Association of America - New York Metro
Section Spring Meeting, Hofstra University, May 1, 1999.
21. D.B.
Sher, Role Playing and Writing as Instructional Tools in the Technology Class, Pedagogy
in Practice - A Multidisciplinary, Multicultural Conference, Nassau
Community College, April 1998.
22. D.B.
Sher, Enhancing Precalculus with Interactive Web Pages,
The AMATYC Conference, Atlanta Georgia, November 1997.
23. D.B.
Sher, Spreadsheets for Applying the Harvard Approach to Precollege Algebra,Eastern Regional
NCTM conference, Long Island, NY December 1997.
24. D.B.
Sher, Persuasive Essays for Motivationg Mathematics, Eastern
Regional NCTM conference, Long Island, NY December 1997.
25. L.A. Sher, D.B. Sher,
Statistics and Facilitated Communication: Student Projects that Show the
Interaction, Canadian Regional NCTM Conference, Vancouver, BC Canada,
August 23, 1996.
26. D.B.
Sher, Motivating Mathematics with Debugging, NYSMATYC conference, Nov.,
1993.
27. D.B.
Sher, Computing Probabilities from Incomplete Experimental Evidence, Thirteenth
Annual Meeting of the Society for Medical Decision Making, Presented:
October, 1991.
28. David
Sher, and Davin Milun,
Improving Markov Random Field Distributions by using Noisy Probabilities, Bar-Ilan Symposium on the Foundations of Artificial
Intelligence, Presented June 1991.
29. David
Sher, Deriving the Distribution of Edge Neighborhoods from a Library of
Occluding Objects, Bar-Ilan Symposium on the
Foundations of Artificial Intelligence, Presented June 1991.
30. David
Sher, Towards a Normative Theory of Scientific Evidence - a Maximum Likelihood
Solution, Proceedings of the Sixth (AAAI) Conference on Uncertainty in AI,July,
1990, 509-516.
1. D.B.
Sher, Precalculus Applets, May 30, 2004, Presentation to BMCC Math
Educators Workshop
2. D.B.
Sher, Development of Course Materials to Promote Collaborative
Learning Through Interactive Animation for Mathematics CRD
NSF Grants Workshop , Borough of Manhatten
Community College, Oct 11, 2002.
3. D.B.
Sher, Applets and Applications for Mathematics Education, New Visions in
Mathematics Education: A Poster Session - NSF Poster Session at The American
Mathematical Association of Two-Year Colleges (AMATYC) Annual Conference,
November 15-18, 2001, Toronto, Ontario, Canada.
4. D.B.
Sher, Interactive Student Activities on the Web for Teaching Mathematics and
Technology, Shaping the Future - Transforming Unergraduate
Education in Science, Mathematics Engineering and Technology, Borough of
Manhattan Community College, May 1998
5. D.B.
Sher, Precalculus Web Materials, Departmental
Seminar for Nassau Community College Mat/Sta/CMP
Department, May
21, 1997.
6. D.B.
Sher, Interactive Educational Web Materials, Nassau Community College Colloquium:
Educational Technologies: Myth?, Monster?, Magic?, May
20 1997.
7. D.B.
Sher, Collaborative Learning through Interactive Animationfor
Mathematics, Together we Can Make it Work in New York,New York Mathematics Science and Engineering
State-wide Conference, The Quality Education for Minorities Network and
Nine CUNY Colleges, Oct,1995.
8. W.
Atkins, D. B. Sher, et. al., Panel
Discussion on Grants (fix), Nassau Community College, Garden City NY,
March 16, 1995.
9. D.
B. Sher, Finding Causal Effects in the New York Stock Exchange, Colgate
University Computer Science Department, Hamilton, NY, Feb. 21, 1995.
10. D.
B. Sher, A Collaborative Approach to the Analysis of Echocardiograms, University
of Alabama at Birmingham, Echocardiography Lab., March 13,1992.
11. D.B.
Sher, Collaborative Image Analysis Applied to Echocardiographic Imagery, S.U.N.Y.
Buffalo Medical Technology Dept. Seminar Series, Oct. 30, 1991.
12. D.B.
Sher, Collaborative Image Processing and Motion Analysis Applied to
Echocardiographic Imagery, S.U.N.Y. Buffalo Biophysics Dept., March 6,
1991.
13. D.B.
Sher, Computer Vision Algorithms with Humility, University of Rochester
Computer Science Dept., Feb. 4, 1991.
1.
D.B. Sher, Painting: Y=2X+1, Firehouse Art Gallery of Nassau
Community College, Summer 2009
Govindaraju, 1992 A Computational Model for Face Location
Venu
Cohen, Edward 1992 Interpreting Handwritten Text in a Constrained
Domain ]
Ho, Tin Cam 1992 A Theory of Multiple Classifier Systems and its
Application to Visual Word Recognition
Chen, Jiah-Shing 1992 A Probabilistic Theory of Model-Based Diagnosis
Srihari, Rohini 1991 Extracting Visual Information from Text: Using
Captions to Label Faces in Newspaper Photographs
Tsai, Chimin 1991 Noise and Computational Complexity Reduction
Schemes in Digital Filter Design
Wang, Ching-Huei 1988 A Framework for Object Recognition in a Visually
Complex Environment and its Application to
Locating Address blocks on Mail Pieces
Alberth, Richard 1992 A Preliminary Approach to Choosing an
Optimization Method
Chiang, 1989 Application of Edge Guided Segmentation to
Chih-Chung Echocardiographic Data
Wu, Wan-Chung 1989 Multiresolution Thresholding Schemes for Motion
Estimation in Echocardiographic Imagery
Yen, Shyh-Guang 1989 Solving Image Segmentation with High Level
Knowledge and Combinatorial Optimization
National
Science Foundation
IEEE Transactions in Pattern Analysis and Machine Intelligence
IEEE Transactions in Systems, Man, and Cybernetics
SPIE Journal of Electronic Imaging
Computer Graphics, Vision, and Image Processing
International Journal of Approximate Reasoning
Pattern Recognition Letters
Math and Computer Education
1/89-8/89
Alternate Faculty Senator (Computer Science Dept., SUNY at Buffalo)
9/89-6/92 Faculty Senator (Computer Science Dept., SUNY at Buffalo)
9/93-8/98 Faculty Senate Liaison Committee for Disabled Services (NCC)
9/94-8/95 Faculty Senate Honors Committee (NCC)
9/97-8/00 Faculty Senate Grants Committee (NCC)
9/07-8/09 Faculty Senate Grants Committee (NCC)
Faculty
Recruiting Committee 1987-1989, Laboratory Committee 1987-1988, Colloquium
Committee 1988-1989, Library Committee 1989-91, Graduate Affairs Committee
1990-1992, Computer Utilization Committee 1994-1995 Chair Computer Science
Committee 1997-2007 Chair Computer Science 2 (CMP211) committee 1995-2008 Chair
Data Structures Committee (CMP251) 1995-2008.
Undergraduate
Courses
Introduction
to Language Processing (Compilers), Artificial Intelligence, Java, Computer
Science 1, Computer Science 2, Data Structures, Object Oriented Programming, Precalculus,
Elementary Mathematics, Assembly Language, Business Computing, Introduction to
Computing, Data Structures, Discrete Mathematics, Assembly Language, Computer
Architecture, Introduction to Programming.
Graduate
Courses
Computer
Vision, Syntactic Pattern Recognition, Pattern Recognition,
Image Analysis, Topics in Artificial Intelligence, Artificial
Intelligence.
Tau Beta Pi Engineering Society.
The Institute of Electrical and Electronics Engineers.
IEEE Computer Society.
National Council of Teachers of Mathematics.
Mathematics Association of America.
New York State Mathematics Association of Two-Year Colleges
American Mathematics Association of Two-Year Colleges
Association for Computing Machinery