CURRICULUM VITAE
Earned Degrees
Ph.D.
M.S. Virginia
Polytechnic Institute July
1980
and State University
B.S. Virginia
Polytechnic Institute December
1978
and State University
The
The
The
Virginia Polytechnic Institute Instructor August 1981-July 1982
and State University
Completed Ph.D. Students
·
Tzyy-Ping
Jung (co-advised with A. K. Krishnamurthy),
“An Algorithm for Deriving
an Articulatory-Phonetic
Representation," Winter 1993.
·
Daniel
Stewart (co-advised with L. C. Potter),
“Minimal Time-Frequency Localiza-
tion Techniques and Their Application to
Image Compression," Spring 1994.
·
Jim
Fowler, “Adaptive
Vector Quantization for the Coding of Nonstationary Sources," Fall 1996.
·
Aris
Galanopolous, “Analysis of Frequency
Sensitive Competitive Learning," Fall
1996.
·
Michael
Collins, “Generating Gestural Scores
from Acoustic Data Using Temporal
Decomposition," Summer
1998
·
William
Pierson, “Using Boundary Methods for Estimating Class Separability,"
Summer 1998
·
Junshui
Ma, “HRR ATR using Support Vector Machines, ” Summer,
2001.
Completed MSEE students
·
Yang
Xu, “An LL(1)
Binary Tree Grammar and its Parser Generator," June 1988.
·
Sarvajna
Kazi, “Stack
Organization of a Modular Architecture," December 1988.
·
Ahmed
Hajji, “An Alternative Design of a Stack Oriented Modular Architecture,"
December 1988.
·
Prakoon
Chen, “The Neural Shell: A Neural Networks Simulator," June 1989.
·
Christopher
L. Mills, “An LALR(1) Tree Grammar and Parser Generator," December
1988.
·
Tahsin
Mzaik, “Implementation of Remote Procedure Calls on the Hypercube," March
1989.
·
Mohammed
Ouslim, “Management of Overlapped-Register-Sets Using Dribble-Back
Cycles," March 1989.
·
Hang-Bong
Kang, “Design and Implementation of the Redundant File System," June
1989.
·
Tzyy-Ping
Jung, “Pattern Recognition Using Neural Networks," August 1989.
·
Ngoc
Trinh, “Convergence Analysis of the FSCL Network," June 1990.
·
Cheng-Taou
Chou, “Development of Neural Network Signal Processing Algorithms
on the Cray Y-MP8/64 Supercomputer,"
June 1990.
·
Mark
Hanes, “Artificial Neural Network Control of Force Distribution for Robotic
Power Grasp," (co-advised with D.
Orin), March 1991.
·
Amit
Mehrotra, “Qualitative Interpretation of Process Sensor Data using the ART-2
Model," (co-advised with J. Davis),
June 1991.
·
Surajit
Chakravarti, “Vector Quantization of Images Using Artificial Neural Net-
works," August 1991.
·
SureshBabu
Kuttuva, “An X Windows Interface for the Neural Shell Simulation Pro-
grams," August 1991.
·
Jerry
Starner, “Classification of Coaxially Viewed Weld Scenes Using a Modified
Frequency Sensitive Competitive Learning Artificial Neural Network,"
August 1991.
·
Jim
Fowler, “An Algorithm for Image Compression Using Differential Vector
Quantization," March 1992.
·
Matthew
Carbonara, “Differential Vector Quantization of Digital Image Data Using
Artificial Neural Network Codebook
Design," March 1992.
·
Tom
Little, “A User Customizable X Window System Interface for Neural Network
Simulation," March 1992.
·
James
Matheke, “Noise Immunity in a Hopfield Network," (co-advised with T.
Compton), March 1992.
·
Hong
Lu, “System Mimic of OSU Research Reactor," (co-advised with D. Miller,
Nuclear Engineering), August 1992.
·
David
J. Hermann, “Clustering and Compression of High-Dimensional Sensor Data,"
March 1993.
·
Michael
Collins, “Generating Gestural Scores from Articulatory Data using Temporal
Decomposition," March 1995.
·
H.
C. Chiang, “Linear Correlators for Image Pattern Classification," (co-advised
with R. L. Moses), December 1994.
·
Layne
Flake, “Multi-aperture SAR Target Detection using Hidden Markov Models,"
(co-advised with A. K. Krishnamurthy), March 1995.
·
Xiaomei
Liu, “Temporal Generalization of Simple Recurrent Networks," (co-advised with
D. Wang - CIS), December 1995.
·
Jun
Zhao, “3-D Orientation Vector Estimation for Space Object Imagery,"
December 1996.
·
Xun
Du, , “3-D Orientation Vector Estimation for
Sub-components of SOI Imagery," December 1997.
·
Mohammed
Qasem, “Locality Directed Vector Quantization, ”
December 1999.
·
Hrishikesh
Aradhye, “Face Localization in Moving Imagery,” December 1999.
·
Rodolfo
Marques Bellesi, “Adaptive Locality Directed Vector Quantization,” March, 2000
·
Shantanu
Bhardwaj, “Network Simulations,” July, 2002.
Chapters in edited books
1. S. C. Ahalt, F. D. Garber, I. Jouny,
and A. K. Krishnamurthy, “Performance of Synthetic Neural Network
Classification of Noisy Radar Signals," in Advances in Neural Information Processing Systems, Morgan Kaufman,
New York, vol. 1, pp 281-288, 1989, (Refereed).
2. Stanley C. Ahalt, Tzyy-Ping Jung,
and Ashok K. Krishnamurthy, “A Comparison of MLP and FSCL-LVQ Neural Networks
for Vowel Classiffication," in Neural
Networks, vol. III, pp. 124-143, Prentice Hall, 1991 (Invited).
3. Stanley C. Ahalt, Stuart A. Collins,
Ashok K. Krishnamurthy, and Daniel F. Stewart, “Optical
Implementation of Closest Vector Selection in Neural Networks: Applications and
Implementation," in Progress in
Neural Networks, Omid Omidvar (ed.), Ablex Publishers, 1994, (Invited and
refereed).
4. Aristedes S. Galanopolous,
James E. Fowler, Jr., and Stanley C. Ahalt, “Vector Quantization
using Artificial Neural Network Models,” in Signal
Processing in Telecommunications, E. Biglieri and M. Luise (eds), Springer
Verlag, London, pp. 346-357, 1996, (Invited and refereed).
5. José
Luis Sancho, Batu Ulug , Aníbal Figueiras-Vidal, William Pierson,
and S. C. Ahalt, “Boundary Methods for Distribution Analysis," in Intelligent Methods in Signal Processing and
Communications, F. P. Gonzalez (ed), Birkhauser, Boston, MA, 1996. (Refereed).
6. José
L. Sancho, William E. Pierson, Aníbal R. Figueiras-Vidal, Stanley C. Ahalt,
“Boundary Methods for Statistical Pattern Classification”, in Recent Advances in Neural Networks,
Chapter 7. Editors: D. Andina, F. Ballesteros. Ed. International Institute of
Informatics and Systemics, IIS press, pp. 231-259,
7. D.
Prabhu, S. Ahalt, and A. Krishnamurthy, “High-Performance Computing in
Signal and Image Processing, “ in Sourcebook of Parallel Computing,
Morgan Kaufman Publishers, pp. 243-248, 2002 ISBN 1-55860-871-0.
8. Honglin Li, Yi Zhao, José-Luis
Sancho-Gómez, and Stanley Ahalt, “Annotation, Storage,
Retrieval and Analysis of Digital Video,” in Integrated Media Communication Techniques, Kluwer, Dec. 2002.
Bulletins and technical reports
1.
S. C. Ahalt and T. P. Jung, “Large Neural Networks: Simulation and
Analyses,"
Final Report, Cray Research, Inc. April 1990.
2.
S. C. Ahalt, P. Chen, and T. P. Jung, “The Design of the
Neural Shell," Final
Report, Cray Research, Inc., December 1988.
3.
J. F. Leathrum, S. C. Ahalt, “
port,"
July 1985.
4.
S. C. Ahalt,”HDLC Interfaces for Two Microprocessors,"
Technical
Report, January 1981.
5.
S. Ahalt, “Characterizing the Propagation Medium Using a Dual Polarized Commu-
nications Receiver," in NASA Final Project
Report, August 1980.
Peer reviewed journal
articles
1.
“Competitive Learning Algorithms for
Vector Quantization," Neural Networks vol. 3,
no. 3, pp. 277-290, May 1990.
2.
Ashok K. Krishnamurthy,
“Neural Networks for Vector Quantization
of Speech and Images," IEEE Journal
on
Selected Areas in Communication, vol. 8, no. 8, pp. 1449-1457, October
1990.
3.
Christopher Mills ,
Simulation," The Journal of Software-Practice and
Experience, vol. 21, no. 8, pp.
877-899, March 1991.
4.
plementation of a Vector Quantization Codebook Design
Technique Based on a Com-
petitive Learning Artificial Neural
Network," The Journal of
Supercomputing, no. 5,
pp. 307-330, 1992.
5.
Mark D. Hanes ,
Force Distribution Control Using
Artificial Neural Networks," The
Journal of Robotic
Systems,
vol. 9, no. 5, pp. 635-661, 1992.
6.
E. Little ,
“The Neural Shell: A Neural Network Simulation Tool," International
Journal
for Engineering Applications of Artificial Intelligence, Special Issue on
Neural
Networks and Parallel Processing, vol. 5, no. 3, pp. 183-192, 1992.
7.
thetic Neural Networks," IEEE Transactions on Aerospace and
Electronics Systems,
vol. 29, no. 2, pp.
336-344, 1993.
8.
Stuart A. Collins,
“Optical Implementation and Applications
of Closest Vector Selection in Neural Net-
works," Applied Optics - Special Issue on Neural Networks, vol. 32, no. 8,
pp. 1297-
1303, 1993.
9.
James E. Fowler , Matthew R. Carbonara
, and
using Differential Vector Quantization," IEEE Transactions on Circuits and Systems
for Video Technology, vol. 3, no. 5, pp. 350-367, 1993.
10.
Stanley C. Ahalt, James F. Leathrum, “A Code Generation Methodology using Tree
Parsers and High-Level Intermediate
Representations," Journal of
Programming Lan-
guages,
Chapman and Hall Publishers,
11.
Mark D. Hanes ,
netic Mapping using Recurrent Neural
Networks," IEEE Transactions on
Neural Net-
works,
vol. 5, no. 4, pp. 659-662, July 1994.
12.
Mary E. Beckman, Tzyy-Ping Jung ,
Sook-hyang Lee , Kenneth de Jong, Ashok K.
Krishnamurthy,
“Variability in the Production of Quantal
Vowels Revisited," Journal of the
Acoustical
Society
of
13.
Daniel F. Stewart , Lee C. Potter, and
Real Gabor Transforms," IEEE Transactions on Signal Processing,
vol. 43, pp. 77-84,
January 1995.
14. James E. Fowler ,
Kenneth C. Adkins , Steven B. Bibyk and Stanley C. Ahalt, “Real-Time
Video Compression Using Differential Vector Quantization," IEEE Transactions on Circuits and Systems for Video Technology,
vol. 5, no. 1, pp. 14-24, February 1995.
15.
Matthew J. Sheridan ,
Robotic Power Grasp," Journal of Advanced Robotics, vol. 9,
pp. 435-546, October
1995.
16.
Tzyy-Ping Jung , Ashok K. Krishnamurthy,
and Sook-hyang Lee , “Deriving
Gestural Scores from Articulator-Movement Records
using Weighted Temporal Decomposition," IEEE Transactions on Speech and
Audio
Processing, vol. 4, no. 1, pp. 2-18, January 1996.
17.
Aristedes S. Galanopoulos and
quency Sensitive Competitive Learning with One
Dimensional Input Data," IEEE
Transactions
on Neural Networks, vol.
7, no. 3, pp. 752-756, May 1996.
18.
James R. Whiteley , James F. Davis, Amit
Mehrotra , and
vations and Problems Applying ART2 for Dynamic
Sensor Pattern Interpretation,"
IEEE
Transactions on Systems, Man, and Cybernetics, vol. 26, no. 4, pp. 423-437,
July 1996.
19.
DeLiang Wang, Xiaomei Liu , and
of Simple Recurrent Networks," Neural Networks, vol. 9, no. 7, pp.
1099-1118, 1996.
20.
L. R. Flake , S. C. Ahalt, and A. K.
Krishnamurthy, “Detecting Anisotropic scattering
with Hidden Markov Models," IEE Proceedings: Radar, Sonar and Navigation,
vol.
144, no. 2, pp. 81-86, April 1997.
21.
Aristedes S. Galanopoulos ,
Approximation of Frequency Sensitive
Competitive Learning," IEEE Transactions
on
Neural
Networks, vol. 8, no. 5,
pp. 1026-1030, September 1997.
22.
Batuhan Ulug , Stanley C. Ahalt and Rick
Mitchell, “Efficient ATR using Compres-
sion," IEEE Transactions on Aerospace and Electronic Systems, vol. 33, no.
4, pp.
1199-1211, October 1997.
23.
M. Hisham Choueiki ,
Quasi Optimal Neural Network to Solve the
Short-Term Load Forecasting Problem,"
IEEE
Transaction on Power Systems,
vol. 12, no. 4, pp. 1432-1439, November 1997.
24.
M. Hisham Choueiki ,
ing a Weighted Least Squares Procedure to
Solve the Short-Term Load Forecasting
Problem with Neural
Networks," IEEE Transactions on
Power Systems, vol. 12, no.
4, pp. 1689-1694, November 1997.
25. Xun Du and
Estimation for Sub-Components of Space
Object Imagery," in Optical
Engineering, Special Issue on Advances in Recognition Techniques, March,
1998.
26. M. J. Collins and A. K. Krishnamurthy and S. C. Ahalt,
“Generating Gestural Scores from Articulatory Data Using Temporal
Decomposition," IEEE Transactions on
Speech and Audio Processing, vol. 7, no. 2, pp. 230-234, March, 1999.
27. J. L. Sancho and William
E. Pierson and Batu Ulug and Stanley C. Ahalt, and A. R. Figueiras-Vidal,
“Class Separability Estimation and Incremental Learning using Boundary
Methods," in Neurocomputing,
vol. 35, no. 1-4, pp 3 –26, Nov., 2000.
29.Adriana Dapena and Stanley C. Ahalt, “A hybrid DCT-SVD image
coding algorithm,” in IEEE
Transactions on Circuits and Systems for Video Technology, vol. 12, no. 2,
pp 114-121, Feb. 2002.
30 C. He, Y.F. Zheng, and S.C. Ahalt, "Object
tracking using the Gabor wavelet transform
and the golden section algorithm," IEEE Transactions on Multimedia,
Vol. 4, No. 4, December, 2002, pp. 528-538.
31. Junshui Ma, Xun Du,
and
32. Junshui Ma, Jose L. Sancho-Gomez, and Stanley C. Ahalt,
“Non-linear Multi-class Discriminant Analysis” accepted for publication in
IEEE Signal Processing Letters. July, 2003.
Editor reviewed journal
articles
1. S. Ahalt, “SIP Forum 2000” in ASC MSRC
Journal, vol. 4.2, Fall, 2000, p.21 (edited
journal).
2. M. D. Hanes, S. C. Ahalt, K. Mirza, and
D. E. Orin, “The use of ANN for Robot Grasping Control," Visions, Issue 3.4, pp. 7-11, Fall 1990. (Visions
is the quarterly publication of the
3. D. Olson, S. C. Ahalt, R. Barga, and G.
Wilcox, “Artificial Neural Network Simulation on Cray Systems," Cray Channels, vol. 11, no. 2, pp.
20-23, 1989. (Cray Channels is a
publication of Cray Research, Inc.)
4. M. D. Hanes and S. C. Ahalt, “Cray
Supercomputers and Neural Networks," Visions,
Issue 3.3, pp. 12-15, Summer 1990. (Visions is the
quarterly publication of the
Papers in proceedings
1.
Honglin Li, Yi Zhao, and Stanley C. Ahalt, “Video Markup
Language (VideoML) – an XML-based Markup Language for Video Annotation and
Analysis,” Proceedings of the 2002 HPCMO Users Groupp Conference, June 18-21m
2002m Austin, TX.
2.
Honglin Li, Yi Zhao, José-Luis Sancho-Gómez and Stanley C. Ahalt, “Spatio-temporal Structure Analysis on Motion
Imagery using a Syntactic Approach, to appear in the Proceedings of the
World Affairs Congress, June 12-14, 2002, Orlando, FL.
3.
H.
Li, J. Ma, Y. Zhao, and S. C. Ahalt, “Kernel-based Feature Extraction,” Proceedings of SPIE Vol. 4726, Automatic
Target Recognition X!!, Aerosense, April 2002, Orlando, FL.
4.
S.
C. Ahalt, X. Du, and H. Li, “Content-based image and video compression,” Proceedings of SPIE Vol. 4727, Algorithms for
Synthetic Aperture Radar Imagery, IX, Aerosense, April 2002, Orlando, FL.
5.
H.
Li, J. L. Sancho Gomez, and S. C. Ahalt, “Kernal-based discriminant feature
extraction using representative data,” Proceedings of SPIE Vol. 4729, Signal Processing, Snsor Fusion, and
Target Recognition XI, Aerosense, April 2002, Orlando, FL
6.
Y.
Zhao, H. Li, and S. C. Ahalt, “ Multiclass Kernal-based feature extraction,” Proceedings of SPIE Vol. 4730, Data Mining
and Knowledge Discovery: Theory, Tools, and Technolgy IV, Aerosense, April 2002, Orlando, FL
7. Junshui Ma, Simon Perkins, and James
Theiler Stanley Ahalt, “Modified Kernel-based Nonlinear Feature
Extraction”, accepted for publication in Proceedings of the 2002 International
Conference on Machine Learning and Applications (ICMLA'02),
8.
Junshui Ma and Stan Ahalt, "Parameter
Estimation Algorithms Based On A Physics-based HRR Moving Target Model,"
in the Proceedings of Algorithms for
Synthetic Aperture Radar Imagery VII, SPIE Aerosense, April 2001, Orlando,
FL.
9.
He,
Chao / Dong, Jianyu / Zheng, Yuan F. / Ahalt, Stanley C. Object Tracking Using
the Gabor Wavelet Transforms and the Golden Section Algorithm ICRA2001 in
Seoul, Korea.
10. Junshui Ma, Honglin Li, and
11. Xun Du, Honglin Li, and Stanley C. Ahalt,
“Content-Based Image Compression,” Proceedings of the 2001 SPIE Aerosense
Conference: Algorithms for Synthetic
Aperture Radar Imagery VIII, Orlando, FL, April 15-19, 2001.
12. H. B. Aradhye,
J. F. Davis, B. R. Bakshi, and S. C. Ahalt, “ART-2 and Multiscale ART-2 for
on-line Process Fault Diagnosis – Validation via Industrial Case Studies,” to
appear in the Proceedings of the 4th IFAC Workshop on On-Line
Fault Detection and Supervision in the Chemical Process Industries, June
7-8, 2001, Jejudo Island, Korea.
13. Junshui Ma and
Stan Ahalt, "Derivation of Physics-based HRR Moving Target Models" in
the Proceedings of Signal
Processing, Sensor Fusion, and Target Recognition IX, SPIE Aerosense, April 2000,
14. Junshui Ma and
Stan Ahalt, "An analysis of complex HRR range signatures," in the Proceedings
of Targets and
Backgrounds VI: Characterization, Visualization, and the Detection Process,
SPIE Aerosense, April 2000,
15. Stanley C.
Ahalt, Xun Du, and Adriana Dapena, ``Content-Based Image Compression for ATR
applications,'' in the Proceedings of Algorithms for Synthetic Aperture
Radar Imagery VII, SPIE Aerosense, April 2000,
16. Adriana Dapeena and Stanley C. Ahalt, “An
Online Image Compression Algorithm Using Singular Value Decomposition and
Adaptive Vector Quantization” in the Proceedings of EUSIPCO 2000, 5 – 8
September, Tampere, Finland
17. X. Du, J. Ma, S. C. Ahalt, and B. E.
Stribling, “Eigen-indexing in Satellite Recognition," Conference on
“Automatic Target Recognition IX," SPIE's AeroSense `99 Orlando, Florida,
April 5-9, 1999.
18. Loevenbruck,
H., Collins, M. J., Beckman, M. E., Krishnamurthy, A.K.,&
19. B. Ulug and S. C. Ahalt, “HRR ATR Using
VQ Classification," Conference on “Automatic Target Recognition IX,"
SPIE's AeroSense `99 Orlando, Florida, April 5-9, 1999.
20. M. Qasem, X. Du, and S. C. Ahalt,
“Efficient Codebook Search for Vector Quantization: Exploiting inherent
Codebook Structure," Conference on “Visual Information Processing
VIII," SPIE's AeroSense `99 Orlando, Florida, April 5-9, 1999
21. W. E. Pierson, B. Ulug, and S. C. Ahalt,
“Boundary Methods for Mode Estimation,” Conference on Algorithms for Synthetic
Aperature Radar Imagery VI," SPIE AeroSense `99 Orlando, Florida, April
5-9, 1999.
22. H. Loevenbruck and M. Collins and M.
Beckman and A. Krishnamurthy and S. C. Ahalt, “Syllable Structure and Gesture
Timing," in the Proceedings of Linguistics and Phonetics, Columbus, OH,
Sept 19-20, 1998.
23. Stanley Ahalt and Xun Du and Bruce
Stribling, “Advanced Techniques for Estimating and Refining Orientation Vectors
of Space Object Imagery," in the Proceedings of the 1998 Space Control
Conference, Lexington, MA, April, 1998.
24. Stanley Ahalt and Xun Du and Bruce
Stribling, “Estimating and Refining Orientation Vectors for Sub-Components of Space Object
Imagery," in the Proceedings of the 1998
SPIE conference on Automatic Target Recognition, Orlando, FL, April,
1998.
25. J. L. Sancho, W. E. Pierson, B. Ulug, S.
C. Ahalt, and Figueiras-Vidal, A.R. “Feature Set Evaluation and Robust Neural
Networks using Boundary Methods" in Proceedings of the World
Multiconference on Systems, Cybernetics, and Informatics and The International
Conference on Information Systems Analysis and Synthesis, Orlando, FL, July 12
- 16, 1998
26. B. Pierson, B. Ulug, S. C. Ahalt, J. L.
Sancho and A. Figueiras-Vidal, “Theoretical and Complexity Issues for Feature
Set Evaluation using Boundary Methods," in Proceedings of the 1998 SPIE
Conference on Automatic target Recognition VII, ATR Theory and Performance
Estimation, April 13 - 17, 1998, Orlando, FLA.
27. X. Du, S. C. Ahalt, and Bruce Stribling,
"Advanced Techniques for Estimating & Refining Orientation Vectors of
Space Object Imagery, " in Proceedings of the 16th
MIT/LL Space Control Conference,
28. X. Du, S. C. Ahalt, and Bruce Stribling,
"Estimating and Refining Orientation Vectors for Sub-Components of Space
Object Imagery, " in Proceedings of SPIE
vol.3371, (
29. X. Du, S. C. Ahalt, and B. Stribling,
“3-D Orientation Vector Estimation for SubComponents of Space Object
Imagery," in Proceedings of the 1997
MIT/LL Space Control Conference, pp. 110-128, Lexington, MA, March 25-27,
1997 (refereed).
30. B. Pierson, B. Ulug, S. C. Ahalt, J. L.
Sancho and A. Figueiras-Vidal, “Using Boundary Methods as Ordering Indices on
ATR Feature Sets," in the Proceedings
of the 1997 SPIE Conference on Automatic Target Recognition VII, ATR Theory
& Performance Estimation, vol. 3070, pp. 173-184, Orlando, FL, April
1997 (abstract refereed).
31. X. Du, J. Zhao, S. C. Ahalt and B.
Stribling, “3-D Orientation Vector Estimation for Sub-Components of Space
Object Imagery," in the Proceedings
of the 1997 SPIE Conference on Signal Processing, Sensor Fusion, and Target
Recognition, pp. 395-405, Orlando, FL, April 1997 (abstract refereed).
32. J. E. Fowler and S. C. Ahalt, “Adaptive
Vector Quantization Using GeneralizedThreshold Replenishment," in the Proceedings of the 1997 Data Compression
Conference, pp. 317-326, Snowbird, UT, March 1997 (refereed).
33. J. E. Fowler and S. C. Ahalt, “Image-Sequence Coding with
Generalized Threshold Replenishment - A New Algorithm For Adaptive Vector
Quantization," in the Proceedings of
the 1997 SPIE Conference on Visual Information Processing, vol. 3074, pp.
64-71, Orlando, FL, April 1997 (abstract refereed).
34. J. E. Fowler and S. C. Ahalt, “Adaptive Vector
Quantization of Image Sequences using Generalized Threshold
Replenishment," in the Proceedings
of the IEEE ICASSP, pp. 3085-3088, Berlin, Germany, April 1997 (refereed).
35. J. L. Sancho, A. R. Figueiras,
B. Ulug, W. Pierson, and S. C. Ahalt, “Distribution Analysis Using
Boundary Methods," Proceedings of
the 1996 IEE Conference on Mathematics in Signal Processing, University
ofWarwick, England, December 17-19, 1996 (refereed).
36. M. D. Hanes, D. E. Orin, and
S. C. Ahalt, “Fuzzy and Neural Network Control of Object Acquisition for Power
Grasp," in Proceedings of the 1996
SPIE Conference on Applications and Science of Artificial Neural Networks II,
vol. 2760, pp. 262-272, Orlando, FL, April 1996 (abstract refereed).
37. J. Zhao, S. C. Ahalt, and B.
E. Stribling, “3-D Orientation Vector Estimation from Satellite Imagery,"
in Proceedings of the 1996 SPIE
Conference on Signal Processing, Sensor Fusion, and Target Recognition
(Ivan Kadar, Chair), vol. 2755, pp. 472-483, Orlando, FL, April 1996 (abstract
refereed).
38. H-C. Chiang, R. L. Moses, L.C.
Potter, S. C. Ahalt, “Statistical properties of linear correlators for image
pattern classification with application to SAR imagery," in the Proceedings of the SPIE conference on
Synthetic Aperture Radar Imagery II, (Dominick A.Giglio, Chair), vol. 2490,
pp. 266-277, Orlando, FL, April 1995 (abstract refereed).
39. L. Flake, A. K. Krishnamurthy,
and S. C. Ahalt, “Multi-aperture SAR Target Detection using Hidden Markov
Models," in the Proceedings of the
SPIE conference on Synthetic Aperture Radar Imagery II, (Dominick A.
Giglio, Chair), pp. 300-311, Orlando, FL, April 1995 (abstract refereed).
40. Batuhan Ulug, Jun Zhao,
and Stanley C. Ahalt, “The Use of Radial Basis Function Classifiers for SAR
data," in the Proceedings of the
SPIE conference on Signal processing, Sensor Fusion, and Target Recognition IV,
(Ivan Kadar, Chair), pp. 583-594, Orlando, FL, April 1995 (abstract refereed).
41. Xiaomei Liu, DeLiang Wang, and
Stanley C. Ahalt, “On the temporal generalization capability of simple
recurrent networks," in Proceedings
of the 1995 SPIE conference on Applications and Science of Artificial Neural
Networks IV, (Steve Rogers, Chair), pp. 392-403, Orlando, FL, April 17-21,
1995 (invited).
42. Batu Ulug, S. C. Ahalt, and R.
L. Mitchell, “Model-Catalog Compression for Radar Target Recognition," in
the Proceedings of the 1995 ICASSP,
pp. 3479-3482, Detroit, MI, May 1995 (refereed).
43. Hung-Chih Chiang, Randolph L. Moses, Lee
C. Potter, and Stanley C. Ahalt, “Analysis and Modification of Linear
Correlators for Image Pattern Classification," in the Proceedings of the 1995 ICASSP, Detroit, MI, May 1995 (refereed).
44. M. D. Hanes, S. C. Ahalt, and
D. E. Orin, “Intelligent Control of Object Acquisition for Power Grasp,"
in IEEE International Symposium on
Intelligent Control, pp. 303-308, Columbus, OH, August 1994 (invited).
45. J. E. Fowler, K. C. Adkins,
S. B. Bibyk, and S. C. Ahalt, “Differential Vector Quantization of Real-Time
Video using Entropy-biased ANN Codebooks," in Proceedings of the IEEE International Conference on Neural Networks,
vol. 3, pp 1871-1876, Orlando, FL, June 28-July 2, 1994 (invited).
46. S. C. Ahalt and J. E. Fowler,
“Real-time Video Compression using Entropy-biased ANN codebooks," Proceedings of the SPIE Conference on
Applications of Neural Networks, vol. 2243, pp 254-265, Orlando, FL, April
1994 (invited).
47. J. E. Fowler, and S. C. Ahalt,
“Differential Vector Quantization of Real-Time Video," in the Proceedings of the IEEE International
Conference on Neural Networks, Orlando, FL, June 28-July 2, 1994 (abstract
refereed).
48. J. E. Fowler, and S. C. Ahalt,
“Differential Vector Quantization of Real-Time Video," in Proceedings of the IEEE Data Compression
Conference, pp. 205-214, Snowbird, UT, March 29-31, 1994 (refereed).
49. C. H. Ying, S. C. Ahalt and R. L. Moses,
“Maximum Likelihood Parameter Estimation of Exponential Signals Using
Artificial Neural Networks," in Proceedings
of the World Conference on Neural Networks, Portland, OR, July 12-16, 1993
(refereed).
50. S. C. Ahalt and J. E. Fowler,
“Vector Quantization using Artificial Neural Network
Models," in Proceedings of the
International Workshop on Adaptive Methods and Emergent Techniques for Signal
Processing and Communications, pp. 42-61,
51. J. E. Fowler, and S. C. Ahalt,
“Robust Variable Bit-rate Coding Using Entropy biased Codebooks," in Proceedings of the IEEE Data Compression
Conference, pp. 361-370, Snowbird, UT, March 30 - April 1, 1993,
(refereed).
52. J. E. Fowler, M. R. Carbonara,
and S. C. Ahalt, “Robust High-Fidelity Coding Technique Based on Entropy Biased
ANN Codebooks," Proceedings of the
SPIE Conference on the Science of Artificial Neural Networks II, pp.
109-117, Orlando, FL, April 1993 (invited).
53. D. Hermann, S. C. Ahalt, and
R. Mitchell, “Clustering and Compression of High-Dimensional Sensor Data,"
Proceedings of the SPIE Conference on
Signal Processing, Sensor Fusion, and Target Recognition II, pp. 286-297,
Orlando, FL, April 1993 (abstract refereed).
54. S. Chakravarti, T. Little,
and S. C. Ahalt, “Real-Time Causal Edge Detector Based on Edge Prediction,"
in International Digital Signal
Processing Applications and Technology, Cambridge, MA, November 2-5, 1992.
55. Tom E. Little, and S. C.
Ahalt. “A User Customizable X Window System Interface for Neural Network
Simulation," in Proceedings of the
IEEE Conference onTools for Artificial Intelligence, pp. 456-457, Herndon,
VA, November 10-13, 1992 (refereed).
56. S. Chakravarti, T. Little, and S. C. Ahalt, “A Real-Time Causal Edge
Detector Based on Prediction" Proceedings
of the Canadian Conference on Electrical and Computer Engineering, pp.
MA3.10.1-MA3.10.4,
57. M. R. Carbonara, J. E. Fowler,
and S. C. Ahalt, “Compression of Digital Video Data using Artificial Neural
Network Differential Vector Quantization," in Proceedings of the Society of Photo-Optical Instrumentation Engineers,
Orlando, FL, April 1992 (abstract refereed).
58. A. K. Krishnamurthy, S. B. Bibyk and S.
C. Ahalt, “Video Data Compression Using Artificial Neural Network Differential
Vector Quantization," Proceedings of
the Space Communications Technology Conference, pp. 95-101, Cleveland, OH,
November 1991.
59. M. D. Hanes, S. C. Ahalt, and
D. E. Orin, “Design of a Neural Network Power Grasp Controller," in Mechanics Computing in the 1990's and
Beyond: Proceedings of the ASCE Engineering Mechanics Specialty Conference,
vol. 1, pp. 73-77, Columbus, OH, May 1991.
60. S. Ahalt, “Vector Quantization using
Artificial Neural Network Models," Proceedings
of the International Workshop on Adaptive Algorithms: Applications and
Nonclassical Schemes, pp. 111-130, Bayona, Spain, March 13-15, 1991
(invited).
61. S. Chakravarti, T. P. Jung,
S. C. Ahalt, and A. K. Krishnamurthy, “Comparison of Prediction Methods for
Differential Image Processing Applications," Proceedings of the IEEE International Conference on Systems Engineering,
pp. 210-213, Dayton, OH, August 1991.
62. M. D. Hanes, S. C. Ahalt, K.
Mirza, and D. E. Orin, “Neural Network Control of Force Distribution
for Power Grasp," in Proceedings of
the IEEE International Conference on Robotics and Automation, pp. 746-751,
Sacramento, CA, April 7-12, 1991 (refereed).
63. S. C. Ahalt, P. Chen, and C.
T. Chou, “The Neural Shell: A Neural Network Simulation Tool,"
in Proceedings of the 2nd International
IEEE Conference on Tools for Artificial Intelligence, pp. 118-124, Herndon,
VA, November 6-9, 1990 (refereed).
64. S. A. Collins, A. K. Krishnamurthy, D.
Stewart, and S. C. Ahalt, “An Optical System for Closest Vector
Selection with Applications to Neural Networks," in Proceedings of the 15th Congress of the International Commission for
Optics in Complex Systems, SPIE vol. 1319, pp. 204-205,
Garmisch-Partenkirchen, Germany, August 5-10, 1990 (refereed).
65. S. C. Ahalt, T. P. Jung, and
A. K. Krishnamurthy, “A Comparison of Radar Signal Classifiers," in Proceedings of the IEEE International
Conference on Systems Engineering, pp. 609-612, Pittsburgh, PA, August
1990.
66. T. P. Jung, A. K.
Krishnamurthy, and S. C. Ahalt, “The Effects of Distortion Measures and Feature
Sets on Neural Network Classifiers," in Proceedings of the International Joint Conference on Neural Networks,
pp. 251-256, San Diego, CA, June 1990 (refereed).
67. M. D. Hanes, S. C. Ahalt, K.
Mirza, and D. E. Orin, “A Neural Network Interface to the DIGITS
System," in Proceedings of the International
Joint Conference on Neural Networks, pp. 343-348, San Diego, CA, June 1990
(refereed)
68. A. K. Krishnamurthy, S.C. Ahalt, P. Chen,
and D. Melton, “Vector Quantization Using Frequency Sensitive
Competitive Learning Neural Networks," in Proceedings of the IEEE International Conference on Systems Engineering,
pp. 131-134, Dayton, Ohio, August, 1989.
69. S. C. Ahalt, T. P. Jung, and
A. K. Krishnamurthy, “Radar Target Identification using
the Learning Vector Quantization Neural Network," in Proceedings of the International Joint Conference on Neural Networks,
pp. 605 (Abstract),
70. S. C. Ahalt, P. Chen, and A.
K. Krishnamurthy, “Performance Analysis of Two Image Vector Quantization
Techniques," in Proceedings of the
International Joint Conference on Neural Networks, pp. 169-175, Washington,
D.C., June 1989 (refereed).
71. S. C. Ahalt and R. O. Claus, “Effect of
Spherical Inclusion Defects Upon Propagation of Laser Light in Isotropic
Solids," in Proceedings of the IEEE
1979 Region 3 Conference, Roanoke, VA, April 1979.
Unpublished scholarly presentations
J.
Fowler, S. Ahalt, “Variable Bit Rate Coding using Entropy Biased VQ
codebooks," presented at the 2nd NASA Space Communications Systems
Symposium, Cleveland, OH, October 1992
T.
P. Jung, A. K. Krishnamurthy, S. C. Ahalt, K. D. deJong, S. Lee, and M. E.
Beckman, “Relating Formant Variability to Vowel Constriction Features Extracted
from Pellet Positions," presented at the 122nd meeting of the Acoustical
Society of America, Journal of the
Acoustical Society of America, Houston, TX, April 29 - May 3, 1992
(refereed).
S. C. Ahalt, A. K. Krishnamurthy, T. P. Jung, M. E. Beckman, K. D. DeJong, and S. Lee, “Translating pellet positions into constriction features," presented at the 121st meeting of the Acoustical Society of America, Journal of the Acoustical Society of America, Baltimore, MD, April 29-May 3, 1991 (refereed).
S.
A. Collins, A. K. Krishnamurthy, S. C. Ahalt and D. Stewart, “Optical Unit for
Performing Closest Vector Selection for Application to Neural Networks,"
presented at the annual meeting of the Optical
Society of America, Boston, MA, November 4-9, 1990 (refereed).
A.
K. Krishnamurthy, S. C. Ahalt, D. Melton, and P. Chen, “A New Neural Network
Learning Algorithm for Vector Quantization," presented at the Sixth IEEE International Workshop on
Microelectronics and Photonics in Communications, Cape Cod, MA, June 1989
(refereed).
S.
C. Ahalt, F. D. Garber, I. Jouny, and A. K. Krishnamurthy, “Performance of
Synthetic Neural Network Classification of Noisy Radar Signals," presented
at the IEEE Conference on Neural
Information Processing Systems, Denver, CO, November 1988 (refereed).
P.
Chen and S. Ahalt, “The Neural Shell," presented at the OSC Symposium on Supercomputing,
Columbus, OH, September 1988.
Invited and
Honorary Presentations:
Invited speaker, European
Project COST#276, Conference on Multimedia Communications, "Video Indexing
and Annotation", Carlos III University, Madrid, Spain, November, 2001
"ART-2
and Multiscale ART-2 for On-Line Process Fault Diagnosis - Validation via
Industrial Case Studies and Monte Carlo Simulation" selected as a KEYNOTE PRESENTATION
in the 4th IFAC Workshop on On-Line Fault Detection & Supervision in the Chemical
Process Industries,
Invited workshop
presentation: “Observing and encoding key characteristics: the challenge of
feature discovery," July 29th, 1999, Laredo, Spain.
Invited lecture:
"Estimating the orientation of Satellite components from ground based
images," Universidad de Carlos III de Madrid, July 26th, 1999,
Madrid, Spain
Invited lecture "Content-based image compression: initial results and
observations," Universidad de Carlos III de Madrid, July 27th,
1999, Madrid, Spain
Invited Lecture: “Load-forecasting using non-linear time-series prediction," REE (Na-tional Electric Corporation of Spain), June 12, 1996, Madrid, Spain.
Invited
Lecture: “Vector Quantization of Real-Time Video Sequences," Telefonica
(National Telephone Company of Spain), March 15, 1996, Madrid, Spain.
Invited Lecture: “Vector Quantization of
Real-Time Video Sequences," Universidad La Corũna,
Invited Lecture: “Boundary Methods,"
Universidad Automata de Madrid,
Short
Course: “Parallel Computing," Universidad de Carlos III, March 7-9, 1996,
Madrid, Spain.
Short
course: “Parallel Computing and Military Electronics," Society of Military
Electronics, September 6-8, 1995, Madrid, Spain.
Invited lecture: “Statistical Properties of Vector Quantization for Image Compression," Ohio State University Statistics Department, October 17, 1995, Columbus, OH.
Invited presentation: “Vector
Quantization Using Artificial Neural Network Models," 7th Tyrrhenian Workshop on Digital Communications,
Keynote
Presentation:
Plenary
Presentation: “Real-time video compression using entropy-biased ANN
codebooks," 1995 SPIE Conference, April 9, 1994, Orlando, FL.
Invited
Lecture: “Image Compression using Vector Quantization based on ANN
models," Universidad Polytecnica de Madrid, E.T.S.I. de Telecommunicacion,
June 21, 1993, Madrid, Spain.
Invited Tutorial: “Image Compression, ANN
models and Vector Quantization," presented at the EEC Research Programme WG.2 Workshop on Adaptive Algorithms,
Plenary
Presentation: “Robust Variable Bit-rate Coding Using Entropy-biased
Codebooks," 1993 SPIE Conference, April 21, 1993, Orlando, FL.
Invited
Presentation: “Robust high-fidelity coding based on entropy biased ANN
codebooks," Neural Networks
for Physicists Workshop, Theoretical Physics Institute,
Invited Lecture: “Video Data Compression
Using the FSCL Neural Network,"
Invited Tutorial: “Speech and Image Rate Reduction using ANN Vector Quantization," presented at
the EEC Research Programme WG.2 Workshop
on Adaptive Algorithms,
Invited Lecture: “Speech and Image Rate Reduction
using ANN Vector Quantization" presented at the Universidad Polytecnica de
Madrid, E.T.S.I. de Telecommunicacion,
Invited
panel member: “Neural Networks and Supercomputing," Supercomputing World Conference, San Diego, CA, July 1990.
Invited Lecture: “Adaptive Vector
Quantization,"
Invited Workshop Discussion Leader:
Neural Information Processing Conference, December 1988,
Invited
Lecture: “Neural Networks: Background and Applications," Department of
Optometry, Ohio State University, October 20, 1988, Columbus, OH.
Invited
Lecture: “Neural Networks: Background and Applications," Department of
Nuclear Engineering, Ohio State University, October 13, 1988, Columbus, OH.
Funded research: principal investigator
(Co-Principle Investigator with Ashok
Krishnamurthy) “High Performance Computer Modernization
Program. Comp 1 Task 5, Component 2 Task 5, and continuations” from DoD
HPCMO via MSU, $707,957, RF 744077, 743348, 743649, 743648, 742299, 742298, 742297,
742296, 742295, and 742294 . Responsible for 50%.
(Co-Principle Investigator with Ashok
Krishnamurthy) “Support for the SIP PET Program,” from ARL via Raytheon,
$325,408,
(Co-Principle Investigator with Ashok
Krishnamurthy) “Support for the SIP PET Program,” from ARL via Raytheon,
$312,008, Aug. 21, 1999 – Aug 3, 2000, RF 737895 and 737896. Responsible for $186,093.
(Principal
Investigator) “Unified Design of 1-D Automatic Target Recognition Systems for
Surveillance and Attack," from Mission Research Corporation for DARPA AFRL
project, $130,184, June 30, 1998-June 30, 2000, RF 736077.
(Principal
Investigator) “HRR TOS/TOM Features and Classifiers using
Boundary Methods," from Air Force Office of Scientific Research, $119,393,
(Principal
Investigator) “HRR TOS/TOM Features and Classifiers using
Boundary Methods," from Sverdrup Technology, $120,000 ceiling, $25,000
authorized funds,
(Co-principal Investigator with Raj Jain
(CIS)) “Compressed Video via ATM: Enabling Technology for
Imaging Applications," OSU Targeted Interdisciplinary Seed Grant, $55,000,
(Principal
Investigator) “Support of research in Boundary Methods,"
Frontier Technology, Inc., $12,600,
(Principal
Investigator) “Image Processing and Pattern Recognition Tools for Satellite
Imaging," Air Force Maui Optical System, $76,183, July 1, 1996-April 27,
1998, RF732703.
(Principal
Investigator) “Automatic Target Recognition (ATR) Image Processing and Pattern
Recognition Tools for AMOS Space Object Imagery," Phillips Laboratory,
$61,624, July 1, 1995-June 18, 1996, RF728343.
(Co-principal Investigator
with Mary Beckman) “Speech Recognition Based on Acoustic
and Auditory Dynamics," to
Motorola, Inc. $87,066,
(Co-principal
Investigator with A. K. Krishnamurthy) “Exploiting Angular Diversity
in the Detection & Classification of Wide-angle SAR
Images," from Wright Labora-
tories, $46,424,
of expenditures.
(Co-principal
Investigator with Co-principal Investigator D. E. Orin and Co-Investigators L.
C. Potter, A. K. Krishnamurthy, and C. Klein) “A High Performance Graphics
Platform for Simulation, Control, and Communication with Unmanned Underwater
Robotic Systems," to NSF, $48,985, July 1, 1993-June 30, 1994, RF 728215,
Responsible for $24,492 of expenditures.
(Co-principal
investigator with Randolph Moses) “Extraction and Data
Compression
for Automatic Radar Target Identification," from Veda,
Inc., $74,958, April 1993 -
July 1994, RF 728037, Responsible for
$52,479 of expenditures.
(Principal
Investigator) “Video Data Compression Using Neural Networks" from NASA Lewis
Space Research Center, $218,438, April 1990-December 1993 (with Co-Investigator
A. K. Krishnamurthy), RF 723379, Responsible for $199,438 of expenditures.
(Co-principal
Investigator with Co-Principal Investigator R. L. Moses) “Signal Processing and
Coding for Radar Target Identification" $59,876 from Veda, Inc., March
1992-April 1993, RF 725817, Responsible for $29,938 of
expenditures.
(Principal Investigator) “Neural
Shell Extensions and Improvements," Cray Research, Inc. $28,100, November
1991-October 1992.
(Co-principal
Investigator with M. Beckman, L. Feth, R. Fox, and A. K. Krishnamurthy) “Speech
Recognition and Auditory Processing," Center for
Cognitive Science,
(Co-principal Investigator with J. Davis, P.
Flynn, J. Fraser, and W. Bauerle) “Efluent Reduction Using Predictive Process
Control and Neural Net Modeling," Interdisciplinary Research Grant, Offce
of Research and Graduate Studies, Ohio StateUniversity, $15,000, August
1990-December 1991, BA No. 221153, Responsible for $5,000 of expenditures.
(Principal
Investigator) “Automatic Target Recognition Using Neural Networks," OSU
Board of Regents Research Challenge Program, $12,500, June 1990-June 1991.
(Principal
Investigator) “Digital Image Coding Using Neural
Networks," Cray Research, $28,929, September 1990-August 1991.
(Principal Investigator) “Neural Network Vector Quantization," Cray Research, $25,243, November 1988-November 1989.
(Principal Investigator)
“Large Neural Networks: Simulation and Analyses," Cray
Research,
$19,676, November 1987-November 1988.
(Principal
Investigator) “An Advanced Architectural Support Environment," Ohio State
University Seed Grant Program, $18,000, March 1988-September 1989.
(Co-principal
Investigator with K. Boyer, F. D. Garber, A. K. Krishnamurthy, and R. L. Moses)
“A Computer Facility for the Support of Signal Processing, Machine Perception
and Computer Architectures" National Science Foundation Equipment Grant,
$100,000, 1988, RF No. 721252, Responsible for $20,000 of expenditures.
Funded research:
co-investigator
(Co-Investigator)
“PET SIP Program Support," from
(Co-Investigator)
“PET SIP Program Support," from
(Co-investigator)
“An Integrated Approach to Feature-Based Automatic Target
Recognition (ATR)," Advanced Research Projects Agency, (Principal
Investigator Randolph Moses), $346,000, June 1993-Sept. 1995, RF728343,
Responsible for $82,126 of expenditures.
Other research support
1. “Video Data Compression Using Neural
Networks," Ohio Supercomputer Center, 598
Resource Units
(equivalent to 598 Cray processor hours), October 1991-October 1992.
2. “Development of a Neural Network
Interface to the DIGITS Grasping System," from
the
hours), February 1990-January 1991.
3. “Development of the Neural
Shell," from the Ohio Supercomputer Center, 100 Re-
source Units (equivalent to 100 Cray processor
hours), January 1990-December 1990.
Awards for Research,
Scholarly, or Creative work
Recipient of 1997
Recipient of
1999 OSU College of Engineering Annual Research Accomplishment Award
Editorship and Service as a
Reviewer for Journals and other Learned Pub-
lications
Journal Editorship:
Services to professional organizations:
Consultation
Recent Service at The
A.
University Committees
·
University Senator 1997- 1999; 2001-2003
·
Chair, University Steering Committee
2002-2003
·
Chair,
University Research Computing Advisory Committee, Sept. 1997-2003
·
University Faculty Council
·
Chair, University Senate Executive Committee,
2002
·
University Senate Program Committee, 2002
C.
Department Committees
·
Faculty Council 2001-2003
·
Member,
Graduate Studies Committee, Sept. 2000 – 2002.
·
Member, Communications and Signal
Processing Committee.
·
Member, Ad Hoc Distance Learning Committee
·
Member, Resource Committee 2002-2003
·
Member, Strategic Planning Committee
2001-2003
·
Graduate Studies Chair, 2001-2002
·
Admissions and Recruiting 2001-2003
·
Under Graduate Studies, Recruiting
2001-2002
·
Ad Hoc Distance Learning 2001 - 2002
·
Communication and Signal Processing
·
Chair,
Computer Engineering 2001-2003
·
Curriculum Committee
·
Multimedia Processing Group 2002-2003
·
Resource Committee