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Professor at Department of Electrical Engineering
UT Austin
Ph.D.
Electrical Engineering
UT Austin
M.S.
Electrical Engineering
UT Austin
B.S.
Electrical Engineering
January 1993
January 2013
Professor
The University of Texas at Arlington
January 1985
January 1993
Assoc Prof
The University of Texas at Arlington
January 1982
January 1985
Assist Professor
The University of Texas at Arlington
January 1978
January 1982
Development Engineer
Schlumberger Well Services
January 1976
January 1978
Assist Professor
Univeristy of Texas at Austin
Expertise
Neural networks, statistical signal processing, image processing, digital signal processing, parameter estimation, pattern recognition, feature extraction, feature selection.
2011
B. H. K Aswathappa, M.T. Manry and R. Rawat, “Optimal Output Gain Algorithm for Feed-Forward Network Training,” accepted by IJCNN'11, San Jose California, June 14-19, 2011.
Conference Proceeding
Published
2011
P. Jesudhas, M.T. Manry and R. Rawat, “Analysis and Improvement of Multiple Optimal Learning Factors for Feed-Forward Networks,” accepted by IJCNN'11, San Jose California, June 14-19, 2011.
Conference Proceeding
Published
2011
K. Tyagi and M.T. Manry, “An Optimal Construction and Training Algorithm for Radial Basis Neural Network based on second Order Algorithm,” IJCNN'11, San Jose California, June 14-19, 2011.
Conference Proceeding
Published
2011
K. Tyagi and M.T. Manry, “Fuzzy C-Mean Clustering based Construction and Training for Second Order RBF Neural Network,” 2011 IEEE International Conference on Fuzzy Systems, Taipei, Taiwan, , June 27-30, 2011.
Conference Proceeding
Published
2011
Xun Cai, M.T. Manry, and K. Tyagi, “Training Multilayer Perceptron By Using Optimal Input  Normalization,” 2011 IEEE International Conference on Fuzzy Systems, Taipei, Taiwan, , June 27-30, 2011.
Conference Proceeding
Published
2011
P. Praveen Jesudhas, Sanjeev Malalur, and Michael T. Manry, Analysis and Improvement of Feed-forward network training With Complete Implementation, Lambert Academic Publishing, 2011.
Book
In-press
2010
S. S. Malalur and M. T. Manry, “Multiple optimal learning factors for feed-forward networks,” Proc. of SPIE: Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering VIII, Orlando Florida, April 7-9, 2010, vol. 7703pp. 77030F-1 – 77030F-12.
Conference Proceeding
Published
2009
S. S. Malalur and M. T. Manry. "Feed-Forward Network Training Using Optimal Input Gains," IJCNN, 2009.
Conference Proceeding
Published
2009
C. Saravanan, S Malalur, M. T. Manry, “Fingerprint Feature Compression using Statistical Coding Techniques”, Proceedings of Indicon 2009 (An IEEE Conference), December 18-20 .
Conference Proceeding
Published
2008
M. T. Manry Narasimha and F. Maldonado. "Upper Bound on Pattern Storage in Feedforward Networks," NeuroComputing, vol. 71, October 2008.
Journal Article
Published
2008
W. H. D. Narasimha, J. L. Manry, and F. Maldonado. "An Integrated Growing-Pruning Method for Feedforward Network Training," NeuroComputing, vol. 71, pp. 2831-2847, 2008.
Journal Article
Published
2008
Al-Abed, Mohammad; Behbehani, Khosrow; Burk, John R.; Lucas, Edgar A.; Manry, Michael. “Cross correlation and scatter plots of the heart rate variability and R-peak Envelope as features in the detection of obstructive sleep apnea,” Conference Proceedings, 30th Annual International Conference of the IEEE-EMBS, 20-25 Aug. 2008, p3488 - 3491.
Conference Proceeding
Published
2008
Al-Abed M, Behbehani K, Manry M, Burk J.R, and Lucas E.A, “Detection of Obstructive Sleep Apnea Using Neural Network Classification of Wavelet Plots of Heart Rate Variability,” Biomedical Engineering Recent Developments, Nazeran H, Goldman M, and Schophorester R, Editors, Proceedings of 24th Southern Biomedical Engineering Conference, pp 21-22, 2008.
Conference Proceeding
Published
2008
Al-Abed M, Behbehani K, Manry M, Burk J.R, and Lucas E.A, “Detection of Obstructive Sleep Apnea Using Neural Network Classification of Time-Frequency Plots of R-Wave Envelope,” Biomedical Engineering Recent Developments, Nazeran H, Goldman M, and Schophorester R, Editors, Proceedings of 24th Southern Biomedical Engineering Conference, pp 22-23, 2008.
Conference Proceeding
Published
2008
J. Li, Y. Shen, M.T. Manry, and F. Maldonado, “An Efficient Feature Selection Algorithm for Classification, Proc. of ICPR 2008, Tampa, Florida, December 8-11, 2008.
Conference Proceeding
Published
2008
Hung-Han Chen and Michael T. Manry, “Improving Healthcare Predictive Modeling using NeuroSequences”, to appear in the Proceedings of the 16th Federal Forecasters Conference, Thursday, April 24, 2008, Washington, DC.
Conference Proceeding
Published
2008
S. M. Narasimha and M. T. Manry. "Small Models of Large Machines," presented at Proceedings of the TwentyFirst International Conference of the Florida AI Research Society, Florida, May 2008.
Conference Paper
Published
2007
W. H. Delashmit and M. T. Manry. "A Neural Network Growing Algorithm that Ensures Monotonically Non Increasing Error," Advances in Neural Networks, vol. 14, pp. 280-284, August 2007.
Journal Article
Published
2007
M. T. Manry. Yu and J. Li. "An Efficient Hidden Layer Training Method for Multilayer Perceptron," NeuroComputing, vol. 70, pp. 29-53, January 2007.
Journal Article
Published
2007
Pramod L. Narasimha, Zhanfeng Yue, Kamesh Subbarao, Michael T. Manry, Pankaj Topiwala, "Real-Time Object-Based Image Registration Using Improved MRAN" , SPIE Defense and Security Symposium '07, June 2007.
Conference Proceeding
Published
2007
Al-Abed, M.; Manry, M.; Burk, J.R.; Lucas, E.A.; Behbehani, K. “A method to detect obstructive sleep apnea using neural network classification of time-frequency plots of the heart rate variability,” Conference Proceedings, 29th Annual International Conference of IEEE-EMBS, 22-26 Aug. 2007, p6101-6104.
Conference Proceeding
Published
2007
S. Sureka and M. T. Manry, “A Functional Link Network With Ordered Basis Functions, Proc. of IJCNN'07, Orlando, August 12-17, 2007.
Conference Proceeding
Published
2007
A. A. Abdurrab, M. T. Manry, J. Li, S. S. Malalur and R. G. Gore, “A Piecewise Linear Network Classifier, Proc. of IJCNN'07, Orlando, August 12-17, 2007.
Conference Proceeding
Published
2007
P.L. Narasimha, M. T. Manry,  and F. Maldonado, “Upper Bound on Pattern Storage in Feedforward Networks,”  Proc. of IJCNN'07, Orlando, August 12-17, 2007.
Conference Proceeding
Published
2007
P.L. Narasimha, S. Sureka and M. T. Manry, “Modified MRAN Based Time-Series Forecasting,” Proc. of IJCNN'07, Orlando, August 12-17, 2007.
Conference Proceeding
Published
2007
K. Alkharabsheh, W. Xiao, F. Lewis, and M.T. Manry, “Target Tracking and Interception in Wireless Sensor Networks with Compensation of Communication Delay,” Proceedings of ICICS 2007, Singapore, December 2007.
Conference Proceeding
Published
2006
J. L. Chandrasekaran, P. N. Delashmit, C. Yu, and M. T. Manry. "Convergent Design of Piecewise Linear Neural Networks," NeuroComputing, vol. 70, pp. 1022-1039, October 2006.
Journal Article
Published
2006
M. T. M. Li, P. Narasimha, and C. Yu. "Feature Selection Using a Piecewise Linear Network," IEEE Trans. on Neural Networks, vol. 17, no. 5, pp. 1101-1115, September 2006.
Journal Article
Published
2006
J. Y. Li, M. Ronald, N. P. Summers, M. T. Manry, and A. K. Hara. "An Efficient Feature Selection Algorithm for Computer-Aided Polyp Detection," International Journal on Artificial Intelligence Tools (IJAIT), vol. 15, no. 6, pp. 893-915, December 2006.
Journal Article
Published
2006
Pramod Lakshmi Narasimha, Walter Delashmit, Michael Manry, Jiang Li and Francisco Maldonado, “Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks”, Proceedings of the Nineteenth International Conference of the Florida AI Research Society, May 2006.
Conference Proceeding
Published
2006
M. Al-Abed, K. Behbehani, M. Manry, J. Burk, and E. Lucas. “A new method to detect obstructive sleep apnea using fuzzy classification of time-frequency plots of the heart rate variability,” Conference Proceedings, 28th Annual International Conference of IEEE-EMBS, Volume Supplement,  Aug. 30 2006-Sept. 3 2006.
Conference Proceeding
Published
2005
J. L. Gore, L. M. L. Manry, C. Yu, and J. Wei. "Iterative Design of Neural Network Classifiers Through Regression," International Journal on Artificial Intelligence Tools, vol. 14, no. 1&2, 2005.
Journal Article
Published
2005
M. T. Manry. Yu and J. Li. "Effects of Nonsingular Preprocessing on Feed Forward Network Training," International Journal of Pattern Recognition and Artificial Intelligence, February 2005.
Journal Article
Published
2005
Jiang Li, M.T. Manry, Randall Wilson, and Changhua Yu "Prototype Based Classifier Design with Pruning". International Journal on Artificial Intelligence Tools, 2005.
Journal Article
Published
2005
P.L. Narasimha, Michael T. Manry, and Changhua Yu, “Nonlinear Network Time-Series Forecasting Using Redundancy Reduction”, Proceedings of the Eighteenth International Conference of the Florida AI Research Society, May 2005.
Conference Proceeding
Published
2005
Changhua Yu, Michael T. Manry, and P.L. Narasimha, “Sensitivity of Nonlinear Network Training to Affine Transformed Inputs”, Proceedings of the Eighteenth International Conference of the Florida AI Research Society, May 2005.
Conference Proceeding
Published
2005
W. H. Delashmit and M. T. Manry. "Recent Developments in Multilayer Perceptron Neural Networks," presented at Proceedings of the 7th annual Memphis Area Engineering and Science Conference, Memphis, 2005.
Conference Paper
Published
2004
Jiang Li, Michael T. Manry, Li-Min Liu, Changhua Yu, and John Wei, “Iterative Improvement of Neural Classifiers”, Proceedings of the Seventeenth International Conference of the Florida AI Research Society, May 2004, pp. 700-705.
Conference Proceeding
Published
2003
F. J. Maldonado, M. T. Manry, and Tae-Hoon Kim, "Finding Optimal Neural Network Basis Function Subsets Using the Schmidt Procedure," Proc. of IJCNN'03. , pp. 444-449, 2003.
Conference Proceeding
Published
2003
F.J. Maldonado, M.T. Manry, “A Pseudogenetic Algorithm For MLP design based upon the Schmidt Procedure,” in Proc. of the IASTED International Conference Neural Networks and Computational Intelligence, Cancun México, May 19-21, 2003, pp. 197-202.
Conference Proceeding
Published
2003
Jiang Li, Qilian Liang, Michael T. Manry, and Tae-Hoon Kim, "A Semi-Blind Demodulator Aided by Protocols for Wireless ATM Network", Proc. 14th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications PIMRC2003, Vol. 3, pp. 2093-2097, 2003.
Conference Proceeding
Published
2003
Jiang Li, Qilian Liang, and Michael. T. Manry, "Adaptive Channel Equalization for Satellite Communications with Multipath Based on Unsupervised Learning Algorithm". Proc. of 14th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications PIMRC2003, Vol. 1, pp. 730 – 734, 2003.
Conference Proceeding
Published
2003
Jiang Li, Dongdong Li, Jaber A. Khoja, Qilian Liang, Michael T. Manry and Vasant K. Prabhu, "Overcoming Co‑channel Interference in TDMA Systems Using SOM Equalizer," Proc. 2003 IEEE Radio and Wireless Conference (RAWCON 2003),  Aug. 10-13, 2003, pp. 123 -126
Conference Proceeding
Published
2003
W. H. Delashmit, M. T. Manry, "New Training Algorithms for Dependently Initialized Multilayer Perceptrons," Thirty-Seventh Asilomar Conference on Signals, Systems and Computers, Nov 2003, vol. 1, pp. 581-585.
Conference Paper
Published
2003
Li Jiang, Li Dongdong, J. A. Khoja, Qilian Liang, M. T. Manry, V. K. Prabhu, "Overcoming co-channel interference in TDMA systems using SOM equalizer", Proceedings of the Radio and Wireless Conference, RAWCON '03, Aug. 2003, pp. 123 - 126.
Conference Paper
Published
2003
F. J. Maldonado, M. T. Manry, Tae-Hoon Kim, "Finding optimal neural network basis function subsets using the Schmidt procedure", Proceedings of the International Joint Conference on Neural Networks, July 2003, vol. 1, pp. 444 - 449.
Conference Paper
Published
2003
Tae Kim, M. T. Manry, J. Maldonado, "New learning factor and testing methods for conjugate gradient training algorithm", Proceedings of the International Joint Conference on Neural Networks, July 2003, vol. 3, pp. 2011 - 2016
Conference Paper
Published
2002
Tae-Hoon Kim, Jiang Li, M.T. Manry," Evaluation and Improvement of Two Training Algorithms," the 36th Asilomar Conference on Signals, Systems, & Computers '02, pp. 1019 - 1023.
Conference Proceeding
Published
2002
F. J. Maldonado, M. T. Manry, "Optimal Pruning of Feed-forward Neural Networks Based upon the Schmidt Procedure," the 36th Asilomar Conference on Signals, Systems, & Computers '02, pp. 1024 - 1028
Conference Proceeding
Published
2002
Walter H. Delashmit, M. T. Manry, "Enhanced Robustness of Multilayer Perception Training", the 36th Asilomar Conference on Signals, Systems, & Computers '02, pp. 1029 - 1033
Conference Proceeding
Published
2002
Changhua Yu, M. T. Manry," A Modified Hidden Weight Optimization Algorithm for Feed-forward Neural Networks," the 36th Asilomar Conference on Signals, Systems, & Computers '02, pp. 1034 - 1038
Conference Proceeding
Published
2001
M. T. Manry, Hema Chandrasekaran and Cheng-Hsiung Hsieh " Signal Processing Using the Multilayer Perception ", Handbook of Neural Network Signal Processing, CRC PRESS, , pp. 2.1 - 2.29, 2001.
Book
Published
1999
H. H. Chen, M. T. Manry, and Hema Chandrasekaran, "A Neural Network Training Algorithm Utilizing Multiple Sets of Linear Equations", Neurocomputing, Vol. 25, No. 1-3, pp. 55-72, April 1999.
Journal Article
Published
1999
C.Subramanian, M. T. Manry, and J. Naccarino, " Reservoir Inflow Forecasting Using Neural Networks," Proceedings of the American Power Conference, Volume 61, Number 1, pp. 220-226, 1999.
Conference Paper
Published
1999
Hema Chandrasekaran and Michael T. Manry, "Convergent Design of a Piecewise Linear Neural Network", Proceedings of IJCNN'99.
Conference Paper
Published
1999
Iyab I. Sakhnini, Michael T. Manry, and Hema Chandrasekarn, "Iterative Improvement of Trigonometric Networks", Proceedings of IJCNN'99.
Conference Paper
Published
1999
Hema Chandrasekaran, Kyung K. Kim, and Michael T. Manry, "Sizing of the Multilayer Perceptron via Modular Networks", Proceedings of the NNSP'99.
Conference Paper
Published
1999
Michael T. Manry, Cheng-Hsiung Hsieh, and Hema Chandrasekaran, "Near Optimal Flight load Synthesis Using Neural Nets", Proceedings of the NNSP'99.
Conference Paper
Published
1996
M.T. Manry, Cheng-Hsiung Hsieh, M.S. Dawson, A.K. Fung and S.J.Apollo," Cramer Rao Maximum A-Posteriori Bounds on Neural Network Training Error for Non-Gaussian Signals and Parameters," Internat. Journ. of Intelligent Control and Syst., vol. 1, no. 3,199
Journal Article
Published
1996
Michael T. Manry, Steven J. Apollo, and Qiang Yu, "Minimum Mean Square Estimation and Neural Networks," Neurocomputing, vol. 13, September 1996, pp. 59-74.
Journal Article
Published
1994
M. T. Manry, S. J. Apollo, L. S. Allen, W. D. Lyle, W. Gong, M.S. Dawson, and A. K. Fung," Fast Training of Neural Networks for Remote Sensing," Remote Sensing Reviews, vol. 9, pp. 77-96, 1994.
Journal Article
Published
1994
Xianping Jiang, Mu-Song Chen, Michael T. Manry, Michael S. Dawson, Adrian K. Fung," Analysis and Optimization of Neural Networks for Remote Sensing," Remote Sensing Reviews, vol. 9, pp. 97-114,1994.
Journal Article
Published
1993
A. Gopalakrishnan, X. Jiang, M-S Chen, and M.T. Manry, "Constructive Proof of Efficient Pattern storage in the Multilayer Perceptron," Conference Record of the Twenty-Seventh Annual Asilomar Conference on Signals, Systems, and Computers, Nov. 1993, vol.
Conference Paper
Published
1991
K. Rohani and M. T. Manry," The Design of Multi-Layer Perceptrons using Building Blocks," Proc of IJCNN 91, Seattle WA., pp. II-497 to II-502.
Journal Article
Published
1991
H. C. Yau and M. T. Manry, "Iterative Improvement of a Nearest Neighbor Classifier," Neural Networks, Vol. 4, Number 4, pp.517-524,1991.
Journal Article
Published
1991
Hung-Chun Yau and Michael T. Manry, "Shape Recognition With Nearest Neighbor Isomorphic Network", Proc. of the 1st IEEE-SP workshop on Neural Networks for Signal Processing, Princeton, New Jersey, Sept.29- Oct.2, 1991, pp.246-255.
Journal Article
Published
Fall 2012
EE 4318 - DIGITAL SIGNAL PROCESSING
No Description Provided.
No Syllabus Attached!
Fall 2012
EE 5350 - DIGITAL SIGNAL PROCESSING
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Fall 2012
EE 5350 - DIGITAL SIGNAL PROCESSING
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No Syllabus Attached!
Fall 2012
EE 5353 - NEURAL NETWORKS
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Fall 2012
EE 5353 - NEURAL NETWORKS
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Fall 2012
EE 5353 - Neural Networks
No Description Provided.
No Syllabus Attached!
Summer 2012
EE 5357 - STATISTICAL PATTERN RECOGNITION
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No Syllabus Attached!
Spring 2012
EE 5350 - DIGITAL SIGNAL PROCESSING
No Description Provided.
No Syllabus Attached!
Spring 2012
EE 5352 - STATISTICAL SIGNAL PROCESSING
No Description Provided.
No Syllabus Attached!
Fall 2011
EE 5350 - DIGITAL SIGNAL PROCESSING
No Description Provided.
No Syllabus Attached!
Fall 2011
EE 4318 - DIGITAL SIGNAL PROCESSING
No Description Provided.
No Syllabus Attached!
Fall 2011
EE 5353 - NEURAL NETWORKS
No Description Provided.
Last Updated on August 26, 2013, 10:04 am
Summer 2011
EE 5357 - STATISTICAL PATTERN RECOGNITION
No Description Provided.
Last Updated on August 26, 2013, 10:04 am
Summer 2011
EE 3318 - DISCRETE SIGNALS AND SYSTEMS
No Description Provided.
Last Updated on August 26, 2013, 10:04 am
Spring 2011
EE 5350 - DIGITAL SIGNAL PROCESSING
No Description Provided.
Last Updated on August 26, 2013, 10:04 am
Spring 2011
EE 5352 - STATISTICAL SIGNAL PROCESSING
No Description Provided.
Last Updated on August 26, 2013, 10:04 am
December -
DIRECTOR
Image Processing and Neural Networks Laboratory - Department of Electrical Engineering
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