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Michael T Manry

Professor, Electrical Engineering
Last Updated: January 26, 2021
about me

Research Interests

Research Interests
neural networks, convolutional neural nets, deep learning, statistical pattern recognition, statistical signal processing,

Research Keywords

Research Keywords
neural networks, deep learning, supervised learning,

Teaching Interests

Teaching Interests
Primary: signal processing, statistical signal processing, neural networks, statistical pattern recognition, and deep learning.

Secondary: Random signals and noise, linear systems, control

Biography

Biography

Michael Manry graduated with a PhD in Electrical Engineering in 1976. After working for Schlumberger Well Services for 3 and a half years, he joined the EE department at UTA in 1982, and became a full professor in 1993. Prof. Manry teaches and performs research in the areas of signal processing, statistical signal processing, neural networks, statistical pattern recognition, and deep learning. He has consulted with Mobil Research, White Sands Missile Range, Missile Command (MICOM) at Redstone Arsenal, Lockheed Martin Missiles and Fire Control, and many other companies. His research has been supported by the National Science Foundation, the Texas Advanced Technology Program, NASA, Loral-Vought, Teledyne Controls, Network Management Technology, Inc., Mobil Foundation, Incorporated, and many other organizations.

Education

Education

    • 1976 PhD in Electrical Engineering
      The University of Texas at Austin, 1976
    • 1973 MS in Electrical Engineering
      The University of Texas at Austin, 1973
    • 1971 BS in Electrical Engineering
      The University of Texas at Austin, 1971

Appointments

Appointments

    • Jan 1993 to Present Professor
      Electrical Engineering, Univ. Texas at Arlington (Arlington, TX)
      Teach and perform research
    • Jan 1985 to Present Associate Professor
      Electrical Engineering, Univ. Texas at Arlington (Arlington, TX)
      Perform research and teach courses
    • June 1982 to Present Assistant Professor
      Electrical Engineering, University of Texas at Arlington (Arlington, TX)
      Teach and perform research
    • Sept 1978 to Feb 1982 DEVELOPMENT ENGINEER
      SCHLUMBERGER WELL SERVICES (Houston, TX)
      Optimal two channel for the Electromagnetic Thickness Tool and for induction logs. For nuclear magnetic resonance (NMR) waveforms, developed nonlinear filters for removal of pulse noise and non-causal narrowband filters for thermal noise. Fast estimation of center frequency. Analyzed multi channel correlation functions for time delay estimation. Pattern recognition algorithm developed for detecting casing arrivals in cased hole sonic logs.
    • Jan 1976 to Jan 1978 ASSISTANT PROFESSOR
      DEPARTMENT OF ELECTRICAL ENGINEERING , University of Texas at Austin (Austin, TX)
    • Jan 1972 to Jan 1976 RESEARCH ASSISTANT
      ELECTRONICS RESEARCH CENTER, University of Texas at Austin (Austin, TX)

Memberships

    • Jan 1971 to Present IEEE, HKN, INNS
      Membership
      IEEE, HKN, INNS

Other Activities

Other Activities

      • Apr 2013
        Neural Decision Lab LLC, Arlington, Texas: Developing neural network software for various applications (2013-2014) (Arlington, Texas)
        Neural Decision Lab LLC
      • Jan 2005
        Neural Decision Lab LLC, Arlington, Texas: Developing neural network software for various applications (2005-2009) (Arlington, Texas)
        Neural Decision Lab LLC
      • Jan 2005
        Precision Energy Services, Fort Worth Texas: Developing neural network software for use with pulsed neutron porosity well-logs (2005) (Fort Worth, Texas)
        Precision Energy Services
      • Jan 2006
        Abbott Labs: Developing algorithms for detecting pulses in photomultiplier tube waveforms in a commercial biomedical processing system, (2006).
        Abbott Labs
      • Jan 2004
        Lockheed Martin Missiles and Fire Control, Grand Prairie Texas: Developing neural network software for Walter Delashmit (2004) (Grand Prairie Texas)
        Lockheed Martin Missiles and Fire Control
      • Jan 2003
        Williams Pyro, in Fort Worth Texas: Developing neural network software for Matt Scarpino (2003) (Fort Worth, Texas)
        Williams Pyro
      • Jan 1999
        Klarquist, Sparkman & Campbell : Expert Witness for Kyle Rhinehart in a patent case involving a videoconferencing application (1999, 2000) (Dallas, Texas)
        Klarquist, Sparkman & Campbell
      • Jan 1997
        Abbott Labs: Developing algorithms and software to classify aspirations of liquid samples (as air, foam, or good) in a commercial biomedical processing system, (1997). (Dallas,Texas)
        Abbott Labs:
      • Jan 1994
        Computalog Wireline Products, Inc in Fort Worth, Texas: Familiarizing Computalog personnel with neural network technology, for Richard Odom (1994,1995). (Fort Worth, Texas)
        Computalog Wireline Products, Inc
      • Jan 1994
        Verity Instruments in Dallas, Texas: Developing algorithms and software for signal processing and neural network pattern recognition for Mike Whelan (1994,1995). (Dallas, Texas)
        Verity Instruments
      • Jan 1994
        MYTEC, Technologies, Inc. in Toronto, Ontario, Canada: Evaluating an optical fingerprint verification system for George Tomko (1994). (Toronto, Ontario, Canada)
        MYTEC, Technologies, Inc
      • Jan 1992
        Telluric Geophysical Services in Dallas, Texas: Developing signal processing algorithms and software for electro telluric signals for Larry Ferguson (1992-1994). (Dallas, Texas)
        Telluric Geophysical Services
      • Jan 1990
        Mobil Research in Dallas, Texas: Developing neural network parameter estimation techniques for well logging applications for Scott Allen (1990, 1991). (Dallas, Texas)
        Mobil Research
      • Jan 1990
        Geophysics International in Dallas, Texas: Developing signal processing algorithms and software for electro telluric signals for Steven Dickson (1990). (Dallas, Texas)
        Geophysics International
      • June 1989
        Texas Instruments in Dallas, Texas: Developed texture classification techniques utilizing artificial neural networks at the Image Processing Lab (IPL, DSEG) for Frank Tatum (1989). (Dallas, Texas)
        Texas Instruments
      • June 1986
        Missile Command (MICOM) at Redstone Arsenal, Huntsville, Alabama: Developed algorithms and software for the design of rotationally invariant Vanderlugt filters for a programmable optical target recognition system (1986). (Huntsville, Alabama)
        Missile Command (MICOM) at Redstone Arsenal
      • Jan 1986
        Texas Instruments in Lewisville, Texas: Developed and taught a graduate level course in spread spectrum communications (1986). (Lewisville, Texas)
        Texas Instruments
      • June 1985
        White Sands Missile Range: Developed techniques for improving the image quality in the Honeywell Real Time Imagery Scenario Processing System (RISPS) for John Pierce of the Office of Missile Electronic Warfare (1985). (White Sands, New Mexico)
        Office of Missile Electronic Warfare
      • Jan 1985
        Gearhart Research Center in Austin: Developed automatic delta t shear estimation software for Roland Chemali (1985). (Austin, Texas)
        Gearhart Research Center in Austin
      • Jan 1983
        Oklahoma State University at Stillwater: Well Log signal processing consultant for Professor Rao Yarlagadda in the School of Electrical Engineering (1983). (Oklahoma State University at Stillwater)
        Professor Rao Yarlagadda in the School of Electrical Engineering
      • Jan 1981
        Impres Corporation of Austin: Designed image processing algorithms and 2 D decimation filters for E.R. Baries, Director of Software Engineering (1981). (Austin, Texas)
        Impres Corporation
      • Jan 1977
        Designed decimation and bandpass digital filters for C. Van Ryswyck, Vice President of Engineering (1977). (Austin, Texas)
        White Instruments

Support & Funding

Support & Funding

This data is entered manually by the author of the profile and may duplicate data in the Sponsored Projects section.
    • Sept 2014 to Aug 2018 Statistical and Optimization Methods for Adaptive Interdisciplinary Pain Management sponsored by  -  $374998
      (Funded)
    • Jan 2002 to Aug 2004 ATP - System for Developing Efficient Power Load Forecasters sponsored by  -  $96000
      Michael Manry (Funded)
    • Jan 1998 to Dec 1999 Integrated Systems for Developing Near-Optimal Estimators and Classifiers sponsored by  -  $95040
      Michael Manry (Funded)
    • Oct 1995 to Dec 1997 Flight Condition Recognition and Flight Load Synthesis Using Neural Networks sponsored by  -  $34823
      Michael Manry (Funded)
    • Oct 1995 to Mar 1996 Development of Neural Network Medium Term Load Forecaster sponsored by  -  $60056
      Michael Manry (Funded)
    • Mar 1995 to Mar 1995 "ATR Performance Improvement For Powered Submunition Using Clutter Iden. Tech." sponsored by  -  $10000
      Michael Manry (Funded)
    • Aug 1992 to Nov 1993 Assignment Agreement sponsored by  -  $3000
      Michael Manry (Funded)
    • Apr 1992 to Dec 1992 Topology Optimization and Fast Training of Neural Networks sponsored by  -  $40000
      Michael Manry (Funded)

Publications


      In Process
      • Book
        Analysis and Improvement of Feed-forward network training With Complete Implementation
        [Manry, MichaelT, Jesudhas, PPraveen, Malarur, Sanjeev ]. "Lambert Academic Publishing". Published.

      2020
      2019
      • Journal Article
        Efficient Machine Learning Approach for Optimizing the Timing Resolution of a High Purity Germanium Detector
        [Gladen, RandallW, Chirayath, VA, Fairchild, A, Manry, MichaelT, Koymen, AR, Weiss, AW]. ????.

      2018
      • Journal Article
        Multi-step Training of a Generalized Linear Classifier
        [Tyagi, Kanishka, Manry, Michael].

      2017
      • Journal Article
        Properties of a Batch Training Algorithm for Feedforward Networks
        [Robinson, MelvinD., Manry, MichaelT, Malalur, SanjeevS., Yu, Changhua]. Neural Processing Letters. 45(3), 841-854.
      • Journal Article
        Second Order Training of a Smoothed Piecewise Linear Network
        [Rawat, Rohit, Manry, MichaelT]. Neural Processing Letters. 1-28.

      2015
      • Journal Article
        Multiple optimal learning factors for the multi-layer perceptron
        [Malalur, SanjeevS., Manry, MichaelT, Jesudhas, Praveen]. Neurocomputing. 149, 1490-1501.

      In Process
      • Journal Article
        Receiver Technology On DSP For Next Generation Broadband
        [Bhatt, Tanay, Manry, MichaelT]. International Journal of New Technologies in Science and Engineering (IJNTSE). Published.
      • Journal Article
        A Neural Network Growing Algorithm that Ensures Monotonically Non Increasing Error
        [Manry, MichaelT]. Advances in Neural Networks. 14, 280-2284. Published.

      2013
      • Journal Article
        A preliminary investigation of human frontal cortex under noxious thermal stimulation over the temporomandibular joint using functional near infrared spectroscopy
        [Yennu, Amarnath, Tian, Fenghua, Liu, Hanli, Rawat, Rohit, Manry, MichaelT, Gatchel, Robert]. Journal of Applied Biobehavioral Research. 18(3), 134-155.

      2008
      • Journal Article
        An integrated growing-pruning method for feedforward network training
        [Narasimha, PramodL., Delashmit, WalterH., Manry, MichaelT, Li, Jiang, Maldonado, Francisco]. Neurocomputing. 71(13), 2831-2847.
      • Journal Article
        Upper bound on pattern storage in feedforward networks
        [Narasimha, PramodL., Manry, MichaelT, Maldonado, Francisco]. Neurocomputing. 71(16), 3612-3616.

      2006
      • Journal Article
        An efficient feature selection algorithm for computer-aided polyp detection
        [Li, Jiang, Yao, Jianhua, Summers, RonaldM., Petrick, Nicholas, Manry, MichaelT, Hara, AmyK.]. International Journal on Artificial Intelligence Tools. 15(06), 893-915.
      • Journal Article
        An efficient hidden layer training method for the multilayer perceptron
        [Yu, Changhua, Manry, MichaelT, Li, Jiang, Narasimha, PramodLakshmi]. Neurocomputing. 70(1), 525-535.
      • Journal Article
        Feature selection using a piecewise linear network
        [Li, Jiang, Manry, MichaelT, Narasimha, PramodLakshmi, Yu, Changhua]. NeuroComputing. 17(5), 1101-1115.

      2005
      • Journal Article
        Effects of nonsingular preprocessing on feedforward network training
        [Yu, Changhua, Manry, MichaelT, Li, Jiang]. International Journal of Pattern Recognition and Artificial Intelligence. 19(02), 217-247.
      • Journal Article
        Iterative design of neural network classifiers through regression
        [Gore, R.G., Li, Jiang, Manry, MichaelT, Liu, Li-Min, Yu, Changhua, Wei, John]. International Journal on Artificial Intelligence Tools. 14(01n02), 281-301.
      • Journal Article
        Nonlinear Network Time-Series Forecasting Using Redundancy Reduction
        [Narasimha, PramodLakshmi, Manry, MichaelT, Yu, Changhua]. 1(2), 2.2.

      2004
      • Journal Article
        A pseudogenetic algorithm for MLP design based upon the Schmidt procedure.
        [Maldonado, F.J., Manry, MichaelT, Hall, RmNedderman, Street, Yates]. 389, 068.

      2001
      • Journal Article
        Signal processing applications of the multilayer perceptron
        [Manry, MichaelT, Chandrasekaran, H., Hsieh, C.H.]. Handbook on Neural Network Signal Processing.

      2000
      • Journal Article
        LMS learning algorithms: misconceptions and new results on converence
        [Wang, Zi-Qin, Manry, MichaelT, Schiano, JeffreyL.]. IEEE Transactions on Neural Networks. 11(1), 47-56.
      • Journal Article
        Pruning of basis functions in nonlinear approximators
        [Chandrasekaran, Hema, Chen, Hung-Han, Manry, MichaelT]. Neurocomputing. 34(1), 29-53.

      1999
      • Journal Article
        A neural network training algorithm utilizing multiple sets of linear equations
        [Chen, Hung-Han, Manry, MichaelT, Chandrasekaran, Hema]. Neurocomputing. 25(1), 55-72.

      1998
      • Journal Article
        Attributes of neural networks for extracting continuous vegetation variables from optical and radar measurements
        [Kimes, D.S., Nelson, R.F., Manry, MichaelT, Fung, A.K.]. International Journal of Remote Sensing. 19(14), 2639-2663.

      1997
      • Journal Article
        A robust statistical-based estimator for soil moisture retrieval from radar measurements
        [Dawson, MichaelS., Fung, AdrianK., Manry, MichaelT]. IEEE Transactions on Remote Sensing. 35(1), 57-67.

      1996
      • Journal Article
        Comparison of very short-term load forecasting techniques
        [Liu, K., subbarayan, saravanarajah, Shoults, R.R., Manry, MichaelT, Kwan, C., Lewis, F.I., Naccarino, J.]. IEEE Transactions on Power Systems. 11(2), 877-882.
      • Journal Article
        Cramer rao maximum a-posteriori bounds on neural network training error for non-gaussian signals and parameters
        [Manry, MichaelT, Hsieh, Cheng-Hsiung, Dawson, MichaelS., Fung, AdrianK., Apollo, StevenJ.]. International Journal of Intelligent Control and Systems. 1(3), 381-391.
      • Journal Article
        Minimum mean square estimation and neural networks
        [Manry, MichaelT, Apollo, StevenJ., Yu, Qiang]. Neurocomputing. 13(1), 59-74.

      1995
      • Journal Article
        Comparisons of a neural network and a nearest-neighbor classifier via the numeric handprint recognition problem
        [Weideman, WilliamE., Manry, MichaelT, Yau, Hung-Chun, Gong, Wei]. Transactions on Neural Networks. 6(6), 1524-1530.

      1994
      • Journal Article
        Analysis and optimization of neural networks for remote sensing
        [Jiang, Xianping, Chen, Mu‐Song, Manry, MichaelT, Dawson, MichaelS., Fung, AdrainK.]. Remote Sensing Reviews. 9(1-2), 97-114.
      • Journal Article
        Fast training of neural networks for remote sensing
        [Manry, MichaelT, Dawson, M.S., Fung, A.K., Apollo, S.J., Allen, L.S., Lyle, W.D., Gong, W.]. Remote Sensing Reviews. 9(1-2), 77-96.
      • Journal Article
        Multilayer neural network design based on a modular concept
        [Rohani, Kamyar, Manry, MichaelT]. Journal of Artificial Neural Networks. 1(3), 349-370.
      • Journal Article
        No title
        [Thompson, PhillipJoseph].
      • Journal Article
        Non-gaussian feature analyses using a neural network
        [Manry, MichaelT]. Progress in Neural Networks. 2, 253.

      1993
      • Journal Article
        Classification-based segmentation of ZIP codes
        [Saifullah, Yousuf, Manry, MichaelT]. IEEE Transactions on Systems, Man, and Cybernetics. 23(5), 1437-1443.
      • Journal Article
        Conventional modeling of the multilayer perceptron using polynomial basis functions
        [Chen, M-S, Manry, MichaelT]. IEEE Transactions on Neural Networks. 4(1), 164-166.
      • Journal Article
        Progressive image transmission
        [Gong, Wei, Rao, KamisettyR, Manry, MichaelT]. IEEE Trans. on Circ. and Syst. for Video Technology. 3(5), 380-383.
      • Journal Article
        Surface parameter retrieval using fast learning neural networks
        [Dawson, MichaelS., Fung, A.K., Manry, MichaelT]. Remote Sensing Reviews. 7(1), 1-18.

      1992
      • Journal Article
        Automatic determination of reject thresholds in classifiers employing discriminant functions
        [Yau, Hung-Chun, Manry, MichaelT]. IEEE Signal Processing Transactions. 40(3), 711-713.
      • Journal Article
        Inversion of surface parameters using fast learning neural networks
        [Dawson, M.S., Olvera, J., Fung, A.K., Manry, MichaelT].
      • Journal Article
        Neural subnet design by direct polynomial mapping
        [Rohani, Kamyar, Chen, M-S, Manry, MichaelT]. IEEE Transactions on Neural Networks. 3(6), 1024-1026.
      • Journal Article
        Recursive approximation of the energy spectral density
        [Anderson, LarsA., Yau, H-C, Manry, MichaelT]. IEEE Signal Processing Transactions. 40(12), 3059-3062.
      • Journal Article
        Sea ice classification using fast learning neural networks
        [Dawson, M.S., Fung, A.K., Manry, MichaelT].

      1991
      • Journal Article
        Iterative improvement of a nearest neighbor classifier
        [Yau, Hung-Chun, Manry, MichaelT]. Neural Networks. 4(4), 517-524.
      • Journal Article
        Progressive image transmission using self-supervised backpropagation neural network
        Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
        [Gong, Wei, Rao, KamisettyR, Manry, MichaelT]. Journal of Electronic Imaging. 1133-1137. "IEEE".

      1990
      • Journal Article
        A frequency domain weighting function approach to extrapolation
        [Thompson, P.J., Manry, MichaelT]. IEEE Transactions on Acoustics, Speech, and Signal Processing. 38(8), 1395-1402.
      • Journal Article
        Iterative improvement of a Gaussian classifier
        [Yau, Hung-Chun, Manry, MichaelT]. Neural Networks. 3(4), 437-443.

      1989
      • Journal Article
        A new signal averaging algorithm for discrete signals
        [Lin, C-C, Manry, MichaelT]. IEEE Transactions on Acoustics, Speech, and Signal Processing. 37(3), 340-345.
      • Journal Article
        Phase improvement in IIR digital filters
        [Shi, Songqing, Manry, MichaelT]. IEEE Transactions on Acoustics, Speech, and Signal Processing. 37(10), 1627-1631.

      1988
      • Journal Article
        Taylor series approximation of the energy spectral density
        [Khan, RashidZia, Anderson, LarsA., Manry, MichaelT]. IEEE Transactions on Acoustics, Speech, and Signal Processing. 36(1), 102-105.

      1987
      • Journal Article
        Classification of resistance to passive motion using minimum probability of error criterion
        [Chan, HiangCheong, Manry, MichaelT, Kondraske, George]. Annals of Biomedical Engineering. 15(6), 579-590.
      • Journal Article
        Compound Circular Harmonic Filters
        [Manry, MichaelT]. 754, 319.
      • Journal Article
        Compound filter using the circular harmonic expansion
        [Manry, MichaelT]. Applied Optics. 26(17), 3622-3627.

      1986
      • Journal Article
        Efficient calculation of signal and noise variances
        [Lue, H-C, Manry, MichaelT]. IEEE Transactions on Acoustics, Speech, and Signal Processing. 34(4), 1002-1004.

      1985
      • Journal Article
        Signal processing using implicit phase
        [Manry, MichaelT]. IEEE Transactions on Circuits and Systems. 32(2), 150-159.

      1978
      • Journal Article
        Design and implementation of two-dimensional FIR digital filters with nonrectangular arrays
        [Manry, MichaelT, Aggarwal, J.]. IEEE Transactions on Acoustics, Speech, and Signal Processing. 26(4), 314-318.
      • Journal Article
        Design of two-dimensional recursive digital filters
        [Hirano, KOTARO, Aggarwal, J.]. IEEE Transactions on Circuits and Systems. 25(12), 1066-1076.

      1977
      • Journal Article
        The measurement of phase distortion due to filtering in digital pictures
        [Manry, MichaelT, Aggarwal, J.]. IEEE Transactions on Acoustics, Speech, and Signal Processing. 25(6), 534-541.

      1976
      • Journal Article
        The Design of Multidimensional FIR
        [Manry, MichaelT, Aggarwal, J.K.]. IEEE Transactions on Circuits and Systems. 23(4),

      1974
      • Journal Article
        Picture processing using one-dimensional implementations of discrete planar filters
        [Manry, MichaelT, Aggarwal, J.]. IEEE Transactions on Acoustics, Speech, and Signal Processing. 22(3), 164-173.
      • Journal Article
        Picture Processing Using One Dimensional Implementations of Discrete Planar Filters
        [Manry, Michael, Aggarwal, JK]. IEEE Transactions on Acoustics, Speech, and Signal Processing. Arlington.

      2020
      • Conference Proceeding
        Estimation of Ortho-Positronium Pick-Off Contributions to the Coincident Measurement of the Energy Spectra of Positron-Induced Electrons and Annihilation Gamma Quanta
        [Gladen, R.W., Chirayath, V.A., Fairchild, A.J., Lotfimarangloo, S., Shead, T., Sterne, P.A., Manry, M.T., Koymen, A.R., Weiss, A.H.]. SLOPOS-15. 137(2), 101-104. Prague, Czech Republic: "Proceedings of SLOPOS-15". DOI: http://dx.doi.org/10.12693/APhysPolA.137.101

      2017
      • Conference Proceeding
        Structural adaptation for sparsely connected MLP using Newton’s method
        Neural Networks (IJCNN), 2017 International Joint Conference on
        [Kheirkhah, Parastoo, Tyagi, Kanishka, Nguyen, Son, Manry, MichaelT]. 4467-4473. "IEEE".

      2016
      • Conference Proceeding
        Discriminant vector tranformations in neural network classifiers
        Neural Networks (IJCNN), 2016 International Joint Conference on
        [Auddy, SoumitroSwapan, Tyagi, Kanishka, Nguyen, Son, Manry, MichaelT]. 1780-1786. "IEEE".
      • Conference Proceeding
        Partially affine invariant back propagation
        Neural Networks (IJCNN), 2016 International Joint Conference on
        [Nguyen, Son, Tyagi, Kanishka, Kheirkhah, Parastoo, Manry, MichaelT]. 811-818. "IEEE".
      • Conference Proceeding
        Second order design of multiclass kernel machines
        Neural Networks (IJCNN), 2016 International Joint Conference on
        [Hao, Yilong, Tyagi, Kanishka, Rawat, Rohit, Manry, MichaelT]. 3233-3240. "IEEE".

      2014
      • Conference Proceeding
        An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network
        Neural Networks (IJCNN), 2014 International Joint Conference on
        [Cai, Xun, Tyagi, Kanishka, Manry, MichaelT, Chen, Zhi]. 1093-1099. "IEEE".
      • Conference Proceeding
        Multi-variable Neural Network Forecasting Using Two Stage Feature Selection
        Machine Learning and Applications (ICMLA), 2014 13th International Conference on
        [Rawat, Rohit, Vora, Kunal, Manry, MichaelT, Eapi, GautamRaghavendra]. 243-250. "IEEE".
      • Conference Proceeding
        Optimal Conjugate Gradient Algorithm for Generalization of Linear Discriminant Analysis Based on L1 Norm.
        ICPRAM
        [Tyagi, Kanishka, Kwak, Nojun, Manry, MichaelT]. 207-212.

      2013
      • Conference Proceeding
        Minimizing validation error with respect to network size and number of training epochs
        Neural Networks (IJCNN), The 2013 International Joint Conference on
        [Rawat, Rohit, Patel, JigneshK., Manry, MichaelT]. 1-7. "IEEE".
      • Conference Proceeding
        Neural decision directed segmentation of silicon defects
        Neural Networks (IJCNN), The 2013 International Joint Conference on
        [Godbole, AditiS., Tyagi, Kanishka, Manry, MichaelT]. 1-8. "IEEE".
      • Conference Proceeding
        Partially affine invariant training using dense transform matrices
        Neural Networks (IJCNN), The 2013 International Joint Conference on
        [Robinson, MelvinD., Manry, MichaelT]. 1-6. "IEEE".
      • Conference Proceeding
        Two-Stage Second Order Training in Feedforward Neural Networks.
        FLAIRS Conference
        [Robinson, MelvinDeloyd, Manry, MichaelT].
      • Conference Proceeding
        Comprehensive Ozone Forecasting Model using Neural Networks
        [Eapi, GautamRaghavendra, Sattler, MelanieL, Manry, MichaelT].

      2011
      • Conference Proceeding
        Analysis and improvement of multiple optimal learning factors for feed-forward networks
        Neural Networks (IJCNN), The 2011 International Joint Conference on
        [Jesudhas, Praveen, Manry, MichaelT, Rawat, Rohit, Malalur, Sanjeev]. 2593-2600. "IEEE".
      • Conference Proceeding
        Fuzzy C-means clustering based construction and training for second order RBF network
        Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
        [Tyagi, Kanishka, Cai, Xun, Manry, MichaelT]. 248-255. "IEEE".
      • Conference Proceeding
        Optimal output gain algorithm for feed-forward network training
        Neural Networks (IJCNN), The 2011 International Joint Conference on
        [Aswathappa, BabuHemanth Kumar, Manry, MichaelT, Rawat, Rohit]. 2609-2616. "IEEE".
      • Conference Proceeding
        Training multilayer perceptron by using optimal input normalization
        Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
        [Cai, Xun, Tyagi, Kanishka, Manry, MichaelT]. 2771-2778. "IEEE".

      2010
      • Conference Proceeding
        Multiple optimal learning factors for feed-forward networks
        SPIE Defense, Security and Sensing (DSS) Conference, Orlando, FL
        [Malalur, SanjeevS., Manry, MichaelT].

      2009
      • Conference Proceeding
        Feed-forward network training using optimal input gains
        Neural Networks, 2009. IJCNN 2009. International Joint Conference on
        [Malalur, SanjeevS., Manry, MichaelT]. IEEE Trans. on Neural Networks. 1953-1960. "IEEE".
      • Conference Proceeding
        Fingerprint Feature Compression Using Statistical Coding Techniques
        India Conference (INDICON), 2009 Annual IEEE
        [Saravanan, C., Malalur, SanjeevS., Manry, MicahelT.]. 1-4. "IEEE".

      2008
      • Conference Proceeding
        Cross correlation and scatter plots of the heart rate variability and R-peak Envelope as features in the detection of obstructive sleep apnea
        Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
        [Al-Abed, Mohammad, Behbehani, Khosrow, Burk, JohnR., Lucas, EdgarA., Manry, MichaelT]. 3488-3491. "IEEE".
      • Conference Proceeding
        Small Models of Large Machines.
        FLAIRS Conference
        [Narasimha, PramodLakshmi, Malalur, SanjeevS., Manry, MichaelT]. 83-88.

      2007
      • Conference Proceeding
        A method to detect obstructive sleep apnea using neural network classification of time-frequency plots of the heart rate variability
        Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
        [Al-Abed, Mohammad, Manry, MichaelT, Burk, JohnR., Lucas, EdgarA., Behbehani, Khosrow]. 6101-6104. "IEEE".
      • Conference Proceeding
        A piecewise linear network classifier
        Neural Networks, 2007. IJCNN 2007. International Joint Conference on
        [Abdurrab, AbdulA., Manry, MichaelT, Li, Jiang, Malalur, SanjeevS., Gore, RobertG.]. 1750-1755. "IEEE".
      • Conference Proceeding
        Real-time object-based image registration using improved MRAN
        Defense and Security Symposium
        [Yue, Zhanfeng, Narasimha, PramodL., Subbarao, Kamesh, Manry, MichaelT, Topiwala, Pankaj]. 8. "International Society for Optics and Photonics".
      • Conference Proceeding
        Target tracking and interception in wireless sensor networks with compensation of communication delay
        Information, Communications & Signal Processing, 2007 6th International Conference on
        [Alkharabsheh, Khaled, Xiao, Wendong, Lewis, FrankL, Manry, MichaelT]. 1-5. "IEEE".

      2006
      • Conference Proceeding
        A new method to detect obstructive sleep apnea using fuzzy classification of time-frequency plots of the heart rate variability
        Engineering in Medicine and Biology Society, 2006. EMBS’06. 28th Annual International Conference of the IEEE
        [Al-Abed, Mohammad, Behbehani, Khosrow, Burk, JohnR., Lucas, EdgarA., Manry, MichaelT]. 6493-6496. "IEEE".
      • Conference Proceeding
        Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks.
        FLAIRS Conference
        [Narasimha, PramodLakshmi, Delashmit, WalterH., Manry, MichaelT, Li, Jiang, Maldonado, F.J.]. 706-712.

      2005
      • Conference Proceeding
        Recent developments in multilayer perceptron neural networks
        Proceedings of the seventh Annual Memphis Area Engineering and Science Conference, MAESC
        [Delashmit, WalterH., Manry, MichaelT].
      • Conference Proceeding
        Sensitivity of Nonlinear Network Training to Affine Transformed Inputs.
        FLAIRS Conference
        [Yu, Changhua, Manry, MichaelT, Narasimha, PramodLakshmi]. 591-597.

      2004
      • Conference Proceeding
        A Hessian matrix approach for training nonlinear networks
        Signal Processing, 2004. Proceedings. ICSP’04. 2004 7th International Conference on
        [Yu, CHANGHUA, Manry, MichaelT]. 2, 1514-1517. "IEEE".
      • Conference Proceeding
        A pseudospectral fusion approach to fingerprint matching
        Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
        [Malalur, SanjeevSreenivasa, Manry, MichaelT, Narasimha, PramodLakshmi]. 1, 572-576. "IEEE".
      • Conference Proceeding
        Co-channel interference suppression with model simplification in TDMA systems
        Personal, Indoor and Mobile Radio Communications, 2004. PIMRC 2004. 15th IEEE International Symposium on
        [Li, Jiang, Liang, Qilian, Manry, MichaelT]. 2, 1302-1306. "IEEE".
      • Conference Proceeding
        Demodulation for wireless ATM network using modified SOM network
        Acoustics, Speech, and Signal Processing, 2004. Proceedings.(ICASSP’04). IEEE International Conference on
        [Li, Jiang, Liang, Qilian, Manry, MichaelT]. 5, 669. "IEEE".
      • Conference Proceeding
        Hidden Layer Training via Hessian Matrix Information.
        FLAIRS Conference
        [Yu, Changhua, Manry, MichaelT, Li, Jiang]. 688-694.
      • Conference Proceeding
        Invariance of MLP Training to Input Feature De-correlation.
        FLAIRS Conference
        [Yu, Changhua, Manry, MichaelT, Li, Jiang]. 682-687.
      • Conference Proceeding
        Iterative Improvement of Neural Classifiers.
        FLAIRS Conference
        [Li, Jiang, Manry, MichaelT, Liu, Li-Min, Yu, Changhua, Wei, John]. 700-705.
      • Conference Proceeding
        Prototype Based Classifier Design with Pruning.
        FLAIRS Conference
        [Li, Jiang, Manry, MichaelT, Yu, Changhua]. International Journal on Artificial Intelligence Tools. 706-712.

      2003
      • Conference Proceeding
        A semiblind demodulator aided by protocols for wireless ATM network
        Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003. 14th IEEE Proceedings on
        [Li, Jiang, Liang, Qilian, Manry, MichaelT, Kim, T-H]. 3, 2093-2097. "IEEE".
      • Conference Proceeding
        Adaptive channel equalization for satellite communications with multipath based on unsupervised learning algorithm
        Personal, Indoor and Mobile Radio Communications, 2003. PIMRC 2003. 14th IEEE Proceedings on
        [Li, Jiang, Liang, Qilian, Manry, MichaelT]. 1, 730-734. "IEEE".
      • Conference Proceeding
        Finding optimal neural network basis function subsets using the Schmidt procedure
        Neural Networks, 2003. Proceedings of the International Joint Conference on
        [Maldonado, F.J., Manry, MichaelT, Kim, Tae-Hoon]. 1, 444-449. "IEEE".
      • Conference Proceeding
        New learning factor and testing methods for conjugate gradient training algorithm
        Neural Networks, 2003. Proceedings of the International Joint Conference on
        [Kim, Tae, Manry, MichaelT, Maldonado, Javier]. 3, 2011-2016. "IEEE".
      • Conference Proceeding
        New training algorithms for dependency initialized multilayer perceptrons
        Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
        [Delashmit, WalterH., Manry, MichaelT]. 1, 581-585. "IEEE".
      • Conference Proceeding
        Overcoming co-channel interference in TDMA systems using SOM equalizer
        Radio and Wireless Conference, 2003. RAWCON’03. Proceedings
        [Li, Jiang, Li, Dongdong, Khoja, JaberA., Liang, Qilian, Manry, MichaelT, Prabhu, VasantK.]. 123-126. "IEEE".

      2002
      • Conference Proceeding
        A modified hidden weight optimization algorithm for feedforward neural networks
        Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
        [Yu, Changhua, Manry, MichaelT]. 2, 1034-1038. "IEEE".
      • Conference Proceeding
        Enhanced robustness of multilayer perceptron training
        Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
        [Delashmit, WalterH., Manry, MichaelT]. 2, 1029-1033. "IEEE".
      • Conference Proceeding
        Evaluation and improvement of two training algorithms
        Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
        [Kim, Tae-Hoon, Li, Jiang, Manry, MichaelT]. 2, 1019-1023. "IEEE".
      • Conference Proceeding
        Optimal pruning of feedforward neural networks based upon the Schmidt procedure
        Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
        [Maldonado, F.J., Manry, MichaelT]. 2, 1024-1028. "IEEE".

      1999
      • Conference Proceeding
        Convergent design of a piecewise linear neural network
        Neural Networks, 1999. IJCNN’99. International Joint Conference on
        [Chandrasekaran, Hema, Manry, MichaelT]. 2, 1339-1344. "IEEE".
      • Conference Proceeding
        Iterative improvement of trigonometric networks
        Proceedings of the International Joint Conference on Neural Networks
        [Sakhnini, IyabI., Manry, MichaelT, Chandrasekaran, Hema]. 2, 1275-1280.
      • Conference Proceeding
        Near-optimal flight load synthesis using neural nets
        Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE Signal Processing Society Workshop.
        [Manry, MichaelT, Hsieh, Cheng-Hsiung, Chandrasekaran, Hema]. 535-544. "IEEE".
      • Conference Proceeding
        Reservoir inflow forecasting using neural networks
        Proceedings of the American power conference
        [Subramanian, Chandrashekar, Manry, MichaelT, Naccarino, Jorge]. 61, 220-225.
      • Conference Proceeding
        Sizing of the multilayer perceptron via modular networks
        Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE Signal Processing Society Workshop.
        [Chandrasekaran, Hema, Kim, KyungK., Manry, MichaelT]. 215-224. "IEEE".

      1996
      • Conference Proceeding
        An automated system for developing neural network short term load forecasters
        [Manry, MichaelT, Shoults, Ray, Naccarino, Jorge]. "American Power Conference, Chicago, IL (United States)".
      • Conference Proceeding
        Cramer Rao maximum a-posteriori bounds for a finite number of non-Gaussian parameters
        Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
        [Hsieh, Cheng-Hsiung, Manry, MichaelT, Chen, Hung-Han]. 1161-1165. "IEEE".
      • Conference Proceeding
        Modular neural network architecture using piece-wise linear mapping
        Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
        [subbarayan, saravanarajah, Kim, K.K., Manry, MichaelT, Devarajan, Venkat, Chen, Hung-Han]. 1171-1175. "IEEE".
      • Conference Proceeding
        Road extraction from aerial images using neural networks
        Proceedings of ASPRS Annual Convention
        [Kim, T., Devarajan, Vcnkat, Manry, MichaelT]. 3, 146-154.

      1995
      • Conference Proceeding
        A complexity algorithm for estimating the size of the multilayer perceptron
        Conference Record of the Twenty-Ninth Annual Asilomar Conference on Signals, Systems, and Computers 29 October±1 November 1995
        [Kim, K.K., Manry, MichaelT]. 899-903.
      • Conference Proceeding
        A self-organizing system for the development of neural network parameter estimators
        Neural Networks for Signal Processing [1995] V. Proceedings of the 1995 IEEE Workshop
        [Manry, MichaelT]. 105-114. "IEEE".
      • Conference Proceeding
        Information retrieval from remotely sensed data and a method to remove parameter estimator ambiguity
        Geoscience and Remote Sensing Symposium, 1995. IGARSS’95.’Quantitative Remote Sensing for Science and Applications’, International
        [Dawson, M.S., Manry, MichaelT, Fung, A.K.]. 1, 691-693. "IEEE".
      • Conference Proceeding
        Stochastic Cramer Rao bounds for non-Gaussian signals and parameters
        Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
        [Liang, Weibo, Manry, MichaelT, Yu, Qiang, Dawson, MichaelS., Fung, AdrianK.]. 5, 3367-3369. "IEEE".
      • Conference Proceeding
        Unification of signal reconstruction algorithms using bandwidth metric reconstruction
        Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
        [Thompson, PhillipJ., Manry, MichaelT]. 2, 1071-1075. "IEEE".

      1994
      • Conference Proceeding
        Bounding the performance of neural network estimators, given only a set of training data
        Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
        [Liang, Weibo, Manry, MichaelT, Yu, Qiang, Apollo, S.J., Dawson, M.S., Fung, A.K.]. 2, 912-916. "IEEE".
      • Conference Proceeding
        Image classification in remote sensing using functional link neural networks
        Image Analysis and Interpretation, 1994., Proceedings of the IEEE Southwest Symposium on
        [Liu, L.M., Manry, MichaelT, Amar, F., Dawson, M.S., Fung, A.K.]. 54-58. "IEEE".
      • Conference Proceeding
        Iterative improvement of image classifiers using relaxation
        Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
        [Liu, L.M., Manry, MichaelT, Amar, F., Dawson, M.S., Fung, A.K.]. 2, 902-906. "IEEE".

      1993
      • Conference Proceeding
        Automatic recognition of usgs land use/cover categories using statistical and neural network classifiers
        Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision
        [Bailey, RobertR., Pettit, ElaineJ., Borochoff, RonaldT., Manry, MichaelT, Jiang, Xianping]. 1944, 185-196. "International Society for Optics and Photonics".
      • Conference Proceeding
        Constructive proof of efficient pattern storage in the multi-layer perceptron
        Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
        [Gopalakrishnan, Arunachalam, Jiang, Xiangping, Chen, Mu-Song, Manry, MichaelT]. 386-390. "IEEE".
      • Conference Proceeding
        MAP estimation and the multilayer perceptron
        Neural Networks for Processing [1993] III. Proceedings of the 1993 IEEE-SP Workshop
        [Yu, Q., Apollo, S., Manry, MichaelT]. 30-39. "IEEE".

      1992
      • Conference Proceeding
        Analysis of Free Parameters in the Multi-Layer Perception
        SOUTHCON CONFERENCE RECORD
        [Manry, MichaelT]. 203. "INSTITUTE OF ELECTRICAL & ELECTRONICS ENGINEERS (IEEE)".
      • Conference Proceeding
        Compact polynomial modeling of the multi-layer perceptron
        Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
        [Jiang, X., Chen, M-S, Manry, MichaelT]. 791-795. "IEEE".
      • Conference Proceeding
        Nonlinear neural network filters for image processing
        Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
        [Rohani, Kamyar, Manry, MichaelT]. 2, 373-376. "IEEE".
      • Conference Proceeding
        Optimality of transforms for parameter estimation
        Conference Record of the Twenty-Sixth Annual Asilomar Conference on Signals, Systems, and Computers
        [Apollo, S.J., Manry, MichaelT, Allen, L.S., Lyle, W.D.]. 1, 294-298.
      • Conference Proceeding
        Output weight optimization for the multi-layer perceptron
        Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
        [Manry, MichaelT, Guan, X., Apollo, S.J., Allen, L.S., Lyle, W.D., Gong, W.]. 502-506. "IEEE".
      • Conference Proceeding
        Theory of monomial networks
        Proc. Symp. Implicit and Nonlinear Systems
        [Olvera, J., Guan, X., Manry, MichaelT]. 96-101.

      1991
      • Conference Proceeding
        A mapping approach for designing neural sub-nets
        Neural Networks for Signal Processing [1991]., Proceedings of the 1991 IEEE Workshop
        [Rohani, K., Chen, M-S, Manry, MichaelT]. 70-79. "IEEE".
      • Conference Proceeding
        Basis vector analyses of back-propagation neural networks
        Circuits and Systems, 1991., Proceedings of the 34th Midwest Symposium on
        [Chen, M-S, Manry, MichaelT]. 23-26. "IEEE".
      • Conference Proceeding
        Image transform coding using self-supervised backpropagation neural network
        [Gong, W., Rao, KamisettyR, Manry, MichaelT].
      • Conference Proceeding
        Nonlinear modelling of back-propagation neural networks
        Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
        [Chen, M-S, Manry, MichaelT]. 2, 899 vol. 2. "IEEE".
      • Conference Proceeding
        Power series analyses of back-propagation neural networks
        Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
        [Chen, M-S, Manry, MichaelT]. 1, 295-300. "IEEE".
      • Conference Proceeding
        Shape recognition with nearest neighbor isomorphic network
        Neural Networks for Signal Processing [1991]., Proceedings of the 1991 IEEE Workshop
        [Yau, H-C, Manry, MichaelT]. 246-255. "IEEE".
      • Conference Proceeding
        The design of multi-layer perceptrons using building blocks
        Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
        [Rohani, Kamyar, Manry, MichaelT]. 2, 497-502. "IEEE".
      • Conference Proceeding
        Vector quantization and progressive image transmission using Kohonen self-organizing feature map
        Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
        [Gong, Wei, Rao, KamisettyR, Manry, MichaelT]. 477-481. "IEEE".

      1990
      • Conference Proceeding
        Backpropagation representation theorem using power series
        Neural Networks, 1990., 1990 IJCNN International Joint Conference on
        [Chen, M-S, Manry, MichaelT]. 643-648. "IEEE".
      • Conference Proceeding
        Sigma-pi implementation of a Gaussian classifier
        Neural Networks, 1990., 1990 IJCNN International Joint Conference on
        [Yau, H-C, Manry, MichaelT]. 825-830. "IEEE".
      • Conference Proceeding
        Sigma-pi implementation of a nearest neighbor classifier
        Neural Networks, 1990., 1990 IJCNN International Joint Conference on
        [Yau, H-C, Manry, MichaelT]. 667-672. "IEEE".
      • Conference Proceeding
        Implementation of polynomial discriminant functions on back-propagation paradigm
        Conf. Record of Midcon 1990
        [Chen, M.S., Manry, MichaelT]. 414-417.

      1989
      • Conference Proceeding
        A comparison of a nearest neighbor classifier and a neural network for numeric handprint character recognition
        Proc. Int. Joint Conf. Neural Networks
        [Weideman, W.E., Manry, MichaelT, Yau, H.C.]. 1, 117-120.
      • Conference Proceeding
        Analysis of non-Gaussian data using a neural network
        Proceedings of IJCNN 89
        [Gong, W., Manry, MichaelT]. 2, 576.

      1988
      • Conference Proceeding
        An efficient, noise tolerant, linear extrapolator
        Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
        [Thompson, PhillipJ., Manry, MichaelT]. 1750-1753. "IEEE".

      1987
      • Conference Proceeding
        Parameter estimation using the autocorrelation of the discrete Fourier transform
        Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP’87.
        [Manry, MichaelT, Huddleston, C.]. 12, 1493-1496. "IEEE".
      • Conference Proceeding
        Some analyses of flight simulation systems employing real imagery
        OE LASE’87 and EO Imaging Symp (January 1987, Los Angeles)
        [Li, Jenfeng, Manry, MichaelT]. 76-83. "International Society for Optics and Photonics".

      1985
      • Conference Proceeding
        FAST APPROXIMATION OF THE ENERGY SPECTRAL DENSITY
        Conference record: Eighteenth Asilomar Conference on Circuits, Systems & Computers: papers presented November 5-7, 1984, Pacific Grove, California
        [Khan, R.Z., Manry, MichaelT]. 383. "IEEE Computer Society Press".

      1984
      • Conference Proceeding
        Parameter estimation algorithms utilizing implicit phase
        Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP’84.
        [Manry, MichaelT]. 9, 197-199. "IEEE".

      In Process
      • Other
        Multistage Newton’s approach for training RBF neural networks
        [Manry, MichaelT, Tyagi, Kanishka]. Neural Processing Letters. Submitted.
      • Other
        Cluster Analysis with Kohonen Neural Networks
        [Manry, MichaelT]. Psychometrika. 63(1), 5-22. Published.
      • Other
        Neural Networks
        Encyclopedia of Distributed Computing
        [Manry, MichaelT]. "Kluwer Academic Publishers". Published.

Students Supervised

    • Dec 2019
      Dissertation Committee Chair
      Son Nguyen, (Electrical Engineering)
    • Dec 2017
      Dissertation Committee Chair
      Kanishka Tyagi, (Electrical Engineering)
    • Dec 2017
      Master's Thesis Committee Chair
      Sinchan Bhattacharya, (Electrical Engineering)
    • Dec 2017
      Master's Thesis Committee Chair
      Vineet Gundecha, (Electrical Engineering)
    • Dec 2016
      Dissertation Committee Chair
      Rohit Rawat, (Electrical Engineering)
    • Dec 2016
      Master's Thesis Committee Chair
      Chinmay Appa Rane, (Electrical Engineering)
    • Dec 2016
      Master's Thesis Committee Chair
      Jugal Sheth, (Electrical Engineering)
    • Aug 2016
      Master's Thesis Committee Chair
      Parastoo Kheirkhah, (Electrical Engineering)
    • Dec 2015
      Dissertation Committee Co-Chair
      Gautam Eapi, (Civil Engineering)
    • Aug 2015
      Master's Thesis Committee Chair
      Yilong Hao, (Electrical Engineering)
    • May 2015
      Master's Thesis Committee Chair
      Jeshwanth Challagundla, (Electrical Engineering)
    • Dec 2013
      Master's Thesis Committee Chair
      Soumitro Auddy, (Electrical Engineering)
    • May 2013
      Dissertation Committee Chair
      Melvin Robinson, (Electrical Engineering)
    • 2011
      Master's Thesis Committee Chair
      (Electrical Engineering)
    • Dec 2010
      Master's Thesis Committee Chair
      (Electrical Engineering)
    • May 2010
      Master's Thesis Committee Chair
      Gannapal Madhu, (Electrical Engineering)
    • Aug 2009
      Dissertation Committee Chair
      Sanjeev Malalur, (Electrical Engineering)
    • Aug 2009
      Master's Thesis Committee Chair
      Rohit Rawat, (Electrical Engineering)
    • Dec 2008
      Master's Thesis Committee Chair
      Sayantani Pal, (Electrical Engineering)
    • Dec 2007
      Master's Thesis Committee Chair
      Jimy Shah, (Electrical Engineering)
    • Aug 2007
      Dissertation Committee Chair
      Pramod Lakshmi Narasimha, (Electrical Engineering)
    • May 2007
      Master's Thesis Committee Chair
      (Electrical Engineering)
    • May 2005
      Master's Thesis Committee Chair
      Robert Gore, (Electrical Engineering)
    • Dec 2004
      Dissertation Committee Chair
      Changhua Yu, (Electrical Engineering)
    • Aug 2004
      Dissertation Committee Chair
      Jiang Li, (Electrical Engineering)
    • Aug 2004
      Master's Thesis Committee Chair
      Sanjeev Malalur, (Electrical Engineering)
    • Dec 2003
      Master's Thesis Committee Chair
      Pramod Lakshmi Narasimha, (Electrical Engineering)
    • Aug 2003
      Master's Thesis Committee Chair
      (Electrical Engineering)
    • May 2003
      Dissertation Committee Chair
      Walter Delashmit, (Electrical Engineering)
    • Dec 2002
      Dissertation Committee Chair
      Francisco Maldonado, (Electrical Engineering)
    • Dec 2001
      Dissertation Committee Chair
      Tae-Hoon Kim, (Electrical Engineering)
    • May 2000
      Dissertation Committee Chair
      Hema Chandrasekaran, (Electrical Engineering)
    • Dec 1999
      Master's Thesis Committee Chair
      Yong-June Yoon, (Electrical Engineering)
    • Aug 1998
      Master's Thesis Committee Chair
      Iyab Sakhinini, (Electrical Engineering)
    • Dec 1997
      Dissertation Committee Chair
      Hung-Han Chen, (Electrical Engineering)
    • Aug 1997
      Dissertation Committee Chair
      Cheng-Hsiung Hsieh, (Electrical Engineering)
    • Dec 1996
      Master's Thesis Committee Chair
      Zi-Qin Wang, (Electrical Engineering)
    • May 1996
      Dissertation Committee Chair
      Kyung Kim, (Electrical Engineering)
    • Aug 1995
      Dissertation Committee Chair
      Li-Min Liu, (Electrical Engineering)
    • May 1995
      Master's Thesis Committee Chair
      Kanagalu Manoj, (Electrical Engineering)
    • May 1994
      Dissertation Committee Chair
      Phillip Thompson, (Electrical Engineering)
    • May 1994
      Master's Thesis Committee Chair
      Arun Gopalakrishnan, (Electrical Engineering)
    • May 1993
      Master's Thesis Committee Chair
      Xianping Jiang, (Electrical Engineering)
    • Aug 1992
      Master's Thesis Committee Chair
      Jesse Olvera, (Electrical Engineering)
    • Aug 1992
      Master's Thesis Committee Chair
      Paul Stanley, (Electrical Engineering)
    • Dec 1991
      Dissertation Committee Chair
      Mu-Song Chen, (Electrical Engineering)
    • Dec 1991
      Dissertation Committee Chair
      Steven Apollo, (Electrical Engineering)
    • Aug 1991
      Dissertation Committee Chair
      Kamyar Rohani: Aug. 1991 Kamyar Rohani: Aug. 1991, (Electrical Engineering)
    • May 1991
      Master's Thesis Committee Chair
      Yousuf Saifullah, (Electrical Engineering)
    • Dec 1990
      Dissertation Committee Chair
      Hung-Chun Yau, (Electrical Engineering)
    • Aug 1990
      Master's Thesis Committee Chair
      David Ownby, (Electrical Engineering)
    • May 1989
      Master's Thesis Committee Chair
      Wei Gong, (Electrical Engineering)
    • Dec 1988
      Master's Thesis Committee Chair
      Carlton Ware, (Electrical Engineering)
    • Aug 1988
      Master's Thesis Committee Chair
      Lars Anderson, (Electrical Engineering)
    • Aug 1987
      Master's Thesis Committee Chair
      Jenfeng Li, (Electrical Engineering)
    • May 1987
      Master's Thesis Committee Chair
      Phillip Thompson, (Electrical Engineering)
    • May 1986
      Master's Thesis Committee Chair
      Hiang Cheong Chan, (Electrical Engineering)
    • Dec 1984
      Master's Thesis Committee Chair
      (Electrical Engineering)
    • Aug 1984
      Master's Thesis Committee Chair
      Chun-Chau Lin, (Electrical Engineering)

Courses

      • EE 4314-001 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2021
      • EE 4314-101 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2021
      • EE 4314-102 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2021
      • EE 4314-103 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2021
      • EE 4314-104 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2021
      • EE 4314-105 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2021
      • EE 4314-106 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2021
      • EE 6399-022 DISSERTATION
        (Course Id: 103079)
        Spring - Regular Academic Session - 2021
      • EE 7399-022 DOCTORAL DEGREE COMPLETION
        (Course Id: 111647)
        Spring - Regular Academic Session - 2021
      • EE 6397-022 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Spring - Regular Academic Session - 2021
      • EE 5352-001 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2021
      • EE 5352-002 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2021
      • EE 4314-001 CONTROL SYSTEMS
        (Course Id: 102901)
        Fall - Regular Academic Session - 2020 Download Syllabus
      • EE 4314-101 CONTROL SYSTEMS
        (Course Id: 102901)
        Fall - Regular Academic Session - 2020
      • EE 4314-104 CONTROL SYSTEMS
        (Course Id: 102901)
        Fall - Regular Academic Session - 2020
      • EE 4314-105 CONTROL SYSTEMS
        (Course Id: 102901)
        Fall - Regular Academic Session - 2020
      • EE 4318-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102905)
        Fall - Regular Academic Session - 2020
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2020 Download Syllabus
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2020
      • EE 5350-003 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2020
      • EE 5350-900 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2020
      • EE 6399-022 DISSERTATION
        (Course Id: 103079)
        Fall - Regular Academic Session - 2020
      • EE 6699-022 DISSERTATION
        (Course Id: 103081)
        Fall - Regular Academic Session - 2020
      • EE 7399-022 DOCTORAL DEGREE COMPLETION
        (Course Id: 111647)
        Fall - Regular Academic Session - 2020
      • EE 5353-001 NEURAL NETS AND DEEP LEARNING
        (Course Id: 103001)
        Fall - Regular Academic Session - 2020 Download Syllabus
      • EE 5353-002 NEURAL NETS AND DEEP LEARNING
        (Course Id: 103001)
        Fall - Regular Academic Session - 2020
      • EE 5353-900 NEURAL NETS AND DEEP LEARNING
        (Course Id: 103001)
        Fall - Regular Academic Session - 2020
      • EE 6397-022 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Fall - Regular Academic Session - 2020
      • EE 6697-022 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Fall - Regular Academic Session - 2020
      • EE 5698-022 THESIS
        (Course Id: 103044)
        Fall - Regular Academic Session - 2020
      • EE 5302-001 RANDOM SIGNALS AND NOISE
        (Course Id: 102950)
        Summer - Eleven Week - 2020
      • EE 5302-002 RANDOM SIGNALS AND NOISE
        (Course Id: 102950)
        Summer - Eleven Week - 2020
      • EE 5398-021 THESIS
        (Course Id: 103040)
        Summer - Eleven Week - 2020
      • EE 5698-020 THESIS
        (Course Id: 103044)
        Summer - 2020
      • EE 4391-002 ADV PROB ELECTRICAL ENGR
        (Course Id: 102934)
        Spring - Regular Academic Session - 2020
      • EE 4314-001 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2020
      • EE 4314-101 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2020
      • EE 4314-102 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2020
      • EE 4314-103 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2020
      • EE 6399-017 DISSERTATION
        (Course Id: 103079)
        Spring - Regular Academic Session - 2020
      • EE 6397-017 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Spring - Regular Academic Session - 2020
      • EE 6697-017 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Spring - Regular Academic Session - 2020
      • EE 5352-001 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2020
      • EE 5352-002 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2020
      • EE 5398-017 THESIS
        (Course Id: 103040)
        Spring - Regular Academic Session - 2020
      • EE 5391-008 ADV STUDY IN ELEC ENGR
        (Course Id: 103038)
        Fall - Regular Academic Session - 2019
      • EE 4314-001 CONTROL SYSTEMS
        (Course Id: 102901)
        Fall - Regular Academic Session - 2019
      • EE 4314-101 CONTROL SYSTEMS
        (Course Id: 102901)
        Fall - Regular Academic Session - 2019
      • EE 4314-104 CONTROL SYSTEMS
        (Course Id: 102901)
        Fall - Regular Academic Session - 2019
      • EE 4314-105 CONTROL SYSTEMS
        (Course Id: 102901)
        Fall - Regular Academic Session - 2019
      • EE 4318-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102905)
        Fall - Regular Academic Session - 2019
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2019
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2019
      • EE 5350-003 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2019
      • EE 6399-017 DISSERTATION
        (Course Id: 103079)
        Fall - Regular Academic Session - 2019
      • EE 5353-001 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2019
      • EE 5353-002 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2019
      • EE 5353-003 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2019
      • EE 6397-017 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Fall - Regular Academic Session - 2019
      • EE 6697-017 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Fall - Regular Academic Session - 2019
      • EE 4328-002 CURRENT TOPICS ELECTRICAL ENGR
        (Topic: STATISTICAL PATTERN RECOGNITIO | Course Id: 102912)
        Summer - Eleven Week - 2019
      • EE 6699-020 DISSERTATION
        (Course Id: 103081)
        Summer - 2019
      • EE 6397-017 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Summer - 2019
      • EE 5357-001 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2019
      • EE 5357-002 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2019
      • EE 4314-001 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2019
      • EE 4314-101 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2019
      • EE 4314-102 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2019
      • EE 4314-103 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2019
      • EE 6399-017 DISSERTATION
        (Course Id: 103079)
        Spring - Regular Academic Session - 2019
      • EE 7399-017 DOCTORAL DEGREE COMPLETION
        (Course Id: 111647)
        Spring - Regular Academic Session - 2019
      • EE 6397-017 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Spring - Regular Academic Session - 2019
      • EE 5352-001 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2019
      • EE 5352-002 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2019
      • EE 5698-017 THESIS
        (Course Id: 103044)
        Spring - Regular Academic Session - 2019
      • EE 4314-001 CONTROL SYSTEMS
        (Course Id: 102901)
        Fall - Regular Academic Session - 2018 Download Syllabus
      • EE 4314-101 CONTROL SYSTEMS
        (Course Id: 102901 | Xlist Coursepre: EE4314 | Xlist Coursenum: 001 | Servlearn Desc: N/A | Exclude Eval: true)
        Fall - Regular Academic Session - 2018 Download Syllabus
      • EE 4314-104 CONTROL SYSTEMS
        (Course Id: 102901)
        Fall - Regular Academic Session - 2018 Download Syllabus
      • EE 4314-105 CONTROL SYSTEMS
        (Course Id: 102901)
        Fall - Regular Academic Session - 2018 Download Syllabus
      • EE 4318-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102905)
        Fall - Regular Academic Session - 2018
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2018 Download Syllabus
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2018
      • EE 6399-017 DISSERTATION
        (Course Id: 103079)
        Fall - Regular Academic Session - 2018
      • EE 6699-017 DISSERTATION
        (Course Id: 103081)
        Fall - Regular Academic Session - 2018
      • EE 5698-017 THESIS
        (Course Id: 103044)
        Fall - Regular Academic Session - 2018
      • EE 6699-017 DISSERTATION
        (Course Id: 103081)
        Summer - Eleven Week - 2018
      • EE 5309-002 TOPICS IN ELECTRICAL ENGR
        (Topic: Deep Learning | Course Id: 102957)
        Summer - Eleven Week - 2018
      • EE 5309-003 TOPICS IN ELECTRICAL ENGR
        (Topic: Deep Learning | Course Id: 102957)
        Summer - Eleven Week - 2018
      • EE 4314-001 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2018
      • EE 4314-101 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2018
      • EE 4314-102 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2018
      • EE 4314-103 CONTROL SYSTEMS
        (Course Id: 102901)
        Spring - Regular Academic Session - 2018
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2018
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2018
      • EE 6399-017 DISSERTATION
        (Course Id: 103079)
        Spring - Regular Academic Session - 2018
      • EE 6397-017 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Spring - Regular Academic Session - 2018
      • EE 6697-017 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Spring - Regular Academic Session - 2018
      • EE 5352-001 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2018
      • EE 5352-002 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2018
      • EE 5398-017 THESIS
        (Course Id: 103040)
        Spring - Regular Academic Session - 2018
      • EE 5698-017 THESIS
        (Course Id: 103044)
        Spring - Regular Academic Session - 2018
      • EE 4318-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102905)
        Fall - Regular Academic Session - 2017
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2017
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2017
      • EE 6399-017 DISSERTATION
        (Course Id: 103079)
        Fall - Regular Academic Session - 2017
      • EE 7399-017 DOCTORAL DEGREE COMPLETION
        (Course Id: 111647)
        Fall - Regular Academic Session - 2017
      • EE 5353-001 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2017
      • EE 5353-002 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2017
      • EE 6397-017 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Fall - Regular Academic Session - 2017
      • EE 6697-017 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Fall - Regular Academic Session - 2017
      • EE 5698-017 THESIS
        (Course Id: 103044)
        Fall - Regular Academic Session - 2017
      • EE 5302-001 RANDOM SIGNALS AND NOISE
        (Course Id: 102950)
        Summer - Eleven Week - 2017
      • EE 5302-002 RANDOM SIGNALS AND NOISE
        (Course Id: 102950)
        Summer - Eleven Week - 2017
      • EE 5302-003 RANDOM SIGNALS AND NOISE
        (Course Id: 102950)
        Summer - Eleven Week - 2017
      • EE 5698-017 THESIS
        (Course Id: 103044)
        Summer - Eleven Week - 2017
      • EE 4318-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102905)
        Spring - Regular Academic Session - 2017
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2017
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2017
      • EE 6399-018 DISSERTATION
        (Course Id: 103079)
        Spring - Regular Academic Session - 2017
      • EE 6699-018 DISSERTATION
        (Course Id: 103081)
        Spring - Regular Academic Session - 2017
      • EE 5307-001 LINEAR SYSTEMS ENGINEERING
        (Course Id: 102955)
        Spring - Regular Academic Session - 2017
      • EE 5307-002 LINEAR SYSTEMS ENGINEERING
        (Course Id: 102955)
        Spring - Regular Academic Session - 2017
      • EE 6397-018 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Spring - Regular Academic Session - 2017
      • EE 6697-018 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Spring - Regular Academic Session - 2017
      • EE 5698-018 THESIS
        (Course Id: 103044)
        Spring - Regular Academic Session - 2017
      • EE 4318-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102905)
        Fall - Regular Academic Session - 2016
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2016
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2016
      • EE 6699-017 DISSERTATION
        (Course Id: 103081)
        Fall - Regular Academic Session - 2016
      • EE 5353-001 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2016
      • EE 5353-002 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2016
      • EE 6397-017 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Fall - Regular Academic Session - 2016
      • EE 6697-017 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Fall - Regular Academic Session - 2016
      • EE 5398-017 THESIS
        (Course Id: 103040)
        Fall - Regular Academic Session - 2016
      • EE 5698-017 THESIS
        (Course Id: 103044)
        Fall - Regular Academic Session - 2016
      • EE 4328-003 CURRENT TOPICS ELECTRICAL ENGR
        (Topic: Pattern Recognition | Course Id: 102912)
        Summer - Eleven Week - 2016
      • EE 4318-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102905)
        Summer - Eleven Week - 2016
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Summer - Eleven Week - 2016
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Summer - Eleven Week - 2016
      • EE 6699-017 DISSERTATION
        (Course Id: 103081)
        Summer - Eleven Week - 2016
      • EE 5357-001 STATISTIC PATTERN RECOGNITION
        (Topic: Pattern Recognition | Course Id: 103005)
        Summer - Eleven Week - 2016
      • EE 5357-002 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2016
      • EE 5698-017 THESIS
        (Course Id: 103044)
        Summer - Eleven Week - 2016
      • EE 4318-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102905)
        Spring - Regular Academic Session - 2016
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2016
      • EE 6399-017 DISSERTATION
        (Course Id: 103079)
        Spring - Regular Academic Session - 2016
      • EE 6699-017 DISSERTATION
        (Course Id: 103081)
        Spring - Regular Academic Session - 2016
      • EE 5392-017 PROJECT IN ELEC ENGR
        (Course Id: 103039)
        Spring - Regular Academic Session - 2016
      • EE 6397-017 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Spring - Regular Academic Session - 2016
      • EE 6697-017 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Spring - Regular Academic Session - 2016
      • EE 5352-001 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2016
      • EE 5698-017 THESIS
        (Course Id: 103044)
        Spring - Regular Academic Session - 2016
      • EE 4318-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102905)
        Fall - Regular Academic Session - 2015
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2015
      • EE 6399-018 DISSERTATION
        (Course Id: 103079)
        Fall - Regular Academic Session - 2015
      • EE 6699-018 DISSERTATION
        (Course Id: 103081)
        Fall - Regular Academic Session - 2015
      • EE 5353-001 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2015
      • EE 5353-002 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2015
      • EE 6397-018 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Fall - Regular Academic Session - 2015
      • EE 6697-018 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Fall - Regular Academic Session - 2015
      • EE 5398-018 THESIS
        (Course Id: 103040)
        Fall - Regular Academic Session - 2015
      • EE 4318-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102905)
        Summer - Eleven Week - 2015
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Summer - Eleven Week - 2015
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Summer - Eleven Week - 2015
      • EE 6697-018 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Summer - Eleven Week - 2015
      • EE 5357-001 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2015
      • EE 5357-002 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2015
      • EE 5698-018 THESIS
        (Course Id: 103044)
        Summer - Eleven Week - 2015
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2015
      • EE 6699-018 DISSERTATION
        (Course Id: 103081)
        Spring - Regular Academic Session - 2015
      • EE 5392-018 PROJECT IN ELEC ENGR
        (Course Id: 103039)
        Spring - Regular Academic Session - 2015
      • EE 6397-018 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Spring - Regular Academic Session - 2015
      • EE 6697-018 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Spring - Regular Academic Session - 2015
      • EE 5352-001 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2015
      • EE 5352-002 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2015
      • EE 5698-018 THESIS
        (Course Id: 103044)
        Spring - Regular Academic Session - 2015
      • EE 3417-001 CONTINUOUS SIGNALS AND SYSTEMS
        (Course Id: 111786)
        Fall - Regular Academic Session - 2014
      • EE 3417-101 CONTINUOUS SIGNALS AND SYSTEMS
        (Course Id: 111786)
        Fall - Regular Academic Session - 2014
      • EE 3417-102 CONTINUOUS SIGNALS AND SYSTEMS
        (Course Id: 111786)
        Fall - Regular Academic Session - 2014
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2014
      • EE 7399-018 DOCTORAL DEGREE COMPLETION
        (Course Id: 111647)
        Fall - Regular Academic Session - 2014
      • EE 3317-001 LINEAR SYSTEMS
        (Course Id: 102863)
        Fall - Regular Academic Session - 2014
      • EE 5353-001 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2014
      • EE 5353-002 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2014
      • EE 6397-018 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Fall - Regular Academic Session - 2014
      • EE 6697-018 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Fall - Regular Academic Session - 2014
      • EE 5698-018 THESIS
        (Course Id: 103044)
        Fall - Regular Academic Session - 2014
      • EE 4391-018 ADV PROB ELECTRICAL ENGR
        (Course Id: 102934)
        Summer - Eleven Week - 2014
      • EE 4318-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102905)
        Summer - Eleven Week - 2014
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Summer - Eleven Week - 2014
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Summer - Eleven Week - 2014
      • EE 6697-018 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Summer - Eleven Week - 2014
      • EE 5357-001 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2014
      • EE 5357-002 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2014
      • EE 3417-001 CONTINUOUS SIGNALS AND SYSTEMS
        (Course Id: 111786)
        Spring - Regular Academic Session - 2014
      • EE 3417-101 CONTINUOUS SIGNALS AND SYSTEMS
        (Course Id: 111786)
        Spring - Regular Academic Session - 2014
      • EE 6699-018 DISSERTATION
        (Course Id: 103081)
        Spring - Regular Academic Session - 2014
      • EE 3317-001 LINEAR SYSTEMS
        (Course Id: 102863)
        Spring - Regular Academic Session - 2014
      • EE 6397-018 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Spring - Regular Academic Session - 2014
      • EE 6697-018 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Spring - Regular Academic Session - 2014
      • EE 5352-001 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2014
      • EE 3417-001 CONTINUOUS SIGNALS AND SYSTEMS
        (Course Id: 111786)
        Fall - Regular Academic Session - 2013
      • EE 3417-101 CONTINUOUS SIGNALS AND SYSTEMS
        (Course Id: 111786)
        Fall - Regular Academic Session - 2013
      • EE 3417-102 CONTINUOUS SIGNALS AND SYSTEMS
        (Course Id: 111786)
        Fall - Regular Academic Session - 2013
      • EE 6699-019 DISSERTATION
        (Course Id: 103081)
        Fall - Regular Academic Session - 2013
      • EE 3317-001 LINEAR SYSTEMS
        (Course Id: 102863)
        Fall - Regular Academic Session - 2013
      • EE 5353-001 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2013
      • EE 5353-002 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2013
      • EE 6397-019 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Fall - Regular Academic Session - 2013
      • EE 6697-019 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Fall - Regular Academic Session - 2013
      • EE 5698-019 THESIS
        (Course Id: 103044)
        Fall - Regular Academic Session - 2013
      • EE 4391-019 ADV PROB ELECTRICAL ENGR
        (Course Id: 102934)
        Summer - Eleven Week - 2013
      • EE 3417-001 CONTINUOUS SIGNALS AND SYSTEMS
        (Course Id: 111786)
        Summer - Eleven Week - 2013
      • EE 3417-101 CONTINUOUS SIGNALS AND SYSTEMS
        (Course Id: 111786)
        Summer - Eleven Week - 2013
      • EE 6699-019 DISSERTATION
        (Course Id: 103081)
        Summer - Eleven Week - 2013
      • EE 3317-001 LINEAR SYSTEMS
        (Course Id: 102863)
        Summer - Eleven Week - 2013
      • EE 6397-019 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Summer - Eleven Week - 2013
      • EE 5357-001 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2013
      • EE 5357-002 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2013
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2013
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2013
      • EE 6699-021 DISSERTATION
        (Course Id: 103081)
        Spring - Regular Academic Session - 2013
      • EE 6397-021 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Spring - Regular Academic Session - 2013
      • EE 5352-001 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2013
      • EE 5352-002 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2013
      • EE 5352-003 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2013
      • EE 5398-021 THESIS
        (Course Id: 103040)
        Spring - Regular Academic Session - 2013
      • EE 5698-021 THESIS
        (Course Id: 103044)
        Spring - Regular Academic Session - 2013
      • EE 4318-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102905)
        Fall - Regular Academic Session - 2012
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2012
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2012
      • EE 6699-021 DISSERTATION
        (Course Id: 103081)
        Fall - Regular Academic Session - 2012
      • EE 7399-021 DOCTORAL DEGREE COMPLETION
        (Course Id: 111647)
        Fall - Regular Academic Session - 2012
      • EE 5353-001 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2012
      • EE 5353-002 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2012
      • EE 5353-003 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2012
      • EE 6397-021 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Fall - Regular Academic Session - 2012
      • EE 5398-021 THESIS
        (Course Id: 103040)
        Fall - Regular Academic Session - 2012
      • EE 5698-021 THESIS
        (Course Id: 103044)
        Fall - Regular Academic Session - 2012
      • EE 5357-001 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2012
      • EE 5357-002 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2012
      • EE 5357-003 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2012
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2012
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2012
      • EE 6399-022 DISSERTATION
        (Course Id: 103079)
        Spring - Regular Academic Session - 2012
      • EE 6699-022 DISSERTATION
        (Course Id: 103081)
        Spring - Regular Academic Session - 2012
      • EE 5392-001 PROJECT IN ELEC ENGR
        (Course Id: 103039)
        Spring - Regular Academic Session - 2012
      • EE 6397-022 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Spring - Regular Academic Session - 2012
      • EE 5352-001 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2012
      • EE 5698-022 THESIS
        (Course Id: 103044)
        Spring - Regular Academic Session - 2012
      • EE 4318-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102905)
        Fall - Regular Academic Session - 2011
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2011
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2011
      • EE 6399-022 DISSERTATION
        (Course Id: 103079)
        Fall - Regular Academic Session - 2011
      • EE 6699-022 DISSERTATION
        (Course Id: 103081)
        Fall - Regular Academic Session - 2011
      • EE 5353-001 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2011
      • EE 5353-002 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2011
      • EE 5392-022 PROJECT IN ELEC ENGR
        (Course Id: 103039)
        Fall - Regular Academic Session - 2011
      • EE 6397-022 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Fall - Regular Academic Session - 2011
      • EE 5398-022 THESIS
        (Course Id: 103040)
        Fall - Regular Academic Session - 2011
      • EE 5698-022 THESIS
        (Course Id: 103044)
        Fall - Regular Academic Session - 2011
      • EE 3318-001 DISCRETE SIGNALS AND SYSTEMS
        (Course Id: 102864)
        Summer - Eleven Week - 2011
      • EE 5357-001 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2011
      • EE 5357-002 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2011
      • EE 5357-003 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2011
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2011
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2011
      • EE 5392-022 PROJECT IN ELEC ENGR
        (Course Id: 103039)
        Spring - Regular Academic Session - 2011
      • EE 6397-022 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Spring - Regular Academic Session - 2011
      • EE 6697-022 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Spring - Regular Academic Session - 2011
      • EE 5352-001 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2011
      • EE 5352-002 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2011
      • EE 5698-022 THESIS
        (Course Id: 103044)
        Spring - Regular Academic Session - 2011
      • EE 4318-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102905)
        Fall - Regular Academic Session - 2010
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2010
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2010
      • EE 5353-001 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2010
      • EE 6397-022 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Fall - Regular Academic Session - 2010
      • EE 6697-022 RESEARCH IN ELEC ENGR
        (Course Id: 103080)
        Fall - Regular Academic Session - 2010
      • EE 5698-022 THESIS
        (Course Id: 103044)
        Fall - Regular Academic Session - 2010
      • EE 3318-001 DISCRETE SIGNALS AND SYSTEMS
        (Course Id: 102864)
        Summer - Eleven Week - 2010
      • EE 5357-001 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2010
      • EE 5357-002 STATISTIC PATTERN RECOGNITION
        (Course Id: 103005)
        Summer - Eleven Week - 2010
      • EE 5398-022 THESIS
        (Course Id: 103040)
        Summer - Eleven Week - 2010
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2010
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2010
      • EE 5350-003 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Spring - Regular Academic Session - 2010
      • EE 5392-022 PROJECT IN ELEC ENGR
        (Course Id: 103039)
        Spring - Regular Academic Session - 2010
      • EE 5352-001 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2010
      • EE 5352-002 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2010
      • EE 5352-003 STATISTICAL SIGNAL PROCESSING
        (Course Id: 103000)
        Spring - Regular Academic Session - 2010
      • EE 5398-022 THESIS
        (Course Id: 103040)
        Spring - Regular Academic Session - 2010
      • EE 5698-022 THESIS
        (Course Id: 103044)
        Spring - Regular Academic Session - 2010
      • EE 5350-001 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2009
      • EE 5350-002 DIGITAL SIGNAL PROCESSING
        (Course Id: 102998)
        Fall - Regular Academic Session - 2009
      • EE 5353-001 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2009
      • EE 5353-002 NEURAL NETWORKS
        (Course Id: 103001)
        Fall - Regular Academic Session - 2009
      • EE 5392-023 PROJECT IN ELEC ENGR
        (Course Id: 103039)
        Fall - Regular Academic Session - 2009
      • EE 6397-023 RESEARCH IN ELEC ENGR
        (Course Id: 103078)
        Fall - Regular Academic Session - 2009
      • EE 5398-023 THESIS
        (Course Id: 103040)
        Fall - Regular Academic Session - 2009
      • EE 5698-023 THESIS
        (Course Id: 103044)
        Fall - Regular Academic Session - 2009

Service to the University

    • Sept 2009 to  May 2010 Committee Member
      Parking Committee
    • Jan 2009 to  July 2009 Committee Member
      Faculty Search Committees
    • Sept 2008 to  Dec 2008 Committee Member
      Parking Committee
    • Sept 2006 to  Dec 2006 Committee Member
      Parking Committee
    • Sept 2004 to  Aug 2005 Committee Member
      DSL Representative
    • Sept 2002 to  Nov 2002 Committee Member
      Hazardus Waste Representative
    • Jan 2000 to  Dec 2000 Committee Member
      Parking Committee
    • Jan 1999 to  Dec 1999 Committee Member
      Parking Committee
    • Jan 1998 to  Dec 1998 Committee Member
      Parking Committee
      Help decide on appeals for parking tickets
    • Sept 1993 to  Aug 1995 University Senate Service
      Faculty Senate

Service to the Profession

    • Jan 2001 to  Present
      Committee Member
      Program Committee Member for NNSP 2001 Reviewer for:
      Program Committee Member for NNSP 2001 Reviewer for: IEEE Transactions on Neural Networks Neurocomputing IEEE Transactions on Signal Processing IEEE Trans. on Systems, Man, and Cybernetics Optical Engineering Neural Network World Journal of Electronic Imaging
    • Apr 1998 to  Present
      Judge
      Symposium on Undergraduate Research and Creative Activities (SURCA)
    • Apr 1998 to  Present
      Judge
      Graduate Student Research Symposium
    • Jan Unknown to  Present
      Reviewer
      Neural computing and Applications (NCAA)
    • Jan Unknown to  Present
      Associate Editor
      NeuroComputing

Service to the Community

Service to the Community

    • Mar 2006 to  Mar 2013
      Adult Leader, Merit badge counselor for Troop 380 (Arlington,
      Boy Scouts of America
      Adult Leader, Merit badge counselor. Supervised scouts on campouts, taught relevant skills such as orienteering.