Mathew J. Palakal, Phd.

Dr. Mathew J. Palakal

Dr. Mathew Palakal
  Department of Computer and Information Science
  Indiana University - Purdue University, Indianapolis
  723 West Michigan Street SL 280
  Indianapolis, Indiana 46202
  Tel: (317) 274-9735 Fax: (317) 274-9742
  Email: mpalakal@cs.iupui.edu

PUBLICATIONS: 2002-2000 1999-1997 1996-1994 1993-1991 1990-1988 1987-1984

Book Chapters

R. DeMori, M. Palakal, and P. Cosi, Network Models for Automatic Speech Recognition Systems, Advances in Computers, M. C. Yovits (Eds.), Academic Press, Vol. 29, pp. 99-173, 1990.
M. J. Palakal and D. Wong, A biologically plausible framework leading to auditory perception in FM Bats, Echolocation in Bats and Dolphins, University of Chicago Press, 2001 (in press).

PUBLICATIONS:

2002

R. M. Pidaparti, S. Jayanti, M. J. Palakal, and S. Mukhopadhyay, Structural Integrity Redesign through Neural-Network Inverse Mapping, AIAA Journal, 40(10), 2002.

M. Palakal, S. Mukhopadhyay, J. Mostafa, R. Raje, M. N'Cho, and S.K. Mishra, An Intelligent Biological Information Management System, Bioinformatics, 2002, (in press).

J. Huang, D. Umamaheswaran and M. Palakal, Video Indexing and Retrieval for Archeological Digital Library, CLIOH, International Conference on Image and Video Retrieval, London, 2002.

M. Palakal, M. Stephens, S. Mukhpodhyay, R. Raje, and S. Rhodes, Tagging and Disambiguation of Multiple Object Classes from Biological Text, IEEE CSB 2002, Stanford, CA, 2002.

M. Palakal, S. Mukhopadhyay, J. Mostafa, R. Raje, M. N'Cho, and S.K. Mishra, An Intelligent Biological Information Management System, 2002 ACM ACM Symposium on Applied Computing, Madrid, Spain, 2002.

M. Liang and M. J. Palakal, Airborne Sonar Recognition Using Artificial Neural Network," Mathematical and Computer Modelling, vol. 35, 429-440, 2002.

2001

M. J. Palakal, R. M. Pidaparti, S. Rebbapragada, J. Huang, and D. T. Peeler, Use of computational intelligence for corrosion damage assessment of aircraft panels, ASME 2001.

M. Qia, R. Raje, S. Mukhopadhyay, M. Palakal, and J. Mostafa, SIFTER-II: A Heterogeneous Agent Society for Information Filtering, 2001 ACM Symposium on Applied Computing, Las Vegas, 2001.

R. M. Pidaparti, S. Jayanti and M. J. Palakal, Residual Strength and Corrosion Behavior of Aging Aircraft Panels: A Neural Network Study, AIAA Journal of Aircraft, 2001 (in press).

M. J. Palakal, R. M. Pidaparti, and S. Rebbapragada, Intelligent Computational Methods for Corrosion Damage Assessment, AIAA Journal, 39(10), 1936-1944, 2001.

S. Peng, S. Mukhopadhyay, M. Palakal, J. Mostafa, and R. Raje, A Comparison of Single-Agent and Multi-Agent Information Classification, 2001 ACM Symposium on Applied Computing, Las Vegas, 2001.

M. Stephens, M. Palakal, S. Mukhpodhyay, R. Raje, and J. Mostafa, Detecting Gene Relations from MEDLINE Abstracts, Pacific Symposium on Biocomputing 2001, Honolulu, Hawaii, 2001.

2000

R. R. Raje, S. Mukhopadhyay, M. Qiao, M. J. Palakal, and J. Mostafa, Experiments with a Distributed Information Filtering System, Proceedings of the 4th World Multiconference on Systems, Cybernetics and Informatics, SCI-2000, 2000.

R. A. Bailey, R. M. Pidaparti and M. J. Palakal, Corrosion prediction in aging aircraft materials, Sixth International Conference on Damage and Fracture Mechanics, pp. 587-599, 2000.

R. A. Bailey, S. Jayanti, R. M. Pidaparti, and M. J. Palakal, Corrosion prediction in aging aircraft materials using neural networks, Proc. of the 41st AIAA/ASME/ASCE/ACS Conference on Structures and Structural Dynamics and Materials, April 2000.

R. M. Pidaparti, M. J. Palakal, and Z. A. Rahma*, Simulation of Structural Integrity Predictions for Panels with Multiple Site Damage, Advances in Engineering Software, (31), 127-135, 2000.

Q. Y. Wang, R. M. Pidaparti and M. J. Palakal, Comparative study of Corrosion Fatigue in Aircraft Materials, AIAA Journal, 39(2), 325-330, 2000.

1999

M. J. Palakal and D. Wong, Cortical representaion of spatio-temporal pattern of firing evoked by echolocation signals: Population encoding of target features in real time, Journal of the Acoustical Society of America, 106 (1), 479-490, 1999.

S. Rebbapragada, M. J. Palakal, R. M. Pidaparti, and C. R. Jones, Corrosion detection and quantification using image processing for aging aircraft panels, Third Joint FAA/DoD/NASA Conference on Aging Aircraft, Albuquerque, New Mexico, September, 1999.

1998

R. M. V. Pidaparti and M. Palakal, Fatigue Crack-Growth Prediction of Multiple Site Damage Panels using Neural Network Models," AIAA Journal of Aircraft, Vol. 36, No. 7, pp. 1300-1304, 1998.

Mostafa, J., Quiroga, L. and Palakal, M. "Filtering Medical Documents Using Automated and Human Classification Methods." Journal of the American Society for Information Science, 49(14), 1304-1318, 1998.

Y. P. Chien, A. Hudli and M. Palakal, "Using Many-Sorted Logic in the Object-Oriented Data Model for Fast Robot Task Planning", Journal of Intelligent and Robotic Systems, 23: 1-25, 1998.

R. R. Raje, S. Mukhopadhyay, M. Boyles, A. Papiez, M. J. Palakal, N. Patel, and J. Mostafa, A bidding mechanism for Web-based agents involved in information classifications, World Wide Web, Vol. 1, 155-165, 1998.

R. DeMori, R. Cardin, E. Merlo, M. Palakal, and J. Rouat. A network of actions for automatic speech recognition, Speech Communications, No.7, pp.337-353, 1988.

R. M. V. Pidaparti and M. Palakal, Fatigue Crack-Growth Prediction of Multiple Site Damage Panels using Neural Network Models," AIAA Journal of Aircraft, Vol. 36, No. 7, pp. 1300-1304, 1998.

Y. P. Chien, A. Hudli and M. Palakal, "Using Many-Sorted Logic in the Object-Oriented Data Model for Fast Robot Task Planning", Journal of Intelligent and Robotic Systems, 23: 1-25, 1998.

M. Liang and M. J. Palakal, Fine delay estimation in sonar echoes using frequency Prony method, The 136th Meeting of the Acoustical Society of America, Norfolk, Virginia, 104-3, pp.1838, 1998.

T. Offenbach and M. J. Palakal, Computer Science Teacher Education Preparation (CSTEP): Preparing Teachers to Teach Computer Science, Computers and Advanced Technology in Education CATE '98, Cancun, Mexico, 1998.

M. J. Palakal, Carla L. Boyd, and Frederick Myers, An Interactive Learning Environment for breadth-First CS Curriculum, ACM SIGCSE '98, Atlanta, 1998.

K. Hay, M. J. Palakal, K. Wilson, D. Robertson, and O. Bukhres, Technology Augmented Learning Environments, ED MEDIA 97, Calgary, 1997.

1997

J. Mostafa, S. Mukhopadhyay, M. Palakal and W. Lam, A Multi-level Approach to Intelligent Information Filtering: Model, System, and Evaluation, ACM Transactions on Information Systems, Vol. 15, No. 4, pp. 368-399, 1997.

Y. P. Chien, L. Xue, and M. J. Palakal, Task Planning for a Mobile Robot in an Indoor Environment Using Object-Oriented Domain Information, IEEE Transactions on Systems, Man, and Cybernetics, Vol. 27, No. 6, pp. 1007-1016, 1997.

M. J. Palakal, C. L. Boyd, F. Myers and T. Biggs, PACER: The development of an interactive learning system using Object-oriented programming methodologies and Java, ED MEDIA 97, Calgary, 1997.

M. J. Palakal and C. L. Boyd, PACER: An Internet-based interactive learning system for Computing Science, 18th World Conference on Distance Education, Penn State University, June 2-6, 1997.

1996

S. K. Chittajallu, K. Kohrt, M. J. Palakal, and D. Wong, Computational Model of the Bat Auditory Periphery, International Journal on Mathematical and Computer Modeling, Pergamon Press, Vol. 24, No. 1, pp. 67-78, 1996.

F. Myers, T. Biggs, C. Brown, M. J. Palakal, and C. L. Boyd, The design and implementation of an interactive learning system using JAVA, Indiana University Undergraduate Research Conference, Indianapolis, October 18, 1996.

W. Lam, S. Mukhopadhyay, J. Mostafa, and M. Palakal, Detection of Shifts in User Interests for Personalized Information Filtering, SIGIR'96, Zurich, pp. 317-325, 1996.

S. Mukhopadhyay, J. Mostafa, M. Palakal, W. Lam, L. Xue, and A. Hudli, An Adaptive Multi-level Infromation Filtering System, Proc. of the Fifth International Conference on User Modeling, Hawaii, 1996.

U. Murthy, M. J. Palakal, and D. Wong, A Computational Model to Map Auditory Responses, WCNN'96, San Diego, CA, 1996.

M. J. Palakal, U. Murthy, and D. Wong, An acoustic perception model for echolocation signals, The 131st Meeting of the Acoustical Society of America, Indianapolis, IN, 1996.

1995

S. K. Chittajallu, M. J. Palakal, and D. Wong, Analysis and Classification of Delay-Sensitive Cortical Neurons Based on Response to Temporal Parameters in Echolocation Signals, Hearing Research, 84(1/2), pp. 157-166, 1995.

R. M. V. Pidaparti and M. Palakal, Neural Network Approach to Fatigue-Crack-Growth Predictions Under Aircraft Spectrum Loadings," AIAA Journal of Aircraft, 32(4), pp. 825-831, 1995.

M. J. Palakal and A. V. Hudli, Augmenting Parallel Reasoning Mechanisms with Learning in Expert Systems, Engineering Applications of Artificial Intelligence, Pergamon Press, 11(11), pp. 1-11, 1995.

M. J. Palakal, U. Murthy, S. K. Chittajallu, and D. Wong, Tonotopic Representation of Auditory Responses Using Self-Organizing Maps, Mathematical and Computer Modeling, Pergamon Press, 22(2), pp. 7-21, 1995.

T.L. Biddlecome, M.J. Palakal, and R.M.V. Pidaprti, An Optimization Neural Network Model for Fatigue Predictions of Panels with Multiple Site Damage, Intelligent Engineering Systems through Artificial Neural Networks, ASME Press, vol. 5, pp. 911-916, 1995.

1994

Q. Xue, Y. P. Chien, Y. Feng*, and M. J. Palakal, A Real-Time Dynamic Backward Task Planner for Intelligent Mobile Robot, International Journal on Artificial Intelligence Tools, World Scientific, Vol.3, No.1, 1-21, 1994.

S. K. Chittajallu, M. J. Palakal, and K. G. Kohrt*, Computational model of signal-encoding in the mamalian peripheral auditory system, Proc. of 1994 IEEE Intl. Conf. on System, Man, and Cybernetics, San Antonio, TX, pp. 1303-1307, 1994.

M. J. Palakal, Siva K. Chittajallu, and Donald Wong, Modeling Cortical Neuron Responses using Artitifical Neural Networks, Proceedings of the World Congress on Neural Networks, San Diego, CA, I-348:I-351, 1994.

1993

R. M. V. Pidaparti and M. Palakal, Prediction of Non-Linear Stress-Strain Behavior of Graphite-Epoxy Laminates using Neural Networks, AIAA Journal , Vol. 31, No. 8, pp. 1533-1535, 1993.

R. M. V. Pidaparti and M. Palakal, Fatigue crack growth prediction for spectrum loadings using neural networks, 34th AIAA/ASME/ASCE/AHS/ASC SDM Conference, La Jolla, CA, pp. 926-931, 1993.

1992

M. Palakal and M. Zoran, A Neural Network Approach to Large Dimensional Spectral Pattern Processing, International Joint Conference on Neural Networks, Baltimore, pp. 691-696, 1992.

Q. Xue, M. Palakal, and Y. P. Chien, A Real-Time Task Planner for Intelligent Mobile Robot, IEEE International Conference on Systems Man and Cybernetics, Chicago, pp.26-29, 1992.

R. M. V. Pidaparti, M. Othman, and M. Palakal, A Neural Network Based Material Model for Graphite-Epoxy Laminates, Proceedings of the American Society for Composites 7th Technical Conference on Composite Materials, University Park, pp. 1104-1113, 1992.

Y. P. Chien, Q. Xue, M. Palakal, and S. Chittajallu, Intelligent Task Planning and Environment Learning of a Mobile Robot, Fourth International Symposium on Robotics and Manufacturing, Santa Fe, pp. 1120-1125, 1992.

1991

M. Palakal, Y. P. Chien, S. K. Chittajallu and Q. L. Xue, A Mobile Robot System for the Handicapped, SPIE's Technical Conference on Applications of Artificial Intelligence and Neural Networks, Orlando, Florida, pp. 1178-1183, 1991.

M. Palakal and X. Hue, Computational Model of a Biologically Plausible Cognitive Map, International Joint Conference on Neural Networks, Seattle, Washington, July, pp. 738-744, 1991.

M. Palakal and M. Zoran, Speaker-Invarient Phoneme Recognition Using Multiple Neural Network Models, International Joint Conference on Neural Networks, Seattle, Washington, pp. 839-844, 1991.

A. Hudli, M. Palakal, and M. Zoran, A Neural Network based Expert System Model, International Conference on Tools for Artificial Intelligence, San Diego, California, November, pp 145-149, 1991.

B. Lebo and M. Palakal, Parsing Problems in Optical Character Recognition, EUREKA-the Fifth National Conference on Undergraduate Research, Pasadena, California, pp. 105-111, 1991.

1990

M. Palakal and M. J. Zoran*, A Neural Network based Learning System for Speech Processing, Expert Systems with Applications: An International Journal, Pergamon Press, No. 2, pp. 59-71, 1990.

1989

M. Palakal, C. L. Chen, and M. A. Penna, Multi-Sensor Fusion for Telerobot Control, Second Workshop on Military Robotic Applications, Kingston, Canada, pp. 361-366, 1989.

M. Palakal, C. L. Chen, and M. A. Penna, Planning Robot Actions using Multi-Sensor Input, Advances in Intelligent Robotic Systems and Visual Communications and Image Processing, Philadelphia, (4 proceedings pages), 1989.

M. Palakal and M. J. Zoran, Feature Extraction from Speech Spectrograms Using Multi-Layered Network Models, IEEE Computer Society Workshop on Tools for Artificial Intelligence, Fairfax, Virginia, 224-230, 1989.

M. Palakal and N. Damptey, A Microprocessor based Dedicated Dynamic Watt Meter, ISMM International Symposium on Microcomputer Applications, Long Beach, California, (4 proceedings pages), 1989.

1988

R. DeMori, R. Cardin, E. Merlo, M. Palakal, and J. Rouat. A network of actions for automatic speech recognition, Speech Communications, No.7, pp.337-353, 1988.

1987

R. DeMori, E. Merlo, M. Palakal, and J. Rouat, Use of procedural knowledge for automatic speech recognition, Proceedings of the International Joint Conference on Artificial Intelligence, Milano, Italy, 1987.

M. Palakal, Morphological representation of speech knowledge for automatic speech recognition systems, Recent Advances in Speech Understanding Systems, NATO Advanced Study Institute, Bad Windsheim, W. Germany, 1987.

1986

E. Merlo, R. DeMori, M. Palakal, R. Rouat, and G. Mercier, A continuous parameter and frequency domain based Markov model, Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, Tokyo, Japan, 1986.

1985

R. DeMori and M. Palakal, On the use of a taxonomy of time-frequency morphologies for automatic speech recognition, Proceedings of the International Joint Conference on Artificial Intelligence, Los Angeles, CA, 1985.

R. DeMori and M. Palakal, On the use of computer vision techniques for automatic speech recognition, Proceedings of the Computer Vision and Pattern Recognition Conference, IEEE Computer Society, San Francisco, CA, pp. 691-693, 1985.

1984

M. Palakal and J. Opala, Magic: A VLSI design tool, Proceedings of the Canadian Conference on Very Large Scale Integration, Alberta, 1984.

1983

R. DeMori and M. Palakal, A network for the recognition of a large spoken vocabulary, Proceedings of the Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Washington, DC, 1983.

R. DeMori, M. Palakal, and C. Y. Suen, A network system for generating syllabic hypothesis in continuous speech recognition, Proceedings of the IEEE Conference on Systems, Man, and Cybernetics, Bombay, India, 1983.