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Scholarly Interest Report
         
Erzsebet Merenyi
Research Professor
Research Professor in Statistics; Research Professor in ECE
 
e-mail:erzsebet@rice.edu
 
  • M.Sc. Mathematics (1975) JATE, Szeged University, Szeged, Hungary
  • Ph.D. Computer Science (1980) JATE, Szeged University, Szeged, Hungary
 
Primary Department
   Department of Statistics
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Department Affiliations
 
  • Ken Kennedy Institute for Information Technology
  • Rice Quantum Institute
  • Sloan Professional Masters Program
  •  
    Websites
     Personal home page
     Publication and Talks
     Dr. Merényi's Webpage
     course web site for ELEC / COMP 502
     course web site, ELEC 533 / STAT 583 / CAAM 583
     research page
     ELEC / COMP 502 course web site
     Erzsébet Merényi's research pages
     
    Research Areas
     Neural computation (artificial neural networks), machine learning, self-organized learning, manifold learning, structure discovery in high-dimensional, complex data, segmentation and classification of high-dimensional patterns, data mining, knowledge discovery. Applications to hyperspectral image analysis, planetary exploration, earth science, medical image and data analysis, bioinformatics.
     
    Teaching Areas
      Neural Machine Learning, Statistics, Information theory, Theory of probability and random processes, Remote sensing
     
    Selected Publications
     Abstracts
     

    Erzsébet Merényi "Hyperspectral image analysis in planetary science and astronomy. ." Abstracts of the 223rd American Astronomical Society Meeting (2014 January 5-9)

     
     

    Merényi, E., B. Csathó and K. Taşdemir "Knowledge discovery in urban environments from fused multi-dimensional imagery." Proc. Urban Remote Sensing 2007, Paris, France (April 11-13, 2007) Submitted

     
     

    Merényi, E., Farrand, W.H., Brown, R.H., Villmann, Th., Fyfe, C. "A Neural Map View of Planetary Spectral Images for Precision Data Mining and Rapid Resource Identification." PI Workshop, NASA Applied Information Systems Research Program, University of Maryland October 3-5, 2006 (October 3-5, 2006)

     
     

    Rudd, L. and Merenyi, E "The Use of AVIRIS Imagery to Assess Clay Mineralogy and Debris-Flow Potential in Cataract Canyon, Utah." Abstracts of the Conf. of the Geological Society of America, 36(5) (2004, Nov)

     
     

    W. H. Farrand and E. Merenyi "Mapping Rock and Soil Units in the MPF IMP Superpan Using a Kohonen Self Organizing Map.." Proc. 35th Lunar and Planetary Science Conference (2004, Mar)

     
     Refereed articles
     

    Erzsébet Merényi, William H. Farrand, James V. Taranik, and Timothy B. Minor "Classification of Hyperspectral Imagery with Neural Networks: Comparison to Conventional Tools." EURASIP Journal on Advances in Signal Processing , 2014:71 (2014)

     
     

    Tuia, D., Merényi, E., Jia, X., and Grańa-Romay, M. "Foreword to the Special Issue on Machine Learning for Remote Sensing Data Processing." IEEE J Selected Topics in Applied Earth Observations and Remote Sensing, 7:4 (2014 April) : 1007-1011.

     
     

    Villmann, T., Merényi, E., and Farrand, W.H. "Unmixing Hyperspectral Images Using Large Models with Fuzzy Supervised SOMs." IEEE Trans. Neural NetworksIn Revision

     
     

    Erzsébet Merényi, William H. Farrand, James V. Taranik, and Timothy B. Minor "Classification of Hyperspectral Imagery with Neural Networks: Comparison to Conventional Tools.." EURASIP Journal on Advances in Signal Processing, special issue on Neural Networks for Remotely Sensed Data Interpretation. (2013) In Revision

     
     

    Lachmair, J., Merényi, E., Porrmann, M., Rückert, U. "A Reconfigurable Neuroprocessor for Self-Organizing Feature Maps." Neurocomputing, 112 (2013) : 189-199.

     
     

    Villmann, T., Merényi, E., and Farrand, W.H. "Unmixing Hyperspectral Images Using Large Models with Fuzzy Supervised SOMs." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2013) In Revision

     
     

    Bue, B.D., and Merényi, E., An Adaptive Similarity Measure for Classification of Hyperspectral Signatures. (2012) Geosci, and Remote Sens. Letters 10(2), pp 381-385.

     
     

    Lachmair, J., Merényi, E., Porrmann, M., Rückert, U.(2012) A Reconfigurable Neuroprocessor for Self-Organizing Feature Maps. Neurocomputing. In press.

     
     

    Tasdemir, K., and Merényi, E. (2012) SOM-based topology visualization for interactive analysis of high-dimensional large data sets. Data Mining and Knowledge Discovery, submitted.

     
     

    Taşdemir, K., and Merényi, E. "A Validity Index for Prototype Based Clustering of Data Sets with Complex Structures.." IEEE Trans. Systems, Man and Cybernetics, Part B. DOI: 10.1109/TSMCB.2010.2104319, 41 (4) (02/2011) : 1039-1053.

     
     

    Bue, B., Merényi, E., and Csathó, B. "Automated Labeling of Materials in Hyperspetral Imagery." IEEE Trans. Geoscience and Remote Sensing, 48(11) (November 2010) : 4059-4070.

     
     

    Zhang, L., Merényi, E., Grundy, W. M., Young, E. Y. "Inference of Surface Parameters from Near-Infrared Spectra of Crystaline H2O Ice with Neural Learning (2010)." Publications of the Astronomical Society of the Pacific, 122 (893): 839-852.

     
     

    K Tasdemir, E Merenyi "Exploiting the Data Topology in Visualizing and Clustering of Self-Organizing Maps (2009)." IEEE Trans. Neural Networks

     
     

    M J Mendenhall and E Merenyi,(2008) Relevance-based Feature Extraction for Hyperspectral Images, IEEE Trans. Neural Networks. 19(4), April 2008, pp 658-672.

     
     

    Farrand, W. H., Merenyi. E. , Johnson, J., Bell, J. III (2008) Comprehensive mapping of spectral classes in the imager for Mars Pathfinder Super Pan, The International Journal of Mars Science and Exploration http://www.marsjournal.org/ , Mars 4, 33-55, 2008; doi:10.1555/mars.2008.0004, July 11, 2008.

     
     

    Merényi, E., Jain, A., Villmann, Th. "Explicit Magnification Control of Self-Organizing Maps for “Forbidden Data”." 

     
     

    Michael Biehl, Erzsébet Merényi and Fabrice Rossi (2007) Advances in computational intelligence and learning, Neurocomputing 70(7-9), editorial. pp 1117-1119.

     
     

    Merényi, E., Jain, A., Villmann, Th. "Explicit Magnification Control of Self-Organizing Maps for “Forbidden Data”." IEEE Trans. Neural Networks (2006) In Press

     
     

    Villmann, T., Merényi, E., Hammer, B. "Neural Maps in Remote Sensing Image Analysis." Neural Networks, Special Issue on Neural Networks for Analysis of Complex Scientific Data, 16:(3-4) (2003, Apri) : 389-403.

     
     Articles
     

    Tasdemir, K. and Merényi, E. (2012) SOM-based topology visualization for interactive analysis of high-dimensional large datasets. Machine Learning Reports (Eds. T. Villmann and F.-M. Schleif ) 05/2012, ISSN:1865-3960  http://www.techfak.uni-bielefeld.de/fschleif/mlr/mlr_05_2012.pdf

     
     

    Erzsébet Merényi, William H. Farrand, James V. Taranik, and Timothy B. Minor, "Classification of Hyperspectral Imagery with Neural Networks: Comparison to Conventional Tools.." Machine Learning Reports (4/2011)

     
     Erzsebet Merenyi (2008) Biologically inspired computation for intelligent autonomous exploration, SPIE Newsroom, April 2008. Invited press briefing. http://spie.org/x2434.xml?parentid=x2418&parentname=Astronomy&highlight=x2418
     
     Book chapters
     

    Wm. H. Farrand, Erzsébet Merényi, Mario Parente "Hyper- and Multispectral VNIR Imaging Analysis." Remote Compositional Analysis: Techniques for Understanding Spectroscopy, Mineralogy, and Geochemistry of Planetary SurfacesSubmitted

     
     

    Erzsebet Merenyi, Kadim Tasdemir, Lili Zhang (2009) Learning highly structured manifolds: harnessing the power of SOMs. Chapter in Similarity based clustering, Lecture Notes in Computer Science (Eds. M. Biehl, B. Hammer, M. Verleysen, T. Villmann), Springer-Verlag.

     
     

    T. Villmann, E. Merenyi "Extensions and Modifications of SOM and its Applications in Remote Sensing Image Analyses." Recent Advances in Self-Organizing Neural Networks (Eds. U. Seiffert and L. Jain). Springer Series of Studies in Fuzziness and Soft Computing. (2001) : 121-145.

     
     Refereed conference papers
     

    Merényi, E., Taylor, J. and Isella, A "Mining Complex Hyperspectral ALMA Cubes for Structure with Neural Machine Learning." Proc. IEEE Symposium Series of Computational Intelligence, SSCI 2016: 11pp.In Press

     
     

    Merényi, E., Taylor, J. and Isella, A. "Deep data: discovery and visualization. Application to hyperspectral ALMA imagery." Proc. IAU Symposium Series , No. 325, Astroinformatics (2016) : 10pp.In Press

     
     

    O’Driscoll, P., Merényi, E., Karmonik, C., and Grossman, R. "The Effect of SOM Size and Similarity Measure on Identification of Functional and Anatomical Regions in fMRI Data." Advances in Self-Organizing Maps and Learning Vector Quantization: Proc. 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016 (January, 2016) : 251 - 263.In Revision


    URL: http://link.springer.com/book/10.1007%2F978-3-319-28518-4
     
     

    Merényi, E. "The Sky Is Not the Limit (summary of invited plenary talk)." Advances in Self-Organizing Maps and Learning Vector Quantization, Proc. 10th Workshop on Self-Organizing Map (2014 July) : 181-186.


    http://www.ece.rice.edu/~erzsebet/papers/Merenyi-WSOM2014.pdf
     
     

    O’Driscoll, P., Merényi, E., Karmonik, C., and Grossman, R. "SOM and MCODE Methods of Defining Functional Clusters in MRI of the Brain." . Proc. 36th Annual Intl Conf. of the IEEE Engineering in Medicine and Biology Society (IEEE EMBS) (2014 August)

     
     

    Bue, B., Merényi, E., Killian, J. (2013) Classification and Diagnosis of Myopathy from EMG Signals, Proc. 2nd Workshop on Data Mining for Medicine and Healthcare (DMMH), at 13th SIAM Int’l Conference on Data Mining (SDM 2013), May 2-4, 2013, Austin, Texas, USA.

     
     

    Rückert, U. and Merényi, E. "Parallel hardware architectures for acceleration of neural network computation. ." Proc. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN'2012, (Tutorial for special session.) (April 25-27, 2012)

     
     

    Villmann, T., Merényi, E., and Farrand, W.H. "Unmixing Hyperspectral Images with Fuzzy Supervised Self-Organizing Maps. ." Proc. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN'2012 (April 25-27, 2012)

     
     

    Bue, B., Merényi, E. and Csathó, B. "An Evaluation of Class Knowledge Transfer From Synthetic To Real Hyperspectral Imagery.." In Proc. Third Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2011) (June 6 - 9, 2011)

     
     

    Lachmair, J., Merényi, E., Porrmann, M., Rückert, U. "gNBXe - a Reconfigurable Neuroprocessor For Various Types of Self-Organizing Maps, pp 645-650.." Proc. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN'2012 (April 25-27, 2012) In Press

     
     

    Bue, B. and Merényi, E. "Using Spatial Correspondence for Hyperspectral Knowledge Transfer: Evaluation on Synthetic Data." In Proc. Second Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2010) (June 14-16, 2010)

     
     

    Zhang, L., Merényi, E. "Learning Multiple Latent Variables with Self-Organizing Maps." Proc. The 2010 IEEE Conference on Granular Computing (August 14-16, 2010)

     
     

    Bue, B., Merényi, E.,  and Csathó, B. (2009) Automated Labeling of Segmented Hyperspectral Imagery via Spectral Matching. Proc. First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2009), 26 – 28 August, 2009, Grenoble, France.

     
     

    González, J.A., Mendenhall, M. J., and Merényi, E. (2009) Minimum Surface Bhattacharyya Feature Selection. Proc. First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2009), 26 – 28 August, 2009, Grenoble, France.

     
     

    Mendenhall, M. J. and Merényi, E. (2009) On the Evaluation of Synthetic Hyperspectral Imagery. Proc. First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2009), 26 – 28 August, 2009, Grenoble, France.

     
     

    Xie, B., Bose, T., and Merényi, E. (2009) A Novel Scheme for the Compression and Classification of Hyperspectral Images. Proc. First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2009), 26 – 28 August, 2009, Grenoble, France.

     
     

    Zhang, L., Merényi, E., Grundy, W. M., and Young, E. Y. (2009) An SOM-Hybrid Supervised Model for the Prediction of Underlying Physical Parameters from Near-Infrared Planetary Spectra.  In “Advances in Self-Organizing Maps”, Lecture Notes in Computer Science, LNCS 5629, Springer-Verlag. pp 362-371

     
     

    B. Xie, Tamal Bose and E. Merenyi, (2008) Novel algorithms for optimal compression using classification metrics, IEEE Aerospace Conference, March 2008 (accepted, in press).

     
     

    E Merenyi, K Tasdemir, and WH Farrand (2008) Intelligent Information Extraction to Aid Science Decision Making in Autonomous Space Exploration, Proceedings of DSS08 SPIE Defense and Security Symposium, Space Exploration Technologies (Ed. W. Fink), Vol. 6960, 69600M, March 17 ¿ 18, 2008, Orlando, FL. (Invited) http://scitation.aip.org/dbt/dbt.jsp?KEY=PSISDG&Volume=6960&Issue=1

     
     

    Tasdemir, K, and Merenyi, E. (2008) Cluster analysis in remote sensing spectral imagery through graph representation and advanced SOM visualization. Proc. 11th Int¿l Conf. on Discovery Science, DS- 2008, Budapest, Hungary, 13 ¿ 16 October, 2008.

     
     

    Villmann, T., Merenyi, E., and U. Seiffert (2008) Machine Learning Approaches and Pattern Recognition for Spectral Data, Proc. 16th European Symposium on Artificial Neural Networks, ESANN'2008, Bruges, Belgium, 23-25 April, 2008. pp 433-444 (tutorial paper for special session.).

     
     

    B. Xie, Tamal Bose, and E. Merényi (2007) New Algorithms for the Classification and Compression of Hyperspectral Images. Proc. NASA Science and Technology Conference, College Park, Maryland, June 19 - 21, 2007, ISBN 0-9785223-2-X

     
     

    Merényi, E., B. Csathó, and Taşdemir, K. (2007) Knowledge discovery in urban environments from fused multi-dimensional imagery Proc. 4th IEEE GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (URBAN 2007), Paris, France, April 11-13, 2007. (invited paper). pp 1-13. DOI: 10.1109/URS.2007.371860 , IEEE Catalog number 07EX1577.

     
     

    Merényi, E., Farrand, W. H., Brown, R. H., Villmann, Th,. Fyfe, C. (2007) Information extraction and knowledge discovery from high-dimensional and high-volume complex data sets through precision manifold learning, Proc. NASA Science Technology Conference (NSTC2007), College Park, Maryland, June 19 - 21, 2007, 11pp. ISBN 0-9785223-2-X

     
     

    Merényi, E., L. Zhang, and K. Taşdemir (2007) Min(d)ing the small details: discovery of critical knowledge through precision manifold learning and application to on-board decision support. Proc. IEEE Int’l Conference on Systems of Systems Engineering (IEEE SoSE 2007), San Antonio, TX, April 16 – 18, 2007. 8 pp.

     
     

    T. Villmann,  F.-M. Schleif,  E. Merényi,  M. Strickert and B. Hammer (2007) Class imaging of hyperspectral satellite remote sensing data using FLSOM, Proceedings of 6th International Workshop on Self-Organizing Maps ({WSOM},Bielefeld, Germany, 3 – 6 September, 2007.

     
     

    T. Villmann, F.-M. Schleif,  E. Merényi and B. Hammer (2007) Fuzzy Labeled Self-Organizing Map for Classification of Spectra. In Computational and Ambient Intelligence (Lecture Notes in Computer Science) Vol 4507/2007 Springer-Verlag, pp 556-563. ISBN 978-3-540-73006-4, 0302-9743

     
     

    Taşdemir, K. and Merényi, E. (2007)  A new cluster validity index for prototype based clustering algorithms based on inter- and intra-cluster density. Proc. Int’l Joint Conf. on Neural Networks (IJCNN 2007), Orlando, FL, August 12 – 17, 2007. pp 2205-2211.

     
     

    Mendenhall, M. J. and Merenyi, E. "Generalized Relevance Learning Vector Quantization for Classification Driven Feature Extraction from Hyperspectral Data." ASPRS 2006 Annual Conference and Technology Exhibition, Reno, NV (May 1-5, 2006) : 8 pp.

     
     

    Mendenhall, M.J., and Merényi, E. "Relevance-based Feature Extraction from Hyperspectral Images in the Complex Wavelet Domain." Proc. IEEE Mountain Workshop on Adaptive and Learning Systems (SMCals/06), Logan, Utah (July 24-26, 2006) : 24-29.

     
     

    Taşdemir, K. and Merényi, E. "Data topology visualization for the Self-Organizing Map." Proc. 14th European Symposium on Artificial Neural Networks, ESANN'2006, Bruges, Belgium (April 26-28, 2006) : 125-130.

     
     

    Zhang, L. and Merényi, E. "Weighted Differential Topographic Function: A Refinement of the Topographic Function." Proc. 14th European Symposium on Artificial Neural Networks, Bruges, Belgium (, 26th-28th April, 2006) : 13-18.

     
     

    Merényi, E. "Intelligent Understanding of Hyperspectral Images through Self-Organizing Neural Maps." Proc. 2nd Int’l Conf. Cybernetics and Information Technologies, Systems and Applications (CITSA 2005) (July 14 – 17, 2005) : 30-35.

     
     

    Rudd, L. and Merényi, E. "Assessing Debris-Flow Potential by Using AVIRIS Imagery to Map Surface Materials and Stratigraphy in Cataract Canyon, Utah." Proceedings of the Fourteenth Airborne Earth Science Workshop, I. (2005) : N/A.

     
     

    Taşdemir, K. and Merényi, E. "Considering Topology in the Clustering of Self-Organizing Maps." Proc. 5th Workshop On Self-Organizing Maps (WSOM 2005), 5 – 8 September, 2005, Paris, France (2005) : 439-446.

     
     

    Jain, A., Merenyi, E. "Forbidden Magnification? I.." Proc. 12th European Symposium on Artificial Neural Networks, ESANN'2004 (2004) : 51-56.

     
     

    Merenyi, E., Farrand, W.H., Tracadas, P. "Mapping Surface Materials on Mars From Mars Pathfinder Spectral Images With HYPEREYE.." Proc. International Conference on Information Technology (ITCC 2004), II. (April,1994) : 607 - 614.

     
     

    Merenyi, E., Jain, A. "Forbidden Magnification? II.." Proc. 12th European Symposium on Artificial Neural Networks, ESANN'2004 (2004) : 57-62.

     
     

    Merenyi, E., Jain, A., Farrand, W.H. "Applications of SOM magnification to data mining.." WSEAS Trans. on Systems, 3(5) (2004, July) : 2122 - 2128.

     
     

    Merényi, E. Farrand, W.H., Tracadas, P. "Mapping Surface Materials on Mars from Mars Pathfinder Spectral Images with HYPEREYE." Proc. IEEE Int'l Conference on Information Technology (ITCC 2004) (2004) In Press

     
     

    Merényi, E., Jain, A. "Forbidden Magnification? II.." Procedings of the 12th European Symposium on Artificial Neural Networks (ESANN'04) (2004) Submitted

     
     

    Rudd, L., Merényi , E. "The Use of AVIRIS Imagery To Assess Clay Mineralogy and Debris-Flow Potential in Cataract Canyon, Utah: A Preliminary Report." Summaries of the 12th Annual JPL Airborne Earth Science Workshop (2004 Feb) : 8 pp.

     
     

    Merényi, E., Villmann, T. "Self-Organizing Neural Network Approaches For Hyperspectral Images." Proc. of Int'l Conference on Intelligent Computing and Information Systems (2002)

     
     

    "Maximum and Minimumm Likelihood Hebbian Learning for Exploratory Projection Pursuit." Proc. Int'l Conference on Artificial Neural Networks (2002)

     
     Conference papers
     Bea Csatho, Justin Rich, Erzsebet Merenyi, Lynn Everett, Brian Bue, John Kimble and Chien-Lu Ping (2008) Characterizing polar landscapes from hyperspectral imagery. Proc. Ninth Intżl Conference On Permafrost (NICOP 2008), (Eds. D. L. Kane and L. M. Hinkel), Fairbanks, AL, June 27 ż July 1, 2008.
     
     

    Merenyi, E "Neural Maps for Precision Data Mining: Application to Planetary Spectral Images.." Proc. Jordan Int?l Conference in Computer Science and Engineering (2004, Oct)

     
     Other
     

    E. Merényi, J. Taylor, A. Isella "Deep Data: Discovery and Visualization (Slides of invited talk, Oct 22, 2016)." Archives of the Int'l Astronomical Union, Symposium 325 "Astroinformatics": 10pp.


    http://dame.dsf.unina.it/astroinformatics2016/lectures/Deep-data_Merenyi.pdf
     
     

    E. Merenyi "Knowledge Discovery from the Hyperspectral Sky. (Slides of keynote talk)." Archives of the "Workshop on Tools for Astronomical Big Data" (March 9, 2015)


    http://www.noao.edu/meetings/bigdata/schedule.php
     
     

    Farison, J.B., Vanjara, U., Merényi, E. "Feature extraction in AVIRIS images using the orthogonal projection filter." Int'l Conf. on Imaging Science, Systems, and Technology, Las Vegas, Nevada, June 26-29, 2000 (June, 2000) : 223-229.

     
     

    Merényi, E., Farrand, W.H., Stevens, L.E., Melis, T.S., and Chhibber, K. "Mapping Colorado River Ecosystem Resources In Glen Canyon: Analysis of Hyperspectral Low-Altitude AVIRIS Imagery." Proc. ERIM, 14th Int'l Conference and Workshops on Applied Geologic Remote Sensing, 4-6 November, 2000, Las Vegas, Nevada (November 4-6, 2000)

     
     

    Merényi, E., Farrand, W.H., Stevens, L.E., Melis, T.S., and Chhibber, K. "Studying the Potential For Monitoring Colorado River Ecosystem Resources Below Glen Canyon DamUsing Low-Altitude AVIRIS Data." In Summaries of the Tenth Annual JPL Airborne Earth Science Workshop, Pasadena, CA, February 23-25, 2000 (February, 2000)

     
     

    Merenyi, E. "Precision Mining" of High-Dimensional Patterns with Self-Organizing Maps: Interpretation of Hyperspectral Images ." Quo Vadis Computational Intelligence: New Trends and Approaches in Computational Intelligence (Studies in Fuzziness and Soft Computing, Vol. 54) (September, 2000)

     
     

    Villmann, T. and Merenyi, E. "Extensions and Modifications of SOM and its Application in Satellite Remote Sensing Processing." 2nd Int'l Computer Science Conventions Symposium on Neural Computation, NC'2000, May 23-26, 2000, Berlin, Germany (May, 2000) : 765-771.

     
    Presentations
     Conference Committee Member
     

    IPC member, plenary speaker.  "(TBA)." 10th Workshop on Self-Organizing Maps (WSOM 2014), Mittweida, Germany.

     
     

    IPC member.  "for." European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), Bruges, Belgium.

     
     

    IPC member.  "for." IEEE Symposium on Computational Intelligence and Data Mining (CIDM’2013) at the IEEE SSCI conference series , Singapore.

     
     

    IPC member .  "for." WHISPERS 2013 (5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing), , Gainsville, Florida.

     
     

    Conference committee (IPC) member.  "for." IEEE Symposium on Computational Intelligence and Data Mining (CIDM’2013), Singapore. (April 15-19, 2013)

     
     

    Conference committee (IPC) member.  "for." 9th Workshop on Self-Organizing Maps (WSOM 2012), Santiago, Chile. (Dec 14-16, 2012)

     
     

    Conference committee (IPC) member.  "for." 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN'2012, Bruges, Belgium. (25-27 April, 2012)

     
     

    Conference committee (IPC) member.  "for." 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012), Algarve, Portugal. (6 – 8 February, 2012)

     
     

    Conference committee (IPC) member.  "Organized and chaired two Machine Learning sessions.." Third Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2011), Lisbon, Portugal, 6 - 9 June, 2011.

     
     

    Co-author of proposal and co-organizer .  "of." Dagstuhl Perspective Seminar “Learning in the Context of Very High Dimensional Data”, Leibnitz Center of Informatik, Schloss Dagstuhl, Wadern, Germany. (August 21 – 26, 2011) With Profs. Michael Biehl, Groningen U, Netherlands; Barbara Hammer, U Bielefeld, Germany; E. Merenyi, Rice University, USA; Alessandro Sperduti, U Padova, Italy; and Thomas Villmann, U Appl. Sci, Mittweida, Germany

     
     Conference Paper
     

    Author and Presenter.  "Mining Complex Hyperspectral ALMA Cubes for Structure with Neural Machine Learning." IEEE Symposium Series of Computational Intelligence, SSCI 2016, Athens, Greece. (Dec 8, 2016) With Merényi, E., Taylor, J. and Isella, A.

     
     Invited Talks
     

    Author and Presenter of invited talk.  "Deep Data: Discovery and Visualization." IAU 325 Symposium “Astroinformatics”, Sorrento, Italy, October 20-24, 2016. (Oct 22, 2016) With J. Taylor and A. Isella

     
     

    Seminar speaker.  "Learning complex cluster structure with neural maps and CONN measure.." Dept. of Computer Science, Washington University, St. Louis. (April 17, 2015)

     
     

    Presenter of invited talk.  "Challenges and Opportunities in Leading-Edge Radioastronomy: The Complexity of ALMA Data. ." Dept. of Mathematics, University of Groningen, Groningen, The Netherlands. (18 September, 2014)

     
     

    Invited speaker in Special Session “Building the Astronomical Information Sciences: From NASA's AISR Program to the New AAS Working Group on Astroinformatics and Astrostatistics”.  "Hyperspectral image analysis in planetary science and astronomy.." 223rd American Astronomical Society (AAS) Meeting, 5-9 January 2014, Washington, DC. (7 January, 2014)

     
     

    Presenter of invited talk.  "Looking for structure in ALMA data with machine learning.." 4th Astroinformatics Workshop, Vina del Mar, Chile. (26 August, 2014)

     
     

    Invited speaker.  "Information Extraction from Hyperspectral Imagery." University of Applied Sciences, Mittweida, Department of Mathematics, Germany. (May 8, 2011)

     
     

    Invited speaker.  "Komplex adathalmazok klaszterezése neurális önszervező hálozatokkal (Clustering of Complex Data Sets Through Self-Organizing Neural Maps)." Seminar series, University of Szeged, Institute of Informatics, Hungary. (March 8, 2011)

     
     

    Invited speaker.  "Finding structure in high-dimensional spectral data with neural machine intelligence. Examples from planetary astronomy." University of Chile, Dept. of Electrical and Computer Engineering, Santiago de Chile,. (October 20, 2011)

     
     

    Invited speaker.  "How many winners does it take to win? Minisymposium on computational intelligence." University of Groningen, Dept. of Mathematics, Groningen, Netherlands. (December 5, 2011)

     
     

    Invited seminar speaker.  "Manifold Learning for Simultaneous Inference of Multiple Latent Variables." Housdorff Institute of Mathematics, University of Bonn, Germany, June 20-24, 2011. (June 24, 2011)

     
     

    Seminar organizer and invited speaker.  "Verification of Cluster Structure: Escalation of Need and Difficulty for Real, High-Dimensional Data, and Recent Developments." Dagstuhl Seminar on Learning in the Context of Very High-Dimensional Data. (Invitation only.), Schloss Dagstuhl, Leibniz-Center for Informatics, Wadern, Germany. (August 22-26, 2011)

     
     

    "Computational Intelligence for Autonomous Decision Support." DARPA Workshop, Rice University. (March 10, 2010)

     
     

    Invited speaker.  "Knowledge discovery from complex data with biologically inspired machine intelligenct: selected applications in medicine and environmental monitoring." Symposium on Transformational Information Engineering. National Technical University , Singapore. (January 28-29, 2010)

     
     

    Invited speaker.  "Self-Organizing Maps and Applications to High-Dimensional, Complex Data." University of Bielefeld, Bielefeld, Germany. (December 7, 21010)

     
     

    Invited speaker.  "Hyperpsectral Eyeing of Heavenly Bodies – a Machine Learning Approach.." Chester F. Carlson Center for Imaging Science Seminar Series, Rochester Institute of Technology, Rochester, NY, November 4, 2009. (November 4. 2009)

     
     

    Invited speaker.  "Information Extraction from Complex Data Spaces." Computational science seminar, ExxonMobil Upstream Research, Houston, TX. June 5, 2009. (June 5, 2009)

     
     Intelligent Information Extraction to Aid Science Decision Making in Autonomous Space Exploration, DSS08 SPIE Defense and Security Symposium, Space Exploration Technologies, Orlando, FL, March 18, 2008. (With Kadim Tażdemir and William H. Farrand)
     
     

    Invited speaker.  "Toward autonomous on-board science: self-organized neural learning of highly structured manifolds." Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany. (April 29, 2008)

     
     

    Invited speaker.  "Information extraction and knowledge discovery from high-dimensional and high-volume complex data sets through precision manifold learning." NASA Science Technology Conference (NSTC2007), College Park, Maryland, June 19 - 21, 2007. (June 20, 2007) With Merényi, E., Farrand, W. H., Brown, R. H., Villmann, Th,. Fyfe, C.

     
     

    Invited speaker.  "Knowledge discovery in urban environments from fused multi-dimensional imagery." 4th IEEE GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (URBAN 2007), Paris, France, April 11-13, 2007. (April 11, 2007) With Merényi, E., B. Csathó and K. Taşdemir

     
     

    Presenter.  "Hyperspectral Eyes on the Solar System: Knowledge Mining the Planets with Computational Intelligence.." Al-Balqa University, Al-Salt (Amman), Jordan. (Oct 4, 2004)

     
     

    Presenter.  "Information Extraction from Complex Data with Self-Organizing Maps.." Philadelphia University, Amman, Jordan. (Oct 10, 2004)

     
     

    Presenter.  "Min(d)ing the spectral aspect: finding patterns in complex, multi-dimensional data with self-organized learning.." M. D. Anderson Cancer Center of the University of Texas, Faculty Center, M. D. Anderson Cancer Center, Houston, TX. (Nov 22, 2004)

     
     

    Presenter.  "Neural Maps for Precision Data Mining: Application to Planetary Spectral Images." Jordan Int?l Conference in Computer Science and Engineering, Al Salt (Amman), Jordan. (Oct 7, 2004)

     
     

    Presenter.  "Neural Maps in Remote Sensing Image Analysis.." Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany. (May 5, 2004)

     
     

    Invited speaker.  "A Neural Map View of Hyperspectral Images." 17th Annual Conference on Neural Information Processing (NIPS 2003), Workshop on Hyperspectral Remote Sensing and Machine Learning, Whistler, Canada, B.C.. (Dec 12, 2003)

     
     

    Invited speaker.  "Computational Intelligence in the Service of Planetary Science." Lunar and Planetary Institute, Clear Lake, Houston, TX. (Nov 21, 2003)

     
     

    invited speaker.  "Neural Networks and Other Things at Rice University." Ain Shams University, Faculty of Computer and Information Science, Cairo, Egypt. (June 27, 2002) With Merényi, E.

     
     

    Invited speaker.  "Self-Organizing Neural Network Approaches for Hyperspectral Images." First Int'l Conference on Intelligent Computing and Information Systems, Cairo, Egypt. (June 25, 2002) With Merényi , E., Villmann, T.

     
     

    invited speaker.  "Analysis of High-Dimensional Patterns with Self-Organizing Neural Networks. Applications to Remote Sensing Hyperspectral Imagery.." Rice University, Statistics Department, Duncan Hall. (November 19, 2001) With Merényi, E.

     
     Keynote Speaker
     

    Keynote speaker.  "Knowledge Discovery From the Hyperspectral Sky.." Workshop on “Tools for Astronomical Big Data”, NOAO, Tucson, Arizona. (March 9, 2015)

     
     

    Presenter of invited plenary talk, and IPC member.  "The Sky Is Not the Limit.." 10th Workshop on Self-Organizing Maps, Mittweida, Germany. (4 July, 2014)

     
     

    Keynote speaker, seminar resident.  "Discovery and target classification from remote sensing hyperspectral imagery with non-linear machine learning techniques. ." mote sensing hyperspectral imagery with non-linear machine learning techniques. NATO Science for Peace Workshop "Multidisciplinary Endeavour in Nanobiology, Nanoscience and Environment", Interdisciplinary Center for Advanced Science and Technology at the University of Split, Croatia. (April 20, 2012)

     
     Lectures
     

    Co-author.  "Classification and Diagnosis of Myopathy from EMG Signals." 2nd Workshop on Data Mining for Medicine and Healthcare (DMMH), at 13th SIAM Int’l Conference on Data Mining (SDM 2013), Austin, Texas. (May 4, 2013) With Bue, B., Merenyi, E., Killian, J.

     
     

    Co-author.  "GNBXe - a Reconfigurable Neuroprocessor For Various Types of Self-Organizing Maps." 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 25-27 April, 2012. (April 27, 2012) With Lachmair, J., Merényi, E., Porrmann, M., Rückert, U.

     
     

    Speaker, co-author.  "Unmixing Hyperspectral Images With Fuzzy Supervised Self-Organizing Maps." 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 25-27 April, 2012. (April, 2012) With Villmann, T., Merényi, E., and Farrand, W.H

     
     

    Conference Committee member, co-author.  "An Evaluation of Class Knowledge Transfer From Synthetic To Real Hyperspectral Imagery.." Third Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2011), Lisbon, Portugal, 6 - 9 June, 2011. (June 9, 2011) With Bue, B., and Merényi, E

     
     

    Conference Committe member.  "Using Spatial Correspondence for Hyperspectral Knowledge Transfer: Evaluation on Synthetic Data." Second Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS 2010), Reykjavik, Iceland.. (June 14-16, 2010) With Bue, B., Merényi, E.

     
     

    Co-author.  "Cluster analysis in remote sensing spectral imagery through graph representation and advanced SOM visualization.." 11th Intl Conf. on Discovery Science, DS- 2008, Budapest, Hungary. (13-16 October, 2008) With K. Tasdemir and E. Merenyi

     
     

    Co-author.  "Novel algorithms for optimal compression using classification metrics." IEEE Aerospace Conference, Big Sky, MT, March 1 - 8, 2008. (1 - 8 March, 2008) With B. Xie, Tamal Bose and E. Merényi

     
     

    speaker, and PhD advisor.  "Data topology visualization for the Self-Organizing Map.." 14th European Symposium on Artificial Neural Networks, ESANN'2006, Bruges, Belgium. (26-28 April, 200) With Taşdemir, K. and Merényi, E

     
     

    co-author, PhD advisor.  "Generalized Relevance Learning Vector Quantization for Classification Driven Feature Extraction from Hyperspectral Data." Am. Soc. Photogrammetry and Remote Sensing, 2006, Annual Conference and Technology Exhibition, Reno, NV. (May 1-5 2006) With Mendenhall, M.J., and Merényi, E.

     
     

    speaker, PhD advisor.  "Weighted Differential Topographic Function: A Refinement of the Topographic Function.." 14th European Symposium on Artificial Neural Networks, ESANN'2006, Bruges, Belgium. (26-28 April, 2006) With Zhang, L. and Merényi, E.

     
     

    "Intelligent Understanding of Hyperspectral Images through Self-Organizing Neural Maps." 2nd Int'l Conf. On Cybernetics and Information Technologies, Orlando, FL. (July 14 - 17, 2005)

     
     Other
     

    Presenter.  "Neural Machine Learning of Complex Data." STAT 600 research seminars for 1st-year graduate students, Rice University. (04 Apr 2016)

     
     

    Presenter, Methodology PI at Rice.  "Learning About the Brain with and Artificial Brain." Research presentation to donors, Mind and Brain project, The Methodist Hospital. (March 5, 2014) With Patrick O'Driscoll, Robert Grossmann, Christof Karmonik

     
     

    "Learning Multiple Latent Variables with Self-Organizing Maps." The 2010 IEEE Conference on Granular Computing (GrC 2010), Silicon Valley. (August 14-16, 2010)

     
     

    "Organized and chaired two special sessions “Machine Learning for Analysis of Hyperspectral Data”." at WHISPERS 2010, Reykjavik, Iceland. (June 14-16, 2010) With with Jón Atli Benediktsson

     
     

    Presenter.  "Applications of SOM magnification to data mining.." 8th WSEAS Int?l Conf. on Systems, Circuits, Communications, Vouliagmeni, Athens, Greece. (July 12, 2004) With Merenyi, E., Jain, A. and Farrand, W.H.

     
     

    Co-author.  "Forbidden Magnification? I.." 12th European Symposium on Artificial Neural Networks, ESANN'2004, Bruges, Belgium. (28-30 April, 2004) With Jain, A., Merenyi, E

     
     

    Presenter.  "Forbidden Magnification? II.." 12th European Symposium on Artificial Neural Networks, ESANN'2004, Bruges, Belgium. (28-30 April, 2004) With Merenyi, E., Jain, A

     
     

    Presenter.  "Information Extraction from Complex Data with Self-Organizing Maps.." ECE Dept., Rice University, (Nov 10, 2004)

     
     

    Presenter.  "Mapping Surface Materials on Mars From Mars Pathfinder Spectral Images With HYPEREYE.." International Conference on Information Technology (ITCC 2004), Las Vegas, NV. (April 7,2004) With Merenyi, E., Farrand, W.H., Tracadas, P.

     
     

    Presenter.  "Precision Data Mining With Computational Intelligence.." ECE Dept., Rice University, (Jan 21, 2004)

     
     

    Presenter.  "Rice University.." Al-Balqa University, Al-Salt (AMman), Jordan. (Oct 6, 204)

     
     

    Co-author.  "The Use of AVIRIS Imagery to Assess Clay Mineralogy and Debris-Flow Potential in Cataract Canyon, Utah.." Conf. Of the Geological Society of America, Denver, CO. (Nov 9, 2004) With Rudd, Larry

     
     

    Speaker.  "Data Mining with Self-Organizing Maps." ECE, brown bag series for 1st year graduate students, Rice University, ECE. (Nov 12, 2003)

     
     

    Presentation to 1st year graduate students.  "Analysys of High-Dimensional Patterns with Self-Organizing Neural Networks." NA, ECE Dept, Rice. (November 16, 2002) With Merényi , E.

     
     

    "?Precision Mining? of Hyperspectral Images: Analysis of High-Dimensional Patterns with Self-Organizing Maps." NASA Applied Information Systems Research Workshop, Boulder, Colorado. (Sep 21-23, 2000) With Merenyi, E

     
     

    "Mapping Colorado River Ecosystem Resources In Glen Canyon: Analysis of Hyperspectral Low-Altitude AVIRIS Imagery." ERIM, 14th Int'l Conference and Workshops on Applied Geologic Remote Sensing, Las Vegas, Nevada. (4-6 November, 2000) With Merenyi, E., Farrand, W.H., Stevens, L.E., Melis, T.S., and Chhibber, K

     
     

    "Pattern Recognition and Classification of High-Dimensional Signatures with Artificial Neural Networks: Self-Organizing Maps for Hyperspectral Image Exploitation ." Electrical and Computer Engineering Department, Rice University. (March 15, 2000) With Merenyi, E

     
     

    "Self-Organizing Maps for Rapid Identification of Planetary Resources: Neural Net tools for fast and effective information extraction from large (hyper)spectral images." NASA Office of Space Science, NASA Headquarters, Washington, DC. (February 4, 2000) With Merenyi, E

     
     

    "``Precision Mining" of High-Dimensional Patterns with Self-Organizing Maps: Interpretation of Hyperspectral Images." Int'l Symposium on Computational Intelligence, Kosice, Slovakia. (August 30 - September 1, 2000) With Merenyi, E

     
     Posters
     

    Co-author.  "Characterizing polar landscapes from hyperspectral imagery." Ninth Int'l Conference On Permafrost (NICOP 2008), Fairbanks, AK. (June 27 - July 1) With Bea Csatho, Justin Rich, Erzsébet Merényi, Lynn Everett, Brian Bue, John Kimble and Chien-Lu Ping

     
     

    co-author.  "Generalized Relevance Learning Vector Quantization for Classification Driven Feature Extraction from Hyperspectral Data." ECE Affiliates Day, Rice University, Houston, TX. (September 21, 2005) With M. Mendenhall and E. Merényi

     
     

    Co-author.  "The Nature of the Mars Pathfinder “Black Rock” Lithology: Comparisons with SNC Meteorites and Omega Spectral Images of Chryse Planitia.." Am. Geophys. Union fall conference, San Francisco, CA. (December, 2005) With Wright, S. P, Farrand, W. H., Rogers, A. D., Merényi, E.

     
     

    co-author.  "The Power of Self-Organizing Maps (SOMs) in Data Mining." ECE Affiliates Day, Rice University, Houston, TX. (September 21, 2005) With K.Taşdemir and E. Merényi

     
     Seminar Speaker
     

    Clustering of complex data sets through neural machine learning. Colloquium Series, Department os Statistics, Rice University, Houston, TX, October 5, 2009.

     
     

    Discovering and exploiting structure for better learning and inference. Dagstuhl Seminar on Similarity Based Learning on Structures.

     
     

    Invited seminar speaker.  "SOM and GRLVQ in Remote Sensing Image Analysis." Dagstuhl Seminar (invitation only) on Similarity Based Clustering and its Applications in Medicine and Biology, Schloss Dagstuhl, Leibniz-Center for Informatics, Wadern, Germany, March 25-20, 2007. (March 28, 2007)

     
     Session Chair
     

    Session organizer and chair.  "Parallel neural hardware: the time is right. (Tutorial for special session “Parallel hardware architectures for acceleration of neural network computation”.) 
    ." 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN'2012, Bruges, Belgium, 25-27 April, 2012. (April 27, 2012) With Rückert, U. and Merényi, E.

     
     

    Session organizer, chair.  "Machine Learning Approaches and Pattern Recognition for Spectral Data. (Tutorial for special session)." 16th European Symposium on Artificial Neural Networks, ESANN'2008, Bruges, Belgium, 23-25 April, 2008. (23-25 April, 2008) With T. Villmann, E. Merenyi, U. Seiffert

     
     Workshops
     

    PI of project; speaker.  "A Neural Map View of Planetary Spectral Images for Precision Data Mining and Rapid Resource Identification." PI Workshop, NASA Applied Information Systems Research Program, University of Maryland. (October 3-5, 2006) With Erzsébet Merényi, W.H. Farrand, R.H. Brown. Th. Villmann, C. Fyfe

     
     

    speaker.  "Adaptive Embedded Systems." Initial Meeting of National Consortium on System of Systems, San Antonio, Texas. (November 3, 2006) With Erzsébet Merényi, Devika Subramanian, John Clark, and Andrew Meade

     
     

    co-author, and advisor.  "Relevance-based Feature Extraction from Hyperspectral Images in the Complex Wavelet Domain." IEEE Mountain Workshop on Adaptive and Learning Systems (SMCals/06), Utah State University, Logan, Utah. (July 24 - 26, 2006) With Mendenhall, M.J., and Merényi, E.

     
     

    speaker.  "A Neural Map View of Planetary Spectral Images for Precision Data Mining and Rapid Resource Identification." PI Workshop, NASA Applied Information Systems Research Program, NASA Ames Research Center. (April 4 - 7, 2005) With E. Merényi, W.H. Farrand, R. H. Brown

     
     

    co-author.  "Considering Topology in the Clustering of Self-Organizing Maps." 5th Workshop on Self-Organizing Maps (WSOM 2005), Paris, France. (September 5 - 8, 2005) With Taşdemir, K. and Merényi, E.

     
     

    Speaker,.  "HYPEREYE: looking at hyperspectral images through neural maps." Annual PI meeting of the Applied Information Systems Research Program, NASA, Office of Spece Science, Pittsburgh, PA. (Oct 28-30) With W.H. Farrand, R. H. Brown, P. H. Smith, T. Villmann, C. Fyfe

     
     

    PI reporting on funded project.  ""Precision" Mining of Large Spectral Data volumes for Rapid Identification of Planetary Resources." Annual PI Workshop, Applied Information Systems Research Program, NASA, OSSA, NASA Ames Research Center, Mountain View, CA. (October 4 - 6, 2002) With Merényi , E., Farrand, W., Brwon, R., Smith, P.

     
     

    PI, presenter.  ""Precision Mining" of Large Spectral Data Volumes." Annual PI Workshop of NASA, OSSA Applied Information Systems Research Program, Annual PI Workshop, Laurel, MD. (October 16, 2001) With Merényi, E., William H. Farrand, Robert R. Brown, Peter H. Smith

     
    Editorial Positions
     Editor for Special Issue, EURASIP Journal on Advances in Signal Processing, special issue on "Neurals Networks for Interpretaion of Remotely Sensed Data". (2010 - 2010)

     Editor for Special Issue, EURASIP Journal on Advances in Signal Processing, special issue on "Neurals Networks for Interpretaion of Remotely Sensed Data". (2011 - 2011)

     Editor for Special Issue, EURASIP Journal on Advances in Signal Processing, special issue on "Neurals Networks for Interpretaion of Remotely Sensed Data". Springer Open. (2012 - 2013)

     Member of the Editorial Board, International Journal of Intelligent Computing in Medical Sciences and Image Processing (IC-MED). TSA Press. (2008 - 2008)

     Associate Editor, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Special Issue on Machine Learning for Remote Sensing Data Processing. IEEE. (2013 - 2014)

     Editor, Advances in Self-Organizing Maps and Learning Vector Quantization: Proc. 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016 . Springer. (2015 - 2016)

     Associate Editor, Int'l J. of Intelligent Computing and Information Science. Ain Shams University, Cairo, Egypt. (2004 - 2004)

     Associate Editor, Int'l J. of Intelligent Computing and Information Science. Ain Shams University, Cairo, Egypt. (2005 - 2005)

     Associate Editor, Neurocomputing. Elsevier. (2006 - 2006)

     Other, NASA Planetary Geology and Gophysics. (2000 - 2000)

     Other, NASA OSSA Applied Information Systems Research Program. NASA, Office of Space Science. (2001 - 2001)

     Member of the Editorial Board, International Journal of Intelligent Computing and Information Science. Ain SHams University, Cairo, Egypt. (2003 - 2003)

     Other, NASA OSSA Applied Information Systems Research. (2000 - 2000)

     Member of the Editorial Board, Int'l J. of Intelligent Computing and Information Science. Ain Shams University, Kairo, Egypt. (2008 - 2008)

     Other, IEEE Trans. On Neural Networks (TNN). (2004 - 2004)

     Other, NASA OSSA Applied Information Systems Research Program. NASA, Office of Space Science. (2001 - 2001)

     Other, IEEE Trans. On Neural Networks (TNN). (2005 - 2005)

     Member of the Editorial Board, International Journal of Intelligent Computing in Medical Sciences and Image Processing (IC-MED Journal). TSI Press. (2006 - 2006)

     Other, ICICIS (First Int'l Conference on Intelligent Computing and Information Science). Ain Shams University, Cairo. (2001 - 2001)

     Other, Neural Processing Letters. Kluwer Academic. (2000 - 2000)

     Associate Editor, Int'l J. of Intelligent Computing and Information Science. Ain Shams University, Cairo, Egypt. (2006 - 2006)

     Other, Neural Processing Letters (NPL). (2004 - 2004)

     Other, Neural Processing Letters (NPL). (2005 - 2005)

     Other, o Engineerig Applications of Artificial Intelligence (EAAI). (2005 - 2005)

     Other, IEEE Trans. On Neural Networks (TNN). IEEE Computational Intelligence Society. (2006 - 2006)

     Other, IEEE Trans. Geoscience and Remote Sensing. IEEE Geoscience and Remote Sensing Society. (2000 - 2000)

     Other, o Engineerig Applications of Artificial Intelligence (EAAI). (2004 - 2004)

     Editorial Board, Int'l Journal of Intelligent Computing and Information Science. Ain Shamps University, Kairo, Egypt. (2001 - 2001)

     Other, , European Symposium on Artificial Neural Networks (ESANN'98, ESANN'00). D-facto publications, Brussels, Belgium. (2000 - 2000)

     Other, IEEE Trans. On Geophysics and Remote Sensing (TGARS). IEEE Geoscience and Remote Sensing Society. (2006 - 2006)

     Other, o IEEE Trans. On Geophysics and Remote Sensing (TGARS). (2004 - 2004)

     Other, o IEEE Trans. On Geophysics and Remote Sensing (TGARS). (2005 - 2005)

     Other, Icarus (the premier planetary science journal). (2005 - 2005)

     Other, Neural Processing Letters (NPL). Springer. (2006 - 2006)

     Other, Icarus (the premier planetary science journal). (2004 - 2004)

     Other, Int'l Symposium on Computational Intelligence (ISCI'2000). Physica-Verlag. (2000 - 2000)

     Other, Geophysical Research Letters. (2005 - 2005)

     Other, Engineerig Applications of Artificial Intelligence (EAAI). Elsevier. (2006 - 2006)

     Other, Geophysical Research Letters. (2004 - 2004)

     Other, Int'l Computer Science Conventions (ICSC) Symposia on Soft Computing and Intelligent Systems for Industry (SOCO'2001 and ISFI'2001). ISCS Academic Press. (2000 - 2000)

     Other, Photogrammetric Engineering and Remote Sensing. ASPRS. (2000 - 2000)

     Other, Hans Grahn, Image Analysis in the Hypercube. Wiley and Sons. (2004 - 2004)

     Other, Data Mining and Knowledge Discovery (DAMI). Springer. (2006 - 2006)

     Other, Computers & Electrical Engineering. (2000 - 2000)

     Other, Neurocomputing. Elsevier. (2006 - 2006)

     Other, ICARUS. (2000 - 2000)

     Other, Autosoft Journal. TSI Press. (2006 - 2006)

     Other, System, Man and Cybernetics. IEEE System, Man and Cybernetics Society. (2006 - 2006)

     Other, Natural Hazards. Springer. (2006 - 2006)

     Other, ICARUS, International Journal of Solar System Studies. Division for Planetary Sciences of the American Astronomical Society. (2006 - 2006)

     Other, Geophysical Research Letters. American Geophysical Union. (2006 - 2006)

    Supervised Theses & Dissertations
     Theresa Klein, M.Sc. Using Reinforcement Learning to Control Advanced Life Support Systems (Computer Science Dept., Rice University). (2004) (Committee Member)

     Abha Jain, M.Sc. Issues Related to Data Mining With Self-Organizing Maps (ECE Dept., Rice University). (2004) (Thesis or Dissertation Director)

     Feng Qiao, M.Sc Segmenting Contrast-enhanced CT Images for Attenuation Correction of PET / CT Data (ECE Dept., Rice University). (2005) (Committee Member)

     Major Michael J. Mendenhall, Ph.D. A Neural Relevance Model for Feature Extraction from Hyperspectral Images, and its Application in the Wavelet Domain (ECE Dept., Rice University). (2006) (Thesis or Dissertation Director)

     Kadim Tasdemir, PhD The Use of Data Topology in Unsupervised Clustering of High-Dimensional (ECE Dept., Rice University). (2008) (Thesis or Dissertation Director)

     Ankur Srivastava, PhD Calibration of Flush Air Data Sensing Systems Using Surrogate Modeling Techniques (Mechanical Engineering Dept., Rice University). (2010) (Committee Member)

     Ramkumar Balasubramanian, Ph.D. Forcasting Geomagnetic Activity Indices Using the Boyle Index through Artificial Neural Networks (Physics and Astronomy, Rice University). (2010) (Committee Member)

     Robert Kester, Ph.D. A Real-time Snapshot Hyperspectral Endoscope and Miniature Endomicroscopy Objectives for a Two Field-Of-View (Bi-FOV) Endoscope (Dept. Bioengineering, Rice U). (2010) (Committee Member)

     Petra Schneider, Ph.D. Advanced methods for prototype-based classification (Dept. Mathematics, University of Groningen, Netherlands). (2010) (Committee Member)

     Christopher Pohl, Ph.D. Konfigurierbare Hardwarebeschleuniger für selbst-organisierende Karten (Reconfigurable Hardware Accelerator for Self-organizing Maps) (Heinz Nixdorf Institute, University of Paderborn, Germany). (2010) (Co-Director)

     Lili Zhang, Ph.D. Learning the Structure of High-dimensional Manifolds with Self-Organizing Maps for Accurate Information Retreival (Applied Physics, Rice University). (2011) (Thesis or Dissertation Director)

     Kerstin Bunte, PhD Adaptive Dissimilarity Measures, DimensionReduction and Visualization (Mathematics Dept., University of Groningen, Netherlands). (2011) (Committee Member)

     Miguel Angel Veganzones Bodón, PhD Contributions to hyperspectral image processing from Lattice Computing and Computational Intelligence (University del Pais Vasco). (2012) (Committee Member)

     Brian Bue, Ph.D. Automatic Labeling of High-Dimensional Earth and Space Science Spectral Images for Knowledge Discovery (ECE Dept., Rice University). (2012) (Thesis or Dissertation Director)

     Patrick O'Driscoll, MSc Using Self-Organizing Maps to discover functional relationships of brain areas from fMRI images (Applied Physics, Rice U). (2013) (Thesis or Dissertation Director)

     Brian David Bue, PhD Automatic Labeling of High-Dimensional Earth and Space Science Spectral Images for Knowledge Discovery (ECE, Rice U). (2013) (Thesis or Dissertation Director)

     Noah Bedard, PhD Multi-Modal Imaging Techniques for Early Cancer Diagnostics (Bioengineering, Rice U). (2013) (Committee Member)

     Niketan Pansare, PhD TBA (Computer Science, Rice U). (2014) (Committee Member)

     Jonathan S. Lin, PhD Development of a Multivariate Prediction Technique for Tissue Features Based on Quantitative Imaging of Biomarkers (Bioengineering, Rice U). (2014) (Committee Member)

     Ernest Mwebaze, PhD Divergences for Prototype-based Classification & Causal Structure Discovery. Theory and Application to Natural Datasets (Department of Mathematics, Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen). (2014) (Committee Member)

     Niketan Pansare, PhD Large-Scale Online Aggregation Via Distributed Systems (Department of Computer Science, Rice University). (2014) (Committee Member)

     Jonathan S. Lin, PhD Development of a Multivariate Prediction Technique for Tissue Features Based on Quantitative Imaging of Biomarkers (Department of Bioengineering, Rice U). (2015) (Committee Member)

     Balint Csendes, PhD TBA (Department of Informatics and Department of Geology, Szeged University, Hungary). (2015) (Co-Director)

     Dalu Yang, MSc Characterizing and Predicting Molecular Signatures in Glioblastome Using Magnetic Resonance Imaging-derived Phenotypic Traits (Dep. of Electrical Engineering, Rice U). (2015) (Committee Member)

     Ye Wang , MS and PhD Light-guide snapshot spectrometer for biomedical applications (Department of Bioengineering, Rice U). (2016) (Committee Member)

     Patrick O'Driscoll, PhD TBA (Applied Physics, Rice University). (2016) (Thesis or Dissertation Director)

     Adam Shadfan, PhD Multimodal Foveated Endomicroscope for the Detection of Esophageal Adenocarcinoma in Barrett’s Esophagus (Department of Bioengineering, Rice University). (2016) (Committee Member)

     Ben Kramer, MSc TBD; subject: the use of objective motion metrics to evaluate surgeon skill (Department of Mechanical Engineering, Rice U). (2016) (Committee Member)

     Patrick O'Driscoll, PhD TBA (Applied Physics Program, Rice University). (2017) (Thesis or Dissertation Director)

     Joshua Taylor, PhD TBD; subject: cancer data analysis with neural machine learning (Department of Statistics, Rice U). (2018) (Thesis or Dissertation Director)

     Du Nguyen, Ph.D. His career at Rice was interrupted by illness. (Thesis or Dissertation Director)

     Noah Bedard, Ph.D. Bioengineering. (Committee Member)

    Awards, Prizes, & Fellowships
     Keynote speaker / resident, NATO Science for Peace Workshop, Split, Croatia, NATO Science for Peace (April 16 - 20, 2012)

     Speaker / resident, workshop “Theoretical Aspects of High-Dimensional Problems and Information-Based Complexity”, Housdorff Institute of Mathematics, Bonn, Germany (May 20-24)

     Organizer, Dagstuhl Seminar “Learning in the Context of Very High Dimensional Data”, Competitive award, by Int’l Conference and Research Center for Computer Science (Leibniz Center), Schloss Dagstuhl, Wadern, Germany (August 21-26, 2011)

     Knowledge discovery from complex data with biologically inspired machine intelligence: selected applications in medicine and environmental monitoring, Nanyang Technological University (January 25-30, 2010)

     Self-Organizing Maps and Applications to High-Dimensional, Complex Data , (December 5-7, 2010)

     Knowledge discovery from complex data with biologically inspired machine intelligence: selected applications in medicine and environmental monitoring, Travel award to visit and speak at Nanyang Technological University, Singapore. (January 25-30, 2010)

     Dagstuhl Seminar “Similarity-based Clustering and its Application to Medicine and Biology"; By Invitation only., Partial support by the governments of Saarland and Rhineland-Palatinate (Germany) (March 25-30, 2007)

     Other awards: renewed research grants, see under "Grants and Fellowships", various (various)

     Travel award, Al Balqa University (10/4-7/04)

     Travel Award, Philadelphia University (10/10/04)