School of Electrical & Computer Engineering 
Prof. Geva, Amir B.

Born: 1959, Haifa, Israel. 
Ph.D: 1994, Technion, Haifa, Israel; Lecturer, 1995. 
Research Interests:
Algorithms and Computer Systems, Biomedical Signal Processing and System Identification, Pattern Recognition, Fuzzy Clustering, Neural Networks, Wavelets Analysis, Time Series Prediction, Electroencephalography (EEG), Bioelectric Inverse Problem, Source Estimation of Brain Evoked Potentials, Functional Brain Imaging and Modeling, Forecasting Epileptic Seizures, Heart Rate Variability Analysis, Noninvasive Acoustical Detection of Coronary Artery Disease. 
Address at work: Electrical and Computer Engineering Department
                             Ben-Gurion University of the Negev
P.O.B. 653, Beer-Sheva 84105, Israel
Tel: +972-8-6472408, Fax: +972-8-647-2949
e-mail: geva@ee.bgu.ac.il,
home-page: http://www.ee.bgu.ac.il/~geva/

 
Publications
  1. Articles in scientific journals
  2. Book Chapters
  3. Proceedings Chapters

Present Academic Activities

  1. Research in progress
  2. Articles in progress
  3. Book in progress
Teaching
  • Introduction to computers (36113201)
  • Algorithms and Data Structures (36113691)
  • Bioelectric Signals (36114651)
  • Clustering and Unsupervised Computer Learning (Graduate)

Publications:

 

  1. Refereed Articles in Scientific Journals

    1. Gath, I. and Geva, A.B., "Fuzzy Clustering for the Estimation of the Parameters of the Components of Mixtures of Normal Distributions," Pattern Recognition Letters, no. 9, pp. 77-86, February 1989.
    2. Gath, I. and Geva, A.B., "Unsupervised Optimal Fuzzy Clustering," IEEE transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 11, pp. 773-781, July 1989.
    3. Pratt, H., Geva, A.B. and Mittelman, N., "Computational Waveform Analysis and Classification of Auditory Brainstem Evoked Potentials," Acta Oto-Laryngologica (Stockholm), vol. 113, pp. 279-284, 1993.
    4. Pratt, H., Mittelman, N. and Geva, A.B., "Machine-Scoring of Somatosensory Evoked Potentials," Electroenceph. clin. Neurophysiol., vol. 92, pp. 89-92, 1994.
    5. Pratt, H., Erez, A. and Geva, A.B., "Lexicality and Modality Effects on Evoked Potentials in a Memory-Scanning Task," Brain and Language, vol. 46, pp. 353-367, 1994.
    6. Geva, A.B. and Pratt, H., "Unsupervized Clustering of Evoked Potentials by Waveform," Medical & Biological Engineering & Computing, vol. 32, pp. 543-550, September 1994.
    7. Gath, I., Feuerstein, C. and Geva, A.B., "Unsupervised classification and adaptive definition of sleep patterns," Pattern Recognition Letters, no. 15, pp. 977-984, October 1994.
    8. Pratt, H., Geva, A.B.,Feingold, K. and Zeevi, Y.Y., "Source Estimation of Auditory Brainstem Evoked Potentials: Comparison of 3CLT and Dipole Localization," Acta- Oto-Laryngologica (Stockholm), vol. 115, pp. 363-366, 1995.
    9. Pratt, H., Zaaroor, M., Bleich, N. and Geva, A.B., Starr, A., "Effects of Myelin or Cell Body Branstem Lesions on 3-Channel Lissajous’ Trajectories of Fast and Slow Components of the Feline Auditory Brainstem Evoked Potentials," Journal of Basic and Clinical Physiology and Pharmacology, vol. 6, no. 2, pp. 109-127, 1995.
    10. Geva, A.B., Pratt and H., Zeevi, Y.Y, "Spatio-Temporal Multiple Source Localization by Wavelet-Type Decomposition of Evoked Potentials," Electroenceph. clin. Neurophysiol., vol. 96, pp. 278-286, 1995
    11. Pratt, H., Erez, A. and Geva, A.B., "Effects of Auditory/Visual and Lexical/Non-Lexical Comparisons on Event-Releted Potentials in a Memory-Scanning Task," Memory, vol. 5, no. 3, pp. 321-342, 1997.
    12. Geva, A.B., Pratt, H., Zeevi, Y.Y., "Multichannel Wavelet-Type Decomposition of Evoked Potentials: Model-Based Recognition of Generator Activity," Medical & Biological Engineering & Computing, vol. 35, no. 1, pp. 40-46, January 1997.
    13. Geva, A.B., "Feature Extraction and State Recognition in Biomedical Signals with Hierarchical Unsupervised Fuzzy Clustering Methods," Medical & Biological Engineering & Computing, vol. 36, no. 5, pp. 608-614, September 1998.
    14. Geva, A.B. and Kerem, D.H., "Forecasting Generalized Epileptic Seizures from the EEG Signal by Wavelet Analysis and Dynamic Unsupervised Fuzzy Clustering," IEEE Trans. on Biomedical Engineering, vol. 45, no. 10, pp. 1205-1216, October 1998.
    15. Geva, A.B., "ScaleNet - MultiScale Neural Network Architecture for Time Series Prediction," IEEE Trans. on Neural Networks, vol. 9, no. 6, pp. 1471-1482, November 1998.
    16. Geva, A.B., "Bioelectric Sources Estimation using Spatio-Temporal Matching Pursuit," Applied Signal Processing, vol. 5, pp. 195-208, 1998.
    17. Peled, A., Geva, A.B., “Brain Organization and Psychodynamics,” Journal of Psychotherapy Practice and Research, vol. 8, no. 1, pp. 24-39, Winter 1999.
    18. Geva, A.B., "Hierarchical Unsupervised Fuzzy Clustering," IEEE Trans. on Fuzzy Systems, vol. 7, no. 6, pp. 723-733, December 1999.
    19. Geva, A.B., "Hierarchical-Fuzzy Clustering of Temporal-Patterns and its Application for Time-Series Prediction," Pattern Recognition Letters, vol. 20, no. 14, pp. 1519-1532, 1999.
    20. Poliker, S. and Geva A.B., "Non-Stationary Time Series Analysis by Temporal Clustering", IEEE Trans. on Systems, Man and Cybernetics (SMC) – Part B: Cybernetics, vol. 30, no. 2, pp. 339-343, April 2000.
    21. Geva, A.B. and Peled, A., "Simulation of Cognitive Disturbances by a Dynamic Threshold Semantic Neural Network ", Journal of the International Neuropsychological Society, vol. 6, no. 5, pp. 608-19, July 2000.
    22. Geva, A.B., Shtram, L. and Policker, S., “Errors in a Nonlinear Graphic-Semantic Maping Task Resulting from Lesions in Boltzmann Machine: Is it Relevant to Dyslexia?”, Journal of the International Neuropsychological Society, vol. 6, no. 5, pp. 620-626, July 2000.
    23. Peled, A., Geva A. B., “The Perception of Rorschach Inkblots in Schizophrenia: A Neural Network Model,” International Journal of Neuroscience, vol. 104, no. 1-4, pp. 49-61, September-October 2000. 
    24. Cohen, H., Benjamin, J., Geva, A.B., Matar, M.A., Kaplan, Z. and Kotler, M., “Autonomic dysregulation in panic disorder and in posttraumatic stress disorder: Application of power spectrum analysis of heart rate variability at rest and in response to recollection of trauma or panic”, Psychiatry Research, vol. 96, no. 1, pp. 1-13, September 2000.
    25. Peled, A., Ritsner, M., Hirshman, S., Geva, A. B. and Modai, I., “Touch Feel Illusion in Schizophrenic patients”, Biological Psychiatry, vol. 48, no. 11, pp. 1105-8, Dec 2000.
    26. Steinberg, Y., Bruckmair, S. and Nahum G., “A comparison of cluster validity criteria for mixture of normal distributed data,” Pattern Recognition Letters, vol. 21, pp. 511-529, 2000.
    27. Peled, A.,  Geva A.B., Kremen, W.S., Blankfeld, H.M., Esfandiarfard, R., and Nordahl, T.E., “Functional Connectivity and Working Memory in Schizophrenia: An EEG Study,” the International Journal of Neuroscience, vol. 106, pp. 47-61, 2001. 
    28. Raz, D., Seeliger, M.W., Geva, A.B., Percicot, C. L., Lambrou, G. N. and R.Ofri “The effect of contrast and luminance on mfERG responses in a monkey model of glaucoma”, accepted to Investigative Ophthalmology & Visual Science (IOVS), 2003.
    29. Peled, A., Pressman, A., Geva, A.B., Modai, I., “Somatosensory evoked potentials during a rubber-hand illusion in schizophrenia”, accepted to Schizophrenia Research, 2003.

  2. Fully reviewed Book Chapters

    1. Gath, I., Geva, A.B., "Unsupervised Optimal Fuzzy Clustering," in Fuzzy Models For Pattern Recognition, edited by J.C.Bezdek and S.K.Pal, IEEE Press, NY, 1992, pp. 211-218.
    2. Geva, A.B., Pratt, H., Zeevi,Y.Y., "Spatio-Temporal Source Estimation of Evoked Potentials by Wavelet-Type Decomposition: Wavelet-Type Source Estimation of EPs," in Advance in Processing and Pattern Analysis of Biological Signals, edited by I. Gath and G. Inbar, Plenum Publishing Corporation, NY, 1996, chap. 8, pp. 103-122
    3. Geva, A.B., Kerem, D.H., "Brain State Identification and Forecasting of Acute Pathology using Unsupervised Fuzzy Clustering of EEG Temporal Patterns," in Fuzzy and Neuro-Fuzzy Systems in Medicine, edited by H.-N. Teodorescu, A. Kandel and L.C. Jain, CRC Press, 1999, chap. 3, pp. 57-93.
    4. Geva, A.B., "Applications of Fuzzy Clustering to Biomedical Signal Processing and Dynamic System Identification", in Nonlinear Biomedical Signal Processing, edited by M. Akay, IEEE Press, NJ, 2000, vol. 1, chap. 2, pp. 27-52.
    5. Geva, A.B. and Kerem, D.H., “Fuzzy Clustering in Medicine”, in Fuzzy Logic in Medicine, edited by S.Barro and R.Marin, Physica-Verlag, A Springer-Verlag Company, Germany, 2002, pp. 139-176.
    6.   Geva, A.B., "Wavelet and Other Algorithm Techniques in Model Evaluation of Human Cerebral Functioning", Accepted to Computer Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems, Algorithm Development, Mathematical Analysis and Diagnostic, edited by C.T. Leondes, Vol. 3, Mathematical Analysis Methods, Kluwer Academic Puplishers, 2003, pp. 99-130.
    7. Geva, A.B., "Dynamic System Identification Using Fuzzy Clustering of Temporal Patterns", Accepted to The Handbook of Applied Computational Intelligence, edited by M.L. Padgett, N.B. Karayiannis and L.A. Zadeh, CRC Press.

  3. Refereed Chapters/Papers in Scientific Conference Proceedings

    1.  Gath, I. and Geva, A.B., “Pattern Analysis of Sleep EEG: Adaptive Definition of Sleep Stages,” ICAPRDT 93 Proceedings, International Association for Patten Recognition, Calcutta, India, December 1993, pp. 508-514.
    2. Geva, A.B. Gath, I., “Decision Making in Electromyography Using Wavelet-Type Analysis and Fuzzy Clustering,” 1996 Proceedings of IEEE International Conference on System, Man and Cybernetics, Beijing, China, vol. 1, pp. 276-279.
    3. Geva, A.B. and Peled, A., “A Dynamic Threshhold Neural Network for Modeling Interference in a Sequence of Associative Memories,” 1996 Proceedings of IEEE International Conference on System, Man and Cybernetics, Beijing, China, October 1996, vol. 2, pp. 1309-1314.
    4. Geva, A.B., “Spatio-Temporal Matching Pursuit (SToMP) for Multiple Source Estimation of Evoked Potentials,” IEEE Proceedings of the Nineteenth Convention of the Electronics Engineering, Jerusalem, Israel, November 1996, pp. 113-116.
    5. Geva, A.B. and Altman, A.K, “ScaleNet  -  MultiScale   Neural   Network   Architecture for Time  Series  Prediction,” IEEE Proceedings of The Nineteenth Convention of the Electronics Engineering, Jerusalem, Israel, November 1996, pp. 243-246.
    6. Shtram, L, Poliker,S and Geva, A.B., “The Effect of Temperature parameter on Convergence in the Boltzmann Machines,” IEEE Proceedings of The Nineteenth Convention of the Electronics Engineering, Jerusalem, Israel, November 1996, pp. 200-203.
    7. Geva, A.B., “Dynamic Unsupervised Fuzzy Clustering in Forecasting Events from Biomedical Signals,” Ministry of Science, International Conference on Fuzzy Logic and Applications, Zichron Yaakov, Israel, May 1997, pp. 391-405.
    8. Geva, A.B., “Unsupervised Hierarchical Fuzzy Clustering Methods in Forecasting Medical Events from Biomedical Signals,” IEEE Proceedings of The 1997 International Conference on System Man, and Cybernetics, Orlando, Florida, USA, 1997.
    9. Poliker, S. and Geva A.B., "A Model for Non-Stationary Time Series Analysis with Clustering Methods", The Second International Workshop on Statistical Pattern Recognition, Sydney, Australia, August 1998, pp. 649-657.
    10. Poliker, S. and Geva A.B., "Non-Stationary Signal Analysis using Temporal Clustering", Proceedings of the 1998  IEEE Signal Processing Society Workshop on Neural Networks for Signal Processing VIII, Cambridge, England, September 1998, pp. 304  ­312.
    11. Gergel, A., Geva, A.B. and Shavit R., “Comparison of one and 3 layers analytical head models with the corresponding numerical finite element head models”, Electroencephalography and clinical Neurophysiology, 1998, vol. 107, pp. 37-39.
    12. Geva, A.B., “Non-Stationary Time Series Prediction using Fuzzy Clustering", 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS, New York, USA, June 1999, pp. 413-417.
    13. Pressman, A., Peled, A. and Geva A.B., “Synchronization Analysis of Multi-Channel EEG of Schizophrenic During Working Memory Task”, IEEE Proceedings of The 21st Convention of the Electronics Engineering in Israel, Tel-Aviv, Israel, April 2000, pp. 337-341.
    14. Castro, D., Kogan, D. and Geva A.B., “ECG Feature Extraction Using Optimal Mother Wavelet", IEEE Proceedings of The 21st Convention of the Electronics Engineering in Israel, Tel-Aviv, Israel, April 2000, pp. 346-350.
    15. Policker, S., Geva, A.B., “A New Algorithm for Time Series Prediction by Temporal Fuzzy Clustering”, Proceedings of the International Conference on Pattern Recognition (ICPR), Spain, 2000, vol. 2, pp. 732-735.
    16. Lin, E., Neufeld, M.Y., Kerem, D.H. and Geva, A.B., "Human Epileptic Seizure Prediction and State Identification with Fuzzy Clustering of Wavelet-Based Features", Analysis of Biomedical Signals and Images, Ed. J.Jan, J.Kozumplik, I. Provaznik, in 16-Th Biennial International Eurasip Conference, Biosignal 2002 - Proceedings, Brno, Check Republic, May 2002, pp. 65-68.

Present Academic Activities :

  1. Research in progress

    1. Dynamic Fuzzy Clustering of Temporal Patterns for Signal Processing and System Identification
    2. EEG and Evoked Potentials Analysis of Cognitive Function and Disorders
    3. Artificial Neural Networks for Modeling of Cognitive Function and Disorders
    4. Temporal Pattern Recognition of the Heart Rate Variability Signal.
    5. Noninvasive Acoustic Detection of Coronary Artery Blocks.
    6. Data Mining and Rule Extraction by Clustering.

  2. Articles in progress

    1. Lin, E., Noifeld, M. and Geva, A.B., “Human Epileptic Prediction with Fuzzy Clustering of Wavelet and Polyspectra-Based Features”, in preparation for IEEE Biomedical Engineering.
    2. Golan, R. and Geva, A.B., “Time-Varying Multirate Mixture Distribution Analysis by Multiscale Running Temporal Clustering, in preparation for IEEE Fuzzy Systems.
    3. Geva, A.B. and Bezdek, J.C. , “A notes on the relations between the G-FCM (fMLE) and the W-EM algorithms and a new Generalized set of Possibility-Fuzzy Learning Vector Quantization algorithms for Gaussian-Type clusters”, in preparation for IEEE Fuzzy Systems.
    4. Geva, A.B., "Stabilized the Unsupervised Optimal Fuzzy Clustering (UOFC) Algorithm: Hyper-Planes Recognition", in preparation for IEEE Fuzzy Systems.

  3. Book in progress

    1.  Cohen A., Geva, A.B. and Kerem, D.H., “Biomedical Signal Processing and Data Mining” (provisional name).

 

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