Zvi Boger, President
OPTIMAL - Industrial Neural Systems Ltd.
54 Rambam St., Suite #33
Be’er Sheva, 84243 Israel
Tel (+) 972-8-627-4478
Fax (+) 972-77-533-6199
and
Optimal Neural Informatics LLC
8203 Springbottom Way
Baltimore, MD 21208 USA
Tel. 410-415-6075
Fax 484-971-1891
E-mail zvi@peeron.com
Guest Researcher
Department of Bio-Medical Engineering
Bergman Campus, N2 Building, Room 2028
Ben-Gurion University
Be’er Sheva 84109 Israel
Tel. (+) 972-54-950-9303
E-mail zboger@post.bgu.ac.il
Professional Resume of Zvi Boger
Zvi Boger received his B.Sc. and M.Sc. degrees in Chemical Engineering from the Technion - Israel Institute of Technology. Since graduation in 1959 until his retierment he was employed at the Nuclear Research Center – Negev in engineering research and management positions. His last position was a Senior Engineer at the Licensing and Safety Division of the Israeli Atomic Energy Commission (IAEC) in Tel-Aviv, with an Israeli Government Research Grade equivalent to a Full University Professor.
In addtion to his research activities in the IAEC, he had an appointment as an Adjunct Professor in the Department of Chemical Engineering at Ben-Gurion University, Be'er-Sheva, Israel, in charge of the Process Control Laboratory. He advised several PhD and MSc students in Ben-Gurion University and the Technion – Institute of Technology, Haifa, Israel. Currently he is Guest Researcher with the Department of Bio-Medical Engineering, Ben-Gurion University of the Negev, Be’er Sheva. He has published more than 140 journal and conference papers, and was granted several patents.
Additional research was done during Mr. Boger’s sabbatical leaves at the Laboratory for Intelligent Systems for Process Engineering, MIT (1989/90), Chemical Engineering Department, University of Sydney (1995/6), Institute for System Research, University of Maryland in College Park (1996/7), and as a Guest Researcher at the Chemical Science and Technology Laboratory of the US National Institute of Standards and Technology (1996/7 and 2001/2005).
As a consultant in process control and modeling, he worked with the Foxboro Co., USA for two years (1978-9), and provided consulting services to the USA companies General Monitors Inc., Pacific Northwest National Laboratory, National Institute of Standards and Technology, ChemSensing Inc., Vista Engineering Inc., Deutsche Telecom, Germany, and the Imperial Chemical Industries (ICI), Australia. Among his Israeli clients were AFCON, TAHAL - Israel Water Planning, Haifa Chemicals, Epix Pharmaceuticals, Dan Region Association of Towns, M.S.Tech, Maximal – Innovating Intelligent Solutions and INTEL Israel. Some of the major computer process control projects in which he participated as a consultant are: a $100 million polypropylene plant in Sydney, Australia, a penicillin production plant in New-Jersey, a polymer production plant in Wisconsin and the Tel-Aviv Metropolitan Area $80 million wastewater treatment plant.
Mr. Boger work in simulation and process control led him to study the real-time applications of expert systems in industry. In 1990, while on a sabbatical leave at the Laboratory for Intelligent Systems for Process Engineering at the MIT, he became interested in applying artificial neural networks (ANN) as an industrial process modeling tool and for the extraction of new knowledge from the analysis of the trained ANN model.
Mr. Boger is the president of two consulting companies, OPTIMAL – Industrial Neural Systems Ltd., Be’er-Sheva, Israel and Optimal Neural Informatics LLC, Pikesville, Maryland, USA.. These companies provide ANN modeling, consulting, implementation and software development services for industrial, bio-medical and commercial applications. He was a co-founder of NEXSYS - Neural Expert Systems Ltd., Mishor Rotem, Israel, that developed and marketed in 1992-1995 the TURBO - NEURON software package for fast teaching of large scale ANN.
Since 1990 Mr. Boger is active in the development and the application of ANN modeling techniques in various fields of science and engineering. Some of the applications are Industrial Process Modeling and Control, Knowledge Acquisition and Data Mining, Spectra Analysis, Quantitative Structure Activity Relationship of Chemical Compounds, On-line Fault Diagnosis and Predictive Maintenance, Safety and Environmental Modeling and Instrumentation, Automatic Text Classification, and Bio-Medical Pattern Recognition. As a Guest Researcher at NIST he was involved in analyzing by ANN modeling the data generated by micro-scale “electronic nose” sensor arrays, monitoring dangerous chemicals at trace levels. As a participant in the Bio-Computing Interest Group at the US National Institute of Health, he is active in the bio-informatic areas .
His management experience was augmented by serving on the board of directors of the Advanced Technologies Center Temed, an Israeli government supported “incubator” of high-tech start-up companies, and on the boards of directors of several Israeli start-up companies: Terlite, developing instrumentation for drug identification by fluorescence analysis, Q-Scent, developing a hand-held scent monitor based on Ion Mobility Spectrometer technology, and Medex, developing medical diagnosis instrumentation by electrical stimulation and measurement of the nervous system response.
Mr. Boger is a member of of the Israeli Institute of Chemical Engineers, in which he served for several years on the board of directors; the Israeli Nuclear Societies and the Israeli Association for Automatic Control.
144. P. Elia, S. Raizelman, E. Katorza, Y. Matana, Z. Boger, Y. Zeiri and P. Mariotini, Bio-markers in urine for detection of cervical cancer. Presented at the Annual Meeting of the Israel Society for Medical and Biological Engineering, Haifa, Israel, Feb. 2014.
143. M. E. Lόpez, Z. Boger, E. R. Rene, M. C. Veiga and C. Kennes, Neural modeling of a one-stage biotrickling filter handling H2S and VOC mixtures. Journal of Hazardous Materials 269 (2014) 45–55
142. K. Hulkower, A. Sen, Z. Boger, H. Ding and J. Nedrud, Detection of Helicobacter pylori infection in exhaled breathusing an artificial neural network in conjunction with a colorimetric sensor array. Submitted for publication, 2013.
141. T. Kuflik, Z. Boger and M. Zancanaro, Analysis and prediction of museum visitors’ behavioral patterns types. In A. Kruger, T. Kuflik (eds.), Ubiquitous Display Environments, Cognitive Technologies, DOI 10.1007/978-3-642-27663-7_10, Springer-Verlag Berlin Heidelberg 2012. pp. 161-176.
139. M. Tasin, A. Lucchi, C. Ioriatti, M. Mraihi, A. De Cristofaro,
Z. Boger and G. Anfora, Oviposition response of the moth lobesia botrana to sensory cues from a host plant. Chemical Senses 2011; doi:10.1093/chemse/bjr027
136. Z. Boger, Artificial neural networks modeling to reduce industrial air pollution. In J. Mehnen, M. Köppen, A. Saad, and A. Tiwari, (eds.), Advances in Soft Computing, Springer, 2009.
135. R. Arav-Boger, Y.S. Boger, C.B. Foster and Z. Boger, The use of artificial neural networks to enhance prediction of congenital CMV outcome from sequence data. Bioinformatics and Biology Insights vol. 2, 2008, pp. 281-289.
(also available in http://www.researchgate.net/publication_26879608)
134. D. Stopel, Z. Boger, R. Moskovitch, Y. Shahar, Y. Elovici, Using artificial neural networks to detect unknown computer worms. Neural Computing and Applications, vol. 18, (7), 2009, pp. 663-674.
133. R. Moskovitch, D. Stopel, Z. Boger, Y. Shahar, and Y. Elovici, Method and system for detecting malicious behavioral patterns in a computer, using machine learning. US Patent Application number US20080184371. 07/31/2008
132. D. Stopel, Y. Elovici, Y. Shahar, Z. Boger and R. Moskovitch, Improved method and system for detecting malicious behavioral patterns in a computer, using machine leaning. EU Patent Application number EP1879124. 01/16/2008
131. J.J. Huseynov, S.B. Baliga, A. Widmer and Z. Boger, An adaptive method for industrial hydrocarbon flame detection. Neural Networks, vol. 21(2-3), 2008, pp. 398-405.
130. D.C. Meier, J.K. Evju, K.D. Benkstein, B. Raman, Z. Boger, D.L. Lahr and S. Semancik, Enabling MEMS chemical microsensor arrays for trace analyte detection. Proceedings of the TRANSDUCERS and EUROSENSORS '07 - 4th International Conference on Solid-State Sensors, Actuators and Microsystems, 2007, p 2397-2400.
129. R. Moskovitch, D. Stopel, Z. Boger, Y. Shahar and Y. Elovici, Method and system for detecting malicious behavioral patterns in a computer, using machine learning. US Patent Application #20070294768, 2007, EU Patent Application nunber 07001952.6, 2007.
128. Y. Elovici, D. Stopel, R. Moskovitch, Y. Shahar, and Z. Boger, Improved method and system for detecting malicious behavioral patterns in a computer, using machine learning. EU Patent Application number EP1814055. 08/01/2007.
127. Z. Boger: Experience in the applications of artificial neural networks in bio-informatics. In Meller and Novak, (eds.), Applications of statistical and machine learning methods in bioinformatics, Advances in Computational and System Biology Series, Vol. 1. Peter Lang Publishing Group, Bern, 2007.
126. Y. HaCohen-Kerner, Z. Boger, H. Beck, E. Yehuday, Classifying documents' authors to their ethnic group using stems and ANNs. Proceedings of the CAINE-2007: ISCA 20th International Conference on Computer Applications in Industry and Engineering, San Francisco, 2007, pp. 5-11.
123. L. Zhu, D. Meier, Z. Boger, C. Montgomery, S. Semancik, D.L. DeVoe, Integrated microfluidic gas sensor for detection of volatile organic compounds in water supplies. Sensors and Actuators B, vol 121(2), 2007, pp. 679-688.
122. D.C. Meier, J.K. Evju, Z. Boger, B. Raman, K.D. Benkstein, C.J. Martinez, C.B. Montgomery and S. Semancik, The potential for and the challenges of detecting chemical hazards with temperature-programmed microsensors. Sensors and Actuators B, vol. 121(1) 2007, pp. 282-94.
120. Z. Boger, Analysis of bio-informatics data by large-scale artificial neural networks. Proceedings of the 9th Israeli Bioinformatics Symposium. Ramat-Gan, Israel, October 2006 (abstract).
118. D. C. Meier, J. K. Evju, Z. Boger, K. D. Benkstein, C. B. Montgomery and S. Semancik, Generating and processing temperature-dependent databases for trace species recognition in gas mixtures. Proceedings of the 11th Interrnational Meeting on Chemical Sensors, Italy, July 2006.
117. Z. Boger, Analysis of medical data-bases by models trained by artificial neural networks. Presented at the Annual Meeting of the Israeli Association for Medical Information, Tel-Aviv, May 2006, (Abstract in Hebrew).
116. D. Stopel, Z. Boger, R. Moskovitch, Y. Shahar, Y. Elovici, Application of artificial neural networks techniques to computer worm detection. Proceedings of the World Conference on Computational Intelligence WCCI’06, Vancouver, Canada, 2006, IJCNN06, pp. 2362-2369
115. D. Stopel, Z. Boger, R. Moskovitch, Y. Shahar, Y. Elovici, Method and system for detecting abnormal states in a computer. Israeli Patent Application number 173473, 31/1/2006.
114. Z. Boger, D.C. Meier, J. Evju and S. Semancik, Artificial neural networks-based recognition of chemical hazards using “artificial nose” signals. Proceedings of the 9th annual meeting of the Israel Analytical Chemistry Society, ISRANALYTICA 2006, Tel Aviv, Israel, January 2006 (Abstract).
113. J. Evju, Z. Boger, D. Meier, C. Montgomery and S. Semancik, Reliable recognition of low level simulated chemical weapons, Proceedings of the Fourth IEEE Conference on Sensors, 2005, pp. 1263-1266.
112. T. Kuflik, Z. Boger and P. Shoval, Filtering search results using an optimal set of terms identified by an artificial neural network. Information Processing & Management, vol. 42(2), 2005, pp 469-483.
111. J. Huseynov, Z. Boger, G. Shubinsky, S. Baliga, Optical flame detection using artificial neural networks. Proceedings of the International Joint Conference on Neural Networks, IJCNN’05, Montreal, Canada, 2005 pp. 1959-1964.
110. R. Pregla, A. Anderson, L. Blum, P. Heizmann, R. Hetzer and Z. Boger, Detection and classification of bacterial species in breath of intensive care unit patients using electronic nose combined with artificial neural network modelling. Poster presented at the International Symposium on Olfaction and Electronic Nose, ISOEN’05, Barcelona, Spain, April 2005.
109. Z. Boger, D. C. Meier, J. Evju and S. Semancik, Artificial neural networks based recognition of chemical hazards in mixed backgrounds using temperature-programmed microsensor signals. Proceedings of the International Symposium on Olfaction and Electronic Nose, ISOEN’05, Barcelona, Spain, April 2005, pp. 191-196.
108. Z. Boger, Medical diagnosis by odor, utilizing 'artificial nose' sensor arrays and artificial neural networks, Tutorial presentation at the Biomedical Computing Interest Group, National Institute of Health, Bethesda, MD, October 2004.
Available in http://www.altum.com/bcig/BCIG/Events/Event List
107. G. Shubinsky, S. Baliga, J. Huiysanov, Z. Boger, Flame detection system, US Patent application #10/894570, July 2004. United States Patent 7,202,794, January 10, 2007.
106. D.C. Meier, R.E. Cavicchi, Z. Boger, and S. Semancik, Interference effects on chemical warfare agents detection by MEMS-based microsensor arrays. Proceedings of the10th International Meeting on Chemical Sensors (IMCS-10), Tsukuba, Japan, July 2004. Available in Chemical Sensors, vol. 20, Suppl. B 2004, pp. 308-309.
105. Z. Boger, Artificial neural networks – an easy way to model and understand bio-informatics data. Joint BECON/BISTIC 2004 Symposium on Biomedical Informatics for Clinical Decision Support: A Vision for the 21st Century, National Insitute of Health, Bethesda, MD, June 2004, Abstact book, p. 4.
104. Z. Boger, Artificial neural networks - unlikely but effective tools in analytical chemistry. In Z.A. Alfassi, Z. Boger and Y. Ronen “Statistical Treatment of Analytical Data”, Blackwell Publishing, Oxford, UK, 2005, ISBN 0-632-05367-4, pp.172-262.
103. S. Pérez-Magariño, M. Ortega-Heras, M.L. González-San José and Z. Boger, Comparative study of artificial neural network and multivariate methods to classify Spanish DO rosé wines. Talanta, vol. 61 (5), 2004, pp. 983-990.
102. D.C. Meier, Z. Boger, R.E. Cavicchi, S. Semancik and C.J. Taylor, MEMS gas sensors for chemical warfare agent detection, PITCON 2004, abstract # 23300-500, March 2004.
101. Z. Boger, R.E. Cavicchi, D.C. Meier and S. Semancik, Rapid identification of CW agents by artificial neural networks pruning of temperature programmed microsensor databases. Sensor Letters, vol. 1, 2003, pp. 86-92.
100. S. Semancik , C. Taylor, R. Cavicchi, C. Montgomery and Z. Boger , Temperature-dependent studies of gas sensing materials using MEMS microarrys. Proceedings of the Fall Meeting of the Material Research Society, vol. 803, abstract JJ7.1, Dec. 2003.
99. D.C. Meier, R.E. Cavicchi, Z. Boger and S. Semancik, MEMS chemical sensors for Homeland Security . Abstracts of Papers, American Vaccuum Society Annual Meeting, Philadelphia, Nov. 2003.
98. Z. Boger, R.E. Cavicchi, D.C. Meier, C.B. Montgomery and S. Semancik, Using MEMS microarrays and neural networks to identify preferred surface chemistry in application-specific gas sensing. Abstracts of Papers, American Vaccuum Society Annual Meeting , Philadelphia, Nov. 2003.
97. D. Meier, C.J. Taylor, R.E. Cavicchi, Z. Boger and S. Semancik, Detection of trace chemical warfare agents using MEMS chemical sensors. Abstracts of Papers, 226th ACS National Meeting, New York, September, 2003.
96. Z. Boger, Selection of the quasi-optimal inputs in chemometric modeling by artificial neural network analysis. Analytica Chimica Acta, vol. 490 (1-2), 2003, pp. 31-40.
95. Z. Boger, D. C. Meier, R.E. Cavicchi and S. Semancik, Identification of the type and the relative concentration of chemical warfare agents using NIST conductometric microhotplate sensors. Proceedings of the International Joint Conference on Neural Networks, IJCNN’03, Portland, OR, July 2003, pp. 1065-1070.
94. Z. Boger, ANN models for identification of the most relevant genes from cDNA array gene expression data. Proceedings of the International Joint Conference on Neural Networks, IJCNN’03, Portland, OR, July 2003, pp. 3095-3100.
93. Z. Boger, Finding patients clusters's attributes by auto-associative ANN modeling. Proceedings of the International Joint Conference on Neural Networks, IJCNN’03, Portland, OR, July 2003, pp. 2643-2648.
92. Z. Boger, Drowning in data, thirsting for knowledge: intelligent computing solutions in medicine and health care applications. Tutorial presentation at the Biomedical Computing Interest Group, National Institute of Health, Bethesda, MD, March 2003. Available in http://www.altum.com/bcig/events/tutorials/2003/2003_03.pdf
91. Z. Boger, Identification of the optimal set of expressed genes sufficient for cancer type classification by artificial neural network modeling. A poster presented at the Bioinformatics, Biostatistics, and Computational Biology Faculty Retreat, National Cancer Institute, Gaithersburg, MD, November 2002 (Abstract).
90. Z. Boger, Selection of the optimal inputs in chemometric modeling by artificial neural network analysis. Proceedings of the 8th International Conference of Chemometrics in Analytical Chemistry, CAC-2002, Seattle, September 2002.
89. Z. Boger, R.E. Cavicchi and S. Semancik, Analysis of conductometric micro-sensor responses in a 36-sensor array by artificial neural networks modeling. D’Amico and Di Natale, Eds., Proceedings of the 9th International Symposium on Olfaction and Electronic Nose, ISOEN’02, Rome, 2002, Aracne Editrice S.r.l., Rome 2003, pp. 135-140. Also available on http://preprint.chemweb.com/analchem/0211001
88. Z. Boger, S. Semancik and R.E. Cavicchi, Artificial neural networks methods for identification of the most relevant inputs from conductometric microhotplate sensors. Proceedings of the 9th International Meeting on Chemical Sensors, IMCS’9, Boston, July 2002, pp. 190-191.
87. Z. Boger, Who is afraid of the BIG bad ANN? Proceedimngs of the International Joint Conference on Neural Networks, IJCNN’02, Honolulu, Hawaii, May 2002, pp. 2000-2005.
86. Z. Boger, Hidden neurons as classifiers in artificial neural networks models, Proceedings of the 5th Conference on Artificial Neural Networks and Expert Systems, ANNES'01, Dunedin, New-Zealand, 2001, pp. 4-7.
84. Z. Boger, Artificial neural networks modeling as a diagnostic and decision making tool. D. Ruan and P.F. Fantoni (eds.), “Power Plant Surveillance and Diagnostics, Modern Approaches and Advanced Applications”, Physica-Verlag, 2002, Chapter 16, pp. 243-252.
83. Z. Boger, Artificial neural networks modeling as an industrial plant fault diagnostic tool. In R. Roy et al., eds. “Soft Computing in Industry - Recent Applications”, Springer, 2003, pp.805-814.
82. Z. Boger, Artificial neural networks models in the chemical industry, doubts and prospects. Proceedings of the Annual meeting of the Israeli Institute of Chemical Engineering, Haifa, Israel, April 2001 (Abstract).
81. Z. Boger, T. Kuflik, P. Shoval and B. Shapira, Automatic keyword identification by artificial neural networks compared to manual identification by users of filtering Systems. Information Processing & Management, vol. 37(2), 2001, pp. 187-198.
80. Z. Boger, Artificial neural network models for fault detection in processes and equipment. Proceedings of the Annual meeting of the Israeli Institute of Chemical Engineering, Be’er Sheva, Israel, June 2000 (Abstract).
79. E. Benfenati, G. Battaini; Z. Boger, G. Gini, Use of different artificial neural networks for toxicity prediction of chemicals. Proceedings of the Second Indo-US Workshop on Mathematical Chemistry, With Applications to Drug Discovery, Environmental Toxicology, Cheminformatics and Bioinformatics, Duluth, Minnesota, May 2000 (Abstract).
78. Z. Boger, Applications of artificial neural networks in process control and electrical power generation systems. Proceedings of the Symposium on Methods of Artificial Intelligence in Energetics, I & C Energo, Prague, Czech Republic, May 2000 (Abstract).
76. Z. Boger, Artificial neural networks modeling as a diagnostic and decision making tool. Proceedings of the American Nuclear Society Topical Meeting on Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies, November 2000, Washington, D.C.
75. Z. Boger and R. Weber, Finding an optimal artificial neural network topology in real-life modeling - two approaches. Proceedings of the Neural Computation 2000 NC’2000 Conference, paper # 1403-109, Berlin, Germany, May 2000.
74. Z. Boger, Rule extraction for health care decision making from artificial neural networks models. Proceedings of the Neural Computation 2000 Conference, NC’2000, paper # 1403-178, Berlin, Germany, May 2000 (Abstract).
73. Z. Boger, Z. Kuflik, B. Shapira and P. Shoval, Information filtering and automatic keyword identification by artificial neural networks. Proceedings of the ECIS’2000 Conference, Vienna, Austria, June 2000.
72. Z. Boger, The potential of large-scale artificial neural networks in distillation processes operation. Proceedings of the International conference on the Engineering Applications of Neural Networks EANN’99, Warsaw, Poland, Sep. 1999, pp. 117-122.
71. Z. Boger, Artificial neural networks for predicting gas chromatograph retention index. Proceedings of the Annual meeting of the Israeli Institute of Chemical Engineering, Haifa, Israel, Mar. 1999, p. 47 (Abstract).
70. Z. Boger, Y. Nahmani, Z. Karpas, A. Lorber, Comparison of the quantitative XRF determination of the Chlorine content of compounds by principal component analysis and artificial neural networks techniques. Proceedings of the 2nd Conference on Analytical Chemistry, Tel-Aviv, Israel, January 1999 (Abstract).
69. T. J. Mc Avoy, J. Anderson, O. J. Hao, Z. Boger and H. Kim, Optimization and control of alternating aerobic/anoxic activated sludge operation. Proceedings of the 14th Triennial IFAC World Congress, Beijing, P.R. China, 1998, pp. 289-294.
68. Z. Boger, Implementing artificial neural networks in nuclear power plants diagnostic systems: Issues and challenges. Proceedings of the IAEA Technical Committee Meeting on Diagnostic Systems in Nuclear Power Plants, Istanbul, Turkey, June 1998, IAEA-IWG-NPPCI--98/2, pp. 149-160.
67. Z. Boger, Modeling distillation processes and installations by artificial neural networks. Proceedings of the annual meeting of the Israeli Institute of Chemical Engineering, Haifa, Israel, Mar. 1998. (Abstract in Hebrew).
66. Z. Boger and H. Guterman, Knowledge extraction from artificial neural networks models. Proceedings of the IEEE International Conference on Systems Man and Cybernetics, SMC'97, Orlando, Florida, Oct. 1997, pp. 3030-3035.
65. Z. Boger, Experience in industrial plant model development using large-scale artificial neural networks. Information Sciences - Applications, vol. 101(3:4), 1997, pp. 203-212.
64. Z. Boger, Enhanced capabilities of artificial neural networks for predicting molecular activity. Proceedings of the Third Electronic Computational Chemistry Conference, ECCC-3. Nov. 1996.
63. Z. Boger, L. Ratton, T. A. Kunt, T. J. Mc Avoy, R. E. Cavicchi and S. Semancik, Robust classification of "Artificial Nose" sensor data by artificial neural networks. Proceedings of the IFAC ADCHEM '97 Conference, Banff, Canada, June 1997, pp. 334-338.
62. A. Talaie, J. A. Romagnoli, Z. Boger, S. B. Adelejou, Y. J. Yuan and Ji-Y. Lee: Artificial neural networks and chemical sensors: A novel investigation of conducting polymer-based biosensors. Proceedings of the Chemeca Conference, Sydney, NSW, Australia, 1996.
61. A. Talaie, Z. Boger, J. A. Romagnoli, S. B. Adelejou and Y.J. Yuan, Data acquisition, signal processing and modeling: A study of conducting polypyrrole formate biosensor. Part 1: Batch experiment. Synthetic Metals, vol. 83, 1996, pp. 21-26.
60. Z. Boger, A. A. Safavi, S. Norquay and J. A. Romagnoli, Artificial neural networks in distillation process modeling. Proceedings of the AIChE annual meeting, Chicago 1996.
59. Z. Boger, H. Guterman and T. Segal, Application of large-scale artificial neural networks for modeling the response of a naphtha stabilizer distillation train. Proceedings of the AIChE annual meeting, Chicago 1996.
58. D. Berger, M. V. Landau, M. Hershkovitz and Z. Boger, Deep hydrodesulfurization of atmospheric gas oil. Effects of operating conditions and modeling by artificial neural network techniques. Fuel, vol. 75(7), 1996, pp. 907-911.
57. Z. Boger, Experience in developing models of industrial plants by large-scale artificial neural networks. Proceedings of the 2nd New Zealand International Two Stream Conference on Artificial Neural Networks and Expert Systems, ANNES'95, Dunedin, New Zealand, Nov. 1995, pp. 326-329.
56. Z. Boger, Experience in developing and analyzing models of industrial plants by large-scale artificial neural networks. Proceedings of the International Conference on Artificial Neural Networks, ICANN'95, Paris, Oct. 1995, Session A6.
55. Z. Boger, A. Lorber and R. Barak, Automatic identification of chemical warfare agents in GC/MS spectra. Rotem Industry Ltd. Technical Report. Organization for the Prevention of Chemical Warfare, The Hague, 1995. (Available on the Internet http://www.opcw.nl as an Annex to Document PC-XI/B/WP.12).
54. Z. Boger, Applications of artificial neural networks in bio-technology and drug development. Proceedings of the annual meeting of the Israeli Institute of Chemical Engineering, Haifa, Israel, Apr. 1995. (In Hebrew).
53. Z. Boger, Modeling of process industry plants by artificial neural networks. Proceedings of the International Symposium on Artificial Intelligence and Expert Systems in Process Industry, Kharagpur, India, Dec. 1994, pp. 148-164.
52. Z. Boger, Trends in the applications of artificial neural networks in the nuclear industry. Proceedings of the annual meeting of the Israeli Nuclear Societies, Tel-Aviv, Israel, Nov. 1994. (Abstract in Hebrew).
51. Z. Boger, D. Berger, M. V. Landau, and M. Hershkovitz, Analysis of complex catalytic systems by artificial neural networks. Proceedings of the annual meeting of the Israeli Institute of Chemical Engineering, Be'er-Sheva, Israel, Mar. 1994. (Abstract in Hebrew).
50. Z. Boger and M. Ben-Haim, Artificial neural networks for developing a "Virtual Instrument". Proceedings of the annual meeting of the Israeli Institute of Chemical Engineering, Be'er-Sheva, Israel, Mar. 1994. (Abstract in Hebrew).
49. Z. Boger, Applications of artificial neural networks in process control systems. II. Process modeling and knowledge extraction. Instrumentation and Control, vol. 19, 1994, p. 5. (In Hebrew).
48. Z. Boger, Applications of artificial neural networks in process control systems. I. Reliability augmentation and diagnostics in instrumentation. Instrumentation and Control, vol. 16, 1994, pp. 10-11. (In Hebrew).
47. A. Keter and Z. Boger, Application of artificial neural networks in estimation of probable accident causes in nuclear power plants. in "Current practices and future trends in expert system developments in use in the nuclear industry." IAEA-TECDOC-769, International Atomic Energy Agency, Vienna 1994, pp. 103-112.
46. Z. Boger, The status of artificial neural networks applications in the nuclear industry. in "Current practices and future trends in expert system developments in use in the nuclear industry." IAEA-TECDOC-769, International Atomic Energy Agency, Vienna 1994, pp. 33-46.
45. Z. Boger and Z. Karpas, Application of neural networks for interpretation of ion mobility and X-ray fluorescence spectra. Analytica Chimica Acta, 292, 1994, pp. 243-251.
44. Z. Boger and Z. Karpas, Use of neural networks for quantitative ion mobility spectrometric measurements. Journal of Chemical Information and Computer Science, 34, 1994, pp. 576-580.
43. Z. Boger, Application of artificial neural networks in the chemical plant. Chemistry and Chemical Engineering, vol. 16, Dec. 1993, pp. 26-29. (In Hebrew).
42. Z. Boger, Application of artificial neural networks in batch reaction processes. Israeli Chemical Engineering, No. 22, Apr. 1993, pp. 114-116. (In Hebrew).
41. M. Ben-Haim, Z. Boger, M. Tidhar and M. Mareli, Meta-modeling of a distillation isotope separation cascade with neural networks. Proceedings of the Summer Computer Simulation Conference, Boston, July 1993. Summary in IAEC Research Laboratories annual report 1993, IA-1521, pp. 200-201.
40. Z. Boger, The role of neural networks in nuclear power plant safety systems. in "The Potential of Knowledge Based Systems in Nuclear Installations". IAEA-TECDOC-700, International Atomic Energy Agency, Vienna 1993, IAEA-TECDOC—700, pp. 63-75. also as IAEC technical report NRCN(TN)-145, Dec. 1993.
39. Z. Boger, Large-scale neural networks - possible applications in nuclear power plants. Proceedings of the ANS Topical Meeting on Nuclear Plant Instrumentation, Control and Man-Machine Interface Technologies, Oak Ridge, Tennessee, Apr. 1993, pp. 624-631. Summary in IAEC Research Laboratories annual report 1993, IA-1521, pp. 199-200.
38. Z. Boger, Applications of neural networks in process control. Proceedings of the Workshop on Neural Networks in Control, Israeli Association of Automatic Control, Herzelia, Israel, Jan. 1993 (Abstract).
37. Z. Boger, Artificial neural networks for quantitative stationary spectroscopic measurements. Proceedings of the 10th Israeli Conference on Artificial Intelligence, Computer Vision and Neural Networks, AICVNN-93, Ramat-Gan, Israel, Dec. 1993. pp. 185-194.
36. Z. Boger, Possible roles of neural networks in developing expert systems in the nuclear industry. in "Expert Systems in the Nuclear Industry". IAEA-TECDOC-660, International Atomic Energy Agency, Vienna 1992, pp. 147-161. Also as IAEC technical report NRCN(TN)-144, Dec. 1993.
35. Z. Boger and M. Ben-Haim: Application of neural networks techniques in solvent extraction: Modeling, knowledge acquisition and dynamic prediction. in D. H. Logsdail and M.J. Slater (eds.): "Solvent Extraction in the Process Industry", Elsevier Applied Science, vol. 2, pp. 1198-1205, 1993. Summary in IAEC Research Laboratories annual report 1992, IA-1504, pp. 202-203.
34. Z. Boger, Y. Argaman, D. Farchile, M. Goldstein, B. Kravitz, O. Gucci, Knowledge acquisition in wastewater treatment plants. Proceedings of the Israeli-German seminar on Joint Water and Wastewater Research Program, Karlsruhe, Germany, Oct. 1992, paper no. 4.
33. M. Ben-Haim and Z. Boger, Neural network as a virtual sensor for predicting the dynamic behavior of a solvent extraction process. Proceedings of the Summer Computer Simulation Conference, Reno, July 1992. Summary in IAEC Research Laboratories annual report 1992, IA-1504, p. 202.
32. Z. Karpas and Z. Boger, Ion mobility spectrometry interpretation by neural network. Proceedings of the 1992 Workshop on Ion Mobility Spectrometry, Las Crusas, NM, pp. 35-40. Summary in IAEC Research Laboratories annual report 1992, IA-1504, p. 132.
31. M. Ben-Haim and Z. Boger, Modeling the dynamic characteristics of the Zirconium-Hafnium solvent extraction system via neural networks. Summary in IAEC Research Laboratories annual report 1992, IA-1504, pp. 201.
30. Z. Boger and M. Ben-Haim, Recent advances and future directions of neural networks application in nuclear power plants. Proceedings of the annual meeting of the Israeli Nuclear Societies, Be'er Sheva, Israel, May 1992, INIS-mf—13334, pp. 55-58.
29. M. Ben-Haim and Z. Boger, Application of neural networks for process knowledge acquisition. Proceedings of the annual meeting of the Israeli Institute of Chemical Engineering, Haifa, Israel, Apr. 1992. (Abstract in Hebrew).
28. Z. Boger, Application of neural networks to water and wastewater treatment plant operation. Instrument Society of America Transactions, vol. 31(1), 1992, pp. 25-33,
27. M. Ben-Haim, M. Tidhar and Z. Boger, Simulation of recovery procedures of an isotope separation distillation plant. Proceedings of the Summer Computer Simulation Conference, 1991, pp. 1050-1055. (Summary in IAEC Research Laboratories annual report 1991, IA-1471, pp. 181-182).
26. Z. Boger and M. Ben-Haim, The application of neural networks techniques to knowledge acquisition. Summary in IAEC Research Laboratories annual report 1991, IA-1471, pp. 181-182.
25. Z. Boger and M. Ben-Haim, Neural networks techniques in intelligent sensor development. Summary in IAEC Research Laboratories 1991 annual report, IA-1471, p. 180.
24. Z. Boger, Applications of neural networks in process control. Israeli Chemical Engineering, No. 20, Aug. 1991, pp. 6-9. (In Hebrew).
23. Z. Boger, Application of neural networks techniques to fault analysis. Proceedings of the annual meeting of the Israeli Nuclear Societies, Herzelia, Israel, Dec. 1990, INIS-mf—13212, p. 217. Summary in IAEC Research Laboratories 1990 annual report, IA-1460, p. 214.
22. Z. Boger, Lessons learned from the design and operation of a distributed process control and data processing system in an industrial plant. Israeli Chemical Engineering, 1990, pp. 11-14. (In Hebrew).
21. Z. Boger and H. Guterman, Knowledge representation of wastewater treatment plant operating history and current state. In R. Briggs, Ed. "Instrumentation, Control and Automation of Water and Wastewater Treatment and Transport Systems". Pregamon Press, 1990, pp. 235-241.
20. Z. Boger, Survey of INIS database concerning expert systems in nuclear power plants. "Use of expert systems in nuclear safety", IAEA-TECDOC-542, Vienna 1990, pp. 97-98, 245-344.
19. Z. Boger, Expert systems in nuclear power plants - how soon can they be implemented? "Use of expert systems in nuclear safety", IAEA-TECDOC-542, Vienna 1990, pp. 165-176.
18. Z. Boger, Application of expert system techniques in nuclear power plants. Brief review of current status and future prospects. Proceedings of the Nuclear Societies of Israel annual meeting. Beer-Sheva, Israel, March 1989, INIS-mf—11503, p. 86.
17. M. Ben-Haim, D. Peled and Z. Boger, Process plant fault diagnosis by expert system techniques. Summary in IAEC Research Laboratories 1985 annual report, IA-1421, p. 202.
16. M. Mareli, Y. Mittelman and Z. Boger, A low-cost remote supervision system. Summary in IAEC Research Laboratories 1984 annual report, IA-1416, p. 82.
15. Z. Boger, E. Simovici and D. Farchile, The design of a distributed process control system for a municipal wastewater treatment plant. Proceedings of the annual meeting of the Israeli Institute of Chemical Engineering, Be'er-Sheva, Israel, Apr. 1984. (Abstract in Hebrew).
14. Z. Boger, H. Cikurel, S. Trigerman and I. Hodara, Purification of low-level radioactive effluents by membrane-based processes. Summary in IAEC Research Laboratories 1983 annual report, IA-1404, p. 156.
13. Z. Boger, Applications of personal computers in chemical engineering and industry. Proceedings of the annual meeting of the Israeli Institute of Chemical Engineering, Haifa, Israel, Mar. 1983, (Abstract in Hebrew).
12. Z. Boger, Radioactive waste disposal options for the operation of nuclear power stations and possible fuel cycle facilities in Israel. Proceedings of the annual meeting of the Israeli Nuclear Societies, Haifa, Israel, Feb. 1982, INIS-mf—7498, pp. 6.36-6.37.
11. Z. Boger, "Simuchin" - Storage and classification of engineering journal papers by microcomputer. Proceedings of Symposium on Information Systems in the Chemical Industry, The Engineers Federation, Tel-Aviv, Israel, Nov. 1981. (In Hebrew).
10. Z. Boger, Developments in computerized process control systems. Proceedings of Symposium on Control and Automation in the Israeli Chemical Industry, The Israeli Architects and Engineers Association, Tel-Aviv, Israel, Jan. 1980 (Abstract in Hebrew).
9. Z. Boger, Energy saving by vapor compression. Proceedings of the annual meeting of the Israeli Institute of Chemical Engineering, Be'er-Sheva, Israel, Apr. 1977. (Abstract in Hebrew).
8. Z. Boger, On the economics of the light-water hybrid reactor fuel cycle. Proceedings of the annual meeting of the Israeli Nuclear Societies, Be'er-Sheva, Israel, Dec. 1976, INIS-mf—3663, pp. 65-68.
7. Z. Boger, J. Merchuk and D. Wolf, Static mixer in two-phase system. Proceedings of the annual meeting of the Israeli Institute of Chemical Engineering, Haifa, Israel, Apr. 1976. (Abstract in Hebrew).
6. Z. Boger, Experience in using digital computer in teaching process control. Proceedings of the annual meeting of the Israeli Institute of Chemical Engineering, Haifa, Israel, Apr. 1976 (Abstract in Hebrew).
5. Z. Ketzinel, Z. Boger, H. Cikurel, D. Vofsi, J. Jagur-Grodzinski, and S. Gassner, Continuous dialytic decontamination of dissolved fuel elements by solvent-polymeric membranes. Industrial and Engineering Chemistry, Process Design and Development, vol. 15, no. 4, 1976, pp. 524-529.
4. Z. Ketzinel, Z. Boger, H. Cikurel, D. Vofsi, J. Jagur-Grodzinski, and S. Gassner, Continuous dialytic decontamination of dissolved fuel elements by solvent-polymeric membranes. Proceedings of the 24th International Symposium on Macromolecules, Jerusalem, Israel, 1975, pp. 275-276.
3. Z. Ketzinel, Z. Boger and H. Cikurel, Solvent membrane separation. Summary in IAEC Research Laboratories 1973-1974 bi-annual report, IA-1308, pp. 145-146.
2. Z. Ketzinel and Z. Boger, Solvent membrane separation. Summary in IAEC Research Laboratories 1971 annual report, IA-1962, pp. 105-106.
Technion - Institute of Technology, Faculty of Chemical Engineering, 1971. (In Hebrew). Also as IAEC report NRCN-300, 1972.
Advising PhD and MSc Thesa
D. Stopel, Detecting malicious code activity based on computer behavior using artificial neural networks. MSc. Thesis, Deparment of Information Systems Engineering, Ben-Gurion University, 2008.
T. Kuflik, Methods for definition of content-based and rule-based user profiles in information filtering systems. PhD Thesis, Deparment of Information Systems Engineering, Ben-Gurion University, 2003.
B. Kravitz, Develoment of expert rules for wastewater treatment plant, MSc Thesis, Faculty of Civil Engineering, Technion – Israel Institute of Technology, 1995.
Y. Vardi, The Dan Region wastewater treatment plant – Examination of the relation between the energy cost and the quality of the purified effluent. MSc Thesis, Department of Economics, Ben Gurion University, 1994.