| Name: ROBERT KOZMA | Department:MATHEMATICAL SCIENCES |
| DEGREES | DISCIPLINE | INSTITUTION | YEAR |
|---|---|---|---|
| Ph.D. | Applied Physics | Delft University of Technology, The Netherlands | 1992 |
| M.Sc. | Appl. Mathematics | Eotvos University, Budapest, Hungary | 1988 |
| M.Sc. | Power Engineering | Moscow Energy University, Moscow, Ex-USSR | 1982 |
| RANK/POSITION | DEPARTMENT/DIVISION | INSTITUTION/COMPANY/ORGANIZATION | PERIOD |
|---|---|---|---|
| Professor | Dept. Mathematical Sciences | U of Memphis | 2008 - Present |
| Professor | Dept. Computer Science | University of Memphis | 2005 - 2008 |
| Professor | Dept. Mathematical Sciences, Division Computer Science | University of Memphis | 2003-2005 |
| Associate Professor | Dept. Mathematical Sciences, Division Computer Science | University of Memphis, TN | 2000-2003 |
| Visiting Professor | NASA Jet Propulsion Laboratory | California Institute of Technology, Pasadena, CA | May-September, 2005 |
| Consultant | Adaptive Systems Group | Sarnoff Corporation, Princeton, NJ | October-December, 2005 |
| Visiting Professor | Lawrence Berkeley Laboratory LBL | University of California at Berkeley, CA | Jan-May 2006 |
| NRC Senior Fellow | Sensory Directorate | US Air Force Research Laboratory, Hanscom Air Force Base, MA | Summer 2006, 2007, 2008 |
| Associate Researcher | Division Computer Science, Department of EECS; and Division of Neuroscience | UC Berkeley, Berkeley, CA | 1998-2000 |
| Lecturer (=Asst. Professor) | Div. Computer & Information Science, Dept. Information Sci | University of Otago, Dunedin, New Zealand | 1996-1998 |
| Associate Professor | Department of Quantum Science and Engineering | Tohoku University, Sendai, Japan | 1993-1996 |
| Visiting Researcher | School of Engineering | Tohoku University, Sendai, Japan | May-Sept. 1993 |
| Research Fellow | Department of Reactor Physics | Delft University of Technology, Delft, The Netherlands | 1988-1993 |
| Visiting Researcher Research Fellow | Department of Reactor Physics Central Research Institute for Physics | Delft University of Technology, Delft, The Netherlands Hungarian | May-Nov. 1986 1987-1988 |
| Research Assistant | Central Research Institute for Physics | Hungarian Academy of Sciences, Budapest, Hungary | 1982-1986 |
| HONOR/AWARD | INSTITUTION/COMPANY/ORGANIZATION | YEAR |
|---|---|---|
| Fellow | IEEE | 2013 |
| Fellow | International Neural Network Society (INNS) | 2013 |
| First Tennessee University Professor | U of Memphis | 2012-2015 |
| Gabor Award | International Neural Network Society | 2012 |
| University of Memphis Alumni Association Award for Distinguished Research Achievement | U of Memphis | 2010 |
| Dunavant University Professor | U of memphis, College of Arts and Sciences | 2008-2011 |
| CASDRA Distingushed Research Award | CAS, U of Memphis | 2009 |
| Governor, Board of Governors | International Neural Network Society INNS | 2007-2009, 2010-2012 |
| NRC Senior Research Fellow Award | National Academies of Science and Engineering, National Research Council | 2006, 2007, 2008 |
| Patron of the Year Award, Finalist | Air Force Research Laboratory, Sensory Directorate AFRL/RY | 2007 |
| Best Paper Award, Runner Up (with T Huntsberger, H Aghazarian, NASA, WJ Freeman UC Berkeley) | IEEE/RSJ Int. Conf. Intelligent Robots & Systems IROS07, November 2007, San Diego | 2007 |
| Best Paper Award (jointly with A.Buczak, Sarnoff, Princeton, NJ) | International Conference on Data Mining, DMIN06, June 2006, Las Vegas | 2006 |
| Chair of University Curriculum Committee | IEEE Computational Intelligence Society | 2012-2013 |
| Chair of Distinguished Researcher Program | IEEE Computational Intelligence Society | 2010-2011 |
| SIGCOM Chair | International Neural Network Society, Special Interest Groups | 2005-2008 |
| Technical Committee on Neural Networks, Member TCNN | IEEE Computational Intelligence Society | 1996-2008 |
| Senior Member | Institute of Electrical and Electronic Engineers (IEEE) | since 1998 |
| MTA-SOROS Fellowship Award | MTA-SOROS Foundation, New York | 1986, 1988 |
| Higher Education Award (summa cum laude) | Department of Education, Budapest, Hungary | 1993 |
| Honors Diploma with Distinction('red’) | Moscow Energy University, Russia | 1982 |
| 1st Prize for Best Graduate Student Thesis | National Conference of Student Research (OTDK) Hungary | 1982 |
| SUBJECT | INSTITUTION |
|---|---|
| Measurements and Instrumentation (U) | Tohoku University, Sendai, Japan Dept. Quantum Science and Engineering |
| Soft Computing Methods in Engineering (G) Intelligent Information Systems (U) Neural Networks and Fuzzy Systems (G) | Tohoku University, Sendai, Japan Graduate School of Engineering University of |
| Introduction to Algorithms (U/G) | University of Memphis, TN Division of Computer Science |
| Advanced Algorithms (G) | University of Memphis, TN Division of Computer Science |
| Topics in Algorithms (G) | University of Memphis, TN Division of Computer Science |
| Cognitive Science Seminar (G) | University of Memphis, TN Dept. of Psychology cross-listed with Division of Computer Science |
| Advanced Data Structures (U) | University of Memphis, TN, Dept. Computer Science |
| Neural Networks (G) | University of Memphis, TN Dept of Computer Science and Electrical and Computer Engineering (cross-listed) |
| Computational Intelligence (G) | University of Memphis, TN Dept of Computer Science (new course first taught Fall 2001) |
| Soft Computing (U/G) | University of Memphis, TN Dept. of Computer Science |
| Computational Neurodynamics (G) | University of Memphis, TN Dept of Computer Science |
| Reproducing Kernel Hilbert Spaces (G) | University of Memphis, Dept Mathematical Sciences |
| Mathematical Learning Theory (G) | University of Memphis, Dept Mathematical Sciences |
| Stochastic Optimization & Adaptive Dynamic Programming (G) | University of Memphis, Dept Mathematical Sciences (cross-listed with ECE) |
| Intelligent Prediction (G) | University of Memphis, Dept. Mathematical Sciences |
| Calculus II & III | University of Memphis |
| CURRENT DEGREE | NAME | YEAR OF GRADUATION |
|---|---|---|
| Postdoctoral | Yusuke Uchiyama, Sanqing Hu | 2015, 2014 |
| Postdoctoral | Giovanni Pazienza, Joao L. Rosa | 2011-2012, 2013-2014 |
| PhD | Yury Sokolov, Rodrigo Silva | 2016, 2015 |
| PhD | Sergi Consul, Jajanta K Dutta | 2015, 2017 |
| PhD | Mark H Myers | 2011 |
| PhD (Committee) | A. Warlamount (Speech Pathology), A. Davis, R. Mezei | 2012, 2012, 2011 |
| Undergraduate | L. Scaife J. Lester J. Bond J. Cohen D. Wills V. Calhoun AM Alayssh M Yadron J FritschM. Wahl J Roberts J Garrett K Fike | 2004 2004 2004 2004 2005 2005 2007 2008 2008 2009 |
| Masters | G. Oliver D. Wong M. Myers B. Chakravarty T. Wilburn 2. Chennuru P. Kadvia Y. Xian B.K. Doddala J Rodriguez A Aluri C. Goodwin (comm: El Engng) Hima Puppala Jaisantosh Ankishetty | 2004 2004 2005 2005 2005 2006 2007 2007 2008 2009 |
| Doctoral | S. Roy (committee, Economics) D Harter M. Puljic B. Montagh (committee, Math) C Molter (committee, VUB Belgium) A. Hart-Murdock (committee, Math) H. Azhar (committee, Engng), R. Ilin, Q.S.Liu (committee, Chinese U Hong Kong) M. Myers, D. Wong | 2004 2004 2005 2005 2005 2006 2006 2008 2008 2009 |
| Postdoctoral | A. Lendasse M. Walters D. Harter H. Voicu A. Sarkar K. Majumdar (Fulbright) M. Demirer | 2003 2004 2004 2005 2006 2008 |
| ACTIVITY | DATES | LOCATION | SPONSORSHIP |
|---|---|---|---|
| US Patent 8,195,580: "Methods of detection of propagating phase gradients using model field theory of non-gaussian mixtures" | Awarded in 2012 | US Patent Office | UoM & AFRL |
| Patent 20-13024-1765: “Integrated wireless radar system for surveillance and tracking of moving targets,” | Filed 2012 | US Pantent Office | UoM & AFRL |
Cognition as a transient neuropercolation process – A complex systems perspective (with W.J. Freeman), Springer Verlag, Heidelberg, 2015. ISBN 978-3-319-24404-4
"Advances in Neuromorphic Memristor Science adn Applications," R. Kozma, R. Pino, G. Pazienza (eds), Springer Verlag, ISBN 978-94-007-4490-5, 2012.
“Handbook of Large-Scale Random Networks,” B. Bollobas, R. Kozma, D. Miklos (Eds) Bolyai Society Mathematical Studies, Springer Verlag, New York, 2009, ISBN: 978-3-540-69394-9.
“Neural Networks. 2009. Proceedings of International Joint Conference on Neural Networks IJCNN2009,” Kozma, R., S. Bressler, L. Perlovsky, K. Venayagamoorthy (Eds) ISBN 978-1-4244-3548-7, pp. 1-3541, IEEE Press, Piscataway, NJ (2009).
“Neurodynamics and Higher-Level Cognition and Consciousness,” R. Kozma, L. Perlovsky (Eds), in the Series: Understanding Complexity, Springer Verlag, Heidelberg, Germany ISBN 978-3-540-73266-2 (2007).
Neuro-Fuzzy Techniques for Intelligent Information Processing,’ Kasabov, N., Kozma R., (Eds) (1999) ‘in Series: Studies in Fuzziness and Soft Computing, 480 p., ISBN-3-7908-1187-4, Springer Verlag, Heidelberg.
Progress in Connectionist-based Information Systems, Kasabov, N., Kozma, R., Ko, K., O’Shea, R., Coghill, G., Gedeon, T., (Eds) (1997) Vol. 1-2, pp.1355, Springer Verlag.
Noise Investigations on Boiling Effects in a Simulated MTR-Type Fuel Assembly, R. Kozma, Delft University Press, ISBN-90-73861-04-7, 1992.
CHAPTER: Kozma, R., J. Wang, Z. Zeng (2015) “Neurodynamics,” in: “Springer Handbook of Computational Intelligence,” J. Kacpzyk, W. Pedrycz (Eds.), D(33), pp. 607-648.
CHAPTER: Thermodynamic Model of Criticality in the Cortex based on EEG/ECoG data (with M. Puljic, W.J. Freeman), in “Criticality in Neural Systems,” D. Plenz (Ed.), (2014), 153-176, John Wiley & Sons.
CHAPTER: "Geometric Synchronization by Multi-pendulum and Electronic Models of Neurodynamics" (with G. Resconi), in: Springer Series in Computational Intelligence, 577 (2014), 247-261.
CHAPTER: Siegelman, H., R. Kozma (2014) “Associative Learning,” in UNESCO Encyclopedia of Life Support Systems (EOLSS), Vol. “Computational Intelligence,” Ed. H. Ishibuchi, UNESCO EOLSS Press, New York, 2014.
CHAPTER: Kozma, R. "Neuropercolation and Neural Population Models," in: Encyclopedia of Computational Neuroscience, R. Jung and D. Jaeger (Eds.), (2014), Springer Verlag, New York, DOI 10.1007/978-1-4614-7320-6-71-1.
CHAPTER: Kozma, R. Neural Mass Action, in Encyclopedia of Computational Neuroscience}, R. Jung & D. Jaeger (Eds.), (2014), Springer Verlag, New York, 10.1007/978-1-4614-7320-6-68-3.
CHAPTER: Synchrony, Oscillations, and Chaos in Neural Networks (with J. Wang), in: “Handbook of Computational Intelligence,” J. Kaczprzyk, W. Pedrycz (Eds), Springer (2015, in press).
CHAPTER: Kozma, R., R. Pino, G. Pazienza (2012) “Are Memristors the Future of AI? – Review of Recent Progress and Future Perspectives,” in “Advances in Neuromorphic Memristor Science and Applications,” Kozma, R., R. Pino, and G. Pazienza (Eds), Springer Verlag, Heidelberg, Germany (June, 2012).
CHAPTER W.J. Freeman, R. Kozma, with app: B. Bollobas, O. Riordan (2008) “Scale-free Cortical Planar Graphs,” “ Handbook of Large-Scale Random Networks,” B. Bollobas, R. Kozma, D. Miklos (Eds) Bolyai-Springer Series on Advanced Combinatorics, Springer Verlag, New York, 2008.
CHAPTER: Kozma, R. “Neurodynamics of Intentional behavior Generation,” In: Neurodynamics and Higher-Level Cognition and Consciousness, R. Kozma, L. Perlovsky (Eds), in Series: Understanding Complexity, Springer Verlag, Heidelberg, Germany, pp. 129-159 (2007).
CHAPTER: Kozma R. (2007) Neuropercolation. Scholarpedia, 2(8):1360
CHAPTER: Huntsberger, T., Tunstel, E., Kozma, R. (2006) “Onboard learning strategies for planetary surface rovers,” Chapter 20 in: Intelligence for Space Robotics, A. Howard, E. Tunstel (eds). TCI Press, San Antonio, TX, pp. 403-422.
CHAPTER: Kelemen, A., Liang, Y., Kozma, R., Franklin, S. (2002) "Optimizing intelligent Agents’ Constraint Satisfaction with Neural Networks," In: Innovations in Intelligent Systems (A. Abraham & B. Nath, Eds.), Springer Series "Studies in Fuzziness and Soft computing," Springer Verlag, Heidelberg, Germany, pp. 255-272.
CHAPTER: Kozma, R., Kasabov, N. (1999) "Generic neuro-fuzzy-chaos methodologies and techniques for intelligent time-series analysis," in: Ribeiro, R., Yager, R., Zimmermann, H-J., Kacprzyk, J. (eds) Soft Computing in Financial Engineering, Physica-Verlag / Springer, Heidelberg, ISBN 3-7908-1173-4, pp. 125-141.
CHAPTER: Kasabov, N., Kozma, R et al. (1999) "Hybrid connectionist-based methods and systems for speech data analysis and phoneme-based speech recognition," In: Neuro-Fuzzy Techniques for Intelligent Information Processing, N. Kasabov and R.Kozma, eds., Physica Springer Verlag, Heidelberg, pp. 241-263.
CHAPTER: Kasabov, N., and R. Kozma, (1998) "Multi-scale analysis of time series based on a neuro-fuzzy-chaos methodology applied to financial data," in A. Refenes, A.N. Burgess, J.E. Moody (eds), Decision Technologies for Computational Finance, Kluwer Academic, ISBN 0-7923-8308-7.
CHAPTER: Kozma, R., Kasabov, N. (1997) "Chaos and Fractal Analysis of Irregular Time Series Embedded into a Connectionist Structure," in: S-I. Amari, N. Kasabov (eds) Brain-like Computing and Intelligent Information Systems, Springer Verlag, pp. 213-237.
CHAPTER: Kasabov, N., Kozma, R. (1997) "Neuro-fuzzy-chaos engineering for building intelligent adaptive information systems," in: Da Ruan (ed), Intelligent Systems: Fuzzy Logic, Neural Networks and Genetic Algorithms, Kluwer Acad. Publ., pp. 209-230.
Davis, J.J., G. Gillett, R. Kozma (2015) “Revisiting Brentano on Consciousness: A striking correlation with ECoG findings about the Action-Perception Cycle and the Emergence of Knowledge and Meaning,” Mind and Matter, Vol. 13(1), pp. 45-69.
Sokolov, Y., Kozma, R., Werbos, L. D., & Werbos, P. J. (2015) “Complete stability analysis of a heuristic ADP control design,” Automatica, 59, pp. 9-18.
Freeman, W.J., Capolupo, A., Kozma, R., Campo, A.O., Vitiello, G (2015) “Bessel functions in mass action modeling of memories and remembrances,” Phys. Lett. A, 379, 2198–2208.
Kozma, R., Puljic, M. (2015) Random graph theory and neuropercolation for modeling brain oscillations at criticality. Current Opinion in Neurobiology, 31, 181-188.
Kozma, R., Hu, S.Q. (2015) Stochastic causality, criticality, and non-locality in brain networks, Phys. of Life Rev., 15, pp. 133-135.
Chakraborty, G., Kozma, R., Murata, T., Zhao, Q. (2015) “Awareness in the brain, society, and beyond,” IEEE Trans. Systems, Man, & Cybernetics, 1(3), pp. 8-16.
Kozma, R. & M. Puljic (2015) “Neuropercolation model of pattern-based computing in brains through cognitive phase transitions,” Theoretical Computer Science C – Natural Computing (in press).
Hu, S., Wang, H., Zhang, J., Kong, W., Cao, Y., Kozma, R. (2015) “Comparison Analysis: Granger Causality and New Causality and Their Applications to Motor Imagery,” IEEE Trans. Neur. Netw. & Learning Syst. (in press).
Kozma, R. "Metastable Activity Patterns in Cortical Dynamics and the Illusion of Localized Representations," Advances in Cognitive Neurodynamics, 4 (2014), 503-507, Springer.
W.J. Freeman, R. Kozma, G. Li, R. Quian-Quiroga, G. Vitiello, T. Zhang "Advanced Models of Cortical Dynamics in Perception," Advances in Cognitive Neurodynamics, 4 (2014), 127-136.
Kozma, R., W.J. Freeman, Modeling Cortical Singularities During the Cognitive Cycle Using Random Graph Theory, Advances in Cognitive Neurodynamics, 4 (2014), 137-142.
Kozma, R. “Random graph theory and neuropercolation for modeling brain oscillations at criticality,” Current Opinion in Neurobiology, 31 (2014), 181-188.
Rabinovich, M.I., Sokolov, Y., R. Kozma “Robust sequential working memory recall in heterogeneous cognitive networks,” Frontiers in Systems Neuroscience, Vol. 8, 220, 2014.
Ilin, R., J. Zhang, L. Perlovsky, R. Kozma (2014) "Vague-to-Crisp Dynamics of Percept Formation Modeled as Operant (Selectionist) Process," Cogn. Neurodyn. 10.1007/s11571-013-9262-0, 2014.
Kozma, R., M. Puljic, “Learning effects in neural oscillators,” Cognitive Computation, Vol. 5(2), pp. 164-169, 2013.
Kozma, R., Puljic, M. “Hierarchical random cellular neural Networks for System-Level Brain-Like Signal Processing,” Neural Networks 45, pp. 201-210, 2013.
Khan, MMR, Iftekharuddin, K., McCracken, E., Islam, K., Wang, L., Kozma, R. Autonomous wireless radar sensor mote for target material classification, Digital Signal Processing, 23(3), 722-735, 2013.
Kozma, R. “Mathematical Theories of Physical Intelligence - A Comment,” Physics of Life Reviews, 10(1), pp. 110-111. 2013.
Kozma, R., J.J. J. Davis, W.J. Freeman “Synchronization of De-Synchronization Events Demonstrate Large-Scale Cortical Singularities As Hallmarks of Higher Cognitive Activity,” J. Neuroscience and Neuro-Engineering JNSNE, 1(1), 13-23, 2012.
Werbos, L., Kozma, R., R. L. Silva, G. Pazienza, P.J. Werbos. “Metamodeling and Critic-Based Approach to Multi-Level Optimization,” Neural Networks, , 32, 179-185, 2012.
Kozma, R., L. Wang, K. Iftekharuddin, E. McCracken, E. I. Khan, M., S.Bhurtel, and R.M.Demirer, R.M. “Radar-Enabled Collaborative Sensor Network Integrating COTS Technology for Surveillance and Tracking,” Special Issue on Collaborative Sensor Networks, Sensors, 11 (2011). doi:10.3390/s110x0000x.
Warlaumont, A., Oller, K., Buder, E., Dale, R., Kozma R. (2010) "Data-driven automated acoustic analysis of human infant vocalizations using neural network tools," J. Acoustical Soc. of America, 127(4), 2563-2577, 2010.
Puljic, M., R. Kozma (2010) “Broad-Band Oscillations by Probabilistic Cellular Automata,“ J. of Cellular Automata, 5(6): 491-507, 2010.
Kozma R. “Complementary aspects of emotions and music,” Phys. of Life Reviews, 7(1), pp. 41-43, 2010.
Kozma, R. “Phase transitions and singular space-time dynamics in cognitive processing,” Phys. of Life Reviews, 7(2), pp. 262-263, 2010.
Kozma, R., S. Bressler, L. Perlovsky, G.K. Venayagamoorthy (2009) “Advances in neural network research: An introduction.” Neural Networks, 22(5-6), pp., 489-490.
Kozma, R., J. Caulfield (2009) “Neurodynamic Correlates of Higher Cognition and Consciousness,” New Math. & Natural Comp., 5(1), pp. 1-6.
Kozma, R., M. Puljic, L. Perlovsky (2009) “Modeling Goal-Oriented Decision Making Through Cognitive Phase Transitions,” New Math. & Natural Comp., 5(1), pp. 143-157.
R. Kozma, W.J. Freeman (2009) “The KIV Model of Intentional Dynamics and Decision Making,” Neural Networks, , 22(3), pp. 277-285.
Freeman, W.J., Kozma, R. (2009) “Brain neural activity patterns yielding numbers are operators, not representations,“ Behavioral & Brain Sciences, 32, pp. 336-337.
Kozma, R., D. Levine, L. Perlovsky (2009) “Introduction to the special issue on goal directed neural systems,” Neural Networks, 22(3), pp. 197-199.
R. Kozma, W.J. Freeman (2008) “Intermittent spatio-temporal desynchronization and sequenced synchrony in ECoG signals,” Interdispl. J Chaos, 18, 037131.
R. Kozma, T. Huntsberger, H. Aghazarian, E. Tunstel, R. Ilin, WJ Freeman (2008) “Intentional Control for Planetary Rover SRR2k,” Advanced Robotics, Vol. 21, No. 8, pp. 1109-1127.
M. Puljic, R. Kozma (2008) “Narrow-band oscillations in probabilistic cellular automata,: Phys. Rev. E. 78026214.
R. Ilin, R. Kozma, and P. J. Werbos (2008) "Beyond Backpropagation and Feedforward Models: a Practical Training Tool for a More Efficient Universal Approximator", IEEE Trans. Neur. Netw.,19(3), 929-937.
Kozma, R. (2007) “Intentional systems: Review of neurodynamics, modeling, and robotics implementations,” Physics of Life Reviews 5(1), pp. 1-21.
Kozma, R., H. Aghazarian, T. Huntsberger, E, Tunstel, W.J. Freeman (2007) “Computational Aspects of Cognition and Consciousness in Intelligent Devices,” IEEE Comp. Int. Mag., 2(3), pp. 53-64.
Kozma, R., Harter, D., Achunala, S. (2007) “Dynamical Aspects of Behavior Generation Under Constraints,” J. Cognitive Neurodynamics, 1(3), 213-223.
Beliaev, I., Kozma, R. (2007) “Time series prediction using chaotic neural networks: Case study of CATS Benchmark test,” Neurocomputing, 70(13), pp. 2426-2439.
Balister, P, Bollobas, B, Kozma, R, (2006) "Mean field models of probabilistic cellular automata", Random Structures and Algorithms, 29, 399-415.
Harter, D., Kozma, R., (2006) “Aperiodic Dynamics and the Self-Organization of Cognitive Maps in Autonomous Agents,” Int. J. Intelligent Systems, 21(9), pp. 955-972.
Kozma, R., Fukuda, T. (2006) “Intentional Dynamic Systems – Fundamental Concepts and Applications,” Int. J. Intelligent Systems; 21; 875-879.
Ilin, R., Kozma, R. (2006) “Stability of coupled excitatory-inhibitory neural populations & application to control multistable systems,” Phys. Lett. A, 360, 66-83.
Puljic, M., Kozma, R. (2005) “Activation Clustering in Neural and Social Networks,” Complexity, 10(4), pp. 42-50.
Harter, D., Kozma, R. (2005) “Chaotic Neurodynamics for Autonomous Agents,” IEEE Trans. Neural Networks, 16(3), pp. 565-579.
Kozma, R., Puljic, M., Bollobas, B., Balister, P., Freeman, W.J. (2005) “Phase Transitions in the Neuropercolation Model of Neural Populations with Mixed Local and Non-Local Interactions,” Biol. Cybernetics. 92(6), pp. 367-379.
Kozma, R., Wong, D., Demirer, M., Freeman, W.J. (2005) “Learning intentional behavior in the K-model of the amygdala and enthorhinal cortex with the cortico-hippocampal formation,” Neurocomputing, 65-66, pp. 23-30.
Wang, D.L., Freeman, W.J., Kozma, R., Lozowski, A.G., Minai, A.A. (2004) “Guest Editorial – Special Issue on Temporal Coding for Neural Information Processing,” IEEE Trans. Neur. Netw., 15(5), pp. 953-956.
Kozma, R., Wong, D., Freeman, W.J., Erdi, P. (2004) “Learning environmental clues in the KIV model of the cortico-hippocampal formation,” Neurocomputing, 58-60, 721-728.
Voicu, H., Kozma, R., Wong, D., Freeman, W.J. (2004) “Spatial navigation model based on chaotic attractor networks,” Connection Science, 16(1), pp. 1-19.
Kozma, R., (2003) On the Constructive Role of Noise in Stabilizing Itinerant Trajectories on Chaotic Dynamical Systems, Chaos, Special Issue on Chaotic Itinerancy, 11(3), pp. 1078-1090.
R. Kozma, M. Puljic, P. Balister, B. Bollobas, W.J. Freeman, (2004) ”Neuropercolation: A Random Cellular Automata Approach to Spatio-Temporal Neurodynamics,” Lecture Notes in Computer Science, vol. 3305, pp. 435-443.
Andras, P., Kozma, R., Erdi., P. (2003) “Complex Nonlinear Neural Dynamics: Experimental Advances and Theoretical Interpretations,” Journal of Integrative Neuroscience, 2(1), pp. 1-3.
Kozma, R., Freeman, W.J. (2003) Basic Principles of the KIV Model and its application to the Navigation Problem, Journal of Integrative Neuroscience, 2(1), pp. 125-146.
Kozma, R., Freeman, W.J., Erdi, P. (2003) The KIV Model – Nonlinear Spatio-temporal Dynamics of the Primordial Vertebrate Forebrain, Neurocomputing, 52-54, pp. 819-826.
P.K. Roy, Kozma, R., Majumdar, D.D. (2002) "From Neurocomputation to Immunocomputation: A Model and Algorithm for Fluctuation-Induced Phase Transition in Biological Systems," IEEE Transactions in Evolutionary Computation, 6(3): 292-305.
Kozma, R., Freeman, W.J. (2002) Classification of EEG Patterns Using Nonlinear Neurodynamics and Chaos, Neurocomputing, 44-46, pp. 1107-1112.
Roy, P.K., Kozma, R. (2002) “A neurocomputational approach to neuro-oncology: programmed multi-modal therapy and neuroimaging brain tumors,” Int. J. of Cancer, 91-91, Suppl. 13.
Kozma, R., Freeman, W.J. (2001). "Chaotic Resonance - Methods and Applications for Robust Classification of Noisy and Variable Patterns," Int. J. Bifurcation & Chaos, Vol. 11, No. 6, pp. 1607-1629.
Kozma, R., M. Alvarado, L.J. Rogers, B. Lau, W.J., Freeman (2001) "Emergence of un-correlated common-mode oscillations in the sensory cortex," Neurocomputing, 38-40, pp. 747-755.
Freeman, W.J., Kozma, R., Werbos, P.J. (2001) "Biocomplexity - Adaptive behavior in complex stochastic systems," BioSystems, 59, pp. 109-123.
Kozma, R. (2001) "Fragmented attractor boundaries in the KIII model of sensory information processing — Evidence of Cantor encoding in cognitive processes," Behavioral and Brain Sciences, 24(5): 820-821.
Freeman, W.J. and Kozma, R. (2000) "Local-global interactions and the role of mesoscopic (intermediate-range) elements in brain dynamics," Behavioral and Brain Sciences, 23(3): 401.
Kasabov, N. and Kozma, R. (2000) "Methods and systems for intelligent human-computer interaction," Special Issue in: Information Sciences, 123(1-2), pp. 1-2.
Kasabov., N., J.S. Kim, R. Kozma, T. Cohen (2001) “Rule extraction from fuzzy neural networks FuNN: method and real world applications,” J. Adv. Comp. Intelligence & Intelligent Informatics, 5(4), 193-200.
Kozma, R., Kasabov, N.K.; Kim, J.S.; Cohen, A. (1998) "Integration of connectionist methods and chaotic time-series analysis for the prediction of process data," International Journal of Intelligent Systems, 13(6), pp.519-38.
Kasabov, N.; Kozma, R. (1998) "Hybrid intelligent adaptive systems: a framework and a case study on speech recognition," International Journal of Intelligent Systems, vol.13, (no.6), p.455-66.
Kasabov, N., Kim, J., Kozma, R., (1998) "A fuzzy neural network for knowledge acquisition in complex time series," Control & Cybernetics, vol. 27(4), 593-611.
Kasabov, N., Kozma, R., Watts, M. (1998) "Phoneme-based speech recognition via fuzzy neural networks modeling and learning," Information Sciences (110) 1-2, pp.61-79.
Kasabov, N., Kozma, R. (1998) "Introduction: Hybrid Intelligent Adaptive Systems," International Journal of Intelligent Systems, vol.13, (no.6), pp.453-454.
Kasabov, N., Kozma, R. (1998) “Self-Organization and Adaptation in Intelligent Systems,” J. Adv. Comp. Intelligence, 2(6), pp. 177-178.
Kozma, R. (1998) "Intermediate-range coupling generates low-dimensional attractors deeply in the chaotic region of one-dimensional lattices," Physics Letters A, vol.244, (1-3), p.85-91.
R. Kozma, M. Kitamura, J.E. Hoogenboom (1997) Void Fraction Measurements in Nuclear Reactors via Neutron Noise Methods, Nucl. Technol., Vol. 118, 242-253.
Kozma, R. (1996) "Multi-Level Knowledge Representation in Neural Networks with Adaptive Structure," Int.J. Syst. Res. Inf. Sci., Vol.7., pp. 1-21.
R. Kozma, M. Sakuma, Y. Yokoyama, M. Kitamura (1996) "On the Accuracy of Mapping by Neural Networks Trained by Backpropagation with Forgetting," Neurocomputing, Vol. 13, No. 2-4, pp. 295-311.
Kozma, R., A. Malinowski, M. Kitamura, J.M. Zurada (1996) "On Performance Measures of Artificial Neural Networks Trained by Structural Learning Algorithm," Austral. J. Intell. Information Proc. Systems, Vol.3, No. 2, pp. 10-15.
H. Konno, R. Kozma, M. Kitamura (1996) CML Approach to Power Reactor Dynamics I. Preservation of Normality, Annals of Nuclear Energy, Vol. 22, 119-131.
R. Kozma, H. Kok, M. Sakuma, D.D. Djainal, M. Kitamura (1996) "Characterization of Two- Phase Flows using Fractal Techniques, " Int. J. Multiphase Flow, Vol. 22, 953-968.
M. Sakuma, R. Kozma, M. Kitamura (1996) Characterization of Anomalies by Applying Methods of Fractal Analysis, Nucl. Technol., Vol. 113, No. 1, 86-99.
R. Kozma, M. Sakuma, S. Sato, M. Kitamura (1995) "Adaptive Neuro-Fuzzy Signal Processing System Using Structural Learning with Forgetting." Intelligent Automation and Soft Computing, Vol. 1. , No. 4, 389-404.
R. Kozma, S. Sato, M. Sakuma, M. Kitamura, T. Sugiyama (1995) "Generalization of Knowledge Acquired by a Reactor Core Monitoring System Based on a Neuro-Fuzzy Algorithm," Progress Nucl. Energy, Vol. 29, Nos. 3-4, 203-214.
R. Kozma (1995) "Studies on the Relationship between the Statistics of Void Fraction Fluctuations and Parameters of Two-Phase Flows,’ Int. J. Multiphase Flow, Vol. 21, No. 2. 241-251.
R. Kozma, K. Nabeshima (1995) Studies on the Detection of Incipient Coolant Boiling in Nuclear Reactors using Artificial Neural Networks, Annals Nucl. Energy, Vol. 22, No.7 483-496.
R. Kozma, S. Sato, M. Sakuma, M. Kitamura (1994) Detecting Unexperienced Events via Analysis of Error Propagation in a Neuro-Fuzzy Signal Processing System, Intelligent Engng. Syst. Artif. Neur. Netw., Vol. 4, 241-246.
M. Kitamura, H. Furukawa, M. Sakuma, R. Kozma, T. Washio (1994) Robust Diagnosis of Nuclear Plant Anomalies Through Multiple Neuro Agent Cooperation, Trans. Am. Nucl. Soc., Vol. 70, No. 1,105-107.
R. Kozma, M. Kitamura, J.E. Hoogenboom, M. Sakuma (1994) Credibility of Anomaly Detection in Nuclear Reactors Using Neural Network, , Trans. Am. Nucl. Soc., Vol. 70, No. 1, 101-103.
R. Kozma, H. van Dam, J.E. Hoogenboom (1992) Identification of Flow Patterns by Neutron Noise Analysis During Actual Coolant Boiling in Thin Rectangular Channels, Nucl. Technol., Vol. 100, 97-110.
R. Kozma, J.E. Hoogenboom (1990) Flow Measurements Using Noise Signals of Axially Displaced Thermocouples, Annals of Nuclear Energy, Vol. 17, No. 9, pp. 493-513.
R. Kozma, J.E. Hoogenboom, H. van Dam (1990) Investigation of the Field-of-View of Neutron Detectors, Kernenergie, Vol. 33, No. 4., pp. 191-199.
Katona, R. Kozma (1988) Problems of Estimation of the Thermohydraulic Parameters Using Neutron and Temperature Noise Signals, Progress in Nuclear Energy, Vol.21, 431-445.
R. Kozma (1988) Application of Reactor Noise Models for the Analysis of Thermohydraulic Feedback, Progress in Nuclear Energy, Vol.21, 309-317.
R. Kozma, L. Mesko (1985) Independent Numerical Studies Via a Multi-Variable Coupled Neutron kinetic-Thermohydraulic Reactor Model, Progress in Nuclear Energy, Vol.15, 699-705.
R. Kozma (1985) Effect of Temperature Feedback on the Neutron-Noise Field in PWRs, Annals of Nuclear Energy, Vol.12, No.5, 247-258.
Mesko, L., R. Kozma, (1984) Investigation of Stochastic Reactor Noise Models — A One-Variable Space-Time-Dependent Model, Nuclear Science & Engineering, Vol.88, 88-93.
Sokolov, Y., Kozma, R., “Stability of dynamic brain models in neuropercolation approximation,” Proc. IEEE Conf. Systems, Man, and Cybernetics (SMC2014), Oct. 5-8, 2014, San Diego, USA, IEEE Press, pp. 2230-2233.
Dutta, J., Banerjee, B., Ilin, R., Kozma, R. (2014) “Abnormal event detection in EEG imaging – Comparing predictive and model-based approaches,” in Proc. IEEE Symposium Series in Comp. Intelligence (SSCI2014), Computational Intelligence in Brain Computer Interfaces (CIBCI), Dec. 9-12, 2014, Orlando, USA, pp. 10-15. IEEE.
Davis, J.J.J., Kozma, R. (2014) “Sensitivity analysis of Hilbert transform with band-pass FIR filters for robust brain computer interfaces,” in Proc. IEEE Symposium Series in Comp. Intelligence (SSCI2014), Computational Intelligence in Brain Computer Interfaces (CIBCI), Dec. 9-12, 2014, Orlando, USA, pp. 16-21, IEEE.
Myers, M.H., Kozma, R., Ilin, R., Davis, J.J.J. (2014) “Phase Cone Detection Optimization in EEG Data,” Proc. IEEE World Congress Comp. Intelligence (WCCI2014), 6-11, July, 2014, Beijing, China, pp. 2504-2511, IEEE Press.
Kozma, R., Freeman, W. J. (2014). “On Neural Substrates of Cognition: Theory, experiments and application in brain computer interfaces.” In Biomedical Science and Engineering Center Conference (BSEC), 2014 Annual Oak Ridge National Laboratory (pp. 1-4). DOI 10.1109/BSEC.2014.6867749, IEEE Press.
Sokolov, Y., Kozma, R., Rabinovich, M.I. (2014). “Noise effects in a dynamic model of attentional switching.” In Biomedical Science and Engineering Center Conference (BSEC), 2014 Annual Oak Ridge National Laboratory (pp. 1-4). DOI 10.1109/BSEC.2014.6867748, IEEE Press.
Erdi, P., Kozma, R., Puljic, M., Szente, J. “Neuropercolation and Related Models of Criticalities.” In Contents XXIX-th Eur. Meeting of Statisticians, Hungary, Aug, 2013, pp. 106.
Kozma, R., Davis, J.J.J., Freeman, W.J., Neurophysiological evidence of the cognitive cycle and the emergence of awareness, Int. Conf. Awareness Sci. & Tech. iCAST2013, Nov. 1-5, 2013, Aizu-Wakamatsu, Japan, IEEE Press.
Kozma, R., Sokolov, Y., Improved Stability Criteria of ADP Control for Efficient Context-Aware Decision Support Systems Int. Conf. Awareness Sci. & Tech. iCAST2013, Nov. 1-5, 2013, Aizu-Wakamatsu, Japan, IEEE Press.
Davis, J.J.J., Kozma, R. Creation of Knowledge & Meaning Manifested via Cortical Singularities in Cognition, IEEE Symp. Series on Comp. Intelligence SSCI2013, Singapore, April 15-19, 2013, pp. 15-22, IEEE Press.
Kozma, R., Freeman, W.J. Modeling cortical singularities during the cognitive cycle using random graph theory. Proc. Int. Conf. Cognitive Neurodynamics, Sigtuna, Sweden, June 20-25, 2013, Springer Verlag (in press, 2013).
Kozma, R., Metastable activity patterns in cortical dynamics and the illusion of localized representations. Proc. Int. Conf. Cognitive Neurodynamics, Sigtuna, Sweden, June 20-25, 2013, Springer Verlag (in press, 2013).
Freeman, W.J., Kozma, R., Li, G., Quiroga, Q.R., Vitiello, G., Zhang, T. Advanced models of cortical processing in perception. Proc. Int. Conf. Cognitive Neurodynamics, Sigtuna, Sweden, June 20-25, 2013, Springer Verlag (in press, 2013).
Kozma, R., The race to new mathematics of brains and computers, Proc. IEEE/INNS Int. Conf. Neur. Networks IJCNN2013, Aug. 4-9, 2013, Dallas, TX, USA, pp. 21-23, IEEE Press, 2013.
Kozma, R., Ilin, R. Detection of Spatiotemporal Phase Patterns in ECoG Using Adaptive Mixture Models, Proc. IEEE/INNS Int. Conf. Neur. Networks IJCNN2013, Aug. 4-9, Dallas, TX, USA, pp. 1290-1296, IEEE Press.
Kozma, R., Rosa, J., Piazentin, D., Cognitive Clustering Algorithm for Efficient Cybersecurity Applications, Proc. IEEE/INNS Int. Conf. Neur. Networks IJCNN2013, Aug. 4-9, Dallas, TX, USA, pp. 471-478, IEEE Press.
Myers, M., Joure, C., Johnston, C., Canales, A., Padmanabha, A., Kozma R. (2013) Spatial Alignment of Scalp EEG Activity during Cognitive Tasks Proc. IEEE/INNS Int. Conf. Neur. Networks IJCNN2013, Aug. 4-9, Dallas, TX, USA, pp. 1197-1204, IEEE Press.
Myers, M. H., & Kozma, R. (2013). Modeling Dynamics of the Human Limbic System. In Advances in Cognitive Neurodynamics (III) (pp. 233-239). Springer Netherlands.
Consul, S., Morshed, B. I., & Kozma, R. (2013). Hardware efficient seizure prediction algorithm. In SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring (pp. 86911J-86911J). International Society for Optics and Photonics.
Resconi, G., Kozma, R. (2012) “Geometry of intentionality in neurodynamics,” Inf. Conf. on Adv. Cogn. Technologies COGNITIVE2012, France, July 27-27, pp. 107-114, 2012.
Hossain, G., M. Myers, Kozma, R., “Study of Phase Relationships in ECoG Signals Using Hilbert-Huang Transforms,” Int. Conf. on Brain-Inspired Cogn. Systems ISNN/BICS2012, Zhenyang, China, July 11-14, 2012, Lecture Notes in Artificial Intelligence LNAI vol. 7366, pp. 174-182, Springer, 2012.
Kozma, R., J.J. Joshua Davis, “On the Invariance of Cortical Synchronization Measures Across a Broad Range of Frequencies,” Inf. Conf. Awareness Sci. & Technology iCAST2012, Seoul, Korea, pp. 280-285, 2012.
Freeman, W.J., Kozma, R., G. Vitiello “Adaptation of the Generalized Carnot Cycle to Describe Thermodynamics of Cerebral Cortex,” Proc. IEEE World Congress Comp. Intellig. WCCI/IJCNN 2012, Brisbane, Australia, June 10-15, 2012, IEEE Press, pp. 3229-3236.
Davis, JJ. Joshua, Kozma, R. “Analysis of Phase Relationship in ECoG using Hilbert Transform and Information Theoretic Measures,” Proc. IEEE World Congress Comp. Intellig. WCCI/IJCNN2012, Brisbane, Australia, June 10-15, 2012, IEEE Press, pp. 887-893.
Ilin, R., Kozma, R. “Cognitively Motivated Learning of Categorical Data with Modeling Field Theory,” Proc. IEEE World Congress Comp. Intellig. WCCI/IJCNN2012, Brisbane, Australia, June 10-15, 2012, IEEE Press.
Kozma, R., T. Tanigawa, O. Furxhi, S. Consul “Autonomous decision support in heterogeneous sensor networks,” Proc. SPIE, 8408-21, pp. 1-9 (2012).
Kozma, R. M. Myers, “Modeling Normal/Epileptic Brain Dynamics with Potential Application in Titration Therapy,” with M. Myers, in Proc. Int. Joint. Conf. Neural Networks IJCNN2011, July 30 – Aug. 4, 2011, San Jose, CA, IEEE Press.
Pazienza, G., Kozma, R., J. Jardis “Cellular Neural Networks and Memristors,” in Proc. Int. Joint. Conf. Neural Networks IJCNN2011, July 30 – Aug. 4, 2011, San Jose, CA, IEEE Press.
Werbos, L.D., Kozma, R., R. L. Silva, G. Pazienza, P.J. Werbos. “Metamodeling for Large-Scale Optimization Tasks Based on Object Networks,” in Proc. Int. Joint. Conf. Neural Networks IJCNN2011, July 30 – Aug. 4, 2011, San Jose, CA, IEEE Press.
Ilin, R., J. Zhang, L. Perlovsky, Kozma, R. “Dynamic Logic for Vague-to-Crisp Perception and Dynamics of Operant (Selectionist) Learning,” Int. Conf. Cognitive Neurodynamics ICCN2011, June 9-13, 2011, Niseko, Hokkaido, Japan.
Myers, M., Kozma, R. ”Modeling Dynamics of the Human Limbic System,” Int. Conf. Cognitive Neurodynamics ICCN2011, June 9-13, 2011, Niseko, Hokkaido, Japan.
Kozma, R., & Puljic, M. (2011). Metastability of Mean Field Neuropercolation–The Role of Inhibitory Populations. In Advances in Cognitive Neurodynamics (II) (pp. 41-46). Springer Netherlands.
Kozma, R. “Neural Correlates of Awareness in Brains and in Man-Made Devices,” 3rd Int. Conf. Awareness Science & Technology, iCAST2011, Dalian, China, September 27-30, 2011, pp. 516-520, IEEE Press.
Kozma, R., M. Puljic “Neural Population Dynamics Modeled by Mean Field Graphs,” Int. Conf. Numerical Analysis and Applied Mathematics ICNAAM2011, Sept. 19-25, 2011, Halkidiki, Greece, Vol. 1389, p. 1348. AIP Press.
Pazienza, G., Kozma R., Memristor as an archetype of dynamic data-driven systems and applications to sensor networks, Proc. Int. Conf. Comp. Science (ICCS) on the Ascent of Computational Excellence, Procedia Computer Science, 4, pp. 1782-1787, 2011.
Iftekharuddin, K., Khan, M.M.R., McCracken, E., Wang, L., Kozma, R. (2011) “Autonomous wireless radar sensor mote integrating a Doppler radar into a sensor mote and its application in surveillance and target material classification,: Proc. SPIE, Vol. 8134, 813403.
Kozma, R., Ilin, R. “Optimization via Efficient Learning in CNNs,” Proc. IEEE Int. Conf. on Cellular Nanoscale Networks and Applications, CNNA2010, Berkeley, CA, Febr. 2-4, 2010, IEEE press.
Kozma, R., L. Wang, K. Iftekharuddin, E. McCracken, et al., “Multi-modal sensor system integrating COTS technology for surveillance and tracking,” IEEE Int. Radar Conf., RADAR2010, Arlington, VA, May 11-14, 2010 IEEE Press.
Kozma, R., Puljic, M. “Chaotic behavior in stochastic cellular neural networks,” IEEE 2010 Int. Joint Conf. Neural Networks, IJCNN2010, World Congress on Comp. Intell. WCCI2010, Barcelona, Spain, July 18-23, 2010, IEEE Press.
Kozma, R., Freeman, W.J. (2009) “Neurodynamics of Cognition and Consciousness,” ACM Workshop on Performance Metrics for Intelligent Systems (PERMIS), September 21-23, 2009, 2004, National Institute of Standards and Technology. NIST, Gaithersburg, Maryland, USA, pp. 147-148, ACM Press.
R. Ilin, R. Kozma (2009) “Sensor integration in KIV brain model for decision making,” Proc. Int. J. Conf. Neur. Netw., IJCNN09, (accepted) IEEE press.
R.M. Demirer, R. Kozma, M. Caglar, Y. Polatoglu (2009) “A new nonlinear filter for the detection of phase transitions in EcoG data,” Proc. Int. J. Conf. Neur. Netw., IJCNN09, (accepted) IEEE press.
R. Kozma, L. Perlovsky, S, J. Ankishetty (2008) “Detection of propagating phase gradients in EEG signals using model field theory of non-Gaussian mixtures,”, Proc. Int. J. Conf. Neur. Netw., IJCNN08, 3524-3529, IEEE press.
H. Puppala, R. Kozma (2008) “Identification of phase transitions in simulated EEF signals,” Proc. Int. J. Conf. Neur. Netw., IJCNN08, 3511-3517, IEEE press.
R. Kozma, T. Huntsberger, H. Aghazarian, W.J. Freeman (2007) “Implementing intentional robotics principles using SRR2K platform,” Proc. IEEE/RSJ int. Conf. on Intelligent Robots and Systems IROS07, San Diego, Ca, Oct. 29-Nov. 2, 2007, pp. 2262-2267. Best Paper Award Runner Up for IROS07.
Myers, M., Kozma, R. (2007) “Modeling Brain Electrical Activity Involving Vagus Nerve Stimulation,” Proc. Int. Conf. Artificial Neural Networks in Engineering ANNIE2007, November 11-14, 2007, St. Louis, MO. Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 17, pp. 3-8. ASME Press.
Rodriguez, J., Kozma, R. (2007) “Phase Synchronization in Mesoscopic Electroencephalogram Arrays.” Proc. Int. Conf. Artificial Neural Networks in Engineering ANNIE2007, November 11-14, 2007, St. Louis, MO. Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 17, pp. 9-14. ASME Press.
R. Kozma, R. Deming, L. Perlovsky (2007) “Estimation of Propagating Phase Transients in EEG Data -Application of Dynamic Logic Neural Modeling Approach,” Proc. International Joint Conference on Neural Networks, IJCNN'07, Aug. 10-14, 2007, Orlando, FL, pp. 1602-1606.
R. Linnehan, J. Schindler, D. Brady, R. Kozma, R. Deming, L. Perlovsky (2007) “Resolving Wall Ambiguities Using Angular Diverse Synthetic Arrays,” Proc. International Joint Conference on Neural Networks, IJCNN'07, Aug. 10-14, 2007, Orlando, FL, pp. 1721-1726
R. Ilin and R. Kozma (2007) "Control of multi-stable chaotic neural networks using input constraints", Proc. International Joint Conference on Neural Networks, IJCNN'07, Aug. 10-14, 2007, Orlando, FL, pp. 1558-1563.
Kozma. R., Puljic, M. (2007) "Modeling Scale-free neurodynamics using neuropercolation approach," Proc. 6th Int. Congress of Industrial and Applied Mathematics, ICIAM07, 16-20, July, 2007, Zurich, Switzerland, Proc. Applied Mathematics & Mechanics, Vol. 7, Wiley Interscience, (in press).
R. Kozma, R. Deming, L. Perlovsky, Optimal Estimation of Parameters of Transient Mixture Processes using Dynamic Logic Approach, Conference on Knowledge-Intensive Multi-Agent Systems KIMAS'07, April 29-3, 2007, Boston, MA, IEEE Press, pp. 1-6.
R. Kozma, R. Linnehan, L. Perlovsky, D. Brady, John Schindler, Target Localization Behind Walls Using Dynamic Logic-Based Autofocusing Approach, IEEE 2007 Radar Conference, April 17-20, 2007, Waltham, MA, pp. 850-855.
Ilin, R., R. Kozma, P. Werbos (2007) “Efficient Learning in Cellular Simultaneous Recurrent Neural Networks - The Case of Maze Navigation Problem,” IEEE Int. Symp. Approx. Dyn. Prog. & Reinforcement Learning, April 2007, Honolulu, Hawaii, IEEE Press, pp. 324-329.
R. Kozma, Influence of Criticality on 1/f^a Spectral Characteristics of Cortical Neuron Populations, Proc. IEEE World Congress on Computational Intelligence, July 16-21, 2006, Vancouver, Canada, IEEE Press, 2006, pp. 632-637.
I. Beliaev, R. Kozma, Studies on the memory capacity and robustness of chaotic dynamic neural networks, Proc. IEEE World Congress on Computational Intelligence, July 16-21, 2006, Vancouver, Canada, IEEE Press, 3991-3998, 2006.
K.K. Majumdar, R. Kozma, Studies on Sparse Array Cortical Modeling and Memory Cognition Duality, Proc. IEEE World Congress on Computational Intelligence, July 16-21, 2006, Vancouver, Canada, IEEE Press, 2006, pp. 4964-4967.
Kozma, R., Buczak, A. (2006) “Biomedical Hypothesis Generation & Testing by Evolutionary Computation ,“ Int. Conference on Data Mining DMIN’06, Best Paper Award, June, 2006, Las Vegas, CSREA Press, pp. 97-106.
R. Kozma, M. Puljic, Noise-Mediated Intermittent Synchronization of Collective Behaviors in the Probabilistic Cellular Automata Model of Neural Populations, 10th Artificial Life Conference ALIFEX, June 3-7, 2006, Bloomington, IN, MIT Press, pp. 310-316.
Beliaev, I., Ilin, R., Kozma, R. (2005) “Nonlinear NeuroDynamics Tool for System Analysis and Application for Time Series Prediction,” IEEE 2005 Systems, Man, and Cybernetics Conference, October 11-13, 2005, Hawaii., IEEE Press, Vol. 2, pp. 1011-1016.
Kozma, R., Tunstel, E. (2005) “Multisensory Information Fusion using Dynamical Principles on Networked Robotics,” IEEE 2005 Systems, Man, and Cybernetics Conference, October 11-13, 2005, Hawaii, IEEE Press, Vol. 2, 1005-1010.
Kozma, R., Myers, M. (2005) “Modeling Phase Transitions using KIV Approach,” IEEE/INNS Joint Conference on Neural Networks IJCNN’05, July 30-Aug. 5, 2005, Montreal, Canada, pp. 125-130.
Ilin, R., Kozma, R. (2005) ”Stability Conditions of the full KII Model of Excitatory and Inhibitory Neural Populations,” IEEE/INNS Joint Conference on Neural Networks IJCNN’05, July 30-Aug. 5, 2005, Montreal, Canada, pp. 3162-3167.
Azhar, H., Iftekharuddin, K., Kozma, R. (2005) “A Chaos Synchronization-Based Dynamic Vision Model for Image Segmentation,” IEEE/INNS Joint Conference on Neural Networks IJCNN’05, July 30-Aug. 5, 2005, Montreal, Canada, pp. 3375-3380.
Wong, D., Myers, M., Kozma, R., Thirumalainambi, R. (2005) “Intentional navigation and phase transition analysis in amygdale of KIV model,” SAE 2005 Transactions Journal of Aerospace, 2005-01-3381, SAE International Publ., pp. 1227-1232.
Wong, D., Kozma, R., Tunstel, E., Freeman, W.J. (2004) “Navigation in a Challenging Martian Environment Using Multi-Sensory Fusion in KIV Model,” Proc. IEEE Int. Conf. Robotics & Automation ICRA’04, April 28 – May 1, 2004, New Orleans, LA, IEEE Press, pp. 672-677.
Harter, D, Kozma, R. (2004). “Aperiodic Dynamics for Appetitive/Aversive Behavior in Autonomous Agents,” Proc.IEEE Int. Conf. Robotics & Automation ICRA’04, April 28 – May 1, 2004, New Orleans, LA, IEEE Press, pp. 2147-2152.
Harter, D., Kozma, R. (2004) “Aperiodic Dynamics and the Self-Organization of Cognitive Maps in Autonomous Agents,” Proc. 17th Int. FLAIRS Conference, May 17-19, 2004, Miami Beach, FL., AAAI Press, ISBN 1-57735-201-7.
Harter, D., Kozma, R. (2004) “Navigation and Cognitive Map Formation using Aperiodic Neurodynamics,” Proc. 8th Int. Conf.: From Animals to Animats - Simulation of Adaptive Behavior SAB'04, July 13-17, 2004, Los Angeles, CA, The MIT Press, Bradford Book, pp. 264-273.
Kozma, R. (2004) “On noise-induced resonances in neurodynamic models,” IEEE/INNS 2004 Int. Joint Conference on Neural Networks IJCNN’04, July 25-29, 2004, Budapest, Hungary, IEEE Press, Piscataway, NJ, pp. 3041-3045.
Muthu, S., Kozma, R., Freeman, W.J. (2004) “Applying KIV Dynamic Neural Network Model for Real Time Navigation by Mobile Robot Aibo,” IEEE/INNS 2004 Int. Joint Conference on Neural Networks IJCNN’04, July 25-29, 2004, Budapest, Hungary, IEEE Press, Piscataway, NJ, pp. 1617-1622.
Ilin, R., Kozma, R., Freeman, W.J. (2004) “Studies on the Conditions of Limit Cycle Oscillations in the KII Models of Neural Populations,” IEEE/INNS 2004 Int. Joint Conference on Neural Networks IJCNN’04, July 25-29, 2004, Budapest, Hungary, IEEE Press, Piscataway, NJ, pp. 1511-1517.
Beliaev, I., Kozma, R. (2004) “Time series prediction using chaotic neural networks: Case study of IJCNN CATS benchmark test,” IEEE/INNS 2004 Int. Joint Conference on Neural Networks IJCNN’04, July 25-29, 2004, Budapest, Hungary, IEEE Press, Piscataway, NJ, pp. 1609-1613.
A. Lendasse , G. Simon , R. Kozma , V. Wertz , M. Verleysen (2004) Fast Bootstrap for Least-square Support Vector Machines, 12th European Symp. Neural Networks, ESANN 2004, Brugge, Belgium, April 28-30, 2004, pp. 525-530.
Kozma, R., Wong, D., Tunstel, E., Freeman, W.J. (2004) “The role of amygdala on the behavior of intentional autonomous agents,” 1st Intelligent Systems Technical Conference of the American Institute of Aeronautics and Astronautics AIAA.
Gomez, J. Kozma, R. (2004) “Fuzzy Class Binarization using Coupled Map Lattices,” North American Fuzzy Information Processing Conference NAFIPS’04, June 27-30, 2004, Banff, Alberta, Canada, IEEE Press, pp. 973-978.
Harter, D. and Kozma, R. (2004). Complex Systems Approaches to the Ontogenetic Development of Behavior.” 1st Intelligent Systems Technical Conference of the American Institute of Aeronautics and Astronautics AIAA.
Kozma, R., Muthu, S. “Implementing Reinforcement Learning in the Chaotic KIV Model using Mobile Robot Aibo,” 2004 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems IROS’04, Sept. 28 – Oct. 2, 2004, Sendai, Japan, IEEE Press, pp. 2337-2342.
Kozma, R., Voicu, H., Wong, D., Freeman, W.J. (2003) “A Dynamical Neural Network Algorithm for Autonomous Learning and Navigation Control,” IEEE 2003 International Conference on Systems, Man, & Cybernetics SMC'03, Washington D.C., Oct. 5-8, 2003, IEEE Press, pp. 2132-2137.
Kozma, R., Ankaraju, P. (2003) Learning Spatial Navigation Using Chaotic Neural Network Model, International Joint Conference on Neural Networks IJCNN’2003, Portland, OR, July 14-19, 2003, pp. 1476-1479.
Li, H., Kozma, R. (2003) A Dynamical Neural Network Method for Time Series Prediction Using the KIII Model, International Joint Conference on Neural Networks IJCNN’2003, Portland, OR, July 14-19, 2003, pp. 347-352.
Puljic, M., Kozma, R. (2003) Phase Transitions in a Probabilistic Cellular Neural Network Model Having Local and Remote Connections, International Joint Conference on Neural Networks IJCNN’2003, Portland, OR, July 14-19, 2003, pp. 831-835.
Kozma, R., Freeman, W.J., Erdi, P. (2002) "The KIV-Model: Spatio-Temporal Dynamics of the Cortico-Hippocampal System," 2002 Computational Neuroscience Conference CNS*2002, Chicago, IL, July 21-25, 2002.
Harter, D., Kozma, R. (2002) "Simulating the Principles of Chaotic Neurodynamics," in the Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2002), July 15-17, 2002, Orlando, Florida, Vol. XIII, pp. 598-603.
Kozma, R., Harter, S., Achunala, S. (2002) "Action Selection Under Constraints: Dynamic Optimization of Behavior in Machines and Humans," International Joint Conference on Neural Networks IJCNN’02, World Congress on Computational Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002, pp. 2574-2579.
Pramanik, S., Kozma, R., Dasgupta, D. (2002) "Dynamical Neuro-Representation of an Immune Model and its Application for Data Classification," International Joint Conference on Neural Networks IJCNN’02, World Congress on Computational Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002, pp. 130-135.
Kozma, R., P. Balister, B. Bollobas (2002) "Self-organized development of behaviors in spatio-temporal dynamical systems," International Joint Conference on Neural Networks IJCNN’02, World Congress on Computational Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002, pp.2261-2265.
Kozma, R., Majumdar, N.S., Dasgupta, D. (2002) "Optimum Complexity Neural Networks for Anomaly Detection Task," International Joint Conference on Neural Networks IJCNN’02, World Congress on Computational Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002, pp.1138-1142.
Kondadadi, R., Kozma, R. (2002) "A Modified Fuzzy ART for Soft Document Clustering," International Joint Conference on Neural Networks IJCNN’02, World Congress on Computational Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002, pp. 2545-2549.
Kelemen, A., Kozma, R., Liang, Y. (2002) "Neuro-Fuzzy classification for the job assignment problem," International Joint Conference on Neural Networks IJCNN’02, World Congress on Computational Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002, pp. 1831-1836.
F. Gonzalez, D. Dasgupta, R. Kozma (2002) "Combining Negative Selection and Classification Techniques for Anomaly Detection," International Conference on Evolutionary Computation, ICEC’02, World Congress on Computational Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002, pp. 705-710.
M.H. Garzon, P. Ankaraju, E. Drumwright and R. Kozma (2002) "Neurofuzzy Recognition and Generation of Facial Features in Talking Heads," IEEE International Conference on Fuzzy Systems, Fuzzy-IEEE’02, World Congress on Computational Intelligence WCCI’2002, Honolulu, Hawaii, May 12-17, 2002, pp. 926-931.
Kozma, R., Balister, P., Bollobas, B., Freeman, W.J. (2001) "Dynamical Percolation Models of Phase Transitions in the Cortex," in: Proc. NOLTA’01 Nonlinear Theory and Applications Symposium, Miyagi, Japan, Oct. 28-Nov. 1, 2001, Vol. 1, pp. 55-59.
Kozma, R., Freeman, W.J. (2001) "Control of Mesoscopic/ Intermediate-Range Spatio-Temporal Chaos in the Cortex," Proc. 2001 American Control Conference ACC01, June 25-27, 2001, Arlington, VA, pp. 263-268.
Kozma, R., D. Harter, W. Freeman, S. Franklin (2001) "Self-Organizing Ontogenetic Development for Autonomous Adaptive Systems," IEEE/INNS Int. Joint Conf. Neural Networks, Washington D.C., July 14-19, 2001, pp. 633-637.
Kozma, R., W.J. Freeman (2001) "Analysis of Visual Theta Rhythm - Experimental and Theoretical Evidence of Visual Sniffing," IEEE/INNS Int. Joint Conf. Neural Networks, Washington D.C., July 14-19, 2001, pp. 1118-1123.
Kozma, R., W.J. Freeman (2001) "Use of nonlinear dynamics and chaos for classification of EEG patterns," Int. Conf. Computational Neuroscience CNS*2001, June 30-July 5, Asilomar, CA.
Harter, D., Kozma, R., Franklin, S. P. (2001) " Task environments for the dynamic development of behavior," International Conf. Computer Science ICCS/ISDA, May 28-30, 2001, San Francisco, CA; "Lecture Notes in Computer Science", Springer Verlag, LNCS 2047, pp.
Harter, D., Kozma, R., Graesser, A.C. (2001) "Models of ontogenetic development for autonomous adaptive systems," in: Proceedings of the 23rd Annual Conference of the Cognitive Science Society (CogSci 2001), Edinburgh, U.K., August 1-4, 2001.
Harter, D., Kozma, R. (2001) "Ontogenetic development of behavior for simple tasks," Proceedings of the Artificial Intelligence and Soft Computing Conference (ASC 2001), Cancun, Mexico, May, 2001, pp. 410-413.
Harter, D., Kozma, R., Franklin, S. P. (2001) "Ontogenetic development of skills, strategies, and goals for autonomously behaving systems ," World Conference on Systemic, Cybernetics, and Informatics, SCI’2001. July 22-25, 2001. Vol. III, pp. 178-182.
Kozma, R. and W.J. Freeman (2000) "Encoding and recall of noisy data as chaotic spatio-temporal memory patterns in the style of the brains," Proc. IEEE/INNS Int. Joint Conf. Neural Networks IJCNN2000, July 24-27, Como, Italy, Vol. 5, pp. 33-38.
Kozma, R. and W.J. Freeman (2000) "The effect of external and internal additive noise on the pattern classification performance of chaotic neural networks," Proc. Int. Conf. on Systemics, Cybernetics, & Informatics SCI2000, Orlando, Fl, July 23-26, Vol. 10, pp. 407-412.
Roy, P.K., R. Kozma, D. Dutta Majumdar, J. Biswas (2000) "From neuro-computing to immuno-computing: Tumor stability analysis as a new anti-cancer strategy," In: Advances in Pattern Recognition and Digital Techniques, Eds: N.R. Pal, A.K. De, J. Das, Proc. 4th Internat. Conf. Advances in Pattern Recognition and Digital Techniques, ICAPRDT'99, Calcutta, India, pp. 372-376, Narosa, London, 2000.
Kozma, R. and W.J. Freeman (1999) "A possible mechanism for intermittent oscillations in the KIII model of dynamic memories — the case study of olfaction," Proc. IEEE/INNS Int. Joint Conf. Neural Networks, July 10-16, Washington D.C., Vol. 1, pp. 52-57.
Roy, P.K., D.D. Maiumdar, R. Kozma, J. Biswas (1999) "A cybernetic approach to spontaneous cancer remission," Proc. 11th Int. Conf. Of Cybernetics & Systems, ICCS’99, Brunel Univ., London.
Kozma, R., N. Kasabov (1998) "Rules of chaotic behavior extracted from a fuzzy-neural network," Proc. WCCI’98, Int. Conf. Fuzzy Systems FUZZ-IEEE, Anchorage, AK, May 5-9, 1998, Vol. 2, pp.1159-1163.
Kasabov, N., Kozma, R. and Duch, W. (1998) Rule extraction from linguistic rule networks and from fuzzy neural networks: propositional versus fuzzy rules, in: Proceedings of the Conference on Neural Networks and Their Applications NEURAP’98, Marseilles, France, 11-13 March (1998) 403-406.
Kozma, R., Kasabov, N.K., J.A. Swope, M.J.A. Williams (1997) Combining Neuro-Fuzzy and Chaos Methods for Intelligent Time Series Analysis — Case Study of Heart Rate Variability, Proc. Of the 1997 IEEE Int. Conf. On Systems, Man and Cybernetics, Orlando, October 12-15, 1997, Vol. 4, pp. 3025-3029.
Kozma, R., J.A. Swope, M.J.A. Williams, Kasabov, N. (1997) A multi-agent realisation of fractal analysis by fuzzy neural networks, Proc. Int. Conf. Neural Information Processing ICONIP97, Dunedin, November 24-28, 1997.
Kozma, R., (1997) On the Conscious and Subconscious Components of Knowledge Representation in Neural Networks, Proc. IEEE 1997 Int. Conf. Neural Networks, June 8-12, 1997, Houston, USA, IEEE Press, 1997.
Kasabov, N. and Kozma, R. (1997) Chaotic adaptive fuzzy neural networks and their applications for phoneme-based spoken language recognition, Proc. Of Int. Conf. Vision, Recognition, Action: Neural Models of Mind and Machines, Boston University, p. 109, 1997, May 28-31.
Takei, S., Kozma, R., Konno, H., Kitamura, M. (1996) Stability Studies in Physical Systems Using Coupled Map Lattice Method, Methodologies for the Conception, design, and Application of Intelligent Systems, Proc. IIZUKA96, Vol. 2, 696-699, Publ. World Scientific.
Roston, G., R. Kozma, M. Kitamura (1996) Monitorng the State of the Coolant in a Boiling Water Reactor, Proc. OECD Specialist Meeting on In-core Instrumentation and Reactor Core Assessment, 1996, Mito, Japan, Oct. 16-17, 1996.
Kozma, R., M. Kitamura, S. Saito, (1996) Monitoring of NPP state using structural adaptation in a neural signal processing system, Proc. ANS 1996 Topical Meeting on "Nuclear Plant Instrumentation, Control, and Human-Machine Interface Technologies" PennState, PA, May 6-9, 1996.
R. Kozma, M. Kitamura (1996) The Virtue of Partial Skeletonization in Neural Networks, Proc. IEEE 1996 Int. Conf. Neural Networks, June 3-6, 1996, Wash. D.C.,USA, Publ.: IEEE Press.
Ishige, T., Sato, S., Kozma, R., Kitamura (1996) Elaboration of Structural Learning for Rule Elicitation and Understanding by Neural Networks, Methodologies for the Conception, design, and Application of Intelligent Systems, Proc. IIZUKA96, Vol. 2, 941-944, Publ. World Scientific.
R. Kozma, H. Konno, M. Kitamura (1995) Coupled Map Lattice Approach to the Stability of Power Reactors, Proc. 7th OECD Symposium on Nuclear Reactor Surveillance and Diagnosis (June 19-23, 1995, Avignon, France) Ed. P. Nagel, Publ.: OECD Nucl. En. Agency, Vol. 1, 211-218.
R. Kozma, H. Konno, T. Sugiyama, M. Kitamura (1995) Application of Coupled Map Lattices to the Investigation of Power Oscillations in BWRs, Proc. 9th Power Plant Dyn., Testing Symp. (May 24-26, 1995, Knoxville, TN, USA) Ed. B.R. Upadhyaya, Publ.: Univ. Tennessee, Vol. 2, 80.01-80.09.
Kozma, R., Kitamura, M., Malinowski, A., Zurada, J.M. (1995) On Performance Measures of Artificial Neural Networks Trained by Structural Learning Algorithms, Proc. 2nd New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, November 20-23, 1995, Dunedin, NZ, Publ. IEEE Computer Soc. Press, pp. 22-26.
R. Kozma, M. Kitamura (1995) Dynamic Structure Adaptation in Feed-Forward Neural Networks — An example of Plant Monitoring, Proc. IEEE 1995 Int. Conf. Neural Networks, Nov. 27 — Dec. 1, 1995, Perth, Australia, Publ.: IEEE Press, USA, Vol. 2, 692-697.
R. Kozma, M. Kitamura, M. Ishikawa (1995) Selecting Optimum Neural Network Architecture Using Structural Learning Algorithm with Forgetting, Proc. 1995 Annual Conference of Japanese Neur. Network Soc. (October 18-20, 1995) Ed.: R. Futami, Publ.: JNNS, pp. 303-304.
R. Kozma, Y. Yokoyama, M. Kitamura (1995) Intelligent Monitoring of NPP Anomalies by and Adaptive Neuro-Fuzzy Signal Processing Methods, Proc. ANS Topic. Mtg. On Computer-Based Human Support Systems: Technology, Methods & Future (June 25-29, 1995, Philadelphia, PA, USA) Ed. A. Poucet, pp. 449-456.
M. Sakuma, H. Schoonewelle, R. Kozma, M. Kitamura, J.E. Hoogenboom (1995) Boiling Anomaly Detection by Various Signal Characterization Methods, Proc. 7th OECD Symp. On Nuclear Reactor Surveillance an Diagnosis (June 19-23, 1995, Avignon, France) Ed. P. Nagel, Publ.: OECD Nucl. En. Agency, Vol. 1, 391-399.
M. Kitamura, H. Furukawa, R. Kozma, T. Washio (1995) Guiding Rules for Development of Intelligent Monitoring System of Nuclear Power Plants, Proc. 7th OECD Symposium on Nuclear Reactor Surveillance and Diagnosis (June 19-23, 1995, Avignon, France) Ed. P. Nagel, Publ.: OECD Nucl. En. Agency, Vol. 1, 14.51-14.59.
M. Sakuma, Y. Yokoyama, T. Washio, R. Kozma, M. Kitamura (1995) Integrated Multi-perspective Monitoring of Incipient Anomalies in Nuclear Power Plants, Proc. 9th Power Plant Dyn., & Testing Symp. (May 24-26, 1995, Knoxville, TN, USA) Ed. B.R. Upadhyaya, Publ.: Univ. Tennessee, Vol. 2, 58.01-58.12.
R. Kozma, Y. Yokoyama, M. Kitamura (1995) Predictive Acquisition of Knowledge by a Hybrid NPP Monitoring System, Proc. 9th Power Plant Dyn., & Testing Symp. (May 24-26, 1995, Knoxville, TN, USA) Ed. B.R. Upadhyaya, Publ.: Univ. Tennessee, Vol. 2, 59.01-59.08.
D. Djainal, M. Sakuma, R. Kozma, M. Kitamura (1995) Characterizing Two-Phase Flow Patterns Using Fractal Techniques, Proceedings of 2nd Int. Conf. Multiphase Flow (April 3-7, 1995, Kyoto, Japan) Ed. A. Serizawa, Vol. 3 FT 1.31-1.36.
R. Kozma, M. Sakuma, S. Sato, M. Kitamura. (1994) Evaluating the Consistency Between Input Uncertainty and Learning Accuracy in Neural Networks, Proceedings of 3rd Int. Conf. On Fuzzy Logic, Neural Nets and Soft Computing (Aug. 3-7, 1994, Iizuka, Japan) Publ.: FLSI, Fukuoka, Japan, 69-70.
R. Kozma, M. Kitamura, M. Sakuma, Y. Yokoyama (1994) Anomaly Detection by Neural Network Models and Time Series Analysis, Proc. IEEE World Congress on Comput. Intelligence, IEEE International Conference on Neural Networks (June 28 — July 2, 1994, Orlando, USA) Publ.: IEEE Press, USA, Vol. 5, 3207-3210.
K. Nabeshima, R. Kozma, E. Turkcan (1994) Analysis of the Response Time of an On-line Boiling Monitoring System in Research Reactors with MTR-Fuel, Proc. 16th Int. Meeting on Reduced Enrichment for Research and Test Reactors (Oct., 1993, Oarai, Japan) Publ.: JAERI-M 94-042.
R. Kozma (1991) Interpretation of Velocities Measured by Neutron Noise in BWRs, Proc. 6th Symp. On Nuclear Reactor Surveillance and Diagnostics (May 1991, Knoxville, USA) Publ.: OECD, Paris, France, Vol. 2, 38.01-38.11.
Kozma, J.E. Hoogenboom, H. van Dam (1989) Boiling Detection Using Signals of Self-Powered Neutron Detectors and Thermocouples, Proc. Of OECD Specialists’ Meeting on In-Core Instrumentation and Reactor Core Assesment (June 1988, Cadarache, France) Publ. By OECD, Paris, France, pp.390-398.
Kozma, R., (1986) Analysis of Noise Phenomena Caused By Thermo-hydraulic Processes in PWRs, Proc. Of 6th Power Plant Dynamics, Control and Testing Symposium, April 1986, Knoxville, USA, Editors: B.R. Upadhyaya et al., Vol.1, 40.01-40.18.
R. Kozma (1984) Analysis of Thermophysical Feedback Effects on the Noise Field of Nuclear Power Reactors, Proc. IAEA Seminar Diagnosis of and Response to Abnormal Occurrences at NPPs, June 1984, Dresden, G.D.R., IAEA-TECDOC-334, 479-492.
Plenary Talk “Big Data Challenges in Large-Scale Networks - From Brains to Stars,” at IEEE CIS Winter School on Big Data, February 19-21, 2016, Washington DC.
Special Symposium Talk: ”Experimental Evidence of the ‘Aha’ Moment in Conscious Experience,” Int. Conf. Towards the Science of Consciousness (TSC15), June. 8-13, 2015, Helsinki, Finland.
Invited Talk: Transient Spatio-Temporal Dynamics as Modus Operandi of Large-Scale Networks, Antofagasta University, December 18, 2014, Chile.
Plenary Talk: Transient Spatio-Temporal Dynamics as Modus Operandi of Large-Scale Networks, Xth IEEE Latin-American Summer School on Computational Intelligence, Dec. 16, 2014, University of Chile, Santiago, Chile.
Invited Talk: Transient Cognitive Dynamics Modeled through Criticality in Brains, School of Cognitive and Information Sciences, University of California at Merced, October 21, 2014, Merced, CA.
Invited Talk: Neuropercolation Models of Cortical Neurodynamics – Interpre-tation of Transient Cognitive Dynamics, University of Massachusetts at Amherst, October 2, 2014, Amherst, MA.
Plenary Talk: Neural Substrates of Cognition - Theory, Experiments & Applications in Brain Computer Interfaces, at Biomedical Science and Engineering Conference BSEC14, May 6-8, 2014, ORNL, TN, USA.
Invited Seminar Talk: The role of extreme events in natural phenomena: From solar flares and earthquakes to brains, Department of Risk Engineering, Tsukuba University, November 6, 2013, Japan.
Invited Talk: Critical Phase Transitions in the Cerebral Cortex as Part of the Intentional Cognitive Cycle, Brain Science Institute, Tamagawa University, Nov. 5, 2013, Tokyo, Japan.
Keynote Talk: Emergent awareness in large-scale biological and technical networks, Nov. 1, 2013, Opening Session at the Int. Conf. Awareness Sci. & Technology, University Aizu-Wakamatsu, Japan.
Panel Organizer and Chair: Computational Intelligence and Cognition in University Curricula, Int. Joint Conf. Neural Networks, Aug. 6, 2013, Dallas, TX, USA.
Invited Talk: “Metastable activity patterns in cortical dynamics and the illusion of localized representations.” At Dynamic Brain Forum, Int. Conf. Cognitive Neurodynamics, Sigtuna, Sweden, June 22, 2013.
Invited Plenary Talk: at Dynamic Brain Forum, September 3-6, 2012, Cardona, Spain.
Invited Talk: “Neuropercolation in Brains and in Cognition Models and Control Applications,” Tong Ji University, July 9, 2012, Shanghai, China.
Invited Talk: “Critical Behavior in Brains – EEG Experiments and Thermodynamic Models,” Hangzhou University, July 10, 2012, Hangzhou, China.
Plenary Talk: “High-Resolution Spatio-Temporal Neurodynamics – Experimental Studies and Cognitive Relevance,” Neural Engineering Workshop, December 21-22, 2011, National Chiao-Tung University, Taiwan.
Plenary Talk: Neural Correlates of Awareness in Brains and in Man-Made Devices, Int. Conf. Awareness Sci. & Technol., iCAST2011, September 27-30, 2011, Dalian, China.
Invited Talk: Intentional Neurodynamics in Animals and Implications for Building Autonomous Devices,” Chinese Academy of Sciences, Institute of Automation, September 26, 2011, Beijing, China.
Invited Talk at Mini-Symposium on Neurodynamics “Neural Population Dynamics Modeled by Mean Field Graphs,” Int. Conf. Numerical Analysis and Applied Mathematics ICNAAM2011, Sept. 19-25, 2011, Halkidiki, Greece.
Tutorial: “Neuropercolation + Neurodynamics: Dynamical Memory Neural Networks in Biological Systems and Computer Embodiments,” Inf. Joint. Conf. Neural Networks IJCNN2011, with W.J. Freeman, July 30, 2011, San Jose, CA.
Plenary Talk: “Neuropercolation approach to singular space-time dynamics of cortical processes,” Int. Conference on Cognitive Neurodynamics ICCN2011, June 9-13, 2011, Niseko, Hokkaido, Japan.
Keynote Talk: “Dynamical Aspects of Awareness and Intentionality in Biological and Man-made Systems,” 2ns Int. Symp. On Aware Computing ISAC2010, Nov. 1-4, 2010, Taiwan.
Plenary Talk: “Metastability of Mean-field Neuropercolation – The Role of Inhibitory Populations,” at International Conference on Cognitive Neurodynamics ICCN09, Hangzhou, China, November 15-19, 2009.
Invited Lecturer of Short Course (1 week) on “Noise and Intelligence: Mathematical Foundations, Biological Background, and Computational Models,” Institute of Mathematics, Wroclaw University of Technology, Wroclaw, Poland, October 19-23, 2009.
Plenary Keynote Talk “Phase Transitions in Brains and Brain Models – Neural Substrates of Cognition and Awareness in Man and Machines, Aizu-Wakamatsu, Japan, September 18-19, 2009.
Invited Speaker “Neuropercolation Models of Cognitive Phase Transitions,” at Workshop on Advances in Neurodynamic Systems, Atlanta, GA, USA, June 17-18, 2009.
Invited Talk “Phase Transitions in Large-scale random graphs for cognitive modeling,” Dept. ECE, MST Missouri Science & Technology University, Rolla, MO, March 30, 2009.
Invited Speaker “Virtual Communities – Large-Scale Human-Computer networks,” NSF Workshop on Computational Intelligence & Machine Learning for Virtual Organizations,” October 24, 2008, George Mason U, Fairfax, VA.
Invited Talk “Chaotic Dynamical Neural Networks: Models and Applications,” Seminar at Dept. Mech. & Control Engng, Chinese U of Hong Kong, May 30, 2008, Hong Kong
Invited Talk: “NSF Workshop on Emerging Models and Technologies in Computing (EMT): Bio-Inspired Computing and the Biology and Computer Science Interface,” July 24-25, 2008, Princeton University, NJ.
Invited Talk: “NSF Workshop on Emerging Models and Technologies in Computing (EMT): Bio-Inspired Computing and the Biology and Computer Science Interface,” July 24-25, 2008, Princeton University, NJ.
Invited talk “Phase Transitions and the Dynamics of Cognitive Attractor Landscapes,” Parmenides Workshop by invitation only, May 22-23, 2008, Isle Elba, Italy
Workshop Talk and Organizing: “Use of Mathematical Physics to Model Neural Correlates of Brain Activity,” Conference on Towards the Science of Consciousness, April 7-12, 2008, Tucson, AZ.
Plenary Speaker: “Cognitive Phase Transitions in Brains: Models and Applications,” Artificial Neural Networks in Engineering Conference ANNIE07 (November 11-14, 2007, St. Louis, MO)
Special Session Organizer and Speaker: “Neurodynamics: from neurons to higher cognitive functions,” jointly with P. Andras (Newcastle), IJCNN 2007 (Aug. 12-17, 2007, Orlando, FL).
Workshop Organizer and Invited Speaker: “Nonlinear Brain Dynamics for Computational Intelligence,” 10th Joint Conference on Information Science JCIS07, July 19-24, 2007, Salt Lake City, UT.
Symposium Organizer and Invited Speaker: “Dynamical Systems Approaches in Neuroscience: Theory, Experiments, and Applications,” Symposium organized at 6th International Congress on Industrial and Applied Mathematics ICIAM’07 (16-20, July, 2007, Zurich, Switzerland).
Panelist: “SBIR/STTR Phase I, Tools for Collaboration Panel,” NSF Industrial and Innovation Partnerships,” (February, 2007, Arlington, VA)
Invited Talk: “Modeling Cortical Phase Transitions,” at NSF Conference on Brain Network Dynamics (January 26-27, 2007, Berkeley, CA).
Invited Talk: “Phase Transition Models of Intentional Cortical Dynamics,” Conference on Goal-Oriented Neural Systems (November 3-4 2006, Arlington, TX).
Panelist: Computer Modeling and Mathematics Panel at NSF Workshop “Large Scale Random Graphs Methods for Modeling Mesoscopic Behavior in Biological and Physical Systems,” Renyi Institute of Mathematics (August 29, 2006, Budapest, Hungary).
Special Track Organizer: "Neurodynamics of Higher-level Cognitive Behavior," jointly with Leonid Perlovsky at the IEEE 2006 World Congress on Computational Intelligence (July 16-20, 2006, Vancouver, Canada).
Workshop Organizer: “Neurodynamics Methods for Analysis and Control of Cognitive Behaviors,” jointly with A. Seth (NSI, CA) J. Tani (RIKEN, Japan) at 10th Artificial Life Conference ALIFEX (June 3-7, 2006, Bloomington, IN).
Keynote Talk: “Neuropercolation Model of Cortical Phase Transitions – Dynamics of Cognition and Intelligence,” Chaos & Complex Systems Symposium (May 12-13, 2006, Istanbul, Turkey).
Invited Talk: “Dynamical Systems Approach to Intentional Robots,” At Dept. EE & CS, UC Berkeley, BISC Berkeley Initiative on Soft Computing Seminar Series (February 28, 2006, Berkeley, CA).
Invited Talk: “Dynamical Systems and Intelligent Behavior,” at Florida Atlantic University, Complex Systems and Brain Sciences Institute (January 16, 2006, Boca Raton, FL).
Invited Talk: “SODAS – A Dynamical Systems Approach to Robot Intelligence and Autonomy Applied to Sample Return Rover SRR Platform,” at JPL Robot Autonomy Division (Sept. 15, 2005, Pasadena, CA)
Invited Talk: “Neuropercolation – Dynamical Approach to Autonomy,” Neuroscience Institute NSI Seminar (Sept. 8, 2005, La Jolla, CA).
Invited Talk: “Self-Organized Development of Autonomous Adaptive Systems,” Distinguished Lecturer at Navy Center of Applied Research in Artificial Intelligence NCARAI, Navy Research Laboratory NRL (May 9, 2005, Arlington, VA).
Special Session Organizer: “Neurodynamics and Intentional Dynamic Systems,” at IEEE Int. Conf. on Neural Networks, IJCNN’05 (August 4, 2005, Montreal, Canada).
Workshop Chair: “Nonlinear Spatio-Temporal Neural Dynamics,” at Int. conf. Computational Neuroscience CNS*2004 (Baltimore, MD, July 21, 2004).
Plenary Talk: “Nonconvergent Neural Memories for Robust Encoding of Noisy Sensory Data,” at ANNIE’2003 Conference (November 2-5, 2003, St. Louis, MO).
Invited Talk: “Biologically Inspired Computing – Past, Present, & Future,” at Institute of Complex Systems (Kalamazoo, MI, October 13, 2003).
Panelist: “Biologically Inspired Computational Models,” Discussion Panel at IJCNN’03 (July 20-24, 2003, Portland, OR).
Tutorial Speaker: “Neuropercolation: Dynamical memory neural Networks – Biological Systems and Computer Implementations,” Tutorial at IJCNN’03 with W.J. Freeman (July 14, 2003, Portland, OR).
Special Track Organizer: “Temporal Aspects of Information Encoding in NNs,” Special Track with 3 sessions, co-organizer with Deliang Wang and Ali Minai, at IJCNN'03 (July 14-19, 2003, Portland, OR).
Workshop Organizer: “Nonlinear Spatio-temporal Neurodynamics,” organized with Peter Andras and Peter Erdi at Computational Neuroscience Conference CNS*2003 (July 4-8, 2003, Alicante, Spain).
Invited Talk: “Dynamical Cognitive Principles, Models, and Implementations,” at NSF Conference on Advanced Computation Inspired By Biological Processes (April 6-8, 2003, Arlington, VA).
Special Session Organizer: “Nonlinear Neurodynamics,” co-organized with Walter Freeman, at IJCNN'02 (May 11-15, 2002, Honolulu, HI).
Panelist: "Your Method is Connectionist Too", at World Congress on Computational Intelligence WCCI'02/IJCNN'02 (May 11-15, 2002, Honolulu, HI).
Special Session Organizer: “Noisy Chaotic Neural Networks for Information Storage and Retrieval,” at IEEE Int. Joint Conference on Neural Networks IJCNN2001 (July 24-27, 2000, Como, Italy).
Panelist: “Facing up to the 'AI Problem': Neural Networks and High-level Intelligence and Cognition,” Panel at IEEE International Joint Conference on Neural Networks (July 10-16, 1999, Washington DC).
Panelist: “Grand Challenges to Neural Networks Community,” Panel at IEEE World Congress on Computational Intelligence WCCI98 (May 5-9, 1998, Anchorage, AK).
Invited Session: “Integration of Hybrid Methods for Artificially Intelligent Neural Networks,” at IEEE World Congress on Computational Intelligence (May 5-9, 1998, Anchorage, AK).
Invited Session “Hybrid Connectionist Systems for Knowledge Monitoring,” at IEEE Int. Conf. Syst. Man Cybern. SMC'97 (October 12-15, 1997, Orlando, FL).
Special Session Organizer: “Knowledge Monitoring by Neuro-Fuzzy Methods,” at IEEE Int.Conf. Neural Networks, ICNN'97 (June 8-12, 1997, Houston, TX).
Invited Colloquium Talk: “Critical Role of Transient Dynamics in Brains, Cognition, Intelligent Robotics, and Emergency Response,” Applied Physics Laboratory, Johns Hopkins University, July 20, 2015, Baltimore, MD.
Invited talk: Criticality and noise in brains and reactors – Similarities and differences. Goteborg University, June 28, 2013, Sweden.
Invited Talk “Learning and Adaptation in Cellular Neural Networks,” Pazmany Peter University, Budapest, Hungary, September 10, 2009.
Invited Talk “Intentional Systems – Neural Principles, Modeling, and Robotic Implementations,” Seminar Talk at Biomedial Engineering Dept, The U of Memphis, February 27, 2009.
Featured Talk: Phase Transitions in the Auditory Cortex of Gerbils During Reinforcement Learning Indicating Strategy Change, 2014 NSF Collaborative Research on Computational Neurosciences (CRCNS) PI Meeting, October 16-18, 2014, Tempe, AZ, USA.
Invited Talk: Transient Dynamics of the Intentional Action-Prediction Cycle - Theory, Experiments & Applications, at NASA Jet Propulsion Laboratory, Division of Robot Autonomy, October 9, 2014, Pasadena, CA.
Talk at the Special Session “Optimal Estimation of Parameters of Transient Mixture Processes Using Dynamic Logic Approach,” Proc. Integration of Knowledge Intensive Multi-Agent Systems KIMAS 2007. , April 30-May 3, 2007, Waltham, MA,
| ACTIVITY | AGENCY/SOURCE | AMOUNT | PERIOD |
|---|---|---|---|
| Experimental and theoretical analysis of the interrelationship between cortical activity and respiratory rhythms | iRISE, UTHSC Collaborative Grant | $15,756 | 2015-2016 |
| Respiratory modulation of cortical activity | NSF Collaborative Research in Computational Neuroscience, joiuntly with UTHSC | $567,182 | 2016-2020 (pending) |
| US-German Collaboration on the Computational Neuroscience of Strategy Change in Cognitive Biological and Technical Systems [Awarded] | NSF DMS | $428,000 | 2013-2016 |
| Physical Intelligence, Phase II [Awarded] | DARPA DSO | $384,000 | 2011-2013 |
| Emergence of Near-critical Regularity in Brain Network Dynamics [Not Awarded] | AFOSR - Mathematics & Cognition Program | $375,791 | 2013-2016 |
| CIEDETS - Radar Imaging of Occluded Artefacts [Awarded] | MAV6 Inc. | $10,000 | 2012 |
| High-Performance Imaging: Collaboration Agreement between U of Memphis and AFRL Sensors Directorate [Equipment Awarded] | WPAFB, Sensors Directorate | $500,000 | 2011-2012 |
| Mathematical Models of Cognition and Decision Making [Awarded, unused] | AFOSR / Intergovernmental Personal Agreement (IPA) | $139,840 | 2012 |
| Distributed Sensing and Decision Systems [Funded] | Solid State Scientific | 95,047 | 2010-2011 |
| Neurodynamics of Perception and Cognition [Funded] | AFOSR/GDIT | $72,000 | 2008-2009 |
| Dynamic Logic for Information Fusion using Distributed and Multi-Modal Sensory Agents with Emergent Cognitive Behaviors (PI: R. Kozma) [Funded] | National Research Council, National Academies of Science and Engineering | $83,500 | 1/1/2007-8/30/2008 |
| Brain Network Dynamics (Co-PI: R. Kozma, PI: V. Menon/Stanford) [Funded] | NSF Cognitive and Behavioral Sciences Program | $49,900 | 1/1/2007- 5/30/2008 |
| EEG Analysis for Infant Preventive Medical Studies (G. Cashman, Director of Urban Child Institute, Project Director: R Kozma) [Not funded] | Clinical Translational Science Planning Grant (CTSI), through the Urban Child Institute | $300,000 | 2008-2009 |
| EFRI-COPN: Cognitive Optimization and Prediction via CNN Wave Computing Dynamics [Not Funded] | NSF 07-597 Emerging Frontiers in Research and Innovation | $ 2,000,000 | 2008-2012 |
| “Kinesis-Speech Driven Human-Robot Interface for Complex Robotic Tasks,” PI: M. Yeasin (UoM), Co-PI: R. Kozma, K. (UoM) [Not funded] | NSF | $896,000 | 2008-2011 |
| Collaborative Research: Distributed Intelligence in Control and Coordination of Mobile Multi-Robotic Systems [Not funded] | NSF | $497,000 | 2008-2011 |
| Large Scale Random Graphs Methods for Modeling Mesoscopic Behavior in Biological and Physical Systems (PI: Kozma, Co-PI: B Bollobas) [Funded] | NSF International Office, International Workshop Organization | $40,000 | 9/1/2005- 2/28/2007 |
| A Model Field Theory Based Approach to Emergent Intelligence Through Communication of Cognitive Agents with Evolving Intentional Dynamic Behaviors (PI: R Kozma) [Funded] | National Research Council, with US Air Force Research Laboratory, Sensors Directorate | $26,500 | 5/1/2006-8/30/2006 |
| Percolation models of spatio-temporal dynamics during sensory-induced phase transitions in the cortex (PI: R. Kozma, Co-PI: B. Bollobas, P. Balister) [Funded] | NSF, Quantum and Biologically Inspired Computing | $759,053 | 2/1/2002-6/30/2006 |
| Biologically Inspired Learning Methods for Machine Learning and User Modeling [Funded] | Sarnoff Corporation, Princeton, NJ | $24,500 | 05/01/2005-11/30/2005 |
| REU: Percolation models of spatio-temporal dynamics during sensory induced phase transitions in the cortex (PI: R Kozma) [Funded] | NSF REU : Research Experience for Undergraduates Program | $12,000 | 5/1/2005-6/30/2006 |
| Dynamical Approach to Behavior-Based Robot Control & Autonomy (PI: R. Kozma) not used [Funded] | NASA, through JPL Intelligent Robot Control Laboratory, Caltech, Pasadena, CA | $95,425 | 9/1/2006-8/30/2007 |
| SODAS Dynamic Approach for Robot Intelligence and Autonomy Applied to SRR Platform (PI: R Kozma) [Funded] | NASA/JPL Advanced Projects Office | $22,500 | 5/30/2005-9/15/2005 |
| SODAS: Models of Self-organizing Ontogenetic Development of Autonomous Agents (PI: R Kozma) [Funded] | NASA, Computing, Information and Communicating Technology CICT Program, Revolutionary Computation Project | $729,000 | 3/1/2001-9/30/2004 |
| Modeling of spatial and temporal dynamics in biological olfactory systems. (PI: J. Zurada, Consult: Kozma, 5%) [Funded] | ONR/DEPSCOR | $240,000 | 2001-2004 |
| Use of EEG Attractor Reconstruction to Analyze Nonlinear Brain Dynamics (Consult) [Funded] | ONR, Cognitive and Neural Sciences | $34,000 | 1999-2000 |
| Connectionist Based Intelligent Information Systems CBIIS (PI: N. Kasabov, Co-PI: R. Kozma) (moved from NZ)[Funded] | New Zealand Foundation for Research, Science and Technology FoRST | $1,440,000(NZ) | 1998-2002 |
| ACTIVITY | AGENCY/SOURCE | AMOUNT | PERIOD |
|---|---|---|---|
| Integrated Platforms and Algorithms of Multi-sensory Data Capture and Decision Support for Autonomous Vehicles | FedEx Institute of Technology, U of Memphis Foundation | $12,000 | 2016 |
| First Tennessee Enterpreneurship Award | First TN Foundation | $22,500 | 2011-2013 |
| CLION STC | U of Memphis | $205,000 | 2011-2013 |
| Complex Warfare Systems (CWS) | FedEx | $105,000 | 2010-2011 |
| Bionic Eye Recurrent Neural Network Training | UoM Foundation (L.Papasan) | $14,000 | 2008-2009 |
| Complex Warfare Systems | FIT, FedEx Foundation | $105,000 | 2008-2009 |
| Donovan University Professor | UoM, CAS Foundation | $15,000 | 2008-2011 |
| Biologically-Inspired Control and Navigation | Center of Advanced Robotics, FIT | $20,000 | 2007-2008 |
| Donovan Travel Award | Donovan Fundation, CAS, UoM | $500 | 2006 |
| PROJECT | PARTICIPANTS | PERIOD | SPONSORSHIP |
|---|---|---|---|
| Memphis Area Engineering and Science Conference MAESC | Local conference attendees | 2001-2002 | MAESC |
| Memphis Shelby County Science and Engineering Fair | High-school Students locally | 2001 | Shelby County |
| Symposium on Dynamics of Memory, Perception, Action | Memphis area and outside | 2001 | NASA |
| Symposium on Intentional Dynamic Systems IDS'04 | Invited Speakers and local attendees, students and researchers | 2004 | NSF, NASA |
| Collaboration with Lemoyne Owen College | LOC Dept. of Sciences & Math faculty and UG students; UoM CS CND Lab grad students and faculty | 2006-2008 | LOC Prof. M. Shafi, Chair of Sciences & Math and UoM Computational Neurodynamics Lab |
| Workshop on Intelligent Sensory Data Processing and Imaging in Dynamic Battlefield Scenarios | U of Memphis CS ECE faculty and Grad student, TSU faculty (Nashville), AFRL Wright Patterson AFB and Hanscom AFB officials | 2007 | US Air Force, FedEx Institute of Technology, UoM CS and ECE Departments |
| Radar Short Course | UoM CS and Engineering faculty and students (16) | January 23-24, 2009 | US Air Force Research Lab (guest lecturers) & FIT |
| Memphis High School Students CRESH Summer Intenship | C. Johnston, A. Canales, A., A. Padmanabha, | 2012, 2013 | UoM CRESH Organization |
| UNIVERSITY | COMMITTEE/ACTIVITY | PERIOD |
|---|---|---|
| Department MSCI | Graduate Committee | 2012-2014 |
| Department MSCI | T & P Committee | 2009-2013 |
| U of Memphis | Faculty Senate Member | 2009-2014 |
| Faculty Senate | Standing Committee of Research Policies | 2013-2014, 2015-2016 |
| Faculty Senate | Committee on Committees | 2013-2014, 2010-2011 |
| Faculty Senate | Standing Committee of Faculty Policies | 2012-2013 |
| Department/Division | Graduate Studies Committee; Colloquium & Travel Committee [C] Awards & Scholarships [C] Faculty Search Committee; Space and Equipments Comm. [C] Internship Coordinator, CS; Faculty Search Committee [C] Faculty Evaluation Committee [C] CS Space [C] | 2001-2005 2004-2005 2002-2007 2003-2007 2007-2008 |
| College/School | Member, College of Arts & Sciences Graduate Council, representative of the CS Division ; Member of A&S Dean’s Ad Hoc Committee on Multidisciplinary Studies; Funding Allocation Committee of Institute for Intelligent Systems [C]; | 2002-2005 2003-2004 2002-2004 2001-2002 |
| University | TMTA Mathematics Contest, Organizing Committee Member; Member, Provost’s Task Force on Internationalization; Member, Tenure and Promotion Appeals Committee; TAF Grant Evaluation Committee; Member, Teaching and Learning Advisory Committee (TLAC); | 2001, 2002; 2005-2006; 2006-2007; 2007; 2006-2008 |
| SOCIETY/ORGANIZATION/JOURNAL | COMMITTEE/EDITORIAL BOARD/OFFICE | PERIOD |
|---|---|---|
| International Neural Networks Society | President-Elect [C] | 2016, President (2017-2018) |
| IEEE Systems, Man, and Cybernetics Society | Board of Governors | 2016-2018 |
| IEEE Computational Intelligence Society | IEEE Fellows Nomination Committee | 2014 |
| IEEE Computational Intelligence Society | University Curriculum Committee [C] | 2012-2013 |
| International Neural Network Society INNS | Governor, Board of Governors | 2004-2009, 2010-2012 |
| IEEE Computational Intelligence Society | AdCom Advisory Committee | 2009-2012 |
| IEEE Computational Intelligence Society | Distinguished Lecturer Subcommittee [C] | 2010-2011 |
| IEEE Computational Intelligence Society | Technical Committee on Standards [C] | 2008, 2009 |
| IEEE Computational Intelligence Society | Committee Member, Neural Network Technical Committee (NNTC) | since 1986 |
| International Neural Networks Society | Chair of SIG Special Interest Groups | 2005-2008 |
| IEEE Transactions on Neural Networks | Associate Editor | 2005-2009 |
| Neurocomputing (Elsevier) | Associate Editor | since 2005 |
| New Mathematics & Natural Computation (World Scientific) | Area Editor, Board of Editors | since 2007 |
| Cognitive Neurodynamics (Springer) | Associate Editor | since 2006 |
| Neural Networks | Associate Editor | 2009- |
| Neural Networks Tri-Society Newsletters | Editor-In-Chief [C] | 2006-2008 |
| World Congress on Computational Intelligence | Tutorial chair [C] | 2013-2014 |
| IEEE Symposium Series on Computational Intelligence | Financial Chair [C] | 2013 |
| Int. Joint Conference on Neural Networks | Program Co-Chair [C] | 2012 |
| International Symposium on Aware Computing | General Co-Chair and Steering Committee Chair [C] | 2009-2013 |
| IEEE International Conferences on Neural Networks IJCNN | Program Committee Member | 1999, 2001, 2002, 2003, 2005, 2007 |
| IEEE IJCNN2004 | Program Co-Chair [C] | 2004 |
| IEEE World Congress on Computational Intelligence WCCI 2006 | Finance Chair [C] | 2006 |
| IEEE World Congress on Computational Intelligence WCCI 2008 | Program-Co-chair [C] | 2008 |
| IEEE/INNS International Joint Conference on Neural Networks, June 14-19, 2009, Atlanta, GA | General Chair [C] | 2007-2009 |
| Compuational Neuroscience Conferences CNS | Workshop Chair /Co-Chair [C] | 2001, 2002, 2003, 2004 |
| IEEE Systems, Man, & Cybernetics Conference | PC Member | 1997, 2005 |
| Int. Conference on Neural Information Processing ICONIP97 | Co-Chair of PC [C] | 1997 |
| Acta Biotheoretica (Kluwer) Autonomous Robots (Springer) Applied Energy Behavioral & Brain Sciences (Cambridge University Press) Brain Research Bulletin (Elsevier) Chaos – An Int. Journal (Inst. of Physics IOP) Chemical Engineering & Processing (Elsevier) Digital Signal Processing (Elsevier) Fuzzy Sets and Systems (North Holland) Hippocampus (Wiley) | Reviewer | ongoing |
| IEEE Computational Intelligence Magazine IEEE Transactions on Computers IEEE Transactions on Image Processing IEEE Transactions on Systems, Man, and Cybernetics IEEE Transactions on Evolutionary Computing IEEE Transactions on Knowledge Discovery & Engineering IEEE Signals Journal | Reviewer | ongoing |
| Int. J. Bifurcation and Chaos (World Scientific) Int. J. Intelligent Systems (Wiley) Int. J. Multiphase Flow (Pergamon Press) Information Science (Elsevier) Journal of Advanced Computational Intelligence (Japan) J. of Integrative Neuroscience (World Scientific) J. of Theoretical Biology (Elsevier) Neural Information Processing – Reviews (KAIST, Korea) Neural Processing Letters (Springer) Neuroscience (Elsevier) Neuroscience Research (Elsevier) Ocean Engineering (Elsevier) Physica A (Elsevier) Physica D (Elsevier) Physics Letters A (Elsevier) Physics of Life Reviews (Elsevier) Robotics and Autonomous Systems (Elsevier) | Reviewer | ongoing |
| ORGANIZATION/COMPANY | PERIOD |
| NASA Jet Propulsion Laboratory, Planetary Robotics Division, Caltech, Pasadena, CA | May-September, 2005 |
| Sarnoff Corporation, Adaptive Systems Group, Princeton, NJ | October-December, 2005 |
| US Air Force Research Laboratory, Sensors Directorate, Hanscom AFB, MA | 2006-2008 |
| Kozmos LLC | 2013-2016 |