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Janusz Starzyk

Emeritus Professor, Part-Time Retired
Electrical Engineering and Computer Science
STKR 347
starzykj@ohio.edu
Phone: 740.593.1580

http://www.ent.ohiou.edu/~starzyk/

Dr. Janusz A. Starzyk joined the School of Electrical Engineering and Computer Science in 1983 after serving as an assistant professor at the Warsaw University of Technology in Warsaw, Poland, and post-doctoral fellow and research engineer at McMaster University in Hamilton, Canada. He has cooperated with the National Institute of Standards and Technology. He has been a consultant to ATT Bell Laboratories, Sarnoff Research, Sverdrup Technology, Magnolia Broadband, and Magnetek Corp. In 1991 he was a visiting professor at University of Florence, Italy. He was a visiting researcher at Redstone Arsenal - U.S. Army Test, Measurement, and Diagnostic Activity and at Wright Labs - Advanced Systems Research and ATR Technology Development.

He is an author or a co-author of over 170 refereed journal and conference papers. Since 1993, he is the president of Artificial Neural Systems incorporated in Ohio. His current research is in the areas of embodied intelligence, sparse hierarchically organized spatio-temporal memories, self-organizing learning machines, and neural networks.


Research Interests: Electrical Engineering & Computer Science, Embodied Intelligence, Computational Intelligence, Machine Learning, Natural Language Processing, Robotics and Virtual Agents Design, Design and Application of Neural Networks, VLSI/VHDL Design and Testing

All Degrees Earned: Ph.D., Electrical Engineering, Warsaw University of Technology, 1976.

Other (2)

  • Hamed, H., Kaya, S., Starzyk, J. Compact Tunable Current-Mode Analog Circuits Using DG-MOSFETs. Niagara Falls, NY: 2006 IEEE Int. SOI Conference.
  • Kaya, S., Hamed, H., Starzyk, J. Low-Power Tuneable Analog Circuit Blocks Based on Nanoscale Dual-Gate MOSFETs. Cincinnati, OH: 6th IEEE Conference on Nanotechnology.

Journal Article, Professional Journal (65)

  • Nguyen, V., Starzyk, J., Goh, W. A Spatio-temporal Long-term Memory Approach for Visual Place Recognition in Mobile Robotic Navigation. Elsevier: Robotics and Autonomous Systems.
  • Wang, W., Subagdia, B., Tan, A., Starzyk, J. Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting. 10. IEEE Trans on Neural Networks and Learning Systems; 23: 1574-1586.
  • Nguyen, V., Starzyk, J., Goh, W., Jachyra, D. Neural Network Structure for Spatio-Temporal Long-Term Memory. 6. IEEE Trans on Neural Networks and Learning Systems; 23.
  • Huang, T., Li, C., Duan, S., Starzyk, J. Robust exponential stability of uncertain delayed neural networks with stochastic perturbation and impulse effects. 6. IEEE Trans on Neural Networks and Learning Systems; 23: 866 – 875.
  • Starzyk, J., Graham, J., Raif, P., Tan, A. Motivated Learning for the Development of Autonomous Systems. 1. Cognitive Systems Research; 14: 10-25.
  • Moghadam, P., Starzyk, J., Wijesoma, W. Fast Vanishing Point Detection in Unstructured Environments. 1. IEEE Trans. on Image Processing; 21.
  • Starzyk, J., , . A Computational Model of Machine Consciousness. 2. World Scientific Journals: International Journal of Machine Consciousness; 3: 1-27. http://www.worldscinet.com/ijmc/mkt/archive.shtml?2011&3.
  • Feng, J., Qiu, W., Starzyk, J. Risk Assessment of Credit Card Application Based on Self-organizing Learning Array (SOLAR). 6. Industrial Engineering Journal; 13: 71-75.
  • Starzyk, J., Graham, J., Raif, P., Tan, A. Motivated Learning for Development of Autonomous Systems. Cognitive Systems Research; 1.
  • He, H., Shen, X., Starzyk, J. Power Quality Disturbances Analysis Based on EDMRA Method. 5. Int. Journal of Electrical Power & Energy Systems; 31.
  • Starzyk, J., He, H. Spatio-Temporal Memories for Machine Learning: A Long-Term Memory Organization. 5. IEEE Trans. on Neural Networks; 20: 768-780.
  • Liu, Y., Starzyk, J., Zhu, Z. Optimized Approximation Algorithm in Neural Network without Overfitting. 4. IEEE Trans. on Neural Networks; 19: 983-995.
  • Zhu, Z., Van Graas, F., Starzyk, J. GPS Signal Acquisition Using the Repeatability of Successive Code Phase Measurements. 1. GPS Solutions, Springer Berlin/Heidelberg; 12.
  • Starzyk, J., He, H., Li, Y. A Hierarchical Self-organizing Associative Memory for Machine Learning. Lecture Notes in Computer Science; 4491: 413-423.
  • Starzyk, J., Ding, M., Liu, Y. Hybrid Pipeline Structure for Self-Organizing Learning Array. Lecture Notes in Computer Science.
  • He, H., Starzyk, J. Online Dynamic Value System for Machine Learning. Lecture Notes in Computer Science; 4491: 441-448.
  • Starzyk, J., Liu, Y., Vogel, D. Sparse Coding in Sparse Winner Networks. Lecture Notes in Computer Science; 4492: 534-541.
  • Kaya, S., Hamed, H., Starzyk, J. Low-Power Tunable Analog Circuit Blocks Based on Nanoscale Double-Gate MOSFETs. 7. IEEE Trans. Circuits Syst. II; 54: 571-575.
  • Zhu, Z., Van Graas, F., Starzyk, J. GPS signal acquisition using the repeatability of successive code phase measurements. GPS Solutions, Springer.
  • Starzyk, J., He, H. Anticipation-Based Temporal Sequences Learning in Hierarchical Structure. 2. IEEE Trans. on Neural Networks; 18: 344-358.
  • Zhu, Z., He, H., Starzyk, J., Tseng, C. Self-Organizing Learning Array and its Application to Economic and Financial Problems. 5. Elsevier Science, Information Sciences; 177: 1180-1192.
  • Starzyk, J., He, H. A Novel Low Power Logic Circuit Design Scheme. 2. IEEE Trans. Circuits Syst. II; 54: 176-180.
  • Starzyk, J., Zhu, Z., Li, Y. Associative Learning in Hierarchical Self Organizing Learning Arrays. 6. IEEE Trans. Neural Networks; 17: 1460-1470.
  • He, H., Starzyk, J. A Self Organizing Learning Array System for Power Quality Classification based on Wavelet Transform. IEEE Trans. on Power Delivery.
  • Starzyk, J., Zhu, Z., Liu, Y. Associative Learning in Hierarchical Self Organizing Learning Arrays. Artificial Neural Networks: Biological Inspirations, Lecture Notes in Computer Science; 3696: 91-96.
  • Starzyk, J., Li, Y., Vogel, D. Neural Network with Memory and Cognitive Functions. Artificial Neural Networks: Biological Inspirations. Lecture Notes in Computer Science; 3696: 85-90.
  • Starzyk, J., Zhu, Z., Liu, T. Self-Organizing Learning Array. 2. IEEE Trans. on Neural Networks; 16: 355-363.
  • Starzyk, J., Liu, D., Liu, Z., Nelson, D., Rutkowski, J. Entropy-based optimum test points selection for analog fault dictionary techniques. 3. IEEE Transactions on Instrumentation and Measurement; 53: 754-761.
  • Starzyk, J., Wang, F. Dynamic Probability Estimator for Machine Learning. 2. IEEE Trans. on Neural Networks; 15: 298-308.
  • Starzyk, J., Mohn, R., Jing, L. A Cost-Effective Approach to the Design and Layout of a 14-b Current-Steering DAC Macrocell. 1. IEEE Trans. on Circuits and Systems I: Fundamental Theory and Applications; 51: 196-200.
  • Pang, J., Van Graas, F., Starzyk, J. Fast Direct GPS P-Code Acquisition. 3. GPS Solutions, Springer-Verlag Heidelberg; 7.
  • Nelson, D., Starzyk, J., Ensley, D. Iterated wavelet transformation and signal discrimination for HRR radar target recognition. 1. IEEE Trans. on Systems, Man and Cybernetics, Part A; 33: 52-57.
  • Liu, D., Starzyk, J. A generalized fault diagnosis in dynamic analog circuits. Int. Journal of Circuit Theory and Applications; 30: 487-510.
  • Nelson, D., Starzyk, J., Ensley, D. Iterative Wavelet Transformation and Signal Discrimination for HRR Radar Target Recognition. 2. Multidimensional Systems and Signal Processing; 14.
  • Becker, J., Alsolaim, A., Glesner, M., Starzyk, J. A Parallel Dynamically Reconfigurable Architecture for Flexible Aplication-Tailored Hardware/Software Systems in Future Mobile Communication. The Journal of Supercomputing, Erratum; 23.
  • Pang, J., Starzyk, J. Fault Diagnosis in Mixed-Signal Low Testability System. 2. An Int. Journal of Analog Integrated Circuits and Signal Processing; 28: 159-170.
  • Stenbakken, G., Liu, D., Starzyk, J., Waltrip, B. Nonrandom Quatization Errors in Timebases. 4. IEEE Trans. on Instrumentation and Measurement; 50: 888-892.
  • Starzyk, J., Jan, Y., Qiu, F. A DC-DC Charge Pump Based on Voltage Doublers. 3. IEEE Trans. Circuits and Systems, Part I; 48: 350-359.
  • Starzyk, J., Pang, J., Manetti, S., Fedi, G., Piccirilli, C. Finding Ambiguity Groups in Low Testability Analog Circuits. 8. IEEE Trans. Circuits and Systems, Part I; 47: 1125-1137.
  • Starzyk, J., Nelson, D., Sturtz, K. A Mathematical Foundation for Improved Reduct Generation in Information Systems. 2. Journal of Knowledge and Information Systems; 2: 131-146.
  • Fedi, G., Manetti, S., Starzyk, J., Piccirilli, M. Determination of an Optimum Set of Testable Components in the Fault Diagnosis of Analog Circuits. 7. IEEE Trans. Circuits and Systems, Part I; 46: 779-787.
  • Starzyk, J., Nelson, D., Sturtz, K. Reduct Generation in Information Systems. Bulletin of International Rough Set Society; 3 (1/2).
  • Starzyk, J. Hierarchical Analysis of High Frequency Interconnect Networks. 5. IEEE Trans. on Computer Aided Design of Integrated Circuits and Systems; 13: 658-664.
  • Starzyk, J., Fang, X. A CMOS Current Mode Winner-Take-All Circuit with both Excitatory and Inhibitory Feedback. Electronics Letters.
  • Starzyk, J., Dai, H. A Decomposition Approach for Testing Large Analog Networks. 3. Journal of Electronic Testing - Theory and Applications; 181-195.
  • Stenbakken, G., Starzyk, J. Diakoptic and Large Change Sensitivity Analysis. 1. IEE Proc. G, Circuits, Devices and Systems; 139: 114-118.
  • Starzyk, J., Konczykowska, A. Flowgraph Analysis of Large Electronic Networks. IEEE Trans. on Circuits and Systems; CAS-33.
  • Salama, E., Starzyk, J., Bandler, J. A Unified Decomposition Approach for Fault Location in Large Analog Circuits. IEEE Trans. on Circuits and Systems; CAS-31: 609-622.
  • Starzyk, J., Biernacki, R., Bandler, J. Evaluation of Faulty Elements within Linear Subnetworks. Int. Journal of Circuit Theory and Applications; 12: 23-37.
  • Starzyk, J., Sliwa, E. Upward Topological Analysis of Large Circuits Using Directed Graph Representation. IEEE Trans. on Circuits and Systems; CAS-31: 410-414.
  • Starzyk, J., Bandler, J. Multiport Approach to Multiple-Fault Location in Analog Circuits. IEEE Trans. on Circuits and Systems; CAS-30: 762-765.
  • Starzyk, J. An Efficient Cluster Algorithm. Acta Polytechnica, CVUT, Praha; 49-55.
  • Starzyk, J., Sliwa, E. Hierarchic Decomposition Method for the Topological Analysis of Electronic Networks. Int. Journal of Circuit Theory and Applications; 8: 407-417.
  • Centkowski, G., Starzyk, J. Topological Synthesis of LLF Networks. Acta Polytechnica, CVUT, Praha; 77-86.
  • Starzyk, J. Signal Flow-Graph Analysis by Decomposition Method. 2. IEE Proc. on Electronic Circuits and Systems; 81-86.
  • Starzyk, J. Generation of Complete Trees by the Method of Modified Structural Matrix. 4. Arch. Elektrot.; 843-852.
  • Starzyk, J. Application of the Controlled Expansions Method to the Topological Analysis of Circuits. z.1. Arch. Elektrot.; 47-58.
  • Starzyk, J. Determination of the Nullator-Norator Graph's Complete Trees. t.XX 12. Radio Electronics and Communication Systems; 9-15.
  • Starzyk, J. New Method for Designing Complete Trees of a Pair of Conjugate Graphs. z.1. Arch. Elektrot.; 41-46.
  • Starzyk, J., Wojciechowski, J. Topological Analysis and Synthesis of Electrical Networks by the Method of Structural Numbers. Warszawa: Raport Naukowy IPE.
  • Starzyk, J. Topological Synthesis of Linear Active Networks Described by Multivariable Functions. z.2. Arch. Elektrot.; 287-295.
  • Starzyk, J. Complement of Columns of Constant-row Structural Number to the Factorizable Number. z.2. Arch. Elektrot.; 237-244.
  • Konczykowska, ., Starzyk, J. Determination of Structural Number of a Partitioned Graph. Part I and II. z.2. Arch. Elektrot; 245-262.
  • Starzyk, J. Topological Methods of Analysis of LSL Networks with Nullators and Norators. 20. Warszawa: Prace Naukowe PW, Elektronika; 73-89.
  • Starzyk, J. Topological, Analysis of LSL Networks with Nullators and Norators; Impedance Dependencies. 20. Warszawa: Prace Naukowe PW, Elektronika; 61-71.

Conference Proceeding (42)

  • Xu, X., Graham, J., , B., Zhu, J., Starzyk, J., Zhang, P. A Biopsychically Inspired Cognitive System for Intelligent Entomopters. AIAA Infotech @Aerospace 2012 Conference.
  • Nguyen, V., Starzyk, J., Goh, W. Sequence Recognition with Spatio-Temporal Long-Term Memory Organization. Brisbane, Australia: Int. Joint Conf. on Neural Networks.
  • Basawaraj, ., Starzyk, J., Jaszuk, M. A Question Answer Approach to Building Semantic Memory. Zakopane: 11th Int. Conf. on Artificial Intelligence and Soft Computing.
  • Graham, J., Starzyk, J., Jachyra, D. Opportunistic Motivated Learning Agents. Zakopane: 11th Int. Conf. on Artificial Intelligence and Soft Computing; 442-449.
  • Carpenter, S., Yu, X., Altun, M., Graham, J., Zhu, J., Starzyk, J. Vision Guided Motion Control of a Biomimetic Elastic Cable Driven Quadruped Robot -The RoboCat. Denver, CO: IMECE, Int. Mechanical Engineering Congress.
  • Starzyk, J. Mental Saccades in Control of Cognitive Process. San Jose, CA: Int. Joint Conf. on Neural Networks.
  • Starzyk, J. Motivated Learning in Autonomous Systems. San Jose, CA: Int. Joint Conf. on Neural Networks.
  • Prasad, D., Starzyk, J. A Perspective on Machine Consciousness. Lisboa: Second International Conference on Advanced Cognitive Technologies and Applications.
  • Prasad, D., Starzyk, J. Object detection and representation in motivated conscious machines. Singapore: Decade of the Mind – VI.
  • Wang, W., Subagdja, B., Tan, A., Starzyk, J. A Self-Organizing Approach to Episodic Memory Modeling. Barcelona: The 2010 IEEE World Congress on Computational Intelligence.
  • Starzyk, J., Raif, P., Tan, A. Mental Development and Representation Building through Motivated Learning. Barcelona: The 2010 IEEE World Congress on Computational Intelligence.
  • Nguyen, V., Starzyk, J. Spatio-Temporal Sequence Learning of Visual Place Cells for Robotic Navigation. Barcelona: The 2010 IEEE World Congress on Computational Intelligence.
  • Starzyk, J. Water Resource Planning and Management using Motivated Machine Learning. Paris: 10th Kovacs Colloquium UNESCO.
  • Starzyk, J., Prasad, D. Machine Consciousness: A Computational Model. Madrid: Third International ICSC Symposium on Models of Consciousness.
  • Starzyk, J., Raif, P., Tan, A. Motivated Learning as an Extension of Reinforcement Learning. Zurich: 4th International Conference on Cognitive Systems.
  • Elmisery, F., Starzyk, J. A neural network based on sequence learning for speech recognition. Cairo, Egypt: ICCES 2008. International Conference on Computer Engineering & Systems; 139-142.
  • Alaqeeli, A., Starzyk, J., Van Graas, F. Real-Time Acquisition and Tracking for GPS Receivers. Bangkok, Thailand: 2003 IEEE International Symposium on Circuits and Systems (ISCAS 2003).
  • Starzyk, J., Liu, D. Multiple Fault Diagnosis of Analog Circuits by Locating Ambiguity Groups in Test Equation. Sydney, Australia: Proc. IEEE Int. Symp. Circuits and Systems; 5: 199 - 202.
  • Starzyk, J., Liu, D. A Method for Multiple Fault Diagnosis in Analog Circuits. Athens, OH: Proc. Southeastern Symposium on System Theory; 65 - 68.
  • Zhou, Q., Chelberg, D., Zeng, Y., Starzyk, J. Robust Optical Flow Estimation Using Invariant Feature. Athens, OH: Proc. Southeastern Symp. on System Theory; 263 – 267.
  • Nelson, D., Starzyk, J. Fusing Marginal Reducts for HRR Target Identification. Orlando, Florida: 4th World Multi-Conference on Systems, Cybernetics and Informatics (SCI2000); 452-460.
  • Starzyk, J. Decomposition Approach to a VLSI Symbolic Layout with Mixed Constraints. Montreal: Proc. IEEE Int. Symp. Circuits and Systems; 457-460.
  • Starzyk, J., Bandler, J. Design of Tests for Parameter Evaluation within Remote Inaccessible Faulty Subnetworks. Newport Beach, CA: Proc. IEEE Int. Symp. Circuits and Systems; 1106-1109.
  • Gupta, H., Bandler, J., Starzyk, J., Sharma, J. A Hierarchical Decomposition Approach for Network Analysis. Rome: Proc. IEEE Int. Symp. Circuits and Systems; 643-646.
  • Bandler, J., Biernacki, R., Salama, A., Starzyk, J. Fault Isolation in Linear Analog Circuits Using the Ll Norm. Rome: Proc. IEEE Int. Symp. Circuits and Systems; 1140-1143.
  • Starzyk, J., Bandler, J. Nodal Approach to Multiple-Fault Location in Analog Circuits. Rome: Proc. IEEE Int. Symp. Circuits and Systems; 1136-1139.
  • Biernacki, R., Starzyk, J. A Test Generation Algorithm for Parameter Identification of Analog Circuits. The Hague: Proc. European Conf. Circuit Theory and Design; 993-997.
  • Konczykowska, ., Starzyk, J. Computer Justification of Upward Topological Analysis of Signal-Flow Graphs. The Hague: Proc. European Conf. Circuit Theory and Design; 464-467.
  • Centkowski, G., Starzyk, J., Sliwa, E. Symbolic Analysis of Large LLS Networks by Means of Upward Hierarchical Analysis. The Hague: Proc. European Conf. Circuit Theory and Design; 358-361.
  • Konczykowska, ., Starzyk, J. Computer Analysis of Large Signal Flowgraphs by Hierarchical Decomposition Method. Warsaw: Proc. European Conf. Circuit Theory and Design; 408-413.
  • Centkowski, G., Starzyk, J., Sliwa, E. Computer Implementation of Topological Methods in the Analysis of Large Networks. Warsaw: Proc. European Conf. Circuit Theory and Design; 69-74.
  • Biernacki, R., Starzyk, J. Sufficient Test Conditions for Parameter Identification of Analog Circuits Based on Voltage Measurements. Warsaw: Proc. European Conf. Circuit Theory and Design; 233-241.
  • Starzyk, J. Advanced Topological Analysis. Bocheniec: Proc. of 4th Polish-Czech Workshop on Circuit Theory; 90-94.
  • Starzyk, J., Konczykowska, A. Hierarchical Decomposition of Signal-Flow Graphs. Prague: Third Int. Conf. Electronic Circuits; 248-251.
  • Starzyk, J., Sliwa, E. Topological Analysis by Hierarchic Decomposition Method. Ljubljana: Fourth Int. Symp. on Network Theory; 155-160.
  • Starzyk, J. Topological Synthesis of Linear Network with Grounded Operational Amplifiers. Czarlino: Proc. of 2nd Polish-Czech Workshop on Circuit Theory; 201-206.
  • Starzyk, J. Edge Orientation in Topological Synthesis of Linear Networks. Podlesice: Fifth Symp. Mathematical Methods in Electrical Engineering; 169-179.
  • Starzyk, J. Selected Topics in Topological Synthesis of Networks by the Method of Structural Numbers. Warsaw: Symp. for XXV Anniversary of Electrical Engineering Dept.; 116-117.
  • Starzyk, J. Topological Synthesis of Linear Active Networks with the Method of Structural Numbers. Genova: Proc. European Conf. Circuit Theory and Design; 340-348.
  • Starzyk, J. Problems in Topological Analysis. Warsaw: First National Conf. URSI; 250-252.
  • Starzyk, J. Topological Synthesis of Multivariable Network Functions. Split: Third Int. Symp. on Network Theory; 555-564.
  • Starzyk, J. Complement of Set of Trees. Pacific Grove: Eight Asilomar Conf. Circuits, Systems and Computers; 227-230.

Book, Non-Scholarly (4)

  • Starzyk, J. Topological Analysis and Diagnosis of Analog Circuits. Wydawnictwa Politechniki Slaskiej; 140.
  • Starzyk, J. Advances in Circuits and Systems - Selected Papers on Analog Fault Diagnosis. New York: IEEE Press.
  • Starzyk, J., Chua, L., Lin, P. Computer aided analysis of electronic circuits, algorithms and computational techniques. Warszawa: Wydawnictwa Naukowo Techniczne.
  • Starzyk, J. Topological Analysis of Large Electronic Circuits. WPW, Warszawa: Prace Naukowe, Elektronika, WPW; 55: 184.

Book, Chapter in Scholarly Book (2)

  • Starzyk, J. Motivated Learning for Computational Intelligence, in Computational Modeling and Simulation of Intellect: Current State and Future Perspectives. B. Igelnik, IGI Publishing.
  • Starzyk, J., Liu, Y., Batog, S. A Novel Optimization Algorithm Based on Reinforcement Learning. Springer Verlag; 27-49.

Journal Article, Academic Journal (1)

  • Hamed, H., Kaya, S., Starzyk, J., Analog, J. Use of nano-scale double-gate MOSFETs in low-power tunable current mode analog circuits. Integr. Circ. & Sig. Process; 54: 211.

Book, Chapter in Non-Scholarly Book (3)

  • Starzyk, J. "Motivation in Embodied Intelligence" in Frontiers in Robotics, Automation and Control. Austria: I-Tech Education and Publishing; 83-110.
  • Starzyk, J., El-Gamal, A. "Fault Location by Nodal Equations" in Analog Methods for Circuit Analysis and Diagnosis. New York: Marcel Dekker, Inc.
  • Starzyk, J. Introduction to Computer Design and Analysis of Electronic Networks. Warszawa: Wydawnictwa PW.

Patents

  • Starzyk, J., Nelson, D. System and method for identifying an object. 7,308,378.
  • Starzyk, J. Self-Organizing Data-Driven Learning Hardware with Local Interconnections. 7,293,002 B2.
  • Starzyk, J. Method and System of Goal Creation for Machine Intelligence. Air Force invention number AFD 983.
  • Starzyk, J., Nelson, D. Object Identification System and Method. 7,035,754.
  • Starzyk, J., Mohn, R., Senko, T. Algorithm for the Reduction of Systematic Errors in Current Steering DAC. 20030227402.
  • Starzyk, J. Dynamic Probability Estimator for Self-Organizing Data-Driven Learning Hardware.