rod goodman

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Rodney M. Goodman B.Sc., Ph.D., C.Eng., FIEE, FIEEE.

Online Publications:

journal papers

46. O. Holland, and R. Goodman, “ Robots with Internal Models: A Route to Machine Consciousness? ,” Journal of Consciousness Studies, Special Issue on Machine Consciousness,  Vol. 10, No. 4-5, pp. 77-109, April/May 2003.
45. C. Daniell, A. Mahalanobis, and R. Goodman, “ Object Recognition in Subband Transform Compressed Images Using Correlation Filters,” Applied Optics-Information Processing,  Vol. 42, Issue 32, pp. 6474-6487, November 2003.
44. A.T. Hayes, A.  Martinoli, and R.M.Goodman, “ Swarm Robotic Odor Localization: Off-Line Optimization and Validation with Real Robots,” Robotica, Special issue on Biological Robotics, Vol. 21, No. 4, pp. 427-441, August 2003.
43. A.T. Hayes, A.  Martinoli, and R.M.Goodman, “ Distributed Odor Source Localization,” IEEE Sensors Journal, Special Issue on Electronic Nose Technologies, Vol. 2, No. 3, pp. 260-217, June 2002.
42. V. F. Koosh, and R.M. Goodman, “ Analog VLSI Neural Network with Digital Perturbative Learning,” IEEE Transactions on Circuits and Systems II, Vol. 49, No. 5, pp. 359-368, May 2002.
41. S. Kazadi, A.Abdul-Khaliq, R. Goodman, “ On the Convergence of Puck Clustering Systems,” Robotics and Autonomous Systems, 38 (2), pp. 93-117, 2002.
40. S. Kazadi, R. Goodman, D.Tsikata, and H. Lin,  “An Autonomous Water Vapor Plume Tracking Robot Using Passive Resistive Polymer Sensors,” Autonomous Robots, Vol. 9, No. 2, pp. 175-188, 2000.
39. Lee, C., Kim, J., Babcock, D., and Goodman, R. “ Application of Neural Network to Turbulence Control for Drag Reduction, ” Phys. Fluids, Vol.9, pp. 1740-1747, 1997.
38. B. Gupta, R. Goodman, F. Jiang, Y-C. Tai, S. Tung, C-M, Ho, “ Analog VLSI System for Active Drag Reduction ,” IEEE Micro, Vol. 16, No. 5, pp. 53-59, October 1996.
37. B.E. Ambrose and R.M. Goodman, “ Neural Networks Applied to Traffic Management in Telephone Networks,” Proceedings of the IEEE, Vol. 84, No. 10, pp. 1421-1430, October 1996.
36. G.Erten and R.M. Goodman, “ Analog VLSI Implementation for Stereo Correspondence Between 2-D Images ,” IEEE Transactions on Neural Networks, Vol. 7, No. 2, pp. 266-277, March 1996
35. R.M. Goodman and B.E. Ambrose, “ Stability of Traffic Patterns in Broadband Networks , ” Journal of Network and Systems Management, Special Issue on Routing in Broadband Networks, Vol. 3, No. 4, pp. 371-380, December 1995.
34. Z. Zeng, R.M. Goodman P. Smyth, “ Discrete Recurrent Neural Networks for Grammatical Inference, ” IEEE Transactions on Neural Networks, Special Issue on Dynamic Recurrent Neural Networks: Theory and Applications, Vol. 5, No. 2, pp. 320-330, March 1994.
33. C.M. Higgins and R.M. Goodman, “ Fuzzy Rule-Based Networks for Control,” IEEE Transactions on Fuzzy Systems, Vol. 2, No. 1, pp. 82-88, February 1994.
32. H. Greenspan and R.M. Goodman, R. Chillappa, C. Anderson, “ Learning Texture Discrimination Rules in a Multiresolution System,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue on Learning in Computer Vision, Vol. 16, No. 9, pp. 894-901, September 1994.
31. Z. Zeng, R.M. Goodman and P. Smyth, “ Learning Finite State Machines with Self-Clustering Recurrent Networks,” Neural Computation, Vol. 5, No.6, pp. 976-990, November 1993.
30. J. W. Miller, R.M. Goodman and P. Smyth, “ On Loss Functions which Minimize to Conditional Expected Values and Posterior Probabilities,” IEEE Transactions on Information Theory, Vol. 39, No. 4, pp. 1404-1408, July 1993.
29. R. M. Goodman and P. Smyth, “ Automated Induction of Rule-Based Neural Networks from Databases,” International Journal of Intelligent Systems in Accounting, Finance and Management, Special Issue on Neural Networks, Vol. 2, No. 1, pp. 41-54, 1993.
28. R.M. Goodman, R.J. McEliece and M. Sayano, “ Phased Burst Error Correcting Array Codes,” IEEE Transactions on Information Theory, Vol. 39, No. 2, pp. 684-693, March 1993.
27. R.M. Goodman, P. Smyth, C.M. Higgins & J. Miller, “ Rule-Based Neural Networks for Classification and Probability Estimation,” Neural Computation , Vol. 4, No. 6, pp. 781-804, November 1992.
26. P. Smyth and R.M. Goodman, “ An Information Theoretic Approach to Rule Induction from Databases,” IEEE Transactions on Knowledge and Data Engineering , Vol. 4, No. 4, pp. 301-316, August 1992.
25. R.M. Goodman and M. Sayano, “ The Reliability of Semiconductor RAM Memories with On-Chip Error Correction Coding,” IEEE Transactions on Information Theory, Special Issue on Coding for Storage Devices, Vol. 37, No. 3, pp. 884-896, May 1991.
24. A. Moore, J. Allman and R. Goodman, “ A Real-time Neural System for Color Constancy ,” IEEE Transactions on Neural Networks, Vol. 2, No. 2, pp. 237-247, March 1991.
23. T. Chiueh and R.M. Goodman, “ Recurrent Correlation Associative Memories,” IEEE Transactions on Neural Networks . Vol. 2, No. 2, pp. 275-284, March 1991.
22. T. Chiueh, R.M. Goodman and M. Sayano, “ A Static RAM Chip with On-Chip Error Correction ," IEEE Journal of Solid-State Circuits, Vol. 25, No. 5, pp. 1290-1294, October 1990.
21. R.M. Goodman and M. Sayano, “ Size Limits on Phased Burst Error Correcting Array Codes ," Electronics Letters, Vol. 26, No. 1, pp. 55-56, January 1990.
20. J.T. Coffey, R.M. Goodman, and P.G. Farrell, “ New Approaches to Reduced-Complexity Decoding ,” Discrete Applied Mathematics, Vol. 33, pp. 43-60, 1991.
19. R.M. Goodman and P. Smyth, “ Decision Tree Design Using Information Theory,” Knowledge Acquisition, Vol. 4, No. 1, pp. 1-26, 1990.
18. J.T. Coffey and R.M.F. Goodman, “ The Complexity of Information Set Decoding,” IEEE Transactions on Information Theory, Vol. 36, No. 5, pp. 1031-1037, September 1990.
17. J.T. Coffey and R.M.F. Goodman, “ Any Code of Which we Cannot Think is Good,” IEEE Transactions on Information Theory, Vol. 36, No. 6, pp. 1453-1461, November 1990.
16. R.M. Goodman, P. Smyth, and Hayes Latin, “ Real Time Autonomous Expert Systems in Network Management,” Office: Technology & People, Vol. 5, No. 3, pp. 205-228, 1989.
15. R.M. Goodman and A.J. McAuley, “ An Arithmetic-Stack Processor for High Level Language Execution ,” Journal of Forth Applications & Research, Vol. 5, No. 4, pp. 469-492, 1989.
14. R.M.F. Goodman and P. Smyth, “ Decision Tree Design from a Communication Theory Standpoint ,” IEEE Transactions on Information Theory, Vol. 34, No. 5, pp. 979-994, September 1988
13. M. Blaum, R.M.F. Goodman and R.J. McEliece, “ The Reliability of Single-Error Protected Computer Memories,” IEEE Transactions on Computers, Vol. 37, No. 1, pp. 114-119, January 1988.
12. T. Fuja, C. Heegard and R.M. Goodman, “ Linear Sum Codes for Random Access Memories ”IEEE Transactions on Computers, Vol. 37, No. 9, pp. 1030-1042, September 1988.
11. R.M.F. Goodman and A.J. McAuley, “ New Trapdoor-Knapsack Public-Key Cryptosystem,” Proceedings of the IEE, Vol. 132, Pt. E, No. 6, pp. 289-292, November 1985.
10 R.M.F. Goodman and R.J. McEliece, “ Lifetime Analyses of Error-Control Coded Semiconductor RAM Systems,” Proceedings of the IEE, Vol. 129, Pt. E, No. 3, pp. 81-85, May 1982.
9 R.M.F. Goodman, G.E. Taylor, and A.F.T. Winfield, “ An Advanced Electronics Teaching Laboratory,” International Journal on Electrical Engineering Education, Vol. 19, pp. 357-366, 1982.
8. M. Kilvington and R.M.F. Goodman, “ In Vivo Hip Joint Forces Recorded on a Strain Gauged “English” Prosthesis using an Implanted Transmitter,” Engineering in Medicine, Vol. 10, No. 4, pp. 175-187, 1981.
7. R.M.F. Goodman, C. Eng and A.F.T. Winfield, “ Soft-Decision Minimum Distance Sequential Decoding Algorithm for Convolutional Codes,” Proceedings of the IEE, Vol. 128, Pt. F, No. 3, pp. 179-186, June 1981.
6. P.G. Farrell and R.M.F. Goodman, “ Soft-Decision Error Control Coding for HF Data Transmission,” Proceedings of the IEE, Vol. 127, Pt. F, No. 5, pp. 389-399, October 1980.
5. R.M.F. Goodman, “ Soft-Decision Decoding of the Teletext Character Code,” Electronics Letters, Vol. 15, No. 4, pp. 108-109, February 1979.
4. W.H. Ng and R.M.F. Goodman, “ Analysis of the Computational and Storage Requirements for the Minimum-Distance Decoding of Convolutional Codes,” Proceedings of the IEE, Vol. 126, No. 1, pp. 29-34, January 1979.
3. W.H. Ng and R.M.F. Goodman, “ An Efficient Minimum Distance Decoding Algorithm for Convolutional Error-Correcting Codes,” Proceedings of the IEE, Vol. 125, No. 2, pp. 97-103, February 1978.  
2. R.M.F. Goodman and P.G. Farrell, “ Data Transmission with Variable-Redundancy Error Control over a High-Frequency Channel,” Proceedings of the IEE, Vol. 122, No. 2, pp. 113-118, February 1975.
1. R.M.F. Goodman, “ Binary Codes with Disjoint Codebooks and Mutual Hamming Distance,” Electronics Letters, Vol. 10, No. 18, pp. 390-391, September 1974.
Book Chapters
13. V. Koosh, B. Gupta, D. Babcock, R. Goodman, F. Jiang, Y-C. Tai, S. Tung and C-M. Ho, “ Analog VLSI Systems for Drag Reduction ” in Learning on Silicon, G. Cauwenberghs and M.A. Bayoumi, Eds., Norwell: Kluwer, ISBN 0-7923-8555-1, 1999, pp. 79-101.
12. G. E. Salam and R.M. Goodman, “ A Digital Neural Network Architecture Using Random Pulse Trains,” in Silicon Implementation of Pulse Coded Neural Networks, M.E. Zaghloul, J. L. Meador and R.W. Newcomb, Eds.,Boston: Kluwer Academic, ISBN 0-7923-9449-6, 1994, pp. 249-262.
11. T.D. Chiueh and R.M. Goodman, “Recurrent Correction Associative Memories and their VLSI Implementation,” in Associative Neural Memories: Theory and Implementation, M.H. Hassoun, Ed., New York: Oxford University Press, ISBN 0-19-507682-6, 1993, pp. 276-287.
10. R.M. Goodman, B. Gupta and M. Sayano, “ Neural Network Implementation of Adaptive Vector Quantization for Image Compression,” in Communication Theory and Applications I, B. Honary, M. Darnell, P.G. Farrell, Eds., Communication and Signal Processing Series:1, ISBN 0 901800 25 2, 1993.
9. P. Smyth, J. Statman, G. Oliver and R.M. Goodman, “ Combining Knowledge-based Techniques and Simulation with Applications to Communications Network Management,” in Integrated Network Management II, I. Krishnan and W. Zimmer, Eds., New York: Elsevier Science Publishers, ISBN 0 444 89028 9, 1991, pp. 505-515.
8. R.M. Goodman and H. Latin, “ Automated Knowledge Acquisition from Network Management Databases,” in Integrated Network Management II , I. Krishnan and W. Zimmer, Eds., New York: Elsevier Science Publishers,  ISBN 0 444 89028 9, 1991, pp. 541-549.
7. P. Smyth and R.M. Goodman, “ Rule Induction using Information Theory,” in Knowledge Discovery in Databases, G. Piatetsky-Shapiro and W.J. Frawley, Eds., Cambridge: The MIT Press, 1991, pp. 159-176.
6. R.M.F. Goodman, “ Processing Techniques in Public Key Cryptosystems,” in The Impact of Processing Techniques on Communications, J. Skwirzynski, Ed., NATO A.S.I. Series E: Applied Sciences, No. 91,  The Hague, Netherlands: Martinus Nijhoff, ISBN 90-247-3160-7, 1985,  pp. 465-476.
5. R.M.F. Goodman, “A New Trapdoor-Knapsack Algorithm,” in Lecture Notes in Computer Science, No. 209, T. Beth, N. Cot, I. Ingemarsson, Eds., Berlin: Springer-Verlag, ISBN 3-540-16076-0, 1985, pp. 150-158.
4. R.M.F. Goodman, “ Soft-Decision Threshold Decoders,” in Algebraic Coding Theory and Applications, G. Longo, Ed., CISM Courses and Lectures No. 258, New York: Springer-Verlag, ISBN 0-387-81544-9, 1979, pp. 423-445.
3. R.M.F. Goodman, “On the Design of Practical Minimum Distance Convolutional Decoders,” in Algebraic Coding Theory and Applications, G. Longo, Ed., CISM Courses and Lectures No. 258, New York: Springer-Verlag, ISBN 0-387-81544-9, 1979, pp.  395-422.
2. R.M.F. Goodman, “Towards the Maximum-Likelihood Decoding of Long Convolutional Codes,” in Algebraic Coding Theory and Applications, G. Longo, Ed., CISM Courses and Lectures No. 258, New York: Springer-Verlag, ISBN 0-387-81544-9, 1979, pp. 367-393.
1. R.M.F. Goodman, T.A. English and M. Kilvington, “ An Implantable FM Telemetry System for Measuring Forces on Prosthetic Hip Joints ”, in A Handbook on Medical Biotelemetry & Radio Tracking, C.J. Amlaner Jr. and D.W. Macdonald, Eds., Oxford: Pergamon Press, ISBN 0080249280, 1979, pp. 297-306.
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Edited Conference Proceedings
3. Applications of Neural Networks to Telecommunications 3, J. Alspector, R. Goodman and T.X. Brown, Eds., Mahwah: Lawrence Erlbaum Associates, ISBN 0-8058-2900-8, 1979.
2. Applications of Neural Networks to Telecommunications 2, J. Alspector, R. Goodman and T.X. Brown, Eds., Hillsdale: Lawrence Erlbaum Associates, ISBN 0-8058-2084-1, 1995.
1. Applications of Neural Networks to Telecommunications 1, J. Alspector, R. Goodman and T.X. Brown, Eds., Hillsdale: Lawrence Erlbaum Associates, ISBN 0-8058-1560-0, 1993.

Papers in Published Conference Proceedings

  
88. W. Agassounon, A. Martinoli and R. M. Goodman, “ A Scalable, Distributed Algorithm for Allocating Workers in Embedded Systems,” Proceedings of the IEEE Conference on System, Man and Cybernetics (SMC-01), October 2001, Tucson, Arizona, USA, Vol. 5, pp. 3367-3373.
87. A.T. Hayes, A. Martinoli and R.M. Goodman, “ Swarm Robotic Odor Localization,” Proceedings of the 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-01), October 2001, Maui, Hawaii, USA, Vol. 2, pp.1073-1078.
86. K-T. Tang and R. M. Goodman, “ Electronic Olfaction System on a Chip,” Proceedings of the 5th World Multi-Conference on Systemics, Cybernetics and Informatics (SCI 2001), July 2001, Orlando, Florida, USA, Vol. XV, p. 534.
85. V. Koosh and R. Goodman, “ Dynamic Charge Restoration of Floating Gate Subthreshold MOS Translinear Circuits,” Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS-2001), May 2001, Sydney, Australia, Vol. 1, pp. 33-36.
84. V. Koosh and R. Goodman, “ VLSI Neural Network with Digital Weights and Analog Multipliers ,” Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS-2001), May 2001, Sydney, Australia, Vol. 2, pp. 233-236.
83. V. Koosh and R. Goodman, “Dynamic Charge Restoration of Floating Gate Subthreshold MOS Translinear Circuits,” Proceedings of the 19th IEEE Conference on Advanced Research in VLSI (ARVLSI 2001), March 2001, Salt Lake City, Utah, USA, pp. 163-171.
82. A. T. Hayes, A. Martinoli and R. M. Goodman, “ Comparing Distributed Exploration Strategies with Simulated and Real Autonomous Robots,” Proceedings of the 5th International. Symposium on Distributed Autonomous Robotic Systems,” L. E. Parker, G. Bekey and J. Bahren, Eds., October 2000, Knoxville, Tennessee, USA, pp. 261-270.  
81. J. A. Dickson, M. S. Freund, N. S. Lewis and R. M. Goodman, “ An Integrated Chemical Sensor Array using Carbon Black Polymers and a Standard CMOS Process,” Technical Digest of the Solid-State Sensor and Actuator Workshop , June 2000, Hilton Head Island, South Carolina, USA, pp. 162-165.
80. J. A. Dickson, R. M. Goodman, “ Integrated Chemical Sensors based on Carbon Black and Polymer Films using a Standard CMOS Process and Post-processing,” Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS’2000), May 2000, Geneva, Switzerland, pp. 341-344.
79. P. Keaton and R. Goodman, “ A Compression Framework for Content Analysis,” Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL '99), in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '99), June 1999, Ft. Collins, Colorado, USA, pp. 69-73.
78. P. Keaton, H. Greenspan and R. Goodman, “ Keyword Spotting for Cursive Document Retrieval ,” Proceedings of the IEEE Workshop on Document Image Analysis (DIA '97), in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition (CVPR '97), June 1997, San Juan, Puerto Rico, pp. 74-81.
77. D. Babcock, R.M. Goodman, C. Lee and J. Kim, “Neural Networks for Drag Reduction in Fully Turbulent Airflows,” Proceedings of 5 th International IEE Conference on Artificial Neural Networks, July 1997, Churchill College, University of Cambridge, Cambridge, U.K.
76. R. Spangler, R. M. Goodman and J. Hawkins, “ Bach in a Box - Real-Time Harmony ”, Advances in Neural Information Processing Systems 10, (NIPS 97), M.I. Jordan, M.J. Kearns and S.A. Solla, Eds.,  MIT Press, 1998, pp. 957-963.
75. D. Babcock, C. Lee, B. Gupta, J. Kim and R. Goodman, “ Active Drag Reduction using Neural Networks,” Proceedings of the IEEE International Workshop on Neural Networks for Identification, Control, Robotics, and Signal/Image Processing (NICROSP’96), August 1996, Venice, Italy, pp. 279-287.
74. B. Gupta, R. Goodman, F. Jiang, Y-C. Tai, “Analog VLSI System for Active Drag Reduction,” Proceedings of the IEEE 5th International Conference on Microelectronics for Neural Networks and Fuzzy Systems (MicroNeuro '96), February 1996, Lausanne, Switzerland, pp. 45-51.
73. F. Jiang, Y.-C. Tai, B. Gupta, R. Goodman, S. Tung, J.- B. Huang and C.-M. Ho, “ A Surface-Micromachined Shear Stress Imager,” Proceedings of the 1996 IEEE Micro Electro Mechanical Systems Workshop (MEMS `96) , February 1996, San Diego, California, USA, pp. 110-115.
72. R.M. Goodman and B.E. Ambrose, “ Learning Telephone Network Trunk Reservation Congestion Control using Neural Networks,” Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications 2 (IWANNT ’95), Stockholm, Sweden, J. Alspector, R. Goodman and T.X. Brown, Eds., Lawrence Erlbaum & Associates, 1995, pp. 258-264.
71. R.M. Goodman and B.E. Ambrose, “ Time Series Prediction of Telephone Traffic Occupancy Using Neural Networks,” Proceedings of the 4th Irish Neural Network Conference (INNC), University College Dublin, Dublin, Ireland, September 1994.
70. R.M. Goodman, B.E. Ambrose, H.W. Latin and C.T. Ulmer, “ NOAA - An Expert System Managing the Telephone Network ”, Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management (ISINM '95), May 1995, Santa Barbara, California, USA, Integrated Network Management IV , S. Sethi, Y. Raynaud, and F. Faure-Vincent, Eds. Chapman & Hall, 1995, pp. 316 –327.
69. R.M. Goodman and B.E. Ambrose, “Hybrid Neural Network/Expert System for Telephone Network Management,” Proceedings of the Safety Through Quality Conference , June 1994, Berkshire, U.K.
68. R.M. Goodman and Z. Zeng, “ A Learning Algorithm for Multi-Layer Perceptrons with Hard-Limiting Threshold Units,” Proceedings of the 1994 IEEE Workshop on Neural Networks for Signal Processing (NNSP’94), September 1994, Ermioni, Greece, pp. 219-228.
67. R. M. Goodman, “ In Memoriam Ed Posner,” Advances in Neural Information Processing Systems 6, (NIPS 93), J. Cowan, G. Tesauro and J. Alspector, Eds., Morgan-Kaufmann, 1994, pp. xviii-xxv.
66. H. Greenspan, S. Belongie, P. Perona,, R.M. Goodman, S. Rakshit, and C. H. Anderson, “ Overcomplete Steerable Pyramid Filters and Rotation Invariance,” Proceedings of the IEEE Conference on Computer Vision Pattern Recognition (CVPR), June 1994, Seattle, Washington, USA, pp. 222-228.
65. Z. Zeng, R.M. Goodman and P. Smyth, “Discrete Recurrent Neural Networks as Pushdown Automata,” Proceedings of the 1993 International Symposium on Nonlinear Theory and its Applications  (NOLTA'93), December 1993, Waikiki, Hawaii.
64. R.M. Goodman and B.E. Ambrose, “ Applications of Learning Techniques to Network Management ,” Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications 1 (IWANNT ’93), J. Alspector, R. Goodman and T.X. Brown, Eds., Lawrence Erlbaum & Associates, 1993, pp. 34-44.
63. H.K. Greenspan and R.M. Goodman, “ Remote Image Analysis via a Texture Classification Neural Network,” Advances in Neural Information Processing Systems 5, (NIPS 92), S. Hanson, J. Cowan, L. Giles Eds., Morgan-Kaufmann, 1993, pp. 425-432.
62. C.M. Higgins and R.M. Goodman, “ Learning Fuzzy Rule-Based Neural Networks for Control,” Advances in Neural Information Processing Systems 5, (NIPS 92), S. Hanson, J. Cowan, L. Giles Eds., Morgan-Kaufmann, 1993, pp. 350-357.
61. J. Miller and R.M. Goodman, “ Probability Estimation from a Database Using a Gibbs Energy Model,” Advances in Neural Information Processing Systems 5, (NIPS 92), S. Hanson, J. Cowan, L. Giles Eds., Morgan-Kaufmann, 1993, pp. 425-432.
60. Z. Zeng, R.M. Goodman and P. Smyth, “Self-Clustering Recurrent Networks,” Proceedings of the 1993 IEEE International Conference on Neural Networks, March 1993, San Francisco, California, USA.
59. R.M. Goodman and B. Ambrose, H. Latin and S. Finnell, “ A Hybrid Expert System / Neural Network Traffic Advice System,” Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management (ISINM '93), April 1993, San Francisco, California, USA, Integrated Network Management III, H. G. Hegering and Y. Yemini, Eds., Elsevier Science Publishers B.V., 1993, pp. 607-616.
58. R.M. Goodman and B. Ambrose, “Network Operators Advice and Assistance (NOAA):  A real-time traffic rerouting expert system,” Proceedings of IEEE Global Telecommunications Conference (GLOBECOM '92), December 1992, Orlando, Florida, USA.
57. G. Erten and R.M. Goodman, “A Digital Neural Network Architecture Using Random Pulse Trains,” Proceedings of the 1992 IEEE International Joint Conference on Neural Networks (IJCNN-92), Baltimore, Maryland, USA, June 1992, Vol. 1, pp. 190-195.
56. C.M. Higgins and R.M. Goodman, “ Learning Fuzzy Rule-Based Neural Networks for Function Approximation ,” Proceedings of the 1992 IEEE International Joint Conference on Neural Networks (IJCNN-92), Baltimore, Maryland, USA, June 1992, Vol. 1, 251-256.
55. H.K. Greenspan, R.M. Goodman and R. Chellappa, “ Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery,” Advances in Neural Information Processing Systems 5, (NIPS 92), S. Hanson, J. Cowan, L. Giles Eds., Morgan-Kaufmann, 1993, pp. 444-452.
54. A. Moore, J. Allman, G. Fox and R.M. Goodman, “ VLSI Implementation of a Network for Color Constancy,” in Advances in Neural Information Processing Systems 3, (NIPS 90), R. Lippmann, J.Moody, D. Touretzky, Eds., Morgan-Kaufmann, 1991, pp. 370-376.
53. R.M. Goodman and P. Smyth, “Automated Induction of Rule-Based Neural Networks from Databases,” Proceedings of the Fourth International Conference on Expert Systems in Accounting, Finance & Management, October 1991, Pasadena, California, USA.
52. R.M. Goodman, B. Gupta, and M. Sayano, “Neural Network Implementation of Adaptive Vector Quantization for Image Compression,” Proceedings of the 1 st IEE International Symposium on Communication Theory and Applications, September 1991, Crieff, Scotland, UK.
51. A. Moore and R.M. Goodman, “ Image Range Control and Contrast Enhancement via VLSI Masking ,” Proceedings of the Second Government Neural Network Applications Workshop, September 1991, Huntsville, Alabama, USA.
50. R. M. Goodman and C.M. Higgins, “Fuzzy Control using Rule-Based Neural Networks,” Proceedings of the Second Government Neural Network Applications Workshop, September1991, Huntsville, Alabama, USA.
49. T. Chiueh and R.M. Goodman, “ The Kanerva Memory is Stable,” Proceedings of the 1991 International Joint Conference on Neural Networks (IJCNN-91) , July 1991, Seattle, Washington, USA, Vol. 2, pp. 267-271.
48. J. W. Miller, R.M. Goodman and P. Smyth, “Objective Functions for Probability Estimation,” Proceedings of the 1991 International Joint Conference on Neural Networks (IJCNN-91), July 1991, Seattle, Washington, USA, Vol. 1, pp. 881-886.
47. H.K. Greenspan, R.M. Goodman and R. Chellappa, “Texture Analysis via Unsupervised and Supervised Learning,” Proceedings of the 1991 International Joint Conference on Neural Networks (IJCNN-91), July 1991, Seattle, Washington, USA, Vol. 1, pp. 639-644.
46. C. M. Higgins and R.M. Goodman, “ Incremental Learning with Rule-Based Neural Networks ,” Proceedings of the 1991 International Joint Conference on Neural Networks (IJCNN-91), July 1991, Seattle, Washington, USA, Vol. 1, pp. 875-880.
45. A. Moore and R.M. Goodman, “ Image Smoothing at Video Rates with Analog VLSI,” Proceedings of the 1990 IEEE International Conference on Systems, Man and Cybernetics (SMC ’90), November 1990, Los Angeles, California, USA, pp. 839-841.
44. J.W. Miller and R.M. Goodman, “A Polynomial Time Algorithm for Finding Bayesian Probabilities from Marginal Constraints,” Proceedings of the Sixth Conference on Uncertainty in Artificial Intelligence ”, July 1990, Cambridge, Massachusetts, USA, P. P. Bonissone, M. Henrion, L. N. Kanal and J. F. Lemmer, Eds., Elsevier Science Publishing.
43. R.M. Goodman and M. Sayano, “The Reliability of Semiconductor Random Access Memories with On-Chip Single Error Correction Coding,” Proceedings of the 1990 International Symposium on Information Theory and its Applications , November 1990, Waikiki, Hawaii, USA, pp. 183-186.
42. K. Kramer, R.M. Goodman and A.J. McAuley, “ An Efficient Divider for Large Operands ,” Proceedings of the1990 International Conference on Application Specific Array Processors, September 1990, Princeton University, New Jersey, USA.
41. R.M. Goodman and T. Chiueh, “VLSI Implementation of a Neural Associative Memory and its Application to Vector Quantization,” July 1990, Proceedings of the 1990 International Neural Network Conference (INNC ’90) , Palais Des Congres, Paris, France.
40. T. Chiueh and R.M. Goodman, “ VLSI Implementation of a High-Capacity Neural Associative Memory,” Advances in Neural Information Processing Systems 2, NIPS 89, David S. Touretzky, Ed., Morgan-Kaufmann, 1990, pp. 793-800.
39. R.M. Goodman, C. Higgins, J. Miller and P. Smyth, “A Rule-Based Approach to Neural Network Classifiers,” Proceedings of the 1990 International Neural Network Conference (INNC ’90), July 1990, Palais Des Congres, Paris, France.
38. I. Galton and R.M. Goodman, “An Equivalence Between Fractals and L-Systems”, Proceedings of the 1990 Conference on Artificial Life, February 1990, Santa Fe, New Mexico, USA.
37. R.M. Goodman, C. Higgins and P. Smyth, “A Hybrid Rule-Based/Bayesian Classifier,” Proceedings of the 7 th  European Conference on Artificial Intelligence (ECAI ’90), August 1990, Stockholm, Sweden, Springer-Verlag, pp. 610-615.
36. P. Smyth and R.M. Goodman, “Search in Learning Algorithms using the Minimum Description Length Principle,” Proceedings of the 1990 AAA1 Symposium on the Theory and Application of Minimal-Length Encoding, March 1990, Stanford, California, USA.
35. P.G. Farrell, F. Taleb, M. Rice, J.T. Coffey and R.M. Goodman, “ Soft-Decision Decoding of Reed-Solomon Codes,” Proceedings of the Third Workshop on ECC, September 1989, IBM Almaden Research Center, California, USA.
34. R.M. Goodman and P. Smyth, “The ITRULE Algorithm for Rule Induction,” Proceedings of the 1989 IJCAI Workshop on Knowledge Discovery in Databases, August 1989, Detroit, Michigan, USA.
33. J.T. Coffey and R.M. Goodman, “Generalized Information Set Decoding and other Reduced-Complexity Decoding Algorithms,” Proceedings of the 1989 International Symposium on Applied Algebra and Error-Correcting Codes, February 1989, Toulouse, France.
32. R.M. Goodman and P. Smyth, “The Induction of Probabilistic Rule Sets - the ITRULE Algorithm.” Proceedings of the Sixth International Workshop on Machine Learning (ML-89), 1989, Ithaca, New York, USA. 1989, Morgan-Kaufmann, pp. 129-132.
31. K. Kramer, R.M. Goodman and A.J. McAuley, “ Exploiting the Inherent Fault Tolerance of Asynchronous Arrays,” Proceedings of the 1989 International Conference on Systolic Arrays, Killarney, Ireland, 1989.
30. R.M. Goodman, J. Miller, P. Smyth and H. Latin, “Real Time Autonomous Expert Systems in Network Management,” Invited Paper, Proceedings of the First IFIP International Symposium on Integrated Network Management , May 1989, Boston, Massachusetts, USA.
29. P. Smyth and R.M. Goodman, “ On Rule-Based Probabilistic Inference: Theoretical Principles and Practical Techniques,” January 1989, Proceedings of the 2nd International Workshop on AI and Statistics, Fort Lauderdale, Florida, USA.
28. R.M. Goodman, J.W. Miller, and P. Smyth, “ An Information Theoretic Approach to Rule-Based Connectionist Expert Systems,” Advances in Neural Information Processing Systems 1, NIPS 88, D. Touretzky, Ed., Morgan-Kaufmann, 1989, pp. 256-263.
27. T. Chiueh and R.M.F. Goodman, “ A Neural Network Classifier based on Coding Theory,” Neural Information Processing Systems 0, NIPS 87, D. Z. Anderson, Ed., American Institute of Physics, New York, 1988, pp. 174-183.
26. R.M. Goodman, J. Miller and P. Smyth, “ NETREX, A Real Time Network Management Expert System,” Proceedings of the 1988 IEEE Globecom Workshop on the Application of Emerging Technologies in Network Operation and Management, December 1988, Florida, USA.
25. R.M.F. Goodman and P. Smyth, “Automated Rule Acquisition,” Proceedings of the Third AAAI Workshop on Knowledge Acquisition for Knowledge-Based Systems , November 1988, Banff, Canada.
24. T. Chiueh and R.M. Goodman, “ Learning Algorithms for Neural Networks with Ternary Weights ,” Proceedings of the First Annual Meeting of the International Neural Networks Society, September 1988, Boston, Massachusetts, USA, p. 166.
23. T. Chiueh and R.M. Goodman, “High Capacity Exponential Associative Memories,” Proceedings of the IEEE Annual International Conference on Neural Networks, July 1988, San Diego, California, USA, Vol.1, pp. 153-160.
22. R.M.F. Goodman and P. Smyth, “ Information-Theoretic Rule Induction,” Proceedings of the 8 th European Conference on Artificial Intelligence (ECAI ’88), August 1988, Munich, Germany, pp. 357-362.
21. R.M.F. Goodman and P. Smyth, “ Information Theory, Expert Systems and Neural Networks,” Proceedings of the 1988 Beijing International Workshop on Information Theory, July 1988, Beijing, China, Int. Academic Publishers.
20. R.M. Goodman and A.J. McAuley, “An Arithmetic-Stack Processor for High Level Language Execution,” Proceedings of the 1988 Rochester Fourth Conference on Programming Environments, June 14-18 1988, University of Rochester.
19. R.M. Goodman and A.J. McAuley, “ An Efficient Asynchronous Multiplier,” Proceedings of the International Conference on Systolic Arrays, May 1988, San Diego, California, USA, pp. 593-599.
18. R.M.F. Goodman and P. Smyth, “Learning from Examples using Information Theory,” Proceedings of the Second AAAI Knowledge Acquisition for Knowledge-Based Systems Workshop, October 1987, Banff, Canada.
17. R.M.F. Goodman and P. Smyth, “ITRULE: An Information Theoretic Rule Induction Algorithm ,” Proceedings of the First European Workshop on Knowledge Acquisition, September 1987, Reading, U.K.
16. J.T. Coffey, R.M.F. Goodman and P. Farrell, “ Mapping Vector Decoding,” Proceedings of the Second Workshop in Error Correcting Codes, September 1987, IBM Almaden Research Center, California, USA.
15. R.M.F. Goodman and A.J. McAuley, “ Decoding Long Convolutional Codes with a VLSI Path Generator Chip,” Proceedings of the 20th Princeton Conference on Information Sciences and Systems, March 1986, Princeton, New Jersey, USA.
14. T. Fuja, R.M.F. Goodman and C. Heegard, “The Structure and Complexity of Linear Sum Codes,” Proceedings of the 23rd Annual Allerton Conference on Communications, Control, and Computing, October 1985, University of Illinois, Urbana-Champaign, USA.
13. M. Blaum, R.M.F. Goodman and R.J. McEliece, “ Methods for Protection of Computer Memories ,” Proceedings of the 23rd Annual Allerton Conference on Communications, Control, and Computing, October 1985, University of Illinois, Urbana-Champaign, USA.
12. R.M.F. Goodman and A.J. McAuley, “ Key Exchange in a Broadcast Environment via a Public-Key-Cryptosystem ,” Proceedings of the IERE Conference on Digital Processing of Signals in Communications, Loughborough, UK, 1985, 3 pages.
11. R.M.F. Goodman and P.J.C. Clare, “ Channel Codes and Computer Memories,” Proceedings of the IEE Conference on Practical Applications of Channel Coding Techniques, February 1983, London, UK, 5 pages.
10. R.M.F. Goodman and R.J. McEliece, “ Hamming Codes, Computer Memories, and the Birthday Surprise,” Proceedings of the 20th Allerton Conference on Communications, Control and Computing, October 1982, University of Illinois, Champaign-Urbana, USA, 8 pages.
9. D.G. Whitehead, R.M.F. Goodman and K.A. Welsh, “ A Low-Cost Microprocessor Controlled Weighbridge,” Proceedings of the IERE Conference on Measurements, Instruments and Transducer Design, June 1982, UMIST, Manchester, UK, pp. 215-220.
8. R.M.F. Goodman, “ Computer Networks in the U.K.,” Proceedings of the 7th West Coast Computer Fair, March 1982, San Francisco, California, USA, 7 pages.
7. R.M.F. Goodman and K. Salloum, “ Error Control Coding for a Multi-Subcarrier H.F. Modem,” Proceedings of the IEE Conference on H.F. Systems and Techniques, February 1982, London, UK, pp. 1-6.
6. R.M.F. Goodman, “ Burst Error Correcting Convolutional Codes,” Proceedings of the IEE Colloquium on Data Transmission Codes, November 1980, London, UK, 7 pages.
5. R.M.F. Goodman, “ Error Correction Coding for VLSI Memories,” Proceedings of the IEE Conference on The Impact of New LSI Techniques on Communication Systems, September 1980, London, UK, pp. 119-122.
4. R.M.F. Goodman, A.D. Green and A.F.T. Winfield, “ Soft-Decision Error-Correcting Coding Schemes for HF Data Transmission,” Proceedings of the IEE Conference Recent Advances in HF Communications Systems and Techniques, February 1979, London, UK, pp. 86-101.
3. R.M.F. Goodman and A.D. Green, “ Microprocessor- Controlled Permutation Decoding of Block Error-Correcting Codes,” Proceedings of the IERE International Conference on Microprocessors in Automation and Communications , No. 41, September 1978, Canterbury, UK, pp. 365-376.
2. R.M.F. Goodman and W.H. Ng, “ Soft-Decision Threshold Decoding of Convolutional Codes,” Proceedings of the IERE International Conference on Digital Processing of Signals in Communications, No. 37, September 1977, Loughborough, UK, pp. 535-546.
1. R.M.F. Goodman and A.D. Green, “ Microprocessor-Controlled Soft-Decision Decoding of Error-Correcting Block Codes,” Proceedings of the IERE International Conference on Digital Processing of Signals in Communications, No. 37, September 1977, Loughborough, UK, pp. 337-349.
Ph.D. Thesis
R.M.F. Goodman, “Variable Redundancy Coding for Adaptive Error Control," Ph.D. Thesis, Natural Science, University of Kent at Canterbury, U.K., 279 pp, 1976.
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Patents
Pending:
9. R. Goodman and O. Holland, “CIT01-59: Architecture for a Conscious Machine,”
8. P. Keaton and R. Goodman, “CIT-01-11: An Image and Video Indexing Scheme for Content Analysis,”
7. R. Goodman, et al, “CIT-3154:  Handwriting Recognition by Word Separation into Silhouette bar Codes and other Feature Extraction”, PCT US01/01815
Issued:
6. R.M. Goodman, N.S. Lewis, R.H. Grubbs, J. Dickson, V. Koosh, R. Payne, “ Techniques and Systems for Analyte Detection,” US Patent 6,495,892, December 17 2002.
5. R.M. Goodman, K. Emerson and J. Dickson, “Television Advertising Automated Billing System,” US Patent 6,173,271, January 2001.
4. R.M. Goodman and R. Spangler, “Music Composition,” U.S. Patent 5,883,326, March 16, 1999.
3. R.M. Goodman and R. Spangler, “Music Composition,” U.S. Patent 5,736,666, April 7, 1998.
2. R.M.F. Goodman and A.J. McAuley, “Arithmetic Stack Processor,” U.S. Patent No. 5,187,799, Feb16, 1993.
1. R.M.F. Goodman and A.F.T. Winfield, “A Data Processing System," U.K. Patent No. 011854, 1985.
Published Abstracts of Talks
38. O. Holland and R. Goodman, “Consciousness and Adaptive Model-Based Predictive Controllers for Mobile Robots,” Proceedings of the International Conference on Towards a Science of Consciousness , Skovde, Sweden, August 2001.
37. R.M. Goodman, “The Electronic Nose – from Chips to Systems,” Invited Talk, Proceedings of the Ninth IEE International Conference on Neural Networks (ICANN99), Edinburgh, Scotland, UK, September 1999.  
36. R.M. Goodman, “A Code in the Nose,” Proceedings of the Symposium held to celebrate the 60 th Birthday of Professor Paddy Farrell,Communications and Coding, Eds. M. Darnell and B. Honary, John Wiley and Sons, ISBN 0 471 98336 5, 1998, pp. 237-238.
35. R.M. Goodman, “The Intelligent Active Skin,” Invited Talk, Program in Neural Networks and Machine Learning : themed week in the Applications of Neural Computing, The Newton Institute, Cambridge, UK, November 1997.
34. R.M. Goodman, “The Electronic Nose,” Program in Neural Networks and Machine Learning : themed week in the Applications of Neural Computing, The Newton Institute, Cambridge, UK, November 1997.
33. R.M. Goodman, “Learning the Rules of J.S. Bach,” Invited Talk, Proceedings of Neural Networks for Computing, Snowbird, Utah, USA, 1994.
32. J.A. Cortese and R.M. Goodman, “A Statistical Analysis of Neural Computation,” Proceedings of the 1994 IEEE International Symposium on Information Theory, Trondheim, Norway, June 27-July 1, 1994.
31. R.M. Goodman, “A Learning Algorithm for Multi-Layer Perceptrons with Hard-Limiting Hidden Units,” Proceedings of Neural Networks for Computing , Snowbird, Utah, USA, 1993.
30. R. M. Goodman, “Real Time Network Management,” Bellcore Symposium on Applications of Neural Networks to Telecommunications, October 1992.
29. R.M. Goodman, “Fuzzy Control Systems using Rule-Based Networks,” Invited Talk, Proceedings of Neural Networks for Computing, Snowbird, Utah, USA, 1992.
28. R.M. Goodman and P. Smyth, “Sparse Markov Models,” Proceedings of Neural Networks for Computing, Snowbird, Utah, USA, 1991.
27. R.M. Goodman and C.M. Higgins, “Incremental Rule-Based Learning,” Proceedings of the 1991 IEEE International Symposium on Information Theory, Budapest, Hungary, June 1991.
26. R.M. Goodman and H.K. Greenspan, “Texture Classification using Information Theory,” Proceedings of the 1991 IEEE International Symposium on Information Theory, Budapest, Hungary, June 1991.
25. R.M. Goodman, J. Miller and P. Smyth, “Objective Functions for Neural Network Classifier Design,” Proceedings of the 1991 IEEE International Symposium on Information Theory, Budapest, Hungary, June 1991.
24. R.M. Goodman and M. Sayano, “Adaptive Vector Quantization for Image Compression,” Proceedings of the 1991 IEEE International Symposium on Information Theory, Budapest, Hungary, June 1991, Budapest, Hungary, June 23-28, 1991.
23. M. Sayano and R.M. Goodman, “Single Phased Burst Error Correcting Array Codes,” Proceedings of the 1991 IEEE International Symposium on Information Theory, Budapest, Hungary, June 1991, Budapest, Hungary, June 1991.
22. R.M. Goodman and P. Smyth, “On Practical Applications of the ITRULE Algorithm” Proceedings of the 1990 IEEE International Symposium on Information Theory, San Diego, California, USA, 1990.
21. R.M. Goodman and M. Sayano, “ECC for Multi-Valued Random Access Memories,” Proceedings of the 1990 IEEE International Symposium on Information Theory, San Diego, California, USA, 1990.
20. R.M. Goodman, J.W. Miller and P. Smyth, “The Information Provided by a Linear Threshold Function with Binary Weights,” Proceedings of the 1990 IEEE International Symposium on Information Theory, San Diego, California, USA, 1990.
19. R.M. Goodman, J.W. Miller and P. Smyth, “Hybrid Rule-Based Neural Network Classifiers,” Proceedings of Neural Networks for Computing, Snowbird, Utah, USA, April 1990.
18. R.M. Goodman and M. Sayano, “On-Chip ECC for Multi-Level Random Access Memories,” Proceedings of the 1989 IEEE Information Theory Workshop, Cornell University, June 1989.
17. R.M. Goodman, J.W. Miller, and P. Smyth, “An Information Theoretic Approach to Modeling Neural Network Expert Systems,” Proceedings of the 1989 IEEE Information Theory Workshop, Cornell University, June 1989.
16. R.M. Goodman and Tzi-Dar Chiueh, “An Exponential Capacity Neural Associative Memory Chip with Applications,” Proceedings of Neural Networks for Computing, Snowbird, Utah, April 1989.
15. J.T. Coffey, P. Farrell and R.M.F. Goodman, “Low Complexity Decoding of General Linear Block Codes,” Proceedings of the 1988 IEEE International Symposium on Information Theory, Kobe City, Japan, June 1988.
14. R.M.F. Goodman and P. Smyth, “An Information Theory Model for Rule-Based Expert Systems,” Proceedings of the 1988 IEEE International Symposium on Information Theory, Kobe City, Japan, June 1988.
13. R.M.F. Goodman and P. Smyth, “An Information Theoretic Approach to the Formulation of Decision Trees,” Proceedings of the 1986 IEEE International Symposium on Information Theory, University of Michigan, Ann Arbor, Michigan, USA, October 1986.
12. M. Blaum, R.M.F. Goodman and R.J. McEliece, “The Effect of Soft Error Scrubbing on Single Error Protected RAM Systems,” Proceedings of the 1986 IEEE International Symposium on Information Theory, University of Michigan, Ann Arbor, Michigan, USA, October 1986.
11. R.M.F. Goodman and A.F.T. Winfield, “Forth Primitive Pairs Profiled,” Proceedings of the 7th Annual FORML Conference, Asilomar, California, USA, November 1985.
10. R.M.F. Goodman, C. Heegard and T. Fuja, “Some Linear Sum Codes for Computer RAMs,” Proceedings of 1985 IEEE International Symposium on Information Theory, Brighton, UK, June 1985.
9. R.M.F. Goodman and A.J. McAuley, “Bit Serial Integer Arithmetic for VLSI Public-Key-Cryptosystems” Proceedings of 1985 IEEE International Symposium on Information Theory, Brighton, UK, June 1985.
8. R.M.F. Goodman and A.J. McAuley, “Electronic Publishing and Copyright Protection,” Proceedings of 1985 IEEE International Symposium on Information Theory, Brighton, UK, June 1985.
7. R.M.F. Goodman and A.F.T. Winfield, “Asymptotically Maximum Likelihood Sequential Decoders,” Proceedings of 1985 IEEE International Symposium on Information Theory, Brighton, UK, June 1985.
6. R.M.F. Goodman, A.F.T. Winfield and D. Pountain, “Forth 79 Profiled,” Proceedings of the 1985 Rochester Forth Conference, Rochester University, New York, USA, June 1985.
5. R.M.F. Goodman and M. Abdul-Wahab, “A Fast Soft Decision Sequential Decoder,” Proceedings of the 1983 IEEE International Symposium on Information Theory, St. Jovite, Quebec, Canada, September 1983.
4. A.J. McAuley and R.M.F. Goodman, “Modifications to the Trapdoor-Knapsack Public Key Cryptosystem,” Proceedings of the 1983 IEEE International Symposium on Information Theory, St. Jovite, Quebec, Canada, September 1983.
3. R.M.F. Goodman, G.L. Lorden, and R.J. McEliece, “Lifetime Analyses of Coded VLSI Random Access Memories,” Proceedings of the 1983 IEEE International Symposium on Information Theory, St. Jovite, Quebec, Canada, September 1983.
2. R.M.F. Goodman and A.J. McAuley, “Degradeable Public Key Cryptosystems for Multi-Destination Addressing and Broadcast,” Proceedings of the 1982 IEEE International Symposium on Information Theory, Les Arcs, France, June 1982.
1. R.M.F. Goodman and A.F.T. Winfield, “Soft-Decision Direct Mapping Decoding of Convolutional Codes,” Proceedings of the 1979 IEEE International Symposium on Information Theory, Grignano, Italy, June 1979.
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