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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. 45, pp. 77109, April/May 2003. 
45. 
C. Daniell, A. Mahalanobis, and R. Goodman, “
Object Recognition in Subband Transform Compressed Images Using
Correlation Filters,” Applied OpticsInformation Processing,
Vol. 42, Issue 32, pp. 64746487, November 2003. 
44. 
A.T. Hayes, A. Martinoli, and R.M.Goodman, “
Swarm Robotic Odor Localization: OffLine Optimization and Validation
with Real Robots,” Robotica, Special issue on Biological
Robotics, Vol. 21, No. 4, pp. 427441, 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. 260217, 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. 359368, May 2002. 
41. 
S. Kazadi, A.AbdulKhaliq, R. Goodman, “ On
the Convergence of Puck Clustering Systems,” Robotics
and Autonomous Systems, 38 (2), pp. 93117, 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. 175188, 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. 17401747, 1997. 
38. 
B. Gupta, R. Goodman, F. Jiang, YC. Tai, S. Tung, CM, Ho,
“ Analog VLSI System for
Active Drag Reduction ,” IEEE Micro, Vol. 16, No.
5, pp. 5359, 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. 14211430, October
1996. 
36. 
G.Erten and R.M. Goodman, “ Analog
VLSI Implementation for Stereo Correspondence Between 2D Images
,” IEEE Transactions on Neural Networks, Vol. 7, No.
2, pp. 266277, 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. 371380, 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. 320330, March 1994. 
33. 
C.M. Higgins and R.M. Goodman, “ Fuzzy
RuleBased Networks for Control,” IEEE Transactions
on Fuzzy Systems, Vol. 2, No. 1, pp. 8288, 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. 894901,
September 1994. 
31. 
Z. Zeng, R.M. Goodman and P. Smyth, “ Learning
Finite State Machines with SelfClustering Recurrent Networks,”
Neural Computation, Vol. 5, No.6, pp. 976990, 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. 14041408, July 1993. 
29. 
R. M. Goodman and P. Smyth, “ Automated
Induction of RuleBased Neural Networks from Databases,”
International Journal of Intelligent Systems in Accounting,
Finance and Management, Special Issue on Neural Networks, Vol.
2, No. 1, pp. 4154, 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. 684693, March 1993. 
27. 
R.M. Goodman, P. Smyth, C.M. Higgins & J. Miller, “
RuleBased Neural Networks for
Classification and Probability Estimation,” Neural
Computation , Vol. 4, No. 6, pp. 781804, 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. 301316, August 1992. 
25. 
R.M. Goodman and M. Sayano, “ The
Reliability of Semiconductor RAM Memories with OnChip Error
Correction Coding,” IEEE Transactions on Information
Theory, Special Issue on Coding for Storage Devices, Vol. 37,
No. 3, pp. 884896, May 1991. 
24. 
A. Moore, J. Allman and R. Goodman, “ A Realtime Neural
System for Color Constancy ,” IEEE Transactions on Neural
Networks, Vol. 2, No. 2, pp. 237247, March 1991. 
23. 
T. Chiueh and R.M. Goodman, “ Recurrent Correlation
Associative Memories,” IEEE Transactions on Neural Networks
. Vol. 2, No. 2, pp. 275284, March 1991. 
22. 
T. Chiueh, R.M. Goodman and M. Sayano, “ A
Static RAM Chip with OnChip Error Correction ," IEEE
Journal of SolidState Circuits, Vol. 25, No. 5, pp. 12901294,
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. 5556, January 1990. 
20. 
J.T. Coffey, R.M. Goodman, and P.G. Farrell, “ New
Approaches to ReducedComplexity Decoding ,” Discrete
Applied Mathematics, Vol. 33, pp. 4360, 1991. 
19. 
R.M. Goodman and P. Smyth, “ Decision
Tree Design Using Information Theory,” Knowledge Acquisition,
Vol. 4, No. 1, pp. 126, 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. 10311037, 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. 14531461, 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. 205228,
1989. 
15. 
R.M. Goodman and A.J. McAuley, “ An
ArithmeticStack Processor for High Level Language Execution
,” Journal of Forth Applications & Research, Vol.
5, No. 4, pp. 469492, 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.
979994, September 1988 
13. 
M. Blaum, R.M.F. Goodman and R.J. McEliece, “ The
Reliability of SingleError Protected Computer Memories,”
IEEE Transactions on Computers, Vol. 37, No. 1, pp. 114119,
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. 10301042, September 1988. 
11. 
R.M.F. Goodman and A.J. McAuley, “ New
TrapdoorKnapsack PublicKey Cryptosystem,” Proceedings
of the IEE, Vol. 132, Pt. E, No. 6, pp. 289292, November 1985. 
10 
R.M.F. Goodman and R.J. McEliece, “ Lifetime
Analyses of ErrorControl Coded Semiconductor RAM Systems,”
Proceedings of the IEE, Vol. 129, Pt. E, No. 3, pp. 8185, 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. 357366, 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. 175187, 1981. 
7. 
R.M.F. Goodman, C. Eng and A.F.T. Winfield, “ SoftDecision
Minimum Distance Sequential Decoding Algorithm for Convolutional
Codes,” Proceedings of the IEE, Vol. 128, Pt. F, No.
3, pp. 179186, June 1981. 
6. 
P.G. Farrell and R.M.F. Goodman, “ SoftDecision
Error Control Coding for HF Data Transmission,” Proceedings
of the IEE, Vol. 127, Pt. F, No. 5, pp. 389399, October 1980. 
5. 
R.M.F. Goodman, “ SoftDecision
Decoding of the Teletext Character Code,” Electronics
Letters, Vol. 15, No. 4, pp. 108109, February 1979. 
4. 
W.H. Ng and R.M.F. Goodman, “ Analysis
of the Computational and Storage Requirements for the MinimumDistance
Decoding of Convolutional Codes,” Proceedings of the
IEE, Vol. 126, No. 1, pp. 2934, January 1979. 
3. 
W.H. Ng and R.M.F. Goodman, “ An
Efficient Minimum Distance Decoding Algorithm for Convolutional
ErrorCorrecting Codes,” Proceedings of the IEE, Vol.
125, No. 2, pp. 97103, February 1978. 
2. 
R.M.F. Goodman and P.G. Farrell, “ Data
Transmission with VariableRedundancy Error Control over a HighFrequency
Channel,” Proceedings of the IEE, Vol. 122, No. 2,
pp. 113118, February 1975. 
1. 
R.M.F. Goodman, “ Binary
Codes with Disjoint Codebooks and Mutual Hamming Distance,”
Electronics Letters, Vol. 10, No. 18, pp. 390391, September
1974. 
Book Chapters 
13. 
V. Koosh, B. Gupta, D. Babcock, R. Goodman, F. Jiang, YC.
Tai, S. Tung and CM. Ho, “ Analog
VLSI Systems for Drag Reduction ” in Learning on Silicon,
G. Cauwenberghs and M.A. Bayoumi, Eds., Norwell: Kluwer, ISBN
0792385551, 1999, pp. 79101. 
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 0792394496, 1994, pp. 249262. 
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 0195076826,
1993, pp. 276287. 
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 Knowledgebased 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. 505515. 
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. 541549. 
7. 
P. Smyth and R.M. Goodman, “ Rule
Induction using Information Theory,” in Knowledge
Discovery in Databases, G. PiatetskyShapiro and W.J. Frawley,
Eds., Cambridge: The MIT Press, 1991, pp. 159176. 
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 9024731607, 1985,
pp. 465476. 
5. 
R.M.F. Goodman, “A New TrapdoorKnapsack Algorithm,”
in Lecture Notes in Computer Science, No. 209, T. Beth, N. Cot,
I. Ingemarsson, Eds., Berlin: SpringerVerlag, ISBN 3540160760,
1985, pp. 150158. 
4. 
R.M.F. Goodman, “ SoftDecision
Threshold Decoders,” in Algebraic Coding Theory and
Applications, G. Longo, Ed., CISM Courses and Lectures No. 258,
New York: SpringerVerlag, ISBN 0387815449, 1979, pp. 423445. 
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: SpringerVerlag, ISBN 0387815449, 1979,
pp. 395422. 
2. 
R.M.F. Goodman, “Towards the MaximumLikelihood Decoding
of Long Convolutional Codes,” in Algebraic Coding Theory
and Applications, G. Longo, Ed., CISM Courses and Lectures No.
258, New York: SpringerVerlag, ISBN 0387815449, 1979, pp.
367393. 
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. 297306. 
top 

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 0805829008, 1979. 
2. 
Applications of Neural Networks to Telecommunications 2, J.
Alspector, R. Goodman and T.X. Brown, Eds., Hillsdale: Lawrence
Erlbaum Associates, ISBN 0805820841, 1995. 
1. 
Applications of Neural Networks to Telecommunications 1, J.
Alspector, R. Goodman and T.X. Brown, Eds., Hillsdale: Lawrence
Erlbaum Associates, ISBN 0805815600, 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 (SMC01), October 2001, Tucson, Arizona,
USA, Vol. 5, pp. 33673373. 
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 (IROS01), October 2001, Maui, Hawaii, USA, Vol. 2,
pp.10731078. 
86. 
KT. Tang and R. M. Goodman, “ Electronic
Olfaction System on a Chip,” Proceedings of the 5th
World MultiConference 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 (ISCAS2001), May 2001, Sydney, Australia,
Vol. 1, pp. 3336. 
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 (ISCAS2001), May 2001, Sydney, Australia,
Vol. 2, pp. 233236. 
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. 163171. 
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. 261270. 
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 SolidState Sensor
and Actuator Workshop , June 2000, Hilton Head Island, South
Carolina, USA, pp. 162165. 
80. 
J. A. Dickson, R. M. Goodman, “ Integrated
Chemical Sensors based on Carbon Black and Polymer Films using
a Standard CMOS Process and Postprocessing,” Proceedings
of the IEEE International Symposium on Circuits and Systems
(ISCAS’2000), May 2000, Geneva, Switzerland, pp. 341344. 
79. 
P. Keaton and R. Goodman, “ A
Compression Framework for Content Analysis,” Proceedings
of the IEEE Workshop on ContentBased 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. 6973. 
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. 7481. 
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  RealTime 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. 957963. 
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. 279287. 
74. 
B. Gupta, R. Goodman, F. Jiang, YC. 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. 4551. 
73. 
F. Jiang, Y.C. Tai, B. Gupta, R. Goodman, S. Tung, J. B.
Huang and C.M. Ho, “ A
SurfaceMicromachined Shear Stress Imager,” Proceedings
of the 1996 IEEE Micro Electro Mechanical Systems Workshop (MEMS
`96) , February 1996, San Diego, California, USA, pp. 110115.

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. 258264. 
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. FaureVincent,
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 MultiLayer Perceptrons with HardLimiting
Threshold Units,” Proceedings of the 1994 IEEE Workshop
on Neural Networks for Signal Processing (NNSP’94), September
1994, Ermioni, Greece, pp. 219228. 
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., MorganKaufmann, 1994, pp. xviiixxv. 
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.
222228. 
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. 3444. 
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., MorganKaufmann, 1993, pp.
425432. 
62. 
C.M. Higgins and R.M. Goodman, “ Learning
Fuzzy RuleBased Neural Networks for Control,” Advances
in Neural Information Processing Systems 5, (NIPS 92), S. Hanson,
J. Cowan, L. Giles Eds., MorganKaufmann, 1993, pp. 350357. 
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., MorganKaufmann, 1993, pp.
425432. 
60. 
Z. Zeng, R.M. Goodman and P. Smyth, “SelfClustering
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. 607616. 
58. 
R.M. Goodman and B. Ambrose, “Network Operators Advice
and Assistance (NOAA): A realtime 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
(IJCNN92), Baltimore, Maryland, USA, June 1992, Vol. 1, pp.
190195. 
56. 
C.M. Higgins and R.M. Goodman, “ Learning
Fuzzy RuleBased Neural Networks for Function Approximation
,” Proceedings of the 1992 IEEE International Joint Conference
on Neural Networks (IJCNN92), Baltimore, Maryland, USA, June
1992, Vol. 1, 251256. 
55. 
H.K. Greenspan, R.M. Goodman and R. Chellappa, “ Combined
Neural Network and RuleBased Framework for Probabilistic Pattern
Recognition and Discovery,” Advances in Neural Information
Processing Systems 5, (NIPS 92), S. Hanson, J. Cowan, L. Giles
Eds., MorganKaufmann, 1993, pp. 444452. 
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., MorganKaufmann,
1991, pp. 370376. 
53. 
R.M. Goodman and P. Smyth, “Automated Induction of RuleBased
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
RuleBased 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 (IJCNN91)
, July 1991, Seattle, Washington, USA, Vol. 2, pp. 267271.

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 (IJCNN91),
July 1991, Seattle, Washington, USA, Vol. 1, pp. 881886. 
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
(IJCNN91), July 1991, Seattle, Washington, USA, Vol. 1, pp.
639644. 
46. 
C. M. Higgins and R.M. Goodman, “ Incremental
Learning with RuleBased Neural Networks ,” Proceedings
of the 1991 International Joint Conference on Neural Networks
(IJCNN91), July 1991, Seattle, Washington, USA, Vol. 1, pp.
875880. 
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. 839841. 
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 OnChip Single Error Correction
Coding,” Proceedings of the 1990 International Symposium
on Information Theory and its Applications , November 1990,
Waikiki, Hawaii, USA, pp. 183186. 
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 HighCapacity Neural Associative Memory,”
Advances in Neural Information Processing Systems 2, NIPS 89,
David S. Touretzky, Ed., MorganKaufmann, 1990, pp. 793800.

39. 
R.M. Goodman, C. Higgins, J. Miller and P. Smyth, “A
RuleBased 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 LSystems”, 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 RuleBased/Bayesian
Classifier,” Proceedings of the 7 th European Conference
on Artificial Intelligence (ECAI ’90), August 1990, Stockholm,
Sweden, SpringerVerlag, pp. 610615. 
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
MinimalLength Encoding, March 1990, Stanford, California, USA.

35. 
P.G. Farrell, F. Taleb, M. Rice, J.T. Coffey and R.M. Goodman,
“ SoftDecision Decoding
of ReedSolomon 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 ReducedComplexity Decoding Algorithms,”
Proceedings of the 1989 International Symposium on Applied Algebra
and ErrorCorrecting 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 (ML89), 1989,
Ithaca, New York, USA. 1989, MorganKaufmann, pp. 129132. 
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
RuleBased 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 RuleBased Connectionist Expert
Systems,” Advances in Neural Information Processing
Systems 1, NIPS 88, D. Touretzky, Ed., MorganKaufmann, 1989,
pp. 256263. 
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. 174183.

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 KnowledgeBased 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. 153160. 
22. 
R.M.F. Goodman and P. Smyth, “ InformationTheoretic
Rule Induction,” Proceedings of the 8 th European
Conference on Artificial Intelligence (ECAI ’88), August
1988, Munich, Germany, pp. 357362. 
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 ArithmeticStack
Processor for High Level Language Execution,” Proceedings
of the 1988 Rochester Fourth Conference on Programming Environments,
June 1418 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. 593599. 
18. 
R.M.F. Goodman and P. Smyth, “Learning from Examples
using Information Theory,” Proceedings of the Second AAAI
Knowledge Acquisition for KnowledgeBased 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, UrbanaChampaign,
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, UrbanaChampaign, USA. 
12. 
R.M.F. Goodman and A.J. McAuley, “ Key
Exchange in a Broadcast Environment via a PublicKeyCryptosystem
,” 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,
ChampaignUrbana, USA, 8 pages. 
9. 
D.G. Whitehead, R.M.F. Goodman and K.A. Welsh, “ A
LowCost Microprocessor Controlled Weighbridge,” Proceedings
of the IERE Conference on Measurements, Instruments and Transducer
Design, June 1982, UMIST, Manchester, UK, pp. 215220. 
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 MultiSubcarrier H.F. Modem,”
Proceedings of the IEE Conference on H.F. Systems and Techniques,
February 1982, London, UK, pp. 16. 
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. 119122. 
4. 
R.M.F. Goodman, A.D. Green and A.F.T. Winfield, “ SoftDecision
ErrorCorrecting Coding Schemes for HF Data Transmission,”
Proceedings of the IEE Conference Recent Advances in HF Communications
Systems and Techniques, February 1979, London, UK, pp. 86101.

3. 
R.M.F. Goodman and A.D. Green, “ Microprocessor
Controlled Permutation Decoding of Block ErrorCorrecting Codes,”
Proceedings of the IERE International Conference on Microprocessors
in Automation and Communications , No. 41, September 1978, Canterbury,
UK, pp. 365376. 
2. 
R.M.F. Goodman and W.H. Ng, “ SoftDecision
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. 535546. 
1. 
R.M.F. Goodman and A.D. Green, “ MicroprocessorControlled
SoftDecision Decoding of ErrorCorrecting Block Codes,”
Proceedings of the IERE International Conference on Digital
Processing of Signals in Communications, No. 37, September 1977,
Loughborough, UK, pp. 337349. 
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.

top 

Patents 
Pending: 
9. 
R. Goodman and O. Holland, “CIT0159: Architecture for
a Conscious Machine,” 
8. 
P. Keaton and R. Goodman, “CIT0111: An Image and Video
Indexing Scheme for Content Analysis,” 
7. 
R. Goodman, et al, “CIT3154: 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
ModelBased 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.
237238. 
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 27July
1, 1994. 
31. 
R.M. Goodman, “A Learning Algorithm for MultiLayer
Perceptrons with HardLimiting 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 RuleBased
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 RuleBased
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 2328, 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 MultiValued 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 RuleBased
Neural Network Classifiers,” Proceedings of Neural Networks
for Computing, Snowbird, Utah, USA, April 1990. 
18. 
R.M. Goodman and M. Sayano, “OnChip ECC for MultiLevel
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 TziDar 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 RuleBased 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 PublicKeyCryptosystems” 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. AbdulWahab, “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
TrapdoorKnapsack 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 MultiDestination 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, “SoftDecision
Direct Mapping Decoding of Convolutional Codes,” Proceedings
of the 1979 IEEE International Symposium on Information Theory,
Grignano, Italy, June 1979. 
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