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    Faculty Profile — Is this you? Login to edit.Last Modified Time: 10:47:36 AM Wed, 8 Jan 2014 
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Richard M Golden
Professor and Program Head-Behavioral & Brain Sciences
Office MailstopMail Box: GR41, Room No.: GR 4.814 
Email Address  Richard.Golden@utdallas.edu    Primary Phone Number 972-883-2423    URL UTD Webpage   URL Richard Golden's Home Page    Media Contact
 Professional Preparation
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 DegreeMajorInstitutionYear
 Ph.D.Experimental PsychologyBrown University1987
 M.S.Electrical EngineeringBrown University1986
 B.S.Electrical Engineering and PsychologyUniversity of California at San Diego1982
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Research Interests

My research interests include mathematical models of how humans understand text as well as the mathematical analysis of connectionist and artificial neural network models. A long-term goal of my research program is the development of advanced methods for assessing reading comprehension in children. My research involves and integrates work from the fields of artificial intelligence, mathematical psychology, computational linguistics, and cognitive psychology.

Collapse Section Expand Section Publications
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  YearPublication  Type
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Paik, D., Golden, R. M., Tolak, M., and Dowling, E. M. (in press). Blind Adaptive CDMA Processing for Smart Antennas Using the Block Shanno Constant Modulus Algorithm. IEEE Transactions on Signal Processing.
Category: IEEE Transactions on Signal Processing
Conference paper
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Goldman, S. R., Golden, R. M., and van den Broek, P. (in press). Why are computational models of text comprehension useful? In. F. Schmalhofer and C. A. Perfetti (eds.) Higher Level Language Processes in the Brain: Inference and Comprehension Processes, Mahwah: New Jersey, Erlbaum.
Category: Higher Level Language Processes in the Brain: Infe...
Book chapters
2007
Kashner, T.M., Hinson, Holland, G.J., Mickey, D.D., Hoffman, K., Lind, L., Johnson, L.D., Chang, B.K., Golden, R.M., and Henley, S.S. (2007). A data accounting system for clinical investigators. Journal of American Medical Informatics Association, 14: 394-396.
Other
2003
Golden, R. M. (2003). Discrepancy risk model selection test theory for comparing possibly misspecified or nonnested models. Psychometrika, 68, 229-249.
Category: Psychometrika
Peer reviewed
2003
Jaynes, C. and Golden, R. M. (2003). Statistical detection of local coherence relations in narrative recall and summarization data. In R. Alterman and D. Kirsh (eds.) Proceedings of the 25th Annual Conference of the Cognitive Science Society, Boston, MA: Cognitive Science Society, 3-8.
Category: Annual Conference of the Cognitive Science Society
Conference paper
Collapse Section Expand Section Presentations and Projects
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Start DateEnd DatePresentation/Project
2004 2004 Neural Models as Parametric Statistical Inference Engines.
Golden, R. M., Invited talk. Society for Mathematical Biology. University of Michigan, Ann Arbor, MI.
2004 2004 Neural Models as Parametric Statistical Inference Engines.
Golden, R. M., Invited talk. Society for Mathematical Biology. University of Michigan, Ann Arbor, MI.
2003 2003 Modeling text understanding: Applications for diagnostic assessment of reading.
Golden, R. M., Goldman, S. R., Thomas, C., Oney, B., Macleod, S., and Lauterbach, M. Invited talk. International Conference on Higher Level Language Processes in the Brain: Inference and Comprehension Processes. Hanse Institute for Advanced Study. Delmenhorst, Germany.
2003 2003 Automatic semantic annotation of domain-specific free response data.
Golden, R. M., 2nd Annual Research Symposium of the Human Language Technology Research Institute. University of Texas at Dallas.
2003 2003 Modeling text understanding: Applications for diagnostic assessment of reading.
Golden, R. M., Goldman, S. R., Thomas, C., Oney, B., Macleod, S., and Lauterbach, M. Invited talk. International Conference on Higher Level Language Processes in the Brain: Inference and Comprehension Processes. Hanse Institute for Advanced Study. Delmenhorst, Germany.
Collapse Section Expand Section Appointments
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DurationRankDepartment / SchoolCollege / OfficeUniversity / Company
2004-PresentProfessor of Cognitive ScienceBehavioral and Brain Sciences University of Texas at Dallas
2000-PresentProgram Head, Undergraduate Cognitive Science ProgramBehavioral and Brain Sciences University of Texas at Dallas
2000-PresentProgram Head, Applied Cognition and Neuroscience Graduate Program,Behavioral and Brain Sciences University of Texas at Dallas
1999-PresentParticipating Faculty Member in Electrical EngineeringSchool of Engineering and Computer Science University of Texas at Dallas
1996-2004Associate Professor of Cognitive ScienceSchool of Behavioral and Brain Sciences University of Texas at Dallas
1990-1996Assistant Professor of Cognitive ScienceSchool of Human Development University of Texas at Dallas
1987-1989National Institute of Health Research FellowPsychology Department Stanford University
1986-1987Andrew Mellon Research FellowPsychology Department and Learning, Research, and Development Center University of Pittsburgh
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 Additional Information
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Employment History (Applied Cognitive Science Consulting)
  • Statistical Consultant, User Interface Design Engineer, Intelligent Algorithm Design, 2000-present, Martingale Research Corporation, Plano, TX.
  • Statistical Consultant, Intelligent Algorithm Design Engineer, Neural Network, Consultant, 1998-1999, Avalon Data Systems, L.L.C., Austin, TX.
  • Statistical Pattern Recognition and Neural Network Consultant, 1998, Texas Instruments, Inc. Dallas, TX.
  • Statistical and Neural Network Consultant, 1993-1995, Martingale Research, Corporation, Allen, TX.

Memberships
Editorial Board Member (Action Editor)
  • 1996-Present, Journal of Mathematical Psychology
  • 1995-Present, Neural Networks
  • 2001-2004, International Journal of Applied Intelligence
  • 1999-2004, Neural Processing Letters.
Governing/Executive Board Member
  • 2002-Present Society for Mathematical Psychology (Secretary-Treasurer)
  • 1996-2004 Society for Text and Discourse.
Review Board Member
  • 1997-2001, International Journal of Applied Intelligence

Honors and Awards
  • Advisory Panel Member for the Special Competition for Research in the Mathematical Social and Behavioral Sciences. National Science Foundation, Arlington, VA. June 28-29, 2004.
  • National Science Foundation Information Technology Research Award. Only 6 out of 75 submitted proposals received awards in a nation-wide competition in the area of Educational Technology across all NSF directorates. [$393,834 for a two-year time period], Awarded Fall 2001.
  • Keynote Speaker. Thirty-fourth Annual Meeting of the Society for Mathematical, Psychology. Brown University, Providence, RI, August, 2001.
  • Special UTD Faculty Development Award. Artificial Neural Net analysis and design with Professor Halbert White, Economics Department, UCSD, La Jolla, CA, Fall 1998.
  • Keynote Speaker. Second Joint Mexico-US International Conference on Neural Networks and Neurocontrol. Quintana Roo, Mexico, 1997.
  • National Institute of Health Postdoctoral Fellowship, 1987-1990.
  • Sigma XI Award for Outstanding Research, 1987, Brown University.
  • Andrew Mellon Fellowship, 1986-1987, University of Pittsburgh.
  • Connectionist Summer School Fellowship, 1986, Carnegie-Mellon.
  • Brown University Fellowship, 1982-1983, Brown University.

Patents
  • Graphical User Interface for Automatic Coding of Free Response Data using Hidden Markov Model Methodology. Golden, R.M., Earwood, J., Durbin, M. A. (Patent UTD-01-006). Assignee: Board of Regents, The University of Texas System, Austin, TX. Patent pending.
  • Adaptive Multiple Access Interference Suppression. Dowling, E. M., Jani, U. G., Wang, Z., Golden, R. M. U.S. Patent No. US 6,700,923 B1. Assignee: Board of Regents, The University of Texas System, Austin, TX. March 2, 2004.
  • Smart Antenna Multiuser Detector. Dowling, E. M., Jani, U., Golden, R. M., Wang, Z.U.S. Patent No. US 6,782,036 B1. Assignee: Board of Regents, The University of Texas System, Austin, TX. August 24, 2004.

Invited Reviewer
Annals of Math and AI (2003), Applied Intelligence (1997-2000), Behavioral and Brain Sciences (1988, 1989, 1993, 1994), Cognitive Psychology (2003), Cognitive Science (1988, 1991, 1994, 2002, 2003, 2005), Computational Statistics and Data Analysis (2003), Connection Science (1990-1993), Council of Physical Sciences of the Netherlands Organization for Scientific Research (NOW) (2005), Discourse Processes (1996-1999, 2005), IEEE Transactions on Circuits and Systems (1997, 1998), IEEE Transactions on Neural Networks(1991, 1997, 1998, 2000-2003, 2005), International Journal of Neural Systems (1998), Journal of Artificial Intelligence Research (1994), Journal of Computer and System Sciences (2001), Journal of Mathematical Psychology (1991-1998, 2005), Lawrence Erlbaum Book Reviewer (1990, 1994), Machine Learning (1989), MIT Press Book Reviewer (1995, 1996, 1998), Motivation and Emotion (1996), National Science Foundation (1999), Neural Computation (1993, 1995, 1998-2000), Neural Networks (1989, 1991, 1994, 1995), Pattern Recognition Letters (1995), Proceedings of the Fourteenth Annual Cognitive Science Society Conference (1992), Psychological Review (2000), Society for Industrial and Applied Mathematics (1989).

Membership in Professional Societies
Cognitive Science Society, IEEE (Senior Member), International Neural Networks Society, Mathematical Psychology Society (Secretary-Treasurer, Member of Executive Board), Text and Discourse Society, Artificial Intelligence in Education Society.

Doctoral Students
  • Dae-Hyun Paik (Electrical Engineering doctoral student). Graduated 12/2004. Space-time Processing with Block Shanno Algorithm for Smart Antennas in DS-CDMASystems.
  • Shahram Ghiasinejad (Psychology doctoral student). Expected graduation 2005.
  • Cynthia Jaynes (Psychology doctoral student. On leave of absence.)
  • Rebecca Horn (part-time Psychology doctoral student).
  • Greg Talkington (part-time Psychology doctoral student).
  • Perwaiz Ismaili (Psychology doctoral student). Expected graduation 2008.

Personal Statement

My research interests may be broadly characterized in terms of the development, extension, and understanding of formal mathematical models of perceptual and cognitive processes. My specific research interests can be conveniently divided into two areas of work: (1) mathematical analysis and design of artificial neural networks, and (2) mathematical models of human language and human text comprehension.

Mathematical Analysis and Design of Artificial Neural Networks:

The underlying psychological assumptions of most artificial neural network models of cognitive and neural processes are often obscured by how such models are constructed, presented, discussed, and evaluated. A common thread throughout my research program over the past 15 years has been to ''rebuild'' the neural network modeling paradigm so that neural network modeling assumptions are interpretable, theoretically well-grounded, empirically identifiable, and testable. My methodology for approaching this problem draws heavily upon classical engineering mathematics such as nonlinear dynamical systems theory, nonlinear optimization theory, and statistical pattern recognition. Examples of my work in this area include my book entitled Mathematical Methods for Neural Network Analysis and Design (MIT Press, 1996), my analysis of the BSB neural net model published in the Journal of Mathematical Psychology (Golden, 1993), and publication of a recent Psychometrika article (Golden, 2003) which describes the recent development of a new statistical test for comparing competing models which may be possibly misspecified or nonnested.

Mathematical Models of Human Language and Text Comprehension:

During the past decade, I have focused my attention on developing a new confirmatory constrained categorical time-series data analysis methodology for testing specific hypotheses about knowledge digraphs (i.e., a general class of semantic networks) which is called KDC (Knowledge Digraph Contribution) analysis. KDC analysis uses the order in which propositions appear in recall, summarization, question-answering, and other types of free response data to obtain a more revealing picture of the nature of the by-products of human comprehension processes. Golden (1998) provides the best summary of the current version of this statistical methodology. Durbin, Earwood, and Golden (2000) show how a simple probabilistic computational linguistics model based upon hidden Markov models can be trained to automatically and consistently semantically annotate human protocol data in order to support KDC analysis. The mathematical foundations of KDC theory are based largely upon the mathematical tools and techniques from asymptotic statistical theory and nonlinear optimization theory which I have exploited and developed in my investigations of artificial neural network models.

Currently, research in this area is being funded by an Information Technology Research (ITR) Award (in the area of Educational Technology) from the National Science Foundation to develop the ARCADE (Automated Reading Comprehension Assessment and Diagnostic Evaluation) system. The long-term goal of the ARCADE system is to develop a nation-wide web based system where grade school, middle school, and high school student answers to essay questions are automatically semantically analyzed and then used to make suggestions to classroom teachers in order to enhance student learning experiences in the classroom. The project involves research in the areas of: cognitive psychology, computer science, electrical engineering, educational technology, and computational linguistics.


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