George Nagy - List of Publications

Total Page:16

File Type:pdf, Size:1020Kb

George Nagy - List of Publications February 20, 2021 Nagy – Journal papers and book chapters 1 of 26 George Nagy - List of Publications Journal papers and book chapters [1] G. Nagy, "A Survey of Analog Memory Devices," IEEE Transactions on Electronic Computers, vol. 12, #4, pp. 388-393, August 1963. [2] R.G. Casey and G. Nagy, "Recognition of Printed Chinese Characters," IEEE Transactions on Electronic Computers, vol. 15, #1, pp. 91-101, February 1966. [3] G. Nagy and G. L. Shelton, "Self-Corrective Character Recognition System," IEEE Transactions on Information Theory, vol. 12, #2, pp. 215-222, April 1966. [4] G. Nagy, "Adaptive Devices and Systems," Electro-Technology, vol. 77, #4, pp. 40-49, April 1966. [5] G. Nagy, "Pattern Recognition IEEE 1966 Workshop," IEEE Spectrum, pp. 92- 94, February 1967 (reprint of earlier publication). [6] G. Nagy, "Pattern Recognition IEEE 1966 Workshop," IEEE Computer Group News, pp. 16-19, January 1967. [7] G. Nagy, "A Second-Harmonic Analog Memory System," Electro-Technology, pp. 102-107, February 1967. [8] G. Nagy, "The Application of Nonsupervised Learning to Character Recognition," Pattern Recognition, L. Kanal, Ed., pp. 391-398, Thompson Book Company, Washington, 1968. [9] R.G. Casey and G. Nagy, "Autonomous Reading Machine," IEEE Transactions on Computers, vol. 17, #5, pp. 492-503, May 1968. [10] G. Nagy, "Classification Algorithms in Pattern Recognition," IEEE Transactions on Audio and Electroacoustics, vol. 16, #2, pp. 203-212, June 1968. [11] G. Nagy and N.G. Tuong, "On a Theoretical Pattern Recognition Model of Ho and Agrawala," Proceedings of the IEEE, vol. 56, #6, pp. 1108-1109, June 1968. [12] R. Bakis, N.M. Herbst, and G. Nagy, "An Experimental Study of Machine Recognition of Hand-Printed Numerals," IEEE Transactions on Systems Science and Cybernetics, vol. 4, #2, pp. 119-132, July 1968. [13] R.G. Casey and G. Nagy, "Efficient Templates for Character Recognition," Quarterly Bulletin of the Canadian Information Processing Society, vol. 8, #6, pp. 11-17, Fall 1968. [14] G. Nagy, "A Preliminary Investigation of Techniques for the Automated Reading of Unformatted Text," Communications of the ACM, vol. 11, #7, pp. 480-487, November 1968. [15] G. Nagy, "State of the Art in Pattern Recognition," Proceedings of the IEEE, vol. 56, #5, pp. 336-362, May 1968. [16] G. Nagy, " Feature Extraction on Binary Patterns," IEEE Transactions on System Science and Cybernetics, vol. 5, #4, pp. 273-278, October 1969. February 20, 2021 Nagy – Journal papers and book chapters 2 of 26 [17] G. Nagy and N. Tuong, "Normalization Techniques for Handprinted Numerals," Communications of the ACM, vol. 13, #8, pp. 475-481, August 1970. [18] R.G. Casey and G. Nagy, "Advances in Pattern Recognition," Scientific American, vol. 224, #4, pp. 56-71, 1971. [19] R.N. Ascher, G. Koppelman, M.J. Miller, and G. Nagy, "An Interactive System for Reading Unformatted Printed Text," IEEE Transactions on Computers, vol. 20, #12, pp. 1527-1543, December 1971. [20] G. Nagy, "Input Signals for an Interpretive Reading Aid," Visual Prosthesis, the Interdisciplinary Dialogue, T. D. Sterling, Ed., ACM Monograph Series, pp. 193- 197, Academic Press, New York, 1971. [21] G. Nagy, "A Comparative Anatomy of Adaptive Nets and Related Structures," Adaptive Electronics, W. W. Gaertner, Ed., Artech House, 1972. [22] G. Nagy and J. Tolaba, "Nonsupervised Crop Classification through Airborne Multispectral Observations," IBM Journal of Research and Development, vol. 16, #2, pp. 138-153, March 1972. [23] G. Nagy, "Digital Image Processing Requirements in Remote Sensing for Earth Resources," Proceedings of the IEEE, vol. 60, #10, pp. 1177-1200, October 1972. [24] G. Nagy, "Adaptive Devices and Systems," Adaptive Electronics, W. W. Gaertner, Ed., Artech House, 1972 (reprint of earlier publication). [25] G. Nagy and M. Carlson Pennebaker, "A Step Toward Automatic Analysis of Student Programming Errors in a Batch Environment," International Journal of Man-Machine Studies, vol. 6, #5, pp. 553-578, September 1974. [26] R.N. Ascher and G. Nagy, "A Means for Achieving a High Degree of Compaction on Scan-Digitized Printed Text," IEEE Transactions on Computers, vol. 23, #11, pp. 1174-1179, October 1974. [27] E.A. Parrish, G. Nagy, Y.T. Chien, and A. Klinger, "New Directions in Machine Pattern Analysis," IEEE Spectrum, pp. 74-76, July 1975. [28] G. Nagy, "Digital Image Processing Requirements in Remote Sensing for Earth Resources," Machine Recognition of Patterns, A. K. Agrawala, Ed., pp. 381-404, IEEE Press, New York, 1977 (reprint of earlier publication). [29] G. Haralambopoulos and G. Nagy, "Profile of a University Computer User Community," International Journal of Man-Machine Studies, vol. 9, pp. 287-313, 1977. [30] S.K. Chang and G. Nagy, "Deposit-Slip-First Check Reading," IEEE Transactions on Systems, Man, and Cybernetics, vol. 7, #1, pp. 64-68, January 1977. [31] G. Nagy, "Feature Extraction on Binary Patterns," Machine Recognition of Patterns, A. K. Agrawala, Ed., pp. 124-129, IEEE Press, New York, 1977 (reprint of earlier publication). [32] G. Nagy, "Digital Image Processing Requirements in Remote Sensing for Earth Resources," Digital Image Processing for Remote Sensing, L. Bernstein, Ed., pp. 234-257, IEEE Press, New York, 1978 (reprint of earlier publication). February 20, 2021 Nagy – Journal papers and book chapters 3 of 26 [33] G. Nagy and L. Wilson, "Program Portability from the Perspective of Students at the University of Nebraska," ACM SIGCSE Bulletin, pp. 59-62, June 1978. [34] K. Bhaskar, D.W. Embley, and G. Nagy, "Computer-Aided Instruction for Administrative Forms," The Journal - Technological Horizons in Education, vol. 5, #4, pp. 28-31, July/August 1978. [35] D.W. Embley, M.T. Lan, D.W. Leinbaugh, and G. Nagy, "A Procedure for Predicting Program Editor Performance from the User's Point of View," International Journal of Man-Machine Studies, vol. 10, pp. 639-650, 1978. [36] G. Nagy and S. Wagle, "Geographic Data Processing," ACM Computing Surveys, vol. 11, #2, pp. 139-181, June 1979. [37] G. Nagy and S. Wagle, "Approximation of Polygonal Thematic Maps by Cellular Maps," Communications of the ACM, vol. 22, #9, pp. 518-525, September 1979. [38] G. Nagy, "State of the Art in Pattern Recognition," Current Contents "Citation Classic", pp. 12, January 22, 1979. [39] G. Nagy and S. Wagle, "Computational Geometry and Geography," Professional Geographer, vol. 3, #32, 1980. [40] G. Nagy, "What is a 'Good' Data Structure for 2-D Points?" Map Data Processing, H. Freeman, Ed., pp. 119-136, Academic Press, New York, 1980. [41] W. Brogan and G. Nagy, "Lacunae in the Theory of Digital Image Registration," Pattern Recognition in Practice, E. S. Gelsema and L. N. Kanal, Eds., pp. 61-74, North Holland, Amsterdam, 1980. [42] P. Anandan, D.W. Embley, and G. Nagy, "An Application of File-Comparison Algorithms to the Study of Program Editors," International Journal of Man- Machine Studies, vol. 13, pp. 201-211, 1980. [43] G. Nagy and S. Wagle, "Development of Drainage-Basin and Soil-Type Data Base in Nebraska," Cartographic and Statistical Data Bases and Mapping Software, vol. 8, pp. 71-102, Harvard Library of Computer Graphics, 1980. [44] G. Nagy and D.W. Embley, "Empirical and Formal Methods for the Study of Computer Editors," Computing Skills and the User Interface, M. Coombs, Ed., pp. 465-496, Academic Press, 1981. [45] G. Nagy and D.W. Embley, "Behavioral Aspects of Text Editors," ACM Computing Surveys, vol. 13, #1, pp. 33-70, March 1981. [46] A.L. Zobrist and G. Nagy, "Pictorial Information Processing of Landsat Data for Geographical Analysis," IEEE Computer, vol. 14, #11, pp. 34-42, November 1981. [47] G. Nagy and D.W. Embley, "SIMPLE - A Programming Environment for Beginners," ACM SIGCSE Bulletin, vol. 13, #14, pp. 7-12, December 1981. [48] G. Nagy, "Optical Character Recognition -- Theory and Practice," Handbook of Statistics II, P. R. Krisnaiah and L. N. Kanal, Eds., pp. 621-649, North Holland, Amsterdam, 1982. [49] G. Nagy, "Candide's Practical Principles of Experimental Pattern Recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 5, #2, pp. 199-200, March 1983. February 20, 2021 Nagy – Journal papers and book chapters 4 of 26 [50] G. Nagy and B. Cooper, "Computer Graphics: Information Management Becomes an Art," Words, vol. 11, #5, pp. 14-17, International Information/Word Processing Association, February-March 1983. [51] G. Nagy, "Optical Scanning Digitizers," IEEE Computer, vol. 16, #5, pp. 13-25, May 1983. [52] R.G. Casey and G. Nagy, "Decision Tree Design Using a Probabilistic Model," IEEE Transactions on Information Theory, vol. 30, #1, pp. 93-99, January 1984. [53] G. Nagy, "Advances in Information Extraction Techniques," Remote Sensing of Environment, vol. 15, #2, pp. 167-175, March 1984 (invited article). [54] G. Nagy, "A Critical Analysis of Remote Sensing Technology," Digital Image Analysis, S. Levialdi, Ed., pp. 88-101, Pitman Publishing, London, 1984. [55] L. De Floriani, B. Falcidieno, G. Nagy, and C. Pienovi, "A Hierarchical Structure for Surface Approximation," Computers and Graphics, vol. 8, #2, pp. 183-193, 1984. [56] G. Nagy, "Image Database," Image and Vision Computing, vol. 3, #3, pp. 111- 117, Butterworth and Co., August 1985. [57] L. De Floriani, B. Falcidieno, C. Pienovi, and G. Nagy, "Efficient Selection, Storage, and Retrieval of Irregularly Distributed Elevation Data," Computers and Geosciences, vol. 11, #6, pp. 667-673, November 1985. [58] G. Nagy, S.C. Seth, and S.D. Stoddard, "Document Analysis with an Expert System," Pattern Recognition in Practice II, E. S. Gelsema and L. N. Kanal, Eds., pp. 149-159, 1986. [59] P. Swain and G. Nagy, "Foreword, Special Issue," IEEE Transactions on Geoscience and Remote Sensing, vol. 25, #3, pp. 254-257, May 1987. [60] G. Nagy, S. Seth, and K. Einspahr, "Decoding Substitution Ciphers by means of Word Matching with Application to OCR," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.
Recommended publications
  • Aspaandra Born Lane A
    LIST OF PUBLICATIONS August 19, 2021 Lane A. Hemaspaandra born Lane A. Hemachandra) BOOKS 1. Complexity Theory Retrospective II, L. Hemaspaandra and A. Selman, editors, Springer-Verlag, softcover edition (original edition is entry 6), ISBN 1461273196, 2012. 2. Theory of Semi-Feasible Algorithms, L. Hemaspaandra and L. Torenvliet, Monographs in Theoretical Computer Science, an EATCS Series, Springer-Verlag, softcover edition (orig- inal edition is entry 4), ISBN 3-642-07581-0, 2010. 3. The Complexity Theory Companion, L. Hemaspaandra and M. Ogihara, Texts in Theoretical Computer Science, an EATCS Series, Springer-Verlag, softcover edition (origi- nal edition is entry 5), ISBN 3-642-08684-7, 2010. 4. Theory of Semi-Feasible Algorithms, L. Hemaspaandra and L. Torenvliet, Monographs in Theoretical Computer Science, an EATCS Series, Springer-Verlag, hardcover, ISBN 3-540- 42200-5, 2003. 5. The Complexity Theory Companion, L. Hemaspaandra and M. Ogihara, Texts in Theoretical Computer Science, an EATCS Series, Springer-Verlag, hardcover, ISBN 3-540- 67419-5, 2002. 6. Complexity Theory Retrospective II, L. Hemaspaandra and A. Selman, editors, Springer-Verlag, ISBN 0-387-94973-9, 1997. BOOK CHAPTERS 7. The Power of Self-Reducibility: Selectivity, Information, and Approximation, L. Hemaspaandra, in Complexity and Approximation, eds. D.-Z. Du and J. Wang, pp. 19{47, Springer, 2020. 8. Credimus, E. Hemaspaandra, and L. Hemaspaandra, in The Future of Economic Design: The Continuing Development of a Field as Envisioned by Its Researchers, eds. J.-F. Laslier, H. Moulin, R. Sanver, and W. Zwicker, pp. 141{152, Springer, 2019. 9. That Most Important Intersection, L. Hemaspaandra, in Adventures Between Lower Bounds and Higher Altitudes: Essays Dedicated to Juraj Hromkoviˇc on the Occasion of his 60th Birthday, eds.
    [Show full text]
  • Curriculum Vitae
    1 CURRICULUM VITAE Name: Steven Skiena Date of birth: January 30, 1961 Office: Dept. of Computer Science Home: 6 Storyland Lane State University of New York Setauket, NY 11733 Stony Brook, NY 11794 Tel.: (631) 689-5477 Tel.: (631)-632-8470/9026 email: [email protected] URL: http://www.cs.sunysb.edu/˜skiena Education University of Illinois at Urbana-Champaign, Fall 1983 to Spring 1988. M.S. in Computer Science May 1985, Ph.D in Computer Science May 1988. Cumulative GPA 4.87/5.00. University of Virginia, Charlottesville VA, Fall 1979 to Spring 1983. B.S. in Computer Science with High Distinction, May 1983. Final GPA 3.64/4.0, with 4.0+ GPA in Computer Science. Rodman Scholar, Intermediate Honors, Tau Beta Pi. Employment SUNY Stony Brook, Professor of Computer Science, fall 2001 to date. Associate Professor of Com- puter Science, fall 1994 to spring 2001. Assistant Professor of Computer Science, fall 1988 to spring 1994. Also, Adjunct Professor of Applied Mathematics, spring 1991 to date. Affiliated faculty, Dept. of Biomedical Engineering and Graduate Program in Genetics. Hong Kong University of Science and Technology (HKUST), Visiting Professor, Dept. of Computer Science and Engineering, fall 2008 to summer 2009. Caesarea Edmond Benjamin de Rothschild Foundation Institute for Interdisciplinary Applications of Computer Science, University of Haifa, Israel, fall 2001 to spring 2002. DIMACS, Rutgers University, visitor, fall 1994 to spring 1995. Apple Computer, Advanced Technology Group, Cupertino CA, summer 1988. University of Illinois, Urbana IL, teaching assistant, fall 1983 to spring 1987. fellowship, summer 1987. research assistant, fall 1987 to spring 1988.
    [Show full text]
  • Data Clustering: a Review A.K
    Data Clustering: A Review A.K. JAIN Michigan State University M.N. MURTY Indian Institute of Science AND P.J. FLYNN The Ohio State University Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many disciplines; this reflects its broad appeal and usefulness as one of the steps in exploratory data analysis. However, clustering is a difficult problem combinatorially, and differences in assumptions and contexts in different communities has made the transfer of useful generic concepts and methodologies slow to occur. This paper presents an overview of pattern clustering methods from a statistical pattern recognition perspective, with a goal of providing useful advice and references to fundamental concepts accessible to the broad community of clustering practitioners. We present a taxonomy of clustering techniques, and identify cross-cutting themes and recent advances. We also describe some important applications of clustering algorithms such as image segmentation, object recognition, and information retrieval. Categories and Subject Descriptors: I.5.1 [Pattern Recognition]: Models; I.5.3 [Pattern Recognition]: Clustering; I.5.4 [Pattern Recognition]: Applications— Computer vision; H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval—Clustering; I.2.6 [Artificial Intelligence]: Learning—Knowledge acquisition General Terms: Algorithms Additional Key Words and Phrases: Cluster analysis, clustering applications, exploratory data analysis, incremental clustering, similarity indices, unsupervised learning Section 6.1 is based on the chapter “Image Segmentation Using Clustering” by A.K. Jain and P.J. Flynn, Advances in Image Understanding: A Festschrift for Azriel Rosenfeld (K.
    [Show full text]
  • Richard Ryan Williams MIT CSAIL, 32 Vassar St., Cambridge, MA 02139 Email: [email protected]
    Richard Ryan Williams MIT CSAIL, 32 Vassar St., Cambridge, MA 02139 Email: [email protected] POSITIONS Massachusetts Institute of Technology (Cambridge, MA) Professor of Electrical Engineering and Computer Science, July 2020 – present. Associate Professor (with tenure) of EECS, Jan. 2017 – Jun. 2020. University of California, Berkeley Visiting Professor of EECS, Aug. 2018 – Dec. 2018. Visiting Scientist at the Simons Institute, Aug. 2014 – Dec. 2014 and Aug. 2015 – Dec. 2015. Stanford University (Stanford, CA) Assistant Professor of Computer Science, Sept. 2011 – Dec. 2016. IBM Almaden Research Center (San Jose, CA) Josef Raviv Postdoctoral Fellow, Sept. 2009 – Sept. 2011. Managers: T. S. Jayram and Ken Clarkson. Institute for Advanced Study (Princeton, NJ) Member of the School of Mathematics, Sept. 2008 – Sept. 2009. Mentor: Avi Wigderson. Carnegie Mellon University (Pittsburgh, PA) Postdoctoral Research Fellow, Sept. 2007 – August 2008. Mentor: Manuel Blum. EDUCATION Carnegie Mellon University (Pittsburgh, PA) Ph.D. in Computer Science, August 2007. Thesis Title: Algorithms and Resource Requirements for Fundamental Problems Advisor: Manuel Blum Cornell University (Ithaca, NY) Master of Engineering in Computer Science, 2002 Bachelor of Arts in Computer Science and Mathematics with Honors, 2001. SELECTED • Best Paper Award, 22nd Conference on Satisfiability Testing (SAT), 2019. HONORS • Google Faculty Research Award, 2019. • NSF CAREER Award, 2015. • Invited speaker, International Congress of Mathematicians (ICM), 2014. • Microsoft Research Faculty Fellow, 2013. • Alfred P. Sloan Research Fellow, 2013-2015. • Notable Article of 2013 by ACM Computing Reviews. • US Junior Oberwolfach Fellow, 2013. • David Morgenthaler II Faculty Fellow, School of Engineering, Stanford, 2011. • Best Paper Award from the IEEE Conf. on Computational Complexity (CCC), 2011.
    [Show full text]
  • (Α): Curriculum Vitae
    (α): Curriculum Vitae Office address: Home address: Marios Mavronicolas Marios Mavronicolas Department of Computer Science 9 Kalymnou Str. University of Cyprus Rita Court No. 2 P. O. Box 20537 Apt. 32 Nicosia, CY-1678, Cyprus; Nicosia, CY-2002, Cyprus Tel No: + 357-22892702 Tel No: + 357-22514611 Fax No: + 357-22892701 Mobile: + 357-99685744 Email: [email protected] Personal Home Page: http://www2.cs.ucy.ac.cy/∼mavronic/index.htm Personal Born in Limassol, Cyprus, on August 22, 1960; Greek; Cypriot Citizen; Marital Status: Single; Languages: Greek (native) and English; Completed military service (July 1978–September 1980) Research Algorithmic Game Theory Interests Computation of Nash Equilibria, Price of Anarchy, Mechanism Design (Current) Distributed Computing Distributed Algorithms and Complexity, Distributed Data Structures, Lower Bounds and Impossibility Results; concrete foundational problems such as Counting, Synchronization and Leader Election. Networking Theory Communication Algorithms, Lower Bounds and Impossibility Results; concrete problems such as Flow Control, Routing, Packet-Switching and Queueing; con- crete domains such as Non-Cooperative Networks, Sensor Networks, Mobile Net- works and Ad-hoc Wireless Networks. Theory of Computation Computational Complexity, Approximation Algorithms, Randomized Algo- rithms Discrete Mathematics Graph Theory, Combinatorics Teaching Theoretical Computer Science Interests Theory of Computation, Design and Analysis of Algorithms, Algorithms and Complexity, Data Structures, Distributed Computing,
    [Show full text]
  • Page 1 of 34 WU Wien Journal Rating 9/18/2002
    WU Wien Journal Rating Page 1 of 34 WU Wien FIDES Homepage FIDES Database Research Assessment Rating Definitions Subject Areas FIDES Journal Rating 2002 Subject Journal Rating Index Area >> A Abacus A BW Absatzwirtschaft. Zeitschrift für Marketing D BW Academija MM C BW Academy of Management Executive A SSCI BW Academy of Management Journal A+ SSCI BW Academy of Management Review A+ SSCI BW Academy of Marketing Science Review (Online) B BW Accounting and Finance A BW Accounting Business and Financial History B BW Accounting Horizons C BW Accounting, Management and IT B WI Accounting, Organization and Society A BW Accounting Review A SSCI BW ACM APL Quote Quad, SIGAPL Special Interest Group APL B BW, WI ACM Collected Algorithms (CALGO) B WI ACM Computing Reviews A BW, WI ACM Computing Surveys A SCI BW, WI ACM Intelligence: New Visions of AI in Practice B WI ACM interactions: New Visions of Human-Computer Interaction B WI ACM Journal of Educational Resources in Computing (JERIC) A BW, WI ACM Journal of Experimental Algorithms (JEA) A BW ACM netWorker: The Craft of Network Computing C WI ACM SIGaRT Bulletin, Special Interest Group on Artificial Intelligence B FW, WI ACM SIGCHI Bulletin C WI ACM SIGCSE Bulletin: Inroads, Special Interest Group on Computer Science Education C WI ACM SIGKDD Explorations, Special Interest Group on Knowledge Discovery and Data Mining C WI ACM SIGMOD Record, Special Interest Group on Management of Data C WI ACM SIGPLAN Notices, Special Interest Group on Programming Languages D SCI WI ACM SIGSIM Simulation Digest
    [Show full text]
  • ACM Digital Library Brochure (Booklet)
    Today’s Research Driving Tomorrow’s Technology For more information about the ACM Digital Library & Guide to Computing Literature, please visit www.librarians.acm.org or contact ACM at [email protected], or call +1-212-626-0676 Request a free trial of the ACM Digital Library today at [email protected] http://dl.acm.org More than 60 years of history. Over 110,000 members in 190 countries worldwide. 37 Special Interest Groups covering the breadth of computer science and IT. Welcome to the ACM. Knowledge That Inspires ACM was established when computer science was in its infancy. We’ve published the work of the early pioneers whose ideas have had a profound effect on the world around us, shaping the technology that is now part of our everyday lives. Contents Today, ACM continues to bring the discoveries 2 About ACM of those working at the forefront of computer 4 About the ACM Digital Library science to the attention of the world. Through 6 Key Facts About the Digital Library our conferences, journals, magazines, 8 Key Features of the Digital Library newsletters and books, we provide the fuel 10 ACM Conferences 12 ACM Journals and Magazines that inspires tomorrow’s innovations. 16 ACM SIG Newsletters 18 ACM Books 20 ACM Computing Reviews 22 Supporting Authors 24 Supporting the Information Community 26 Purchasing and Accessing ACM DIGITAL LIBRARY | 1 ABOUT ACM More than 60 years of history. Over 110,000 members in 190 countries worldwide. 37 Special Interest Groups covering the breadth of computer science and IT. Welcome to ACM.
    [Show full text]
  • BILL P. BUCKLES Professor Department Computer Science and Engineering University of North Texas
    BILL P. BUCKLES Professor Department Computer Science and Engineering University of North Texas EDUCATION B.S., Mathematics, East Tennessee State University, 1967 M.S.O.R., Operations Research, University of Alabama in Huntsville, 1977 M.S., Computer Science, University of Alabama in Huntsville, 1979 Ph.D., Operations Research, University of Alabama in Huntsville, 1981 PROFESSIONAL EXPERIENCE University of North Texas 2006–present Professor of Computer Science & Engineering Taught Image Processing, Artificial Intelligence, Sensor Fusion, Data Structures, Graph Theory, and others Tulane University 1987–2006 Professor of Computer Science (From 1990) and Yahoo! Founders Chair (From 2002) Taught Databases, Compiler Design, Artificial Intelligence, Data Structures, Analysis of Algorithms, Image Processing, and others University of Texas at Arlington 1981–87 Associate Professor of Computer Science (Tenured from 1986) Taught Data Structures, Survey of Algorithmic Languages, Discrete Mathematics, Artificial Intelligence, List Processing, Databases, Compiler Design University of Alabama in Huntsville 1972–81 Part-time Lecturer in Computer Science Department Taught Compiler Construction, Data Structures, Computer Organization Comparative Programming Languages, Operating Systems General Research Corporation 1978–81 Member Technical Staff Multi-computer software design techniques, computer emulation methods Science Applications Inc. 1975–78 Scientist Designed and developed software engineering tools including a software design language, static code analyzer, and relational database Computer Sciences Corporation 1968–75 Computer Scientist Developed Fortran compiler, graphics language interpreter, telecommunications systems, assembler and O/S for prototype computer, hardware instructions sets Lockheed-Georgia Corporation 1967–68 Associate Scientific Programmer Developed graphics applications. 1 PUBLICATIONS Books 1. B. P. Buckles and F. E. Petry (editors), Genetic Algorithms: Introduction and Applications, IEEE Computer Society Press, Catalog #2935, Los Alamitos, CA, 1992.
    [Show full text]
  • NSU Graduate School of Computer and Information Sciences Faculty
    Faculty Viewbook From the Dean Welcome to the Graduate School of Computer and Information Sciences. Thank you for your interest in the Graduate School of Computer and Information Sciences at Nova Southeastern University (NSU). We are a unique graduate school with faculty and staff members and alumni working together to help each of you succeed. In this era of rapid technological growth, each new day brings demands for increased proficiencies from those in the professions involving computer and information technology. Earning a graduate degree in the various computer disciplines requires hard work. Through your efforts, you will be able to make a difference, whether big or small, in your community and in the world. The full-time faculty of the Graduate School of Computer and Information Sciences (GSCIS) at NSU consists of 21 nationally and internationally recognized scholars who work in diverse fields within the computer and information sciences field. Our professors are experienced professionals, experts in their fields, and excellent teachers. Their publications reflect a wide range of interests and expertise, ongoing participation in important scholarly debates, and significant contributions to the study and teaching of computer and information sciences. They are enthusiastic about getting to know you and helping you develop into an effective and successful professional. All of us are here to welcome you, support you, and help you create opportunities for your future success. We invite you to become part of the GSCIS community. Sincerely, Eric S. Ackerman, Ph.D. Dean and Associate Professor 01000111 01001111 01010011 01001000 01000001 01010010 01001011 01010011 Our faculty members belong to a number of professional associations, are editors of several publications, and lead several research initiatives.
    [Show full text]