George Nagy

Professor

Department Affiliation:
Department of Electrical, Computer, & Systems Engineering

Education:
Ph.D., Cornell University, Electrical Engineering
M.S., McGill University, Electrical Engineering
B.S., McGill University, Engineering Physics

Research Areas:

• Design and evaluation of automated document entry (text, diagrams, maps).
• Application of knowledge-based systems to digital image analysis.
• Solid modeling and robust computational geometry; terrain visibility.
• Style-constrained and adaptive pattern recognition.

Research Summary:

• TANGO (Table Analysis for Generating Ontologies). Extraction of information from semi-formatted web pages (with BYU). Design and evaluation of automated document entry (text, tables, diagrams, maps). QBT (Query by Table)
• CAVIAR (Computer Assisted Visual Interactive Recognition).  
  Application of knowledge-based systems to digital image analysis. Interactive classification of flowers, faces, cervigrams, skin lesions.
• Adaptive and Style-constrained character recognition. Paper trail for trustworthy voting machines (with Lehigh University and BSU).
• Statistical models for VLSI fault testing (with UNL).

Selected Publications:

• J Zou and G. Nagy, "Human-computer interaction for complex pattern recognition problems”, in Data Complexity in Pattern Recognition, Data Complexity in Pattern Recognition, pp. 271-286, M. Basu and T. K. Ho, Eds., Springer, 2006.
• D. Lopresti, D.W. Embley, M. Hurst, and G. Nagy, "Table Processing Paradigms:  A Research Survey," International Journal of Document Analysis and Recognition, vol 8, no. 2-3, pp. 66-86, Springer, June 2006.
• G. Nagy and X. Zhang, "Simple statistics for complex features spaces," Data Complexity in Pattern Recognition, pp. 173-195, M. Basu and T. K. Ho, Eds., Springer, 2006.
• E. N. Landis, T. Zhang, E. N. Nagy, G. Nagy, W. R. Franklin, Cracking, damage and fracture in four dimensions, Materials and Structures, Vol 40, pp. 357–364, Springer, 2006.
• S. Veeramachaneni and G. Nagy, “Analytical results on style-constrained Bayesian classification of pattern fields,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, #7, pp. 1280-1285, July 2007.

Past Industrial Projects:

• 1992-2005, Hitachi Central Research Laboratory, Character Recognition for Postal Applications.

Honors and Awards:

• Life Fellow of the IEEE
• Fellow of the IAPR (International Association for Pattern Recognition)
• ICDAR Award for Lifetime Contributions (Document Analysis and Recognition)

Professional Activities:

• Registered Professional Engineer
• Fellow Committee, IEEE,
• IEEE Computer Society
• Member, ACM
• Referee of last resort (conflict resolution) for several journals
• Reviewer for government funding organizations in the US, Canada, Singapore
• Doctoral examination and faculty promotion committees in six countries
• Standing Committee for DIAL (Biennial Conference on Digital Libraries)
• UConn CSE Advisory Commiittee, 2002-2007
• Expert witness on OCR.

Contact Information:

George Nagy
Jonsson Engineering Center – Room 6020
Rensselaer Polytechnic Institute
110 8th Street
Troy, N.Y. 12180 USA
Phone: (518) 276-6078
Fax: (518) 276-6261
nagy@ecse.rpi.edu
http://www.ecse.rpi.edu/homepages/nagy/

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