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Janice Glasgow

 
  Computational Imagery

 
  Contact Information:  
  Professor of Computing and Information Science
PhD in Computer Science from the University of Waterloo, 1983.

Tel: (613)533 6058
Fax: (613) 533 6513
email: janice@cs.queensu.ca


 
  Janice Glasgow is Head of the Department of Computing and Information Science at Queen's University, Kingston, Canada. She is the director of the Computational Imagery Laboratory and a co-director (with Suzanne Fortier) of the Molecular Scene Analysis Laboratory. She is also co-founder of the company Molecular Mining .

Janice Glasgow's primary research interests include the development of knowledge representation and reasoning tools for computational imagery. In particular, an approach to spatial reasoning has been developed using symbolic array models for spatial domains. The techniques and tools for computational imagery are currently being applied to the domain of scene analysis.



 
  Publications:  
  Jurisica, I., Rogers, P., Glasgow, J., Collins, R., Wolfley, J., Luft, J. and DeTitta, G., ``Improving Objectivity and Scalability in Protein Crystallization: Integrating Image Analysis with Knowledge Discovery", submitted to Intelligent Systems in Biology, Special Issue, IEEE Intelligent Systems, accepted August 2001.

Luft, J.R., Wolfley, J., Jurisica, I., Glasgow, J., Fortier, S. and DeTitta, G., ``Macromolecular Crystallization in a High Throughput Laboratory - the Search Phase", Journal of Crystal Growth, Vol. 232, 591-595, 2001.

Jurisica, I., Rogers, P., Glasgow, J., Fortier, S., Luft, J. Wolfley, J. Bianca, M., Weeks, D. and DeTitta, G., ``Intelligent Decision Support for Crystal Growth", IBM Systems Journal (Special Issue on Deep Computing for the Life Sciences), Vol. 40, No. 2, 2001.
Jurisica, I., Glasgow, J.I. and Mylopolous, J., ``Incremental Iterative Retrieval and Browsing for Efficient Conversational CBR Systems." International Journal of Applied Intelligence, Vol. 12, pp. 251-268, 2000.

Egenhofer, M., Glasgow, J., Gunther, O., Herring, J. and Peuquet, D., ``Progress in Computational Methods for Representing Geographical Concepts", International Journal of Geographical Information Science, Vol. 13, No. 8, pp. 775-796, December 1999.

Glasgow, J.I., ``A Computational Approach to Integrating Language and Vision", International Journal of Psychology, Special issue on Psychology and Cognitive Science, Vol. 33, No. 6, pp. 421-437, 1998.

Jurisica, I., Mylopoulos, J., Glasgow, J., Shapiro, H. and Casper, R.F., ``Case-Based Reasoning in IVF: Prediction and Knowledge Mining", AI in Medicine Journal, Vol. 12, No. 1, pp. 1-24, 1998.

Leherte, L., Glasgow, J.I., Fortier, S., Baxter, K. and Steeg, E., ``Analysis of Three-Dimensional Protein Images",Journal of AI Research (JAIR), No. 7, pp. 125-159, 1997.
Jurisica, I. and Glasgow, J.I., ``Improving Performance of Case-Based Classification Using Context Based Relevance", International Journal on Artificial Intelligence Tools, Special Issue of ICTAI Best Papers, Vol. 6, pp. 511-536, 1997.

Feret, M. and Glasgow, J.I., ``Combining Case-Based and Model-Based Reasoning for the Diagnosis of Complex Devices", Applied Intelligence, Vol. 7, No. 1, pp. 58-78, 1997.

Feret, M. and Glasgow, J.I., ``A Formal Model for Experience-Aided Diagnosis", Computational Intelligence, Vol. 13, No. 2, May 1997.

Conklin, D., Fortier, S., Glasgow, J.I. and Allen, F.H., ``Conformational Analysis from Crystallographic Data Using Conceptual Clustering", Acta Crystallographica, B52, pp. 535-549, 1996.

Leherte, L., Fortier, S., Glasgow, J.I. and Allen, F., ``Molecular Scene Analysis: A Topological Approach to the Automated Interpretation of Protein Electron Density Maps", Acta Crystallographica, D50, pp. 155-166, 1994.

Glasgow, J.I., ``The Imagery Debate Revisited: A Computational Perspective", Computational Intelligence (Taking issue position paper), Vol. 9, No. 4, pp. 309-333, 1993.