Gasser Auda, Associate Professor
Ph.D., University of Waterloo, Canada, 1996

Address:
Department of Computer Science
College of Engineering American University of Sharjah
P.O. Box 26666
Sharjah, United Arab Emirates

Room: EL121
Office: + (971) 6 515 2559
Fax: + (971) 6 515 2979
E-mail:gauda@aus.edu

Research Interests

Systems theory, neural networks and intelligent systems

Biography

Gasser Auda has a multidisciplinary background that includes systems engineering, computer engineering and computer science. He received his Ph.D. in Systems Analysis and Design from University of Waterloo, Canada, in 1996. He has published a number of papers on systems theory, neural networks and intelligent systems. He administrated research projects funded by the Canadian Centre for Research in Earth and Space Technology (CRESTech), the Natural Sciences and Engineering Research Council of Canada (NSERC), Communications and Information Technology Ontario (CITO), and the North Atlantic Treaty Organization (NATO). He is a fellow of the International Institute of Advanced Systems Research and a referee for the Natural Sciences and Engineering Research Council of Canada (NSERC) Strategic Grants, the Canada Foundation for Innovation (CFI) Federal Infrastructure University Grants, the Journal of Computing and Informatics, IEEE Transactions on Neural Networks, and IEEE Transactions on Systems, Man, and Cybernetics. He is also interested in the philosophy of law and ethics as they apply to information technology.

Selected Publications

Reviewed Books

1. G. Auda (2004). Modular Neural Network Systems: Design and Applications. Transworld.

Reviewed Book Chapters

1. G. Auda et al (2004). “An Active-Vision Intelligent Traffic Monitoring System.” Recent Research Developments in Pattern Recognition Vol. 4, Chapter 1, pp. 1-13. Transworld.

Refereed Journal Papers

1. G. Auda, K. Assaleh, D. Ramachandran and A. Anand (2004). “Human Face Recognition using a Modular Neural Network System.” International Journal of Computers and Their Applications (under review).
2. G. Auda (2004). “Systematic Divide and Conquer in MNN Designs.” International Journal IIAS -Transactions on Systems Research and Cybernetics, Vol. 4, No. 1, pp.11-14.
3. G. Auda and A. Al-Soufi (2003). “A Neural Network Intelligent E-Advisor System.” International Journal IIAS -Transactions on Systems Research and Cybernetics, Vol. 3, No. 1, pp. 32-36.
4. El-Rabbany, G. Auda and S. Abdel-Azeem (2002). “Predicting Sea Ice Conditions Using Neural Networks.” The UK Journal of Navigation. Vol. 55, No. 1, Jan. pp. 137-143.
5. G. Auda and M. Kamel (2000). “A Modular Neural Network for Vague Classification.” Lecture notes in Computer Science; Vol. 2005: Lecture notes in Artificial Intelligence, pp. 584-589.
6. N. Wanas, M. Kamel, G. Auda and F. Karray (1999). “Feature Based Decision Aggregation in Modular Neural Network Classifiers.” Pattern Recognition Letters, Vol. 20, pp. 1353-1359.
7. G. Auda and M. Kamel (1999). “Modular Neural Networks: A Survey.” International Journal of Neural Systems, Vol. 9(2), pp. 129-151.
8. G. Auda and M. Kamel (1998). “Cooperative Modular Neural Network Classifiers.” Neurocomputing Journal, Vol. 20, pp. 189-207.
9. G. Auda and M. Kamel (1998). “Modular Neural Network Classifiers: A Comparative Study.” Journal of Intelligent and Robotics Systems, Vol. 21, pp.117-129.
10. G. Auda and M. Kamel (1997). “CMNN: Cooperative Modular Neural Networks.” Pattern Recognition Letters, Vol. 18, pp. 1391-1398.
11. G. Auda, A. El-Dessouki and A. Darwish (1993). “A Comparative Study of Some Supervised Neural Networks.” The Egyptian Computer Journal, Vol. 21, pp. 97-104.

Refereed Conference Papers

1. K. Assaleh, G. Auda, D. Ramachandran and A. Anand (2005). “A New Effective Feature Vector for Face Recognition.” Submitted to International Conference on Artificial Intelligence and Applications (AIA 2005), Innsbruck, Austria, February.
2. G. Auda (2004). “Systematic Divide and Conquer in MNN Designs.” Sixteenth International Conference on Systems Research, Informatics and Cybernetics, Baden-Baden, Germany, July 28-August 2 (invited paper).
3. G. Auda (2004). “A Critique of Using Machine Intelligence for e-Decision-Making.” International Conference on Knowledge Management (KMICE 2004), Malaysia, February 13-15.
4. G. Auda and A. Soufi (2003). “A Neural Network Intelligent E-Advisor System.” Fifteenth International Conference on Systems Research, Informatics and Cybernetics, Baden-Baden, Germany, July 28-August 2 (invited paper).
5. M. El-Diasty, A. El-Rabbany, G. Auda (2002). “Predicting Sea Ice Conditions for Marine Operations in Ice-Covered Waters.” Proceedings of the Oceans 2002 MTS/IEEE Conference, Biloxi, Mississippi, USA, October 29-31, pp. 1234-1243.
6. G. Auda, C. Mohamed, N. Goplani, and F. Ahmadi (2002), “An Automatic Intelligent Retinopathy Screening System.” Second International Symposium on Informational Medicine, Baden-Baden, Germany, July 29-August 3 (Keynote Presentation)
7. H. Hasan, S. Abdel-Azeem, and G. Auda (2002). “Modular Neural Networks for Automatic Retinopathy Screening.” International Conference on Artificial Intelligence and Soft Computing (ASC 2002), Banff, Canada, July 17-19.
8. S. Abdel-Azeem and G. Auda (2002). “An Algorithm for Enhancing Retinal Vessel Detection Filters.” Medical Image Understanding and Analysis Conference, the University of Portsmouth, UK, July 22-23.
9. A. El-Rabbany, G. Auda, S. Abdel-Azeem, C. Lapointe and D. Coleman (2002). “An Integrated Navigational Chart System for Marine Navigation in Ice Infested Waters.” International Conference on Marine Navigation and Technology, Alexandria, Egypt, January 15-17.
10. G. Auda, A. El-Rabbany, and S. Abdel-Azeem (2001). “Ice Motion Prediction Using Neural Networks.” Proceedings of the Twenty-third Canadian Symposium on Remote Sensing, Laval University, Québec, Canada, August 20-24.
11. S. Abdel-Azeem, M. Hafez, and G. Auda (2001). “Using Circular Hough Transform for Detecting Microaneurysms in Fluorescein Angiograms of the Ocular Fundus.” International Conference on Industrial Electronics, Technology and Automation (IETA2001), December 19-21.
12. T. Rabie, G. Auda, A. El-Rabbany, A. Shalaby and B. Abdulhai (2001). “Active-Vision-based Traffic Surveillance and Control.” Proceedings of the Fourteenth Canadian Vision Interface Conference (VI 2001), Ottawa, Canada, June 7-9.
13. H. Hasan, S. Abdel-Azeem, G. Auda, and M. Rashwan (2001). “Detection of Diabetic Retinopathy Using Modular Neural Networks through Data Reduction.” International Conference on Industrial Electronics, Technology and Automation, Cairo, Egypt, December 19-21.
14. T. Rabie, G. Auda, A. El-Rabbay, A. Shalaby, and B. Abdulhai (2001). “An Innovative Active-Vision-Based Approach for Traffic Surveillance and Control.” International Conference on Transportation Systems, January 3-7, Cairo, Egypt.
15. G. Auda and M. Kamel (2000). “A Modular Neural Network for Vague Classification.” Second International Conference on Rough Sets and Current Trends in Computing (RSCTC’2000), October 16-19, Banff, Canada.
16. G. Auda (2000). “Modularity, Cooperation and Specialization: Visual-cortex Motivations for Designing Artificial Neural Classifiers.” Poster, Annual Seminar on Cognitive Sciences, May 18-21, Banff, Canada.
17. L. Hodge, G. Auda, and M. Kamel (1999). “Learning Decision Fusion in Cooperative Modular Neural Networks.” International Joint Conference on Neural Networks, Washington, DC, USA.
18. N. Wanas, M. Kamel, G. Auda, and F. Karray (1999). “Feature-based Decision Aggregation in Modular Neural Network Classifiers.” Pattern Recognition in Practice VI, The Netherlands.
19. M. Habib and G. Auda (1998). “Lateral Motion Control of Intelligent Transport Systems.” Fourth International Symposium on Advanced Vehicle Control, September 14-18, Nagoya, Japan.
20. M. Habib and G. Auda (1998). “Automatic Steering Driver Model for ITS.” Safety on Road: An International Conference (SORIC 98), pp. 149-155, October 26-28, Bahrain.
21. G. Auda and M. Kamel (1998). “EVOL: Ensembles Voting Online.” IEEE International Joint Conference on Neural Networks, pp. 1356-1360, May 4-9, Alaska, USA.
22. N. Wanas, G. Auda, M. Kamel and F. Karray (1998). “On the Optimal Number of Hidden Nodes in a Neural Network.” IEEE Canadian Conference on Electrical and Computer Engineering, 2, pp.918-921, May 24-28, Waterloo, Canada.
23. G. Auda and M. Kamel (1997). “CMNN: Cooperative Modular Neural Network Classifier.” IEEE International Conference on Neural Networks (ICNN'97), 1, pp.226-231, June 9-12, Houston, USA.
24. G. Auda and M. Kamel (1997). “Modular Neural Network Classifiers: A Comparative Study.” Third Conference on Neural Networks and their Applications (NEURAP'97), pp. 41-47, March 12-14, Marseilles, France.
25. G. Auda and M. Kamel (1997). “CMNN: Cooperative Modular Neural Network for Pattern Recognition.” Pattern Recognition in Practice, pp. 35, June 4-6, The Netherlands.

Theses

1. G. Auda (1996). “Cooperative Modular Neural Network Classifiers.” Ph.D. Thesis. Systems Design Engineering Department, University of Waterloo, Canada.
2. G. Auda (1992). “Performance Criteria for Neural Network Evaluation.” M.Sc. Thesis. Electronics and Communications Department, Cairo University, Egypt.

Research Projects