Laboratory of Optimization and Intelligent Systems

A LaTeX2e class file for formatting documents according to the Dissertation Instruction Packet’s guidelines for theses at the University of Oklahoma (with respect to Fall 2008 guidelines) is available on this website. The class file is licensed under the GNU GPL license and can be downloaded free of charge on this page (an example of use is given inside the outhesis.cls file).

The conference on Dynamics of Disasters CDD-2006 took place in Athens, Greece, on October 5-7, 2006. For further information, visit the website.

The second place for the Technical Paper Competition and Poster Session of the NSBE 2006 conference at Pittsburg, PA, was given to the following paper:

• O. O. Oladunni and T. B. Trafalis, “Tornado detection via a knowledge-based classification model,” in Technical Proceedings of the 32nd NSBE Annual Convention, Boston, Massachusetts, USA, 2006.

The best paper award of the International Conference on Computer Science 2006, Reading, United Kingdom, was given to the following paper:

• O. O. Oladunni, T. B. Trafalis, and D. V. Papavassiliou, “Knowledge-based multiclass support vector machines applied to vertical two-phase flow,” in Computational Science — ICCS 2006. 6th International Conference, Proceedings, Part I, 2006, pp. 188-195.

The Best Paper Award in Theoretical Developments in Computational Intelligence of the International Conference on Artificial Neural Networks in Engineering ANNIE 2003 was given for the following paper:

• T. B. Trafalis and S. A. Alwazzi, “Robust support vector regression and applications,” in Intelligent Engineering Systems Through Artificial Neural Networks. Proceedings of ANNIE 2003 Conference, 2003, pp. 181-186.

The Best Paper Award in Novel Smart Engineering System Design of the International Conference on Artificial Neural Networks in Engineering ANNIE 2002, was given for the following paper:

• T. B. Trafalis, B. Santosa, and M. B. Richman, “Prediction of rainfall from WSR-88D radar using support vector regression,” in Intelligent Engineering Systems Through Artificial Neural Networks. Proceedings of ANNIE 2002 Conference, 2002, pp. 639-644.