INVITED TALKS AND ORAL PRESENTATIONS

1. “Hierarchical Clustering Support Vector Machines for Classifying Type-2 Diabetes Patients,” Oral Presentation, The International Symposium on Bioinformatics Research and Applications, Atlanta, 2008.

2. “Multiclass Fuzzy Clustering Support Vector Machines for Protein Local Structure Prediction,” Oral Presentation, The 7th IEEE International Conference on BioInformatics and BioEngineering (BIBE2007), Boston, 2007.

3. “Mutual Information based Minimum Spanning Trees Model for Selecting Discriminative Genes,” Oral Presentation, The 7th IEEE International Conference on BioInformatics and BioEngineering (BIBE2007), Boston, 2007.

4. “Clustering Support Vector Machines For Protein Structure Prediction,” Oral Presentation, the Third Annual USC Upstate Research Symposium, Spartanburg, 2007.

5. “Machine Learning Approaches for Protein Structure Prediction,” Invited talk, Special Topics Seminar: High Performance Computational Biology, Atlanta, September 2005.

6. “Protein Vocabulary and Grammar for Structure Prediction,” Invited talk, Molecular Basis of Disease Program Day, Atlanta, May 2005.

7. “Enzyme Inhibitor Design for Drug Discovery,” Invited talk, Monthly Meeting of GSU Bioinformatics Group, Georgia State University, Atlanta, April 2005.

8. “Discovery of Local Protein Sequence Motifs using Improved K-means Clustering Technique,” Oral Presentation, International Conference on Bioinformatics and Its Applications (ICBA2004), Fort Lauderdale, Florida, December 2004.

9. “Factoring Tertiary Classification into Binary Classification Improves Neural Network for Protein Secondary Structure Prediction,” Oral Presentation, IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB2004), San Diego, October 2004.

10. “Parallel Protein Secondary Structure Prediction Based on Neural Networks,” Oral Presentation, 26th Annual International Conference of the IEEE Engineering in Medicine and Biology (EMBC2004), San Francisco, September 2004.

11. “Protein Secondary Structure Prediction using Different Encoding Schemes and Neural Network Architectures,” Oral Presentation, SPIE’s Defense and Security 2004: Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology, Orlando, April 2004.

12. “Tertiary Classifier Design for Protein Structure Prediction Using Neural Networks,” Invited talk, Monthly Meeting of GSU Bioinformatics Group, Georgia State University, Atlanta, July 2003.