Official Office Hours:
Monday   11:00am - 1:00pm
Tuesday  1:00pm - 2:00pm
Thursday 1:00pm - 2:00pm

The Times I am Usually in My Office
Monday    7:30am - 2:15pm
Tuesday   7:30am - 9:45am and 11:30am - 2:45pm and 5:30pm - 6:45pm
Thursday  7:30am - 9:45am and 11:30am - 2:15pm and 5:30pm - 6:45pm

Note that on Tuesdays and Thursdays during free-period (11:30am - 1:00pm), I may not be in my office
 

B.S., M.S., Saint Joseph’s University Ph.D., Temple University

Saint Joseph's University, Philadelphia, Pennsylvania USA

1. CSC 140 Information Theory

      Tuesday and Thursday 10:00am - 11:15am BL 225

2. CSC 201 Data Structures

       Monday and Thursday 2:30pm - 3:45pm BL 221        Tuesday                      3:00pm - 3:50pm BL 225

3. CSC 550 Object Oriented Design and Data Structures

      Tuesday and Thursday 7:00pm - 8:15pm BL 221

4. CSC 554 Theory of Computation

      Tuesday and Thursday 4:00pm - 5:15pm PO 203

5. CSC  281 Design and Analysis of Algorithms

      Independent study

Journal Articles Koknar-Tezel, S. and L. J. Latecki. Improving SVM Classification on Imbalanced Time Series Data Sets with Ghost Points. Knowledge and Information Systems, June 2010. Ghost Point software in MatLab: GhostPoints.zip Tezel, A., S. Koknar-Tezel, and G. McManus. A Goal Seek Macro for Sensitivity Analysis. Advances in Financial Education, Volume 4, Fall 2006. Tezel, A., and S. Koknar-Tezel. On Using Volatility Bands. Technical Analysis of Stocks & Commodities, October 1997.

Refereed Conference Papers Koknar-Tezel, S. and L.J. Latecki. Improving SVM Classification on Imbalanced Data Sets in Distance Spaces. IEEE Int. Conf. on Data Mining (ICDM 2009), December 2009, Miami, Florida, USA. (Acceptance Rate (regular papers) = 9%). Yang, X., S. K¨oknar-Tezel, and L.J. Latecki. Locally Constrained Diffusion Process on Locally Densified Distance Spaces with Applications to Shape Retrieval. Proceedings of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2009), June 2009, Miami, Florida, USA. (Acceptance Rate = 26.2%). Latecki, L.J., Q. Wang, S. Koknar-Tezel, and V. Megalooikonomou. Optimal Subsequence Bijection. Proceedings of the 7th IEEE Int. Conf. on Data Mining (ICDM 2007), October 2007, Omaha, Nebraska, USA. (Acceptance Rate = 19%). Latecki, L.J., S. Koknar-Tezel, Q. Wang, and V. Megalooikonomou. Sequence Matching Capable of Excluding Outliers. Workshop on Time Series Classification at ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD), August 2007, San Jose, CA, USA. Tezel, A., and S. Koknar-Tezel. Z-System: A Technical System Beats the Buy-and-Hold Strategy. Eastern Finance Association Meeting, April 1997, Panama City, FL, USA. Other Conference Papers Tezel, A., S. Koknar-Tezel, and G. McManus. A Goal Seek Macro for Sensitivity Analysis. 2004 Global Trends Conference of the Academy of Business Administration, December 2004, Jamaica. Tezel, A., and S. Koknar-Tezel. A Spreadsheet Macro and a Two-Stage Residual Income Growth Model. Financial Management Association, Annual Meeting, October 2003, Denver CO, USA. Submitted for Review Koknar-Tezel, S. and L. J. Latecki. Sequence matching as subsequence bijection. Yang, X., X. Bai, S. Koknar-Tezel, and L. J. Latecki. Densifying Distance Spaces.