Phone :
+90 222 239 3750-3252
Fax :
+90 222 239 36 13
E-mail :
mlcvlab@ogu.edu.tr










ASS. PROF. DR. HAKAN ÇEVÝKKALP

ASS. PROF. DR. HAKAN CEVIKALP
Nationality : Turkish

Date of Birth : 08/15/1978

Place of Birth : Kýrklareli

E-mail : hakan.cevikalp@gmail.com

Tel : 222-239 37 50 / 3291

Address : Eskisehir Osmangazi University

Electrical-Electronics Engineering Department

26480 – Batý Meselik – Eskisehir

EDUCATION

ESKISEHIR OSMANGAZI UNIVERSITY (Turkey)
B.S. in Electrical and Electronics Engineering Department 1995-1999

M.S. in Electrical and Electronics Engineering Department 1999-2001

VANDERBILT UNIVERSITY (USA)

Ph. D. in Electrical Engineering and Computer Science Department 2001- 2005

M.S. Thesis Title: Improving Recognition Accuracies of Noisy Speech Signals

Ph. D. Thesis Title: Feature Extraction Techniques in High-Dimensional Spaces: Linear and Nonlinear Approaches

PROFFESSIONAL EXPERIENCES

Research Assistant 1999-2001

(Osmangazi University, Electrical and Electronics Engineering Department, Turkey)
Research Assistant 2002-2003

(Vanderbilt University, Electrical Engineering and Computer Science Department, USA)

Teaching Assistant 2003-2004

(Vanderbilt University, Electrical Engineering and Computer Science Department, USA)

Instructor 2005-2006

(Osmangazi University, Electrical and Electronics Engineering Department, Turkey

Post-Doc 2006-2007

(LEAR, INRIA RHONE-ALPES, FRANCE)

Post-Doc 2007- 2008

(Rowan University, Electrical and Computer Engineering Department, USA)

Ass. Prof. 2008-

(Osmangazi University, Electrical and Electronics Engineering Department. Turkey)

BRANCH OF STUDY
Neural Networks, Computer Vision, Optimization.

Signal and Image Processing, Pattern Recognition.

LANGUAGE SKILLS

English (High level of written and spoken)
Osmangazi Univ. Preparatory Prog. for English 1994-1995

COMPUTER SKILLS


Windows 95/98, MS Office applications, Matlab, Pspice,
Electronic Workbench, C++, Lisp.

INTERESTS

Reading Science & Computer Magazines, Listening to Music,

Tennis, Swimming.

PROFESSIONAL ACTIVITIES


Member: IEEE, PASCAL, ATA-SIU


REWARDS

1) First place in the Student Paper Competition of the 13th European Signal Processing Conference (EUSIPCO), 2005.

2) First place in the Alper Atalay Student Paper Competition of the 13th IEEE Signal Processing and Communications Applications Conference, 2005.

REFEREING

IEEE Transactions on Pattern Analysis and Machine Intelligence

IEEE Transactions on Neural Networks

IEEE Transactions on Systems, Man and Cybernetics -- Part B: Cybernetics

Pattern Recognition

Neurocomputing

Information Fusion

Image and Vision Computing Journal

IEE Proc. Vision, Image & Signal Processing

IEEE Computational Intelligence Magazine

ELCVIA (Electronic Letters on computer Vision and Image Analysis)


PUBLICATIONS
ABSTRACTS

1) W.C. Lavely, C. Scarfone, H. Cevikalp, R. Li, D. W. Byrne, A. J. Cmelak, R. R. Price, D. E. Hallahan, J. M. Fitzpatrick, ``Phantom Validation of Coregistration of PET and CT for Image-guided Radiotherapy", Ann. Mtg. Radiol. Soc. N. America, Chicago, IL (Nov 2003).

JOURNALS

1) H. Cevikalp and R. Polikar, “Local classifier weighting by quadratic programming,” IEEE Transactions on Neural Networks, vol. 19, pp. 1832-1838, 2008.

2) H. Cevikalp, D. Larlus, M. Neamtu, B. Triggs, and F. Jurie, “Manifold based local classifiers: linear and nonlinear approaches,” Journal of Signal Processing Systems, in press.

3) H. Cevikalp, H. S. Yavuz, A. M. Cay, and A. Barkana, “Two dimensional subspace classifiers for face recognition,” Neurocomputing, vol. 72, pp. 1111-1120.

4) H. Cevikalp, M. Neamtu, and A. Barkana, “The Kernel Common Vector Method: A Novel Nonlinear Subspace Classifier for Pattern Recognition,” IEEE Trans. On Systems, Man, and Cybernetics—Part B: Cybernetics, 37(3), pp. 937-951, 2007.

5) H. Cevikalp, M. Neamtu, and M. Wilkes, “Discriminative common vector method with kernels,” IEEE Trans. on Neural Networks, 17(5), pp.1550-1565, November 2006.

6) H. Cevikalp, M. Neamtu, M. Wilkes, and A. Barkana, “Discriminative common vectors for face recognition,” IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 27, January 2005.

7) W.C. Lavely, C. Scarfone, H. Cevikalp, R. Li, D. W. Byrne, A. J. Cmelak, B. M. Dawant, R. R. Price, D. E. Hallahan, J. M. Fitzpatrick, “Phantom Validation of Coregistration of PET and CT for Image-guided Radiotherapy,” Medical Physics, 2004 May; 31(5):1083-92.

CONFERENCES

1) H. S. Yavuz and H. Cevikalp, “Multilinear-CLAFIC methods for tensor data in image recognition,” (in Turkish) IEEE Signal Processing and Communications Applications Conference, Side, April 2009.

2) H. Cevikalp and R. Paredes, “Semi-supervised distance metric learning for visual object classification,” 4th International Conference on Computer Vision Theory and Applications, Lisbon, Portugal, 2009.

3) H. Cevikalp, B. Triggs, and R. Polikar, “Nearest hyperdisk methods for high-dimensional classification,” International Conference on Machine Learning, Helsinki, Finland, July 5-9, 2008.

4) H. Cevikalp, B. Triggs, F. Jurie, and R. Polikar, “Margin-based discriminant dimensionality reduction for visual recognition,” IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska – USA, June 24-26, 2008.

5) H. S. Yavuz and H. Cevikalp, “A new distance measure for hierarchical clustering,” (Turkish) the 16th IEEE Signal Processing and Communications Applications Conference, Didim - Turkey, April 20-22, 2008.

6) H. Cevikalp, J. Verbeek, F. Jurie, and A. Klaser, “Semi-supervised dimensionality reduction using pairwise equivalence constraints,” 3rd International Conference on Computer Vision Theory and Applications, Funchal, Madeira – Portugal, January 2008.

7) H. Cevikalp, D. Larlus, M. Douze, and F. Jurie, “Local subspace classifiers: linear and nonlinear approaches,” the 2007 IEEE Machine Learning for Signal Processing Workshop, August 2007, Thessaloniki, Greece.

8) H. Cevikalp, D. Larlus, and F. Jurie, “A supervised clustering algorithm for the initialization of RBF Neural Network Classifiers,” the 15th IEEE Signal Processing and Communications Applications Conference, Eskisehir, Turkey, June 2007.

9) H. Cevikalp, “Theoretical analysis of linear discriminant analysis criteria,” (Turkish) the 14th IEEE Signal Processing and Communications Applications Conference, Antalya, Turkey, April 2006, pp: 1-4.

10) H. Cevikalp, H. S. Yavuz, A. Barkana, “Two dimensional (2D) subspace classifiers for image recognition,” the 14th European Signal Processing Conference, Florence, Italy, September 2006.

11) H. Cevikalp and M. Neamtu, “Nonlinear common vectors for pattern classification,” the 13th European Signal Processing Conference, Antalya, Turkey, September 2005. (chosen as the best student paper)

12) H. Cevikalp, B. Barkana, and A. Barkana, “A comparison of the common vector and the discriminative common vector methods for face recognition,” the 9th World Multi-Conference on Systemics, Cybernetics and Informatics, July 2005, Orlando, USA.

13) H. Cevikalp, M. Neamtu, and M. Wilkes, “Nonlinear discriminative common vector method,” the 9th World Multi-Conference on Systemics, Cybernetics and Informatics, July 2005, Orlando, USA.

14) H. Cevikalp and M. Neamtu, “Nonlinear discriminant common vectors (Turkish),” the 13th IEEE Signal Processing and Communications Applications Conference (SIU), Kayseri, Turkey, pp. 292-295, May 2005. (chosen as the best student paper)

15) H. Cevikalp, and M. Wilkes, “Face recognition by using discriminative common vectors”, 17th Int. Conf. on Pattern Recognition (ICPR), Cambridge, UK, pp.326-329, August 2004.

16) H. Cevikalp, M. Neamtu, M. Wilkes, and A. Barkana, “A novel method for face recognition (Turkish),” the 12th IEEE Signal Processing and Communications Applications Conference (SIU), Cesme, Turkey, April 2004.

17) M. B. Gulmezoglu, H. Cevikalp and A. Barkana, “A new point of view to common vector approach (Turkish),” the 12th IEEE Signal Processing and Communications Applications Conference (SIU), Cesme, Turkey, April 2004.

18) X. Liu, H. Cevikalp, J. M. Fitzpatrick, “Marker orientation in fiducial registration”, Proc. SPIE Medical Imaging 2003, San Diego, CA 1176-1183 (Feb 2003).

19) R. Labadie, M. Fenlon, H. Cevikalp, S. Harris, R. Galloway, J.M. Fitzpatrick, “Image-guided otologic surgery”, Proc. 17th Int. Congress and Exhibition, Computer Assisted Radiology and Surgery, London, H.U. Lemke, et al, ed., Elsevier, Int. Congress Series 1256, 613-618 (June 2003).

20) H. Cevikalp, M. B. Gülmezoðlu, and A. Barkana, “Gurultulu verilerin taninmasinin iyilestirilmesi (Improving recognition rates for noisy signals) ” (Turkish), 11. Sinyal Isleme kurultayi (the 11th Conference on Signal Processing and Applications), June 2002, Denizli.


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