1 SENIHA ESEN YUKSEL, Ph.D. Hacettepe University, Department of Electrical and Electronics Engineering, Beytepe Campus, Ankara, Turkey Phone: (+90) / Home page: INTERESTS: applied math. Machine learning, medical imaging, computer vision, statistical analysis, EDUCATION: Doctor of Philosophy in Computer Sciences & Engineering University of Florida, Gainesville, USA Chair: Prof. Paul D. Gader Dissertation: Context-based classification via data-dependent mixtures of logistic and hidden Markov model classifiers. Master of Science in Electrical and Computer Engineering University of Louisville, Louisville, Kentucky, USA Chair: Prof. Aly A. Farag Thesis: Image processing methods for the detection of acute rejection after kidney transplantation. Bachelor of Science in Electrical and Electronics Engineering Middle East Technical University, Ankara, Turkey WORK EXPERIENCE: Assistant Professor 2013 Department of Electrical and Electronics Engineering, Hacettepe University, Ankara, Turkey Instructor with Ph.D Department of Computer Engineering, Middle East Technical University Northern Cyprus Campus (METU NCC), Guzelyurt, KKTC. Postdoctoral Researcher Department of Materials Science and Engineering, University of Florida, Gainesville, FL, USA. Worked on hyperspectral data classification for explosive detection. Research Assistant Computational Science & Intelligence Lab, University of Florida, Gainesville, FL, USA Worked on context-based multi-class classification for landmine detection using ground penetrating radar (GPR) and wide-band electro-magnetic Induction (WEMI) data. Developed models for context-based classification of ambiguous time-series data. Research Assistant Center for Vision, Graphics and Medical Imaging, University of Florida, Gainesville, FL, USA Developed software to validate the fiber paths from Dynamic Tensor MRI with histology images of a brain stem. Worked on segmentation, registration and visualization. Research Assistant Computer Vision and Image Processing Lab, University of Louisville, Louisville, KY, USA. Developed image processing methods for the detection of acute rejection after kidney transplantation. Developed models for shape based segmentation and registration.
2 Seniha Esen Yuksel, Resume, Page 2 of 6 PUBLICATIONS: Indexed Journal Articles: 1. S.E. Yuksel, T. Dubroca, R.E. Hummel, P.D. Gader, Differential Reflection Spectroscopy: A Novel Method for Explosive Detection, Acta Physica Polonica A, vol. 123, no. 2, pp , February 2013 (SCI-E). 2. S.E. Yuksel, J. N. Wilson, P. D. Gader, Twenty Years of Mixture of Experts, IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, issue 8, pp , (SCI) 3. S.E. Yuksel, Ayman El-Baz, Aly A. Farag, M. El-Ghar, T. Eldiasty and M. A. Ghoneim, A Kidney Segmentation Framework for Dynamic Contrast Enhanced Magnetic Resonance Imaging, Journal of Vibration and Control, Vol. 13, no. 9 10, pp , (SCI-E) 4. A. El-Baz, R. Fahmi, S.E. Yuksel, A.A. Farag, W. Miller, M.A. El-Ghar, T. Eldiasty, "A New CAD System for the Evaluation of Kidney Diseases Using DCE-MRI," Lecture Notes In Computer Science, Medical Image Computing and Computer-Assisted Intervention, Springer, Vol. 4191, pp , (Engineering Index: EI) 5. A. El-Baz, S.E. Yuksel, H. Shi, A.A. Farag, M.A. El-Ghar, T. Eldiasty, and M. A. Ghoneim, 2D and 3D Shape Based Segmentation Using Deformable Models, Lecture Notes In Computer Science, Medical Image Computing and Computer-Assisted Intervention, Springer, Vol. 3750, pp , (Engineering Index: EI) Books: 1. S.E. Yuksel, Context-based classification with applications in landmine detection, Lambert Academic Publishing, March 22, ISBN: Link: Book Chapters: 1. A. El-Baz, A.A. Farag, S.E. Yuksel, M.A. El-Ghar, T. A. Eldiasty and M.A. Ghoneim, Application Of Deformable Models For The Detection Of Acute Renal Rejection, in Deformable Models: Biomedical and Clinical Applications (Topics in Biomedical Engineering. International Book Series), J. S. Suri and A. A. Farag Editors, Springer, New York, July ISBN: Conference Papers Published in Proceedings: ** MLSP, WHISPERS, ICPR, PRRS, CVPRW, ISBI, and IEEC are peer-reviewed conferences based on full-length paper submission. 1. J. Bolton, S. E. Yuksel, P. Gader, "Multiple instance learning for hidden Markov models: application to landmine detection", Proc. SPIE 8709, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVIII, 87091M, June 7, S.E. Yuksel, J. Bolton, P. Gader, Landmine Detection With Multiple Instance Hidden Markov Models, IEEE International Workshop on Machine Learning For Signal Processing (MLSP), pp. 1-6, September (talk) 3. S.E. Yuksel, P. Gader, Mixture of HMM Experts with Applications to Landmine Detection, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp , July (talk) 4. S.E. Yuksel, T. Dubroca, R. Hummel, P. Gader, An automatic detection software for differential reflection spectroscopy, SPIE Defense, Security, and Sensing: Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVIII, Vol. 8390, pp B, May (talk) 5. A. Zare, P. Gader, J. Bolton, S.E. Yuksel, T. Dubroca, R. Close, R. Hummel, "Sub-pixel Target Spectra Estimation and Detection Using Functions of Multiple Instances," IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), pp.1-4, June (talk) 6. S.E. Yuksel, T. Dubroca, R. Hummel, P. Gader, Spectral Analysis for the Detection of Explosives with Differential Reflectometry, Grace Hopper Conference, pp , (talk)
3 Seniha Esen Yuksel, Resume, Page 3 of 6 7. S.E. Yuksel, P. Gader, Variational Mixture of Experts for Classification with applications to landmine detection, International Conference on Pattern Recognition (ICPR), pp , X. Zhang, S.E. Yuksel, P. Gader, J. Wilson, Simultaneous Feature and HMM Model Learning for Landmine Detection using Ground Penetrating Radar, Workshop on Pattern Recognition in Remote Sensing (PRRS), pp. 1-4, (talk) 9. S.E. Yuksel, P.J. Dobbins, Engineering education for the net generation: A case study of how students use resources in software engineering, International Engineering Education Conference (IEEC), pp , (talk) 10. S.E. Yuksel, G. Ramachandran, P. Gader, J. Wilson, D. Ho, G. Heo, Hierarchical methods for landmine detection with wideband electro-magnetic induction and ground penetrating radar multi-sensor systems, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), vol.2, pp.ii-177-ii-180, 7-11 July A. El-Baz, A.A. Farag, R. Fahmi, S.E. Yuksel, M.A. El-Ghar, T. Eldiasty, Image Analysis of Renal DCE-MRI for the Detection of Acute Renal Rejection, IEEE 18th International Conference on Pattern Recognition (ICPR), (3) 2006, pp A.A. Farag, A. El-baz, H. E. Abd El Munim, and S.E. Yuksel, Level Set Segmentation using Statistical Shape Priors, Proceedings of the Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), NY, USA, June 17-18, 2006, pp (talk) 13. A. Farag, A. El-Baz, S.E. Yuksel, M.A. El-Ghar, T. Eldiasty, "A Framework for the Detection of Acute Renal Rejection with Dynamic Contrast Enhanced Magnetic Resonance Imaging," Proceedings of International Symposium on Biomedical Imaging (ISBI), Arlington, Virginia, April 2006, pp S.E. Yuksel, A. El-Baz, A.A. Farag, M.E.A. El-Ghar, T.A. Eldiasty, and M.A. Ghoneim, Automatic detection of renal rejection after kidney transplantation, Proc. of Computer Assisted Radiology and Surgery (CARS), Germany, 2005, pp (talk) 15. A. El-Baz, S.E. Yuksel, S. Elshazly, and A. A. Farag, Non-rigid registration techniques for automatic follow-up of lung nodules, Proc. of Computer Assisted Radiology and Surgery (CARS), Berlin, Germany, June 22-25, 2005, pp (talk) Dissertation & Thesis: 1. S.E. Yuksel, "Context-based classification via data-dependent mixtures of logistic and hidden Markov model classifiers", Doctor of Philosophy, University of Florida, Gainesville, FL, August S.E. Yuksel, "Image Processing Methods For the Detection of Acute Rejection After Kidney Transplantation", Master of Science, University of Louisville, KY, December Abstracts: 1. S.E. Yuksel, Evolution of the Clusters for Time-Series Data, Grace Hopper Conference, Atlanta, pp.53, A. El-Baz, A.A. Farag, S.E. Yuksel, M.A. El-Ghar and T. Eldiasty, "A Novel Approach for the Detection of Acute Rejection with Dynamic Contrast Enhanced Magnetic Resonance Imaging", 13th European Symposium on Urogenital Radiology (ESUR), (talk) Poster Presentations: 1. S.E. Yuksel, G. Ramachandran, P. Gader, J. Wilson, D. Ho, G. Heo, Advances in landmine detection using WEMI and GPR data, NSF Research Day, October 13, S.E. Yuksel, G. Ramachandran, P. Gader, J. Wilson, D. Ho, G. Heo, Hierarchical methods for landmine detection with wideband electro-magnetic induction and ground penetrating radar multi-sensor systems, Google Workshop for Women Engineers, S.E. Yuksel, A. El-Baz, A.A. Farag and G.C. Postel, Automatic detection of renal rejection after kidney transplantation," Research!Louisville,Oct.31-Nov.4, 2005 (1 st place award).
4 Seniha Esen Yuksel, Resume, Page 4 of 6 Invited Talks: 1. S.E. Yuksel, Securing our borders: from landmine to explosive detection, Middle East Technical University, Ankara, Turkey, S.E. Yuksel, Advances in landmine detection, invited talk at the CNEL Lab, Department of Electrical and Computer Engineering, University of Florida, S.E. Yuksel, When databases meet datamining, Appalachian State University, Boone, NC, S.E. Yuksel, Context-based classification with mixture of hidden Markov model experts, Opera Solutions, San Diego, S.E. Yuksel, Variational and traditional mixture of experts for landmine detection, ARCON Cooperation, Boston, Journal Articles in Progress: 1. S.E. Yuksel, Validation of Registration for Renal DCE-MRI Imaging, in review 2. S.E. Yuksel, P. D. Gader, Mixture of Hidden Markov Model Experts, in review. 3. S.E. Yuksel, J. Bolton, P. D. Gader, Multiple Instance Learning for Landmine Detection, in review. ACCEPTED PROPOSALS 1. S.E. Yuksel (PI), Development of Hyperspectral Methods for Explosive Detection, BAP Project, METU NCC, Duration: 01/02/ /01/2015, Budget: TL. (stopped due to changing jobs). 2. S.E. Yuksel (investigator) Image Analysis for Identification of Renal Transplant Rejection, PI s: Dr. Aly A. Farag and Tarek El-Diasty, NSF Grant, $60K. Project Duration: 9/1/06 9/1/08. o I was responsible for a significant amount of the work to enable the success of the original proposal being accepted by the NSF. Responsibilities included generating results, proposing ideas and writing the proposal. AWARDS & ACHIEVEMENTS: Selected by Schiphol International Airport to field test our prototype at an active security checkpoint in 2012, Schiphol Security Innovation Days, October Winner, College of Engineering Outstanding International Student Award, UF, Winner, Phyllis M. Meek Spirit of Susan B. Anthony Award, University of Florida, st Place Award, Innovation through Institutional Integration NSF Writing Contest, st Place Award in research competition, Research!Louisville, Louisville, KY, Scholarship from National Science Foundation (NSF) to attend GHC Conference, Scholarship from Association for Computing Machinery (ACM) to attend GHC Travel award from Google, to attend the Google Workshop for Women Engineers, Travel awards from Computing Research Assoc. (CRA) to attend CRA-W Grad Cohort, in 2008 and Travel award from the Department of CISE, University of Florida, Travel award from the Graduate Student Council (GSC), University of Florida, Travel award from the Office of Research, University of Florida, Recognized in Who s Who Among Students in American Universities and Colleges, Full assistantship from Department of CISE, University of Florida, Full assistantship by the CVIP Lab, University of Louisville, Travel award from the International Center of University of Louisville, Travel award from the Graduate School of University of Louisville, Member, Eta Kappa Nu (national electrical engineering honor society), invited in Member, Phi Kappa Phi (honor society), invited in Ranked 153 rd in 1.5million students in the university entrance exams, st Place Award in Ministry of National Education (MEB) writing contest, 1995.
5 Seniha Esen Yuksel, Resume, Page 5 of 6 TEACHING EXPERIENCE: Instructor, Hacettepe University ELE 237, Fundamentals of Digital Systems, Fall 2013 ELE 673, Pattern Recognition, Fall 2013 Instructor, METU NCC CNG 462, Artificial Intelligence, Spring 2013 CNG 384, Signals and Systems for Computer Engineers, Spring 2013 CNG 230, Introduction to C Programming, Fall 2012 & Spring 2013 CNG 492, Senior Project and Seminar: Implementation, Spring 2013 CNG 466, Fundamentals of Image Processing, Fall 2012 CNG 223, Discrete Computational Structures, Fall 2012 CNG 491, Senior Project and Seminar: Design, Fall 2012 Substitute Teacher, University of Florida CAP 6617, Advanced Machine Learning, Fall 2009 CAP 6610, Machine Learning, Spring 2009 Teaching Assistant with Teaching Responsibilities, University of Florida CEN 3031, Introduction to Software Engineering, Fall 2010 & Fall 2008 Instructor, University of Florida IDH 2931, Artificial Intelligence and Machine Learning, Summer 2008 Teaching Assistant, University of Florida CGS3063 Computers and Modern Society, Spring 2006 & Fall 2007 Private Tutor, Uyum Tutoring, Ankara, Turkey, LEADERSHIP/SERVICE ACTIVITIES: Reviewer, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Systems, Man and Cybernetics, IEEE Transactions on Geoscience and Remote Sensing, IEEE Geosience and Remote Sensing Letters, Information Fusion Sensors Journal Machine Learning in Medical Imaging IEEE Congress for Evolutionary Computing Panel Organizer, Grace Hopper Conference, Baltimore, 2012 Title: Securing our borders: are we there yet? Organizer: Seniha Esen Yuksel, University of Florida. Speakers: Pamela Arya, vice President of A-TSolutions ; Kay Sementilli, Deputy Director of Raytheon; Laura McLay, asisstant prof. at Virginia Commonwealth Univ. Speaker in Birds of a Feather, Grace Hopper Conference, Baltimore, 2012 Title: How you can make a difference: Bootstrapping efforts toward gender balance? Fiona Tay, Harvey Mudd College; Sharon Mason, Rochester Institute of Technology; Sophia Westwood, Stanford University; Seniha Esen Yuksel, University of Florida. Seminar organizer, CSI:Florida Lab, University of Florida, Graduate advisor, Society of Women Engineers (SWE), University of Florida, President, Turkish Student Association at University of Florida, Student volunteer at the IEEE Visualization Conference, Austin, Texas, ECE representative, University of Louisville Graduate Student Council, Member, METU departmental magazine BILTEK, IEEE student section, One of the editors and writers of ADA school magazine, Member of IEEE (Inst. of Electrical and Electronics Eng.), SWE (Society of Women Engineers). Member of MICCAI (Medical Image Computing Society), SPIE.
6 Seniha Esen Yuksel, Resume, Page 6 of 6 SKILLS: Programming: C, C++, C#, Java, MATLAB, ITK, VTK, Qt, OpenGL, HTML Operating Systems: Linux, Unix, Windows Engineering Design Tools: HPVee, Workbench, Xilinx Editing Tools: LaTeX, Word, Excel, Power Point, FrontPage Languages: English (fluent, YDS 2013 A level), Turkish (native) COMPLETED RESEARCH PROJECTS Standoff Detection of Explosive Materials by Differential Reflectometry, National Science Foundation (NSF), USA (01/01/ /09/2012) Autonomous Mine Detection Systems (AMDS), Army Research Office, USA EXP-LA: Collaborative Research: Optimized Multi-algorithm Systems for Detecting Explosive Objects, National Science Foundation (NSF), USA (09/01/ /31/2010) Image Analysis for Identification of Renal Transplant Rejection, National Science Foundation (NSF), USA OTHER EXPERIENCE: Intern Engineer, Ayesas Software and Electronics, Ankara, Turkey. Summer 2002 Intern Engineer, Aselsan Inc., Ankara, Turkey. Summer 2001
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