SENIHA ESEN YUKSEL



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EDUCATION


Doctor of Philosophy in Computer & Information Science & Engineering, 2006 - 2011.
  • University of Florida, Gainesville, Florida, 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, 2003 - 2005.
  • 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 1999 - 2003.
  • Middle East Technical University, Ankara, Turkey.

WORK EXPERIENCE


Associate Professor, 2019 - Present, Electrical and Electronics Engineering Department, Hacettepe University, Ankara, Turkey.
Assistant Professor, 2013 - 2019, Electrical and Electronics Engineering Department, Hacettepe University, Ankara, Turkey.
Instructor Dr., August 2012 - 2013, Computer Engineering Department, Middle East Technical University Northern Cyprus Campus.
Postdoctoral Researcher, August 2011 - August 2012, Materials Science and Engineering Department, University of Florida, Gainesville, FL, USA
  • Developed tools for hyper-spectral data classification for the detection of explosive materials by differential reflection spectroscopy.
  • Combined end-member detection techniques with traditional classifiers.

Research Assistant, 2007 - August 2011, Computational Science & Intelligence Lab, University of Florida, Gainesville, FL, USA.
  • Worked on Landmine Detection using Ground Penetrating Radar (GPR) and Wide-band Electro-magnetic Induction (WEMI) data.
  • Implemented a fusion algorithm of GPR and WEMI confidence values using Hierarchical Mixture of Experts that significantly increased the classification rates while providing insightful results.
  • Implemented the Variational Mixture of Experts algorithm for multi-class classification and derived a lower bound for it to prevent over-training.
  • Developed a context-based classification model for time-series sequences.
  • Developed a novel model based on multiple instance learning for the context-based classification of time-series data with ambiguous features.
  • Developed models for explosive detection from hyper-spectral data for the Hummel lab.

Research Assistant, 2006 - 2007, Center for Vision, Graphics and Medical Imaging, University of Florida, Gainesville, FL, USA.
  • Worked on a project to validate the fiber paths from DT-MRI with histology fluoroscopy images obtained from a rat brain stem.
  • Implemented a vesselness algorithm to enhance the visualization of fibers in fluoroscopy images.
  • Implemented a level-set algorithm to segment the fibers from fluoroscopy images, and matched these fibers to the DT-MRI fibers using point-set registration.

Research Assistant, 2003 - 2005, 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.
  • Prepared a Kidney Image Analysis Software using C++/ITK/Qt that performs registration, segmentation and classification.
  • Developed a shape based segmentation method for kidney segmentation.

Intern Engineer, Summer 2002, Ayesas Software and Electronics, Ankara, Turkey.
  • Worked in a small arms simulation project to provide indoor training.
  • Designed simulations using VEGA/LYNX programs.

Intern Engineer, Summer 2001, Aselsan Inc, Ankara, Turkey.
  • Performed various tests using HP equipment in the Product Quality Dept.
  • Assisted in the preparation of test procedures and inspection results.



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