I am a Ph.D candidate at Computer Engineering Department , Middle East Technical University , working with Prof. Sinan Kalkan and Prof. Fatos T. Yarman-Vural. I have received my M.Sc. and B.Ss. degrees from the same department. Currently I am a teaching assistant at the department, and I am working as a researcher at Image Processing and Pattern Recognition Lab. My current research focus is disentanglement models and metrics in deep models. My main research interests include;

  • Computer Vision
  • Deep Learning, Machine Learning
  • Video Analysis
  • fMRI Analysis
  • Image Processing, Signal Processing

Education

2017
Present		 Ph.D - Department of Computer Engineering
Middle East Technical University
CGPA:3.86/4.00
Passed the qualification exam
2014
2017		 M.Sc - Department of Computer Engineering
Middle East Technical University
CGPA:3.71/4.00
Thesis title: A Hierarchical Representation and Decoding of fMRI Data by Partitioning a Brain Network.
Thesis superviser: Prof. Fatos T. Yarman-Vural
2009
2014		 B.Sc - Department of Computer Engineering
Middle East Technical University
CGPA:3.15/4.00

Work Experience

Sep. 2014
Present		 Research and Teaching Assistant
Department of Computer Engineering
Middle East Technical University
CGPA:3.86/4.00

I have served as a teaching asisstant for the following courses

  • Digital Image Processing
  • Signals and Systems for Computer Engineers
  • Computer Engineering Design
  • Introduction to Bioinformatics
  • Introduction to Computer Engineering Concepts
  • C Programming
2015
2017		 Teaching Assistant Representative
Department of Computer Engineering
Middle East Technical University
Summer
2013		 Summer Practice
Image Processing and Pattern Recognition Lab.
Department of Computer Engineering
Middle East Technical University

Projects

2014
2016		 Multi-Layered Cognitive Learning Model
Funded by : The Scientific and Technological Research Council of Turkey (TUBITAK)
Coordinator: Prof. Fatos T. Yarman-Vural
My Role: I have worked as a researcher in this project. My main contributions include segmentation of human brain through fMRI dataset, and multilayer classification using fuzzy stacked generation (FSG) method.

Term Projects

Fall 2017 Deep Learning Course Project
Description: I used 3D Convolutional Neural Nets for video classification on a Dynamic Scene Recognition Dataset.
Fall 2015 Parallel Programming on GPU Course Project
Description: I used GPU programming utilities to optimize and select the parameters of Fuzzy k-NN classifier in an ensemble learning framework.

Publications

  • Mogultay, H., & Kalkan, S., & Vural, F. T. Y. (2022). An Analysis on Disentanglement in Machine Learning. In 30th Signal Processing and Communications Applications Conference (SIU), pp. 1-4, IEEE.
  • Mogultay, H., & Vural, F. T. Y. (2018). BrainParcel: A Brain Parcellation Algorithm for Cognitive State Classification. In Graphs in Biomedical Image Analysis and Integrating Medical Imaging and Non-Imaging Modalities pp. 32-42, Springer, Cham.
  • Mogultay, H., & Vural, F. T. Y. (2017). Cognitive learner: An ensemble learning architecture for cognitive state classification. In 25th Signal Processing and Communications Applications Conference (SIU), pp. 1-4, IEEE. (IEEE SPS Turkey, Best Student Paper Award)
  • Mogultay, H., Alkan, S., & Vural, F. T. Y. (2015). Classification of fMRI data by using clustering. In 23th Signal Processing and Communications Applications Conference (SIU), pp. 2381-2383, IEEE.

Contact

You can contact me from my office, or via e-mail.

Computer Engineering Dept. No A401
Middle East Technical University

(+90) 312 210 55 52

hazal[at]ceng.metu.edu.tr