Sait Celebi

Hello,

I am Sait Celebi, a 23 year-old engineer/developer/researcher working currently at Istanbul Sehir University. My research interests include Human Computer Interaction Systems, Machine Learning, Artificial Intelligence and Robotics. I like writing all piece of code that a machine could, possibly, understand.

You can find my resume here.

Find me on StackOverFlow, GitHub, LinkedIn and Google scholar. If you want to say hello, you are welcome: celebisait@gmail.com.


Publications

Journal Publications

  1. Sait Celebi, Ahmet Erkan Bilmez, Feruz Davletov, Tarik Arici, and Bugra Gedik. "The analysis of social media discussions according to user participation and user types". Submitted to ACM Transactions on Information Systems
  2. Ali Selman Aydin, Sait Celebi, and Tarik Arici. "Low-Complexity Unsupervised Learning From High-Dimensional Data Using Random Forests". Submitted to IEEE Transactions on Knowledge and Data Engineering
  3. Tarik Arici, Sait Celebi, Ali Selman Aydin, and Talha Tarik Temiz. "Low-Complexity Shape Recognition Using Random Forest Classifiers with Random Rectangle Features". Submitted to Computer Vision and Image Understanding
  4. Tarik Arici, Sait Celebi, Ali Selman Aydin, and Talha Tarik Temiz. "Robust Gesture Recognition using Feature Pre-processing and Weighted Dynamic Time Warping". Multimedia Tools and Applications, 1-18

Conference Publications

  1. Tarik Arici, Sait Celebi. "Discriminant Boosted Dynamic Time Warping and Its Application to Gesture Recognition". Submitted to European Conference on Computer Vision, ECCV, 2014
  2. Sait Celebi, Ali Selman Aydin, Talha Tarik Temiz, and Tarik Arici. "Gesture Recognition Using Skeleton Data with Weighted Dynamic Time Warping". In: Computer Vision Theory and Applications, Visapp, August 2012
  3. Tarik Arici and Sait Celebi. "Flow-Driven Regularization with Regularizer Verification in Optical Flow Computation". In: International Conference on Image Processing. IEEE, 2012

Thesis

  1. Master's Thesis: Low-Complexity Supervised Learning for Gesture and Shape Recognition
    Advisor: Prof. Tarik Arici

Personal

  1. Curriculum vitae (CV)
  2. Statement of Purpose
  3. Personal Statement
  4. A short presentation about my past research

Programming

Exercises for people who want to learn programming