Resume

I’ve worked as a Ph.D. researcher in the ATHENA project for the last three years. My research focuses on video encoding enhancements with machine learning for HTTP adaptive streaming. I’ve published more than 15 papers in those three years. Now I’m looking for the next chapter in my life and bringing my research experience with me!


🎓 Education

Ph.D. in Computer Science

Universität Klagenfurt - Klagenfurt, Austria (2019 - Present)
Dissertation: Video Coding Enhancements for HTTP Adaptive Streaming Using Machine Learning
Advisor: Christian Timmerer

M.Sc. in Computer Science

Ozyegin University - Istanbul, Türkiye (2018 - 2019)
GPA: 3.92 / 4.00
Thesis: Image Denoising Using Deep Convolutional Autoencoders [PDF]

B.Sc. in Computer Science

Ozyegin University - Istanbul, Türkiye (2013 - 2018)
GPA: 3.28 / 4.00


📌 Experience

Ph.D. Researcher (2019 - Present)
ATHENA Christian Doppler Laboratory - 📍 Klagenfurt, Austria

Worked on video coding enhancements for HTTP adaptive streaming using machine learning.
Published 15 papers in prestigious conferences and journals
Worked with Video Encoding, FFMpeg, LSTM, 3D-CNN, ViT, CNN
Supervised a summer inter

Teaching Assistant (2018 - 2019)
Ozyegin University -📍 Istanbul, Türkiye

CS 112 Discrete Mathematics, CS 103 Computer Programming, and CS 350 Operating Systems
Prepared assignments, labs, and held office hours

Internships

Android Developer Intern (2017)
Pollyfy Software Technologies -📍 Istanbul, Türkiye
Contributed to development of existing Android application, Pollyfy

Java Developer Intern (2017)
HAVELSAN -📍 Istanbul, Türkiye
Contributed to large scale Java projects about naval combat communication systems


🎒 Related Skills

Fundamental

Programming Languages

Tools

Extra


🏆 Awards

Best New Streaming Innovation Award @ The 2021 Streaming Media Readers’ Choice Awards (Nov 2021)
For the paper: Fast Multi-Resolution and Multi-Rate Encoding for HTTP Adaptive Streaming Using Machine Learning

Best Doctoral Symposium Paper Award @ ACM MMSys 2021 (Oct 2021)
For the paper: Machine Learning Based Video Coding Enhancements for HTTP Adaptive Streaming


📠 Patents

Fast Multi-Rate Encoding for Adaptive HTTP Streaming - 2021
Fast Multi-Rate Encoding for Adaptive Streaming Using Machine Learning - 2022


💬 Languages

🇹🇷 Turkish: Native
🇺🇸 English: C2
🇩🇪 German: B1
🇸🇦 Arabic: A2


📜 Selected Publications

Image Denoising Using Deep Convolutional Autoencoder with Feature Pyramids
Turkish Journal of Electrical Engineering & Computer Sciences - 2020

Synthesised noisy images in Blender
Designed an image denoising autoencoder with feature pyramids

Fast Multi-Resolution and Multi-Rate Encoding for HTTP Adaptive Streaming Using Machine Learning
IEEE Open Journal of Signal Processing - 2021

Constructed dataset from encoded videos in PyTorch
Predicted encoding decisions for videos using a custom CNN

ECAS-ML: Edge Computing Assisted Adaptation Scheme with Machine Learning for HTTP Adaptive Streaming
International Conference on Multimedia Modeling - 2022

Constructed training dataset from 4G radio traces in PyTorch
Categorised radio traces using LSTM

Super-Resolution Based Bitrate Adaptation for HTTP Adaptive Streaming for Mobile Devices
ACM Mile-High Video Conference - 2022

Constructed training dataset from encoded videos in Tensorflow
Designed an image super-resolution model for mobile devices

LiDeR: Lightweight Dense Residual Network for Video Super-Resolution on Mobile Devices
IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop - 2022

Designed a video super-resolution model for mobile devices
Implemented in Android using Tensorflow Lite

MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks
International Conference on Multimedia Modeling - 2022

Designed an Android application to evaluate deep learning models on mobile
Used TensorflowLite as framework