CV

Education

• Ph.D. in Computer Science, Klagenfurt University
  2019-Present
• M.Sc. in Computer Science, Ozyegin University, 3.92 / 4.00
  Thesis: Image Denoising Using Deep Convolutional Autoencoders [PDF]
  2018-2019
• B.Sc. in Computer Science, Ozyegin University, 3.28 / 4.00
  2013-2018

Work experience

Current: Ph.D. Researcher at ATHENA Christian Doppler Laboratory Here

• Fall 2018 - Spring 2019: Teaching Assistant
  • Ozyegin University
  • CS 112 Discrete Mathematics, CS 103 Computer Programming, and CS 350 Operating Systems course assistant
• Summer 2017: Intern
  • POLLYFY SOFTWARE TECHNOLOGIES
  • Contributed to development of existing Android application, Pollyfy
• Summer 2017: Intern
  • HAVELSAN NAVAL COMBAT MANAGEMENT TECHNOLOGIES CENTER
  • Contributed to large scale Java projects about naval combat communication systems

Publications

Fast Multi-Rate Encoding for Adaptive HTTP Streaming

Image Denoising Using Deep Convolutional Autoencoder with Feature Pyramids

FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Learning

Towards Optimal Multirate Encoding for HTTP Adaptive Streaming

Fast Multi-Resolution and Multi-Rate Encoding for HTTP Adaptive Streaming Using Machine Learning

WISH: User-centric Bitrate Adaptation for HTTP Adaptive Streaming on Mobile Devices

Machine Learning Based Video Coding Enhancements for HTTP Adaptive Streaming

CTU Depth Decision Algorithms for HEVC: A Survey

ECAS-ML: Edge Computing Assisted Adaptation Scheme with ML for HAS

MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks

Super-resolution Based Bitrate Adaptation for HTTP Adaptive Streaming for Mobile Devices

LFC-SASR: Light Field Coding Using Spatial and Angular Super-Resolution

LiDeR: Lightweight Dense Residual Network for Video Super-Resolution on Mobile Devices

Hybrid P2P-CDN Architecture for Live Video Streaming: An Online Learning Approach