Ayse Erozan

Phone: +49 6221 54 14508
Room: 1/211
ayse.erozan_at_uni-heidelberg.de

Predoc

Office address/Post address

Engineering Mathematics and Computing Lab (EMCL)
Interdisciplinary Center for Scientific Computing (IWR)
Im Neuenheimer Feld 205
69120 Heidelberg (Germany)

Short Biography

  • 03.2022 - joined as PHD student at EMCL, Universität Heidelberg, Germany
  • 04.2018 - 05.2021 - worked as data scientist for various company, Germany
  • 07.2018 - completed MS Computer Science at TOBB Economy and Tecnology University, Turkey
  • 02.2014 - 07.2017 - worked as software and development engineer at HAVELSAN, Turkey
  • 07.2013 - completed BS Electronic and Communication Engineering at Istanbul Technical University (ITU), Turkey

Research Interests

  • Machine Learning / Deep Learning
  • Image Processing
  • Computer Vision
  • Data Science

Projects

Teaching

  • In preparation

Publications

  • Erozan, A. S. A. File fragment type detection by neural network. In 2018 26th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE, (2018, May).
  • Aydoğdu, A. S., Hatipoğlu, P. U., Özparlak, L., & Yüksel, S. E. LWIR and MWIR images dimension reduction and anomaly detection with locally linear embedding. In 2015 23nd Signal Processing and Communications Applications Conference (SIU) (pp. 819-822). IEEE, (2015, May).
  • Erozan, A. T., Aydoğdu, A. S., & Örs, B. Application specific processor design for DCT based applications. In 2015 23nd Signal Processing and Communications Applications Conference (SIU) (pp. 2157-2160). IEEE, (2015, May).