Picture of Emec Ercelik

Emec Ercelik

Technical University of Munich

Postal address

Postal:
Boltzmannstr. 3
85748 Garching b. München

  • Phone: +49 (89) 289 - 18130
  • Room: 5607.03.057
  • emec.ercelik(at)tum.de

Curriculum Vitae

  • (2017 -Now) Ph.D. candidate, Technical University of Munich
  • (2013-2016) Master of Science Degree in Electronics Engineering, Istanbul Technical University
  • (2008-2013) Bachelor's Degree in Electronics Engineering, Istanbul Technical University

Research Interests

Object Detection, Sensor Fusion, Temporal data processing with deep learning models


Open Thesis Topics / Guided Research

If you are interested in object detection, recurrent networks, and sensor fusion, please send me an e-mail with the topic you are interested in, CV, and the list of related work you have done before.

Example topics:


Thesis Supervision

Ongoing:

  • Master's thesis: Person Tracking in Aerial Image Sequences using Deep Learning Techniques, Maximilian Kraus, Nov.2019
  • Master's thesis: Processing video data to improve 2D object detection, Arnd Pettirsch, Oct. 2019
  • Master's thesis: Deep learning based people counting application using 60 GHz FMCW radar sensor, Cem Yusuf Aydoğdu, Oct. 2019
  • Master's thesis: Data fusion from heterogeneous sensor for indoor scenarios, Okan Kamil Şen, Sep.2019
  • Master's thesis: Object detection using temporal radar data, Maria Dreher, Jun.2019
  • Master's thesis: Motion cueing for the control of a car simulator using RNN and RL, Ahmet Burakhan Koyuncu, Apr. 2019
  • Master's thesis: Sensor fusion through 3D proposals using data generated from simulators, Ruslan Noschajew, Apr.2019
  • Master's thesis: Sensor fusion for object detection on simulator data, Tuba Topaloğlu, Feb.2019
  • Master's thesis: Extending and evaluating an object detection model for sequential image processing, Michael Kratzer, Dec.2018

Finished:

  • Research internship: Integration of depth information for LSTM-based online video object detection, Mert Keser, Mar.2019-Apr.2019
  • Bachelor's thesis: The recognition and evaluation of traffic signs and its additional information with machine learning in the context of autonomous driving, Tobias Weber, Nov.2018-Apr.2019
  • Guided research: Methods to transfer knowledge from simulation into real-world for object detection problem, Anshul Sharma, Nov.2018-Apr.2019
  • Master's thesis: Evaluation of an object detection model adding recurrency, Daniel Haller, Nov.2018-Apr.2019


Publications

2019

  • Tobias Weber; Emec Ercelik; Martin Ebert; Alois Knoll: Recognition & Evaluation of Additional Traffic Signs on the example of '80 km/h when wet'. 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (accepted), 2019 more… BibTeX

2017

2015