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: 3D object detection using temporal data fusion, Zhiran Yan, Jan.2020
  • Master's thesis: Efficient object detection and tracking for indoor applications, Robert Walter, Nov.2019
  • 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

Finished:

  • Master's thesis: Data fusion from heterogeneous sensor for indoor scenarios, Okan Kamil Şen, Sep.2019-Mar.2020
  • Master's thesis: Radar-based object detection using deep neural networks, Maria Dreher, Jun.2019-Dec.2019
  • Master's thesis: Motion cueing for the control of a car simulator using RNN and RL, Ahmet Burakhan Koyuncu, Apr.2019-Nov.2019
  • Master's thesis: Sensor fusion for object detection on simulator data, Tuba Topaloğlu, Feb.2019-Nov.2019
  • Master's thesis: Sensor fusion through 3D proposals using data generated from simulators, Ruslan Noschajew, Apr.2019-Oct.2019
  • 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

Previous semesters


Publications

2020

  • Ahmet Burakhan Koyuncu; Emec Ercelik; Eduard Comulada-Simpson; Joost Venrooij; Mohsen Kaboli; Alois Knoll: A Novel Approach to Neural Network-based Motion Cueing Algorithm for a Driving Simulator. 31st IEEE Intelligent Vehicles Symposium (accepted), 2020 mehr… BibTeX
  • Maria Dreher; Emec Ercelik; Timo Bänziger; Alois Knoll: Radar-based 2D Car Detection Using Deep Neural Networks. 23rd Intelligent Transportation Systems Conference (accepted), 2020 mehr… BibTeX

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), 2019 mehr… BibTeX Volltext ( DOI )

2017

  • Zied Tayeb, Emeç Erçelik, Jörg Conradt: Decoding of motor imagery movements from EEG signals using SpiNNaker neuromorphic hardware. Neural Engineering (NER), 2017 8th International IEEE/EMBS Conference on, 2017 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)

2015

  • Emeç Erçelik, Neslihan Serap Şengör: A neurocomputational model implemented on humanoid robot for learning action selection. Neural Networks (IJCNN), 2015 International Joint Conference on, 2015 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
  • Emeç Erçelik, Rahmi Elibol, Neslihan Serap Şengör: A model on building and modifying the stimulus action association in the brain. Signal Processing and Communications Applications Conference (SIU), 2015 23th, 2015 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)