Photo of Gregor Cerar

Dr. Gregor Cerar

Role: Research Associate
Joined: October, 2016
Affiliations: Jožef Stefan Institute

Main research interests:

Artificial Intelligence, Smart Infrastructure, Wireless Networks, and MLOps.

Bio:

Gregor Cerar received his Bachelor’s (2013) and Master’s (2016) degrees from the Faculty of Electrical Engineering of the University of Ljubljana, where he completed the Telecommunications study programme, and the Ph.D. degree (2021) from International Postgraduate School of Jožef Stefan in Information and Communication technologies with the Department of Communication Systems, Jožef Stefan Institute. He is currently a research associate with the Department of Communication Systems, Jožef Stefan Institute.

Publications:

  • Towards Sustainable Deep Learning for Wireless Fingerprinting Localization
    Anže Pirnat, Blaž Bertalanič, Gregor Cerar, Mihael Mohorčič, Marko Meža, and Carolina Fortuna
    ICC 2022 - IEEE International Conference on Communications : 16-20 May 2022, 2022
  • LOG-a TEC Testbed Outdoor Localization Using BLE Beacons
    Blaž Bertalanič, Grega Morano, and Gregor Cerar
    BalkanCom 2022, 2022 International Balkan Conference on Communications and Networking (BalcanCom), 22-24 August, Sarajevo, Bosnia and Hercegovina, 2022
  • Learning to Automatically Identify Home Appliances
    Dan Lorbek Ivančič, Blaž Bertalanič, Gregor Cerar, and Carolina Fortuna
    Odkrivanje Znanja in Podatkovna Skladišča - SiKDD : 4. Oktober 2021, 4 October 2021, Ljubljana, Slovenia, 2021
  • A Deep Learning Model for Anomalous Wireless Link Detection
    Blaž Bertalanič, Halil Yetgin, Gregor Cerar, and Carolina Fortuna
    17th Virtual IEEE International Conference on Wireless and Mobile Computing, Neworking and Communications, (WiMob), 11-13 October, 2021, 2021
  • Machine Learning-Based Model Selection for Anomalous Wireless Link Detection
    Gregor Cerar, Halil Yetgin, and Carolina Fortuna
    SoftCOM .., 2021
  • Designing a Machine Learning Based Non-Intrusive Load Monitoring Classifier
    Leo Ogrizek, Blaž Bertalanič, Gregor Cerar, Marko Meža, and Carolina Fortuna
    Zbornik ... Mednarodne Elektroteniške in Računalniške Konference = Proceedings of the ... Electrotechnical and Computer Science Conference, 2021
  • Improving CSI-Based Massive MIMO Indoor Positioning Using Convolutional Neural Network
    Gregor Cerar, Aleš Švigelj, Mihael Mohorčič, Carolina Fortuna, and Tomaž Javornik
    European Conference on Networks and Communications, 2021
  • Learning to Fairly Classify the Quality of Wireless Links
    Gregor Cerar, Halil Yetgin, Mihael Mohorčič, and Carolina Fortuna
    WONS 2021, 16th Wireless On-Demand Network Systems and Services Conference, 9-11th March 2021 : Virtual Conference, 2021
  • Machine Learning for Wireless Link Quality Estimation : A Survey
    Gregor Cerar, Halil Yetgin, Mihael Mohorčič, and Carolina Fortuna
    IEEE Communications Surveys and Tutorials, 2021
  • Learning to Detect Anomalous Wireless Links in IoT Networks
    Gregor Cerar, Halil Yetgin, Blaž Bertalanič, and Carolina Fortuna
    IEEE Access, 2020
  • Testing the Interoperability of the Joint Scheduling and Routing Algorithm for IIoT Applications
    Andrej Hrovat, Gregor Cerar, Gordana Gardašević, Dragan Vasiljević, and Tomaž Javornik
    Zbornik ... Mednarodne Elektroteniške in Računalniške Konference = Proceedings of the ... Electrotechnical and Computer Science Conference, 2019
  • On Designing a Machine Learning Based Wireless Link Quality Classifier
    Gregor Cerar, Halil Yetgin, Mihael Mohorčič, and Carolina Fortuna
    IEEE PIMRC 2020, 31st Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, 31 August - 3 September 2020, London, UK : Virtual Conference, 2020
  • Software Interfaces for Control, Optimization and Update of 5G Machine Type Communication Networks
    Carolina Fortuna, Adnan Bekan, Tomaž Javornik, Gregor Cerar, and Mihael Mohorčič
    Computer Networks : The International Journal of Computer and Telecommunications Networking, 2017