Csaba Jozsa

Csaba Máté Józsa received his MSc and PhD degrees from the Peter Pazmany Catholic University (PPCU) in 2010 and 2015 with honors. During his studies he received state fellowship and won two first prizes on national student conferences. He spent one year at Universitat Politècnica de València (UPV) over the course of his PhD. After his PhD he has worked as a lead AI scientist at aiMotive, one of the world’s largest independent automotive technology powerhouses working on level-agnostic automated driving solutions. Currently, he is working on metaverse enabling technologies.

2010 – 2015 Pázmány Péter Catholic University Faculty of Information Technology and Bionics,
    Multidisciplinary Technical Sciences Doctoral School
    Qualification: Summa cum laude

2012 – 2013 Universitat Politècnica de València Telecommunications and Multimedia Applications Institution (iTEAM)

2005 - 2010 Pázmány Péter Catholic University Faculty of Information Technology Budapest,
    Hungary Degree: Master of Sciences in Electronic and Computer Engineering
    Qualification: Excellent

2001 - 2005 Fényi Gyula Jesuit Grammar School Miskolc, Hungary

• Parallel sphere detector algorithm providing optimal MIMO detection on massively parallel architecturesParallel sphere detector algorithm providing optimal MIMO detection on massively parallel architectures, Concurrency and Computation: Practice and Experience, John Wiley & Sons, Ltd. · Apr 30, 2015Concurrency and Computation: Practice and Experience, John Wiley & Sons, Ltd. · Apr 30, 2015

• High performance lattice reduction on heterogeneous computing platformHigh performance lattice reduction on heterogeneous computing platform, The Journal of Supercomputing, Springer US · May 16, 2014The Journal of Supercomputing, Springer US · May 16, 2014

• Efficient GPU implementation of Lattice-Reduction-Aided Multiuser PrecodingEfficient GPU implementation of Lattice-Reduction-Aided Multiuser Precoding, Wireless Communication Systems (ISWCS 2013), Proceedings of the Tenth International Symposium on · Aug 27, 2013

• Performance analysis of a parallel lattice reduction algorithm on many-core architecturesPerformance analysis of a parallel lattice reduction algorithm on many-core architectures, Computational and Mathematical Methods in Science and Engineering (CMMSE), Proceedings of the 2013 International Conference on · Jun 24, 2013

• New Parallel Sphere Detector Algorithm Providing High-Throughput for Optimal MIMO DetectionNew Parallel Sphere Detector Algorithm Providing High-Throughput for Optimal MIMO Detection, 2013 International Conference on Computational Science · Jun 1, 2013

• New carrier generation techniques and their influence on bit energy in UWB radioNew carrier generation techniques and their influence on bit energy in UWB radio, Circuit Theory and Design (ECCTD), 2011 20th European Conference on · Oct 29, 2011Circuit Theory and Design (ECCTD), 2011 20th European Conference on · Oct 29, 2011

• Ultra-wideband impulse radio based on pulse compression technique.Ultra-wideband impulse radio based on pulse compression technique, Circuit Theory and Design (ECCTD), 2011 20th European Conference on · Aug 29, 2011

Method and system for lane detectionMethod and system for lane detection, US US10867190B1 · Issued Dec 15, 2020

2011 - I. prize OTDK – National Scientific Student Conference
           Pázmány Péter Catholic University Faculty of Information Technology
           Infocommunication section

2009 - I. prize TDK – Scientific Student Conference
            Pázmány Péter Catholic University Faculty of Information Technology
            Infocommunication section

2009 - Minister of Education
           Fellowship granted by the Republic