Zoltan Megyesi, Ph.D.
Chief Operating Officer, CTL Software
Personal StatementI was always fascinated by imaging and vision systems and as a researcher I studied ways to extract information from images using the methods of Computer Vision. Combining this with the urge of developing functional software tools and systems that have an impact and may help mankind in that way lead me to CTL. Today, I am proud to be leading a group of dedicated developers with the single goal of creating image analysis solutions that accommodate challenges of immune monitoring.
Education and Training
I studied and received my MSc from ELTE University, Budapest, Hungary. I worked for the Computation and Automation Research Institute of the Hungarian Academy of Sciences, and received my Ph.D. in Computer Sciences from ELTE University, Budapest, Hungary with summa cum laude. Later, before joining CTL, I became an Associate Professor at the John von Neumann University Kecskemét, Hungary.
- A. Y. Karulin, Z. Megyesi, R. Caspell, J. Hanson, and P. V. Lehmann, “Multiplexing T- and B-Cell FLUOROSPOT Assays,” in Methods in Molecular Biology, 1808, 95-113, 2018.
- A. Lehmann, Z. Megyesi, A. Przybyla, and P. Lehmann, “Reagent Tracker Dyes Permit Quality Control for Verifying Plating Accuracy in ELISPOT Tests,” in Cells, 7, 3–10, 2018.
- Z. Megyesi, P. V. Lehmann, and A. Y. Karulin, “Multi-Color Fluorospot Counting Using ImmunoSpot® Fluoro-XTM Suite”. Methods in Molecular Biology, 1808, 115-131, 2018.
- G. Katai-Urban, I. Eichhardt, V. Otte, Z. Megyesi, and P. Bixel, “Reconstructing atmospheric cloud particles from multiple fisheye cameras,” Solar Energy, 171, 171–184, 2018.
- G. Katai-Urban, V. Otte, N. Kees, Z. Megyes and P. Bixel, “Stereo reconstruction of atmospheric cloud surfaces from fish-eye camera images,” International Archives of Photogrammetry and Remote Sensing (2002-), vol. XLI-B3, pp. 49–56, 2016.
- G. Katai-Urban, F. Koszna, and Z. Megyesi, “Composition and calibration of a custom-made omnidirectional camera,” in SISY 2015: IEEE 13th International Symposium on Intelligent Systems and Informatics, 2015, pp. 235–239.
- G. Katai-Urban, F. Koszna, and Z. Megyesi, “Omnidirectional camera calibration,” in Proceedings of TEAM 2014, 2014, pp. 129–133.
- G. Katai-Urban, and Z. Megyesi, “Omnidirectional cameras in car mounted camera systems,” in Proceedings of the 5th International Scientific and Expert Conference of the International TEAM Society, 2013, pp. 240–243.
- I. Pintér, Z. Megyesi and G. Katai-Urban, “Estimation of geometrical features of wireforms using 3-dimensional image reconstruction data,” in Proceedings of Factory Automation 2012, 2012, pp. 46–49.
- G. Katai-Urban, G. Mag, and Z. Megyesi, “3D robot interaction using single hand gestures,” in Factory Automation 2011 Conference, 2011, pp. 178–185.
- Z. Megyesi, A. Barsi, and T. Balogh, “3D video visualization on the holovizioTM system,” in 3DTV Conference, 2008, pp. 269–272.
- Z. Megyesi, G. Kós, and D. Chetverikov, “Dense 3D Reconstruction from Images by Normal Aided Matching,” Machine Graphics and Vision, 15, 3–28, 2006.
- D. Chetverikov, Z. Megyesi, and Z. Jankó, “Finding region correspondences for wide baseline stereo,” in 17th International Conference on Pattern Recognition, 2004, pp. 276–279.
- Z. Megyesi and D. Chetverikov, “Enhanced surface reconstruction from wide baseline images,” in 3D Data Processing, Visualization, and Transmission. Proceedings of the 2nd International Symposium Thessaloniki, 3DPVT 2004, 2004, pp. 463–469.
- Z. Megyesi and D. Chetverikov, “Affine propagation for surface reconstruction in wide baseline stereo,” in 17th conference of the International Association for Pattern Recognition, 2004, pp. 76–79.
- D. Chetverikov, Z. Megyesi, Z. Jankó, and J. Matas, “Using periodic texture as a tool for wide-baseline stereo in Vision with Non-traditional Sensors”. 26th Workshop of the Austrian Association for Pattern Recognition. (ÖAGM/AAPR). Graz, 2002. (Österreichische Computer Gesellschaft, Band 160), 2002, pp. 37–44.