As an AI and Cloud Engineer, I bring together a blend of skills in artificial intelligence (AI) and cloud computing.
I specialize in crafting advanced AI solutions, utilizing techniques like machine learning,
natural language processing, and computer vision.
My expertise extends to deploying these solutions on cloud platforms such as AWS, ensuring scalability and efficiency.
With a solid background in software engineering, I excel in creating reliable systems that leverage AI and
cloud technologies to tackle intricate business problems while driving innovation forward.
Awarded for Ph.D. thesis
2011
Ph.D
2010
The Dean's Honorable Mention for the excellent elaboration of M.Sc. thesis
2004
Scholarship “Aktion Österreich - Slowakei”
2003
P. Gemeiner, B. Micusik and R. Pflugfelder. Calibration Methodology for Distant Surveillance Cameras. Workshop on Visual Surveillance and Re-Identification, 13th European Conference on Computer Vision, September 2014.
P. Gemeiner, A. J. Davison, and M. Vincze. Improving localization robustness in monocular SLAM using a high-speed camera. In Robotics Science and Systems, June 2008.
P. Gemeiner, P. Einramhof, and M. Vincze. Simultaneous motion and structure estimation by fusion of inertial and vision data. International Journal of Robotics Research, Special Issue on Integration of Vision and Inertial Sensors, 26(6):591-605, June 2007.
P. Gemeiner, L. Armesto, N. Montès, J. Torn ero, M. Vincze, and A. Pinz. Visual tracking can recapture after fast motions with the use of inertial sensor. In Workshop of the Austrian Association for Pattern Recognition, March 2006.
Vienna University of Technology
2004-2010
London, UK
2007
STU Bratislava
2002-2004
Scientific visit 2007, Shot-term, Dr. Andrew Davison, Imperial College London, London, UK
2007
Scientific visit 2005, Shot-term, Prof. Josep Tornero, University of Valencia, Valencia, Spain
2005
Transactions on Robotics, Intelligent Robots and Systems, Robotics and Automation,
Journal of Robotics Research, Sensors
2011
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