Christos Kyrkou is currently a Research Lecturer at the KIOS Research & Innovation Center of Excellence at the University of Cyprus. Between Jan. 2021 and Dec.2021 he held the position of Senior Research Associate at KIOS CoE. Dr. Kyrkou received his Ph.D. degree in Computer Engineering from the University of Cyprus in 2014 with a thesis entitled ” Real-Time Hardware Acceleration of Object Detection for Intelligent Embedded Vision Systems”. Prior to that he was awarded a full scholarship and received his M.Sc. in Computer Engineering from the University of Cyprus in 2010. Preceding that, he graduated top of his class and received his B.Sc. in Computer Engineering in 2008 from the University of Cyprus.
He is an author/co-author of more than 50 scientific publications in international peer reviewed conferences and journals, including 2 best paper awards. His research interests lie in the areas of Computer Vision and Deep Learning with emphasis on real-time performance. In particular, efficient neural network architectures and techniques, algorithms for visual object recognition and detection, with applications in emergency management, smart cameras, autonomous vehicles, and UAVs. He serves as a reviewer for major conferences in the areas of computer vision and machine learning such as CVPR, NeurIPS, and ICML.
He has worked in several National and European funded research and innovation projects. Currently, he is working on robust visual AI for autonomous vehicles under the H2020 project CARAMEL, and traffic monitoring using UAVs under the Cyprus RIF project RONDA. In 2011 he co-founded ACC Innovations Ltd and up to December 2017 he served as Director of Technology and Operations contributing to funded proposals by the Cyprus Government and the development of embedded firmware for robotics platforms. In 2017 he graduated from the 9-month Self-Driving Car Engineering program by UDACITY. He has also received individual GPU Grants by NVIDIA in support of his research.
Personal Webpage: https://www.christoskyrkou.com