Christos Kyrkou is a Research Lecturer at the KIOS Research & Innovation Center of Excellence at the University of Cyprus. Dr. Kyrkou obtained his Ph.D. degree in Computer Engineering from the University of Cyprus in 2014. He completed his B.Sc. in Computer Engineering in 2008 graduating top of his class, and M.Sc. in Computer Engineering in 2010 where he was awarded a full scholarship, both from the University of Cyprus. He is an author/co-author of more than 60 scientific publications in international peer reviewed conferences and journals, including 2 best paper awards in the broaded areas of computing, machine learning, and computer vision. In particular, his research expertise are in the domains of Deep Learning and Vision with a strong focus on improving efficiency of recognition, detection, and segmentation algorithms with emphasis on real-time performance. Specifically, his research addresses the challenges of on-device AI through neural architecture improvement, and data-centric methodologies that allow for rapid and accurate data analysis and prediction tasks such as visual recognition and detection. Dr. Kyrkou has actively contributed to numerous National and European funded research and innovation projects with applications in emergency management, traffic monitoring, autonomous vehicles, and drones. Additionally, he is a frequent reviewer for esteemed conferences and periodicals in the areas of computer vision and machine learning , including CVPR, NeurIPS, and ICML.