I am a Research Lecturer at the KIOS Research & Innovation Center of Excellence at the University of Cyprus. I earned my Ph.D. in Computer Engineering from the Department of Electrical and Computer Engineering at the University of Cyprus in 2014. I graduated top of my class with a B.Sc. in Computer Engineering in 2008 and completed an M.Sc. in Computer Engineering in 2010 with a full scholarship, all from the University of Cyprus.
My research lies at the intersection of Computing, Machine Learning, and Computer Vision. I have made significant contributions in the areas of computation/data-efficient machine/deep learning design/search (Cascade SVM), and perception learning for vision systems (EmergencyNet, DroNet), particularly in recognition, detection, segmentation, and control. My work has resulted in over 70 scientific publications, including two best paper awards. My long-term research goal is to address the questions: a) How can we design and optimize machine learning models to achieve high performance while being computation- and data- efficient? b) How can learning systems dynamically adapt to changing contexts and environmental conditions to enhance efficiency and robustness in real-time applications? c) What strategies can be developed to ensure the robustness and trustworthiness of AI systems, particularly in safety-critical applications, by mitigating vulnerabilities to cybersecurity threats, noise, and adversarial attacks?
My expertise extends to actively participating in the conception, design, and implementation of numerous National and European funded research and innovation projects. My research activities encompass applications in emergency management, traffic monitoring, autonomous vehicles, and surveillance. I also serve as a reviewer for several computer vision and machine learning journals (e.g., IEEE Trans. PAMI, IEEE Trans. Artificial Intelligence; IEEE Trans. Neural Networks and Learning Systems, IEEE Trans. Image Processing), and conferences (e.g., CVPR, ECCV, ICCV, WACV, NeurIPS, ICML, ICLR).