Dr. Dimitrios Tsourounis

I am a physicist with a B.Sc. in Physics (2015), a M.Sc. in Electronics and Information Processing (2017), and a Ph.D. in Computer Vision and Deep Learning (2023), all from the University of Patras. I have been actively involved in several research projects, specializing in the design and implementation of advanced deep learning techniques, primarily for computer vision applications. My research focuses on machine vision recognition and deep learning, integrating concepts such as knowledge distillation, sparse representation, Riemannian geometry, and artificial neural network architectures. These methods have been applied across various domains, including road inspection (RoadEye), cloud classification using optical and thermal imagery (DeepSky), biometric verification for offline signature images, sequential modeling for lip reading, biomedical ultrasound imaging, 3D point cloud semantic segmentation, Physics-Informed Neural Networks (PINNs), and AI-driven mineral exploration (aiMining). During the 2023–2024 academic year (spring semester), I served as an Instructor (Adjunct Professor) at the Department of Informatics and Computer Engineering, University of West Attica (Athens, Greece), where I taught the courses “Computer Vision” and “Graph Theory and Applications”. Since 2023, I have been working as a senior computer scientist at Quantum Neural Technologies (QNT S.A.) start-up company, focusing on variational quantum algorithms and exploring the intersection of quantum computing and artificial neural networks. Through collaborative research and industrial projects with academic and institutional partners, I continue to expand my expertise in this rapidly evolving field. My research interests include image processing, computer vision, machine learning, pattern recognition, and artificial neural networks.