Neofytos Dimitriou is an Associate Scientist at the Cyprus Marine and Maritime Institute, where he is working on projects involving machine learning, computer vision, deep learning, reinforcement learning, and remote sensing. He is using these technologies to address challenges faced by the maritime industry, such as using remote sensing for border control, illegal fishing monitoring, and maritime traffic monitoring, and combining sequential estimation methods such as Kalman filters and particle filters with reinforcement learning to improve situational-awareness in systems with multiple agents.
Neofytos recently graduated from the University of St Andrews with a PhD in Computer Science, where his research focused on the development of machine learning and computer vision algorithms for use in digital pathology. He published numerous works on this topic and developed expertise in the application of machine learning techniques to cancer diagnosis and prognosis from tissue slide images. In addition to his PhD research, Neofytos served as the lead researcher and engineer in a project involving the re-identification of seals from field trip images using deep learning, and was invited to be the machine learning expert in an international consortium interested in outlier detection of cosmological images.
In addition to his technical work, Neofytos has also co-supervised master students, given a series of lectures to postgraduates on the theoretical underpinnings of deep learning, and served as a reviewer for multiple journals and conferences in his field. He is dedicated to promoting the understanding and application of AI in various fields and is highly engaged in communicating science and his own research to both industry and academia, as well as popularizing artificial intelligence to students and researchers from diverse backgrounds.