Dr Georgios Leontidis
Senior Lecturer in Computing Science, School of Natural and Computing Sciences
Tel: +44 (0)1224 272299
My research focuses on machine learning and digital technologies, with an interest in energy optimisation, agri-food supply chains, environmental data processing and industrial technologies. I am driven by machine learning theory but also how novel approaches can be applied to develop intelligent systems that can be used to optimise complex systems, inform decision-making processes and consider multiple objectives. I have been working with all sorts of data types and schemas, spanning time-series, Fourier data, images and videos, volumetric data, text and numerical data, either in isolation or as part of multimodal systems. Most of the projects I am involved in consider end-to-end pipelines from data collection to decision making, as well as scenarios whereby data availability is problematic either underrepresenting a specific case of interest or having missing values. Both are issues found in real-life problems, therefore it is crucial to be able to consider how intelligent approaches can be applied to such problems.
I am currently leading the machine learning group in the Department of Computing Science at the University of Aberdeen and have been leading projects related to machine learning, deep learning and data mining.
I was previously a Senior Lecturer in Machine Learning at the University of Lincoln, UK and before that a Senior Data Scientist at IBA Dosimetry GmbH, Germany. I obtained a BSc and MSc in Informatics and Machine Learning from the University of Athens, Greece and a PhD in Computer Science from the University of Lincoln, where I participated in a Marie-Sklodowska Curie EU funded project.
I have attracted collaborative research funding as PI/Co-I >£1.6M from various sources, including EPSRC/NERC, Innovate UK, EU-H2020 and industry. I have been collaborating with many EU partners on a project about nuclear reactor monitoring (http://cortex-h2020.eu/) and have had projects on retail refrigeration systems optimisation for reacting to the demand side response of NationalGrid (with Tesco) and Gas Turbine availability (with Siemens Lincoln).
I have given various invited talks on machine learning for nuclear reactor perturbation analysis most recently at UJV Rez, Czech Republic and at Paul Scherrer Institute, Switzerland. I am a member of the Full College of EPSRC, a sift/interview panel member at the UKRI Future Leaders Fellowships scheme, and a member of the data sharing working group of the UK AI council. In 2019 I participated in an IET Technical and Professional Network on Energy Digitalisation