Séminaire LMCS:  Data Science as an economic development driver 

ESI > Articles > Séminaire LMCS:  Data Science as an economic development driver 

Dans le cadre des activités du laboratoire LMCS, nous avons le grand plaisir de vous annoncer la visite du Pr Farid MEZIANE, responsable du thème académique Science des données, chef du centre de recherche en science des données, enseignant et chercheur en science de données à l’école d’informatique du collège des sciences et de l’ingénierie de Derby (Royaume-Uni), le mercredi 7 février 2024. Il animera, à partir de 10h à la salle VISIO, une conférence très intéressante et d’actualités dont l’intitulé est « Data Science as an economic development driver  » (Data Science comme moteur de développement économique).

Ce séminaire est destiné en particulier aux doctorants, aux étudiants en fin d’études et aux jeunes enseignants-chercheurs. Nous encourageons le public cible à assister à cet évènement scientifique


The talk will summarise the development of the data science research centre at the University of Derby and its mission in engaging with local industries and partners. The focus will be on the projects the centre currently develops with its partners and its impact on the local economy.


PhD/FHEA, Professor of Data Science, Lead Data Science Academic Theme, Head Data Science Research Centre, College of Science and Engineering, School of Computer Science, Derby, UK


He is a Professor of Data Science at the University of Derby, School of Computing and Engineering, College of Science and Engineering and Head of the Data Science Research Centre. As such, his role is mainly on leading and developing research and innovation in the areas of Data Science and Artificial Intelligence. As the chair of the college research committee (CRC), he is overseeing the implementation of the university’s research strategy within the college and issues regarding Postgraduate Research students’ progress. He is working with colleagues in the DSRC to provide innovative solutions to local and national industries in the areas of data science and artificial intelligence. He is currently teaching the Natural Language Processing module offered as part of the MSc in Big Data Analytics. He is also supervising final year projects at bachelor’s level and MSc dissertations. His interests are in developing impactful research to solve real-life problems using data science and AI techniques. His domains of interest include e-commerce and targeted marketing, health informatics with special emphasis on the classification of medical imaging and Natural language processing. His research interests are mainly in the fields of data science applications and Natural Language Processing. Specifically, over the last few years he has developed research in: Medical Image classification using machine learning, standardisation of radiology reports using natural language techniques and sentiment analysis Natural language processing.

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