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Marcello Trovati

Marcello Trovati

Marcello Trovati is a Professor in Computer Science in the Department of Computer Science, Edge Hill University, as well as the Editor in Chief of Applied Artificial Intelligence, Taylor & Francis. After having obtained his PhD in Mathematics at te University of Exeter in 2007, specialising in theoretical dynamical systems with singularities, he accepted a position as algorithm tester and research specialist at a medium sized software development company. His main responsibility was to create test and documents state-of-the-art statistical algorithms to analyse big datasets.

He then moved to the newly created Dublin IBM Research Lab to carry out research mainly in the field of knowledge discovery, text mining, and mathematical modelling, where he gained valuable business and research experience through collaboration with several scientists both at IBM, and at academic institutions. He was involved in a number of research projects in collaboration with other IBM Research Centres and academic institutions

He then joined Coventry University to take up a position as Teaching Fellow, and subsequently the University of Derby as a lecturer, during which he was involved various multi-disciplinary projects focussing on mathematical modelling, algorithm design, and big data analytics.

In 2016 Marcello joined the Computer Science Department at Edge Hill University as a senior lecturer and he was recently awarded a Readership in Computer Science. He is involved in several research themes and projects. He is co-leading the STEM Data Research centre and is actively involved in the Productivity and Innovation Lab, aiming to collaborate and support SMEs in Lancashire.

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Data Science and Artificial Intelligence for Digital Healthcare37 %
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Guide to Security Assurance for Cloud Computing36 %
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18 Mar 2016
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Guide to Security Assurance for Cloud Computing36 %
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Big-Data Analytics and Cloud Computing37 %
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Big-Data Analytics and Cloud Computing37 %
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Guide to Computational Modelling for Decision Processes36 %
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Guide to Computational Modelling for Decision Processes36 %
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8.
Advances in Multimodal Large Language Models for Healthcare
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Proceedings of International Conference on Recent Innovations in Computing37 %
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Big Data Science for Criminology and the Social Sciences2 % NR
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28 Jul 2025
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