Rate My Professor Marcello Trovati

Trovati's research specializations encompass data science, big data, data and text mining, artificial intelligence, and mathematical modelling. His expertise is evidenced by approximately 100 peer-reviewed publications in international journals and conferences, predominantly as lead author. Key contributions include the authored book Guide to Computational Modelling for Decision Processes: Theory, Algorithms, Techniques and Applications (Springer, 2017) and edited volumes Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications (Springer, 2016) and Guide to Security Assurance for Cloud Computing (Springer, 2016). Prominent journal articles are Statistical exploratory analysis of mask-fill reproduction operators of Genetic Algorithms (Applied Soft Computing, 2021), PERMS: An efficient rescue route planning system in disasters (Applied Soft Computing, 2021), Logistic Regression Multinomial for Arrhythmia Detection (International Journal of Distributed Systems and Technologies, 2017), and An entropy based approach to real-time information extraction for industry 4.0 (IEEE Transactions on Industrial Informatics, 2019). He has obtained research funding over £1 million as Principal or Co-Principal Investigator. Trovati is Editor-in-Chief of Applied Artificial Intelligence (Taylor & Francis), serves on boards of other journals, is a Fellow of the Institute of Mathematics and its Applications, a Chartered Mathematician, and has given keynote speeches at international conferences and chaired workshop panels.