Fabrizio Marozzo, PhD
Associate Professor of Computer Engineering
Department of Electronics, Computer Science and System Sciences (DIMES), University of Calabria
Via Pietro Bucci – Cubo 41C (5th floor)
87036 Rende (CS), Italy
Email: fabrizio.marozzo@unical.it or fmarozzo@dimes.unical.it
Office Phone: +39 0984 494782
Fabrizio Marozzo is an Associate Professor of Computer Engineering at the
DIMES Department,
University of Calabria, Italy, since March 2025.
From June 2019 to February 2025, he served as Assistant Professor at the same department.
He is also co-founder of DtoK Lab S.r.l.,
an academic spin-off of the University of Calabria established in 2014.
His research focuses on scalable and intelligent systems for Big Data analytics,
Large Language Models, machine learning, and cloud-edge computing,
with applications in social media analysis, misinformation detection, smart mobility,
and AI-assisted decision making.
Associate Professor of Computer Engineering since March 2025 ·
Visiting Professor at the University of Cambridge, Computer Laboratory, June 2026 ·
Visiting Researcher at the Barcelona Supercomputing Center, September 2011/February 2012 ·
IEEE Senior Member ·
Italian National Academic Qualification as Full Professor ·
About 150 scientific papers ·
Author/co-author of 4 books ·
About 3,000 citations on Google Scholar
He is an IEEE Senior Member and serves as Associate Editor or Editorial Board Member
for several international journals, including IEEE Transactions on Big Data,
IEEE Access, Journal of Big Data (Springer), SN Computer Science (Springer),
Scalable Computing: Practice and Experience, Big Data and Cognitive Computing (MDPI),
and Algorithms (MDPI). He has also served on the Program Committees of major
international conferences, including IEEE BigData, IJCAI, ICDM, PAKDD,
and Euro-Par.
He has published about 150
scientific papers
and several books, including
Generative AI and Large Language Models,
Programming Big Data Applications: Scalable Tools and Frameworks for Your Needs,
Review Papers in Big Data, Cloud-Based Data Analysis and Learning Systems,
and
Data Analysis in the Cloud.
Selected books
Data Analysis in the Cloud, Elsevier, 2015.
Programming Big Data Applications, World Scientific, 2024.
Review Papers in Big Data, Cloud-Based Data Analysis and Learning Systems, MDPI Books, 2023.
Generative AI and Large Language Models, MDPI Books, 2026.