{"id":22,"date":"2009-12-05T18:34:56","date_gmt":"2009-12-05T16:34:56","guid":{"rendered":"http:\/\/www.fabriziomarozzo.it\/?page_id=22"},"modified":"2026-04-22T08:21:34","modified_gmt":"2026-04-22T08:21:34","slug":"home","status":"publish","type":"page","link":"https:\/\/scalab.dimes.unical.it\/marozzo\/","title":{"rendered":"Home"},"content":{"rendered":"
\n
\n
\n \"Fabrizio
\n <\/a>\n <\/div>\n
\n

Fabrizio Marozzo, PhD<\/strong><\/p>\n

\n Associate Professor in Computer Engineering<\/em>
\n Department of Electronics, Computer Science and System Sciences (DIMES), University of Calabria
\n Via Pietro Bucci – Cubo 41C (5th floor)
\n 87036 Rende (CS), Italy\n <\/p>\n

\n Email<\/em>: fabrizio.marozzo@unical.it   or<\/em>   fmarozzo@dimes.unical.it\n <\/p>\n

\n Office Phone<\/em>: +39 0984 494782\n <\/p>\n<\/p><\/div>\n<\/div>\n

 <\/p>\n

Fabrizio Marozzo<\/strong> is an Associate Professor in Computer Engineering<\/em> at the
\nDIMES Department<\/a>,
\nUniversity of Calabria<\/a>, Italy, since 2019.
\nHe is also co-founder of DtoK Lab S.r.l.<\/a>,
\nan academic spin-off of the University of Calabria established in 2014.<\/p>\n

His current research explores big data analytics<\/strong>, generative artificial intelligence<\/strong>,
\nlarge language models<\/strong>, machine learning<\/strong>, and cloud computing<\/strong>.<\/p>\n

He is an IEEE Senior Member<\/strong> and serves as Associate Editor<\/strong> for several international journals,
\nincluding IEEE Access<\/em>, IEEE Transactions on Big Data<\/em>, Journal of Big Data<\/em> (Springer),
\nSN Computer Science<\/em> (Springer), Scalable Computing: Practice and Experience<\/em>,
\nBig Data and Cognitive Computing<\/em> (MDPI), Algorithms<\/em> (MDPI), and Heliyon<\/em> (Elsevier).
\nHe has also served on the Program Committees<\/strong> of leading international conferences such as the
\nIEEE International Conference on Big Data (IEEE BigData)<\/em>,
\nInternational Joint Conference on Artificial Intelligence (IJCAI)<\/em>,
\nIEEE International Conference on Data Mining (ICDM)<\/em>,
\nPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)<\/em>,
\nand the European Conference on Parallel and Distributed Computing (Euro-Par)<\/em>.<\/p>\n

He has published about 150<\/strong>
\nscientific papers<\/a>,
\nincluding the books
\nData Analysis in the Cloud<\/em><\/a> and
\n
\nProgramming Big Data Applications: Scalable Tools and Frameworks for Your Needs<\/em><\/a> with about 3,000 citations on Google Scholar and an h-index of 31.<\/p>\n

In October 2022, he obtained the Italian National Academic Qualification<\/strong>
\n(Abilitazione Scientifica Nazionale<\/a>)
\nas Full Professor (Professore Ordinario)<\/strong> in the field of Computer Engineering<\/em>
\n(Sistemi di Elaborazione delle Informazioni \u2013 SC 09\/H1 \u2013 SSD ING-INF\/05<\/em>).<\/p>\n

\"D.<\/a>
D. Talia, P. Trunfio, F. Marozzo, L. Belcastro, R. Cantini, A. Orsino, \u201cProgramming Big Data Applications: Scalable Tools and Frameworks for Your Needs\u201d, World Scientific, 2023. [ISBN: 978-1-80061-504-5].<\/figcaption><\/figure>\n
\"D.<\/a>
D. Talia, F. Marozzo, \u201cReview Papers in Big Data, Cloud-Based Data Analysis and Learning Systems\u201d, 2023. [ISBN: 978-3-0365-8000-5].<\/figcaption><\/figure>\n

\"D.<\/a>
D. Talia, P. Trunfio, F. Marozzo, \u201cData Analysis in the Cloud\u201d, Elsevier, 2015.<\/figcaption><\/figure>