Massimo Cafaro is Associate Professor at the Department of Engineering for Innovation of the University of Salento. His research covers Parallel and Distributed Computing, Cloud and Grid Computing, Data Mining, Machine Learning, Deep Learning, Big Data, Security and Cryptography. He received a Laurea degree (MSc) in Computer Science from the University of Salerno and a Ph.D. in Computer Science from the University of Bari. He is the Director of the Master in Applied Artificial Intelligence and head of the HPC Lab and AIMA (AI Models and Algorithms) Lab at the University of Salento. He is a Senior Member of the IEEE and IEEE Computer Society, Senior Member of the ACM, Vice Chair of Regional Centers and Coordinator of the Technical Area on Data Intensive Computing for the IEEE Technical Committee on Scalable Computing. He serves as an Associate Editor for IEEE Access, Concurrency and Computation: Practice and experience, and MDPI Future Internet, and as a moderator for the IEEE TechRxiv preprint repository ("Computing and Processing" category). He is the author of more than 140 refereed papers and holds a patent on distributed database technologies. He focuses his research on High Performance and Distributed computing on both theoretical and practical aspects, in particular the design and analysis of sequential, parallel and distributed algorithms.

Associate Professor at the University of Salento, Italy

National Scientific qualification as full professor in the Italian higher education system, for the disciplinary field of 09/H1 - Information processing systems. (Academic Recruitment Field 09/H - Computer engineering, according to the national classification)

National Scientific qualification as full professor in the Italian higher education system, for the disciplinary field of 01/B1 - Informatics. (Academic Recruitment Field 01/B - Informatics, according to the national classification)

Ph.D. in Computer Science, University of Bari, Italy.
Laurea Degree in Computer Science, University of Salerno, Italy.