Prof. Massimo Cafaro is an Associate Professor at the Department of Innovation Engineering of the University of Salento. His research interests include Parallel and Distributed Computing, Grid and Cloud Computing, Data Mining, Machine Learning, Deep Learning, Big Data, and Security. He is the Director of the Master in Applied Artificial Intelligence at the University of Salento. He graduated in Computer Science at the University of Salerno, and received his PhD in Computer Science at the University of Bari. He was a Visiting Professor at the British Institute of Technology and E-Commerce, London, UK. He is an invited lecturer at several universities and research institutions, and is a member of the IEEE Technical Committees on Parallel Processing, Distributed Processing, Scalable Computing, and Services Computing. Furthermore, he is the Vice Chair of Regional Centers and coordinator of the Technical Area on Data Intensive Computing within the IEEE Technical Committee on Scalable Computing. He actively collaborates with the National Institute of Geophysics and Volcanology (INGV) and the Euro-Mediterranean Center for Climate Change (CMCC), dealing with theoretical and practical research aspects with a particular focus on the design, analysis and implementation of sequential, parallel, and distributed algorithms.
Prof. Massimo Cafaro is an Associate Professor at the Department of Innovation Engineering of the University of Salento. His research interests include Parallel and Distributed Computing, Grid and Cloud Computing, Data Mining, Machine Learning, Deep Learning, Big Data, and Security. He is the Director of the Master in Applied Artificial Intelligence at the University of Salento. He graduated in Computer Science at the University of Salerno, and received his PhD in Computer Science at the University of Bari. He was a Visiting Professor at the British Institute of Technology and E-Commerce, London, UK. He is an invited lecturer at several universities and research institutions, and is a member of the IEEE Technical Committees on Parallel Processing, Distributed Processing, Scalable Computing, and Services Computing. Furthermore, he is the Vice Chair of Regional Centers and coordinator of the Technical Area on Data Intensive Computing within the IEEE Technical Committee on Scalable Computing. He actively collaborates with the National Institute of Geophysics and Volcanology (INGV) and the Euro-Mediterranean Center for Climate Change (CMCC), dealing with theoretical and practical research aspects with a particular focus on the design, analysis and implementation of sequential, parallel, and distributed algorithms.