Maurizio Naldi
Full Professor of Computer Science @Università Lumsa
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WORK HISTORY
Full Professor of Computer Science @Università Lumsa
Rome, IT
Director, BSc Pogramme in Computer Science for Data Management
EDUCATION
University of Rome Tor Vergata
PhD, Telecommunications Engineering
Università degli Studi di Palermo
MSc (magna cum laude), Electronic Engineering
Liceo Scientifico "A. Einstein"
High School Diploma with honours
SKILLS
ABOUT MAURIZIO NALDI
Maurizio Naldi was born in Palermo in 1963. He graduated cum laude in 1988 in Electronic Engineering at the University of Palermo and then received his Ph.D. in Telecommunications Engineering from the University of Rome at Tor Vergata. After graduation he pursued an industrial career, first at Selenia (now Selex) as a radar designer (19••••91), and then in the Network Planning Departments of Italcable (19••••94), Telecom Italia (19••••98), and WIND where he was appointed Head, Traffic Forecasting & Network Cost Evaluation Group. In the period he was active in the standardization bodies (ETSI and ITU), in particular as Associate Rapporteur for Broadband Traffic Measurements and Models at ITU Study Group 2. In the same period he also taught several courses in Network Planning and Traffic Engineering at the Scuola Superiore Guglielmo Reiss Romoli (now Telecom Italia Learning Services) in L\'Aquila. In he was with the University of Rome at Tor Vergata as an Associate Professor. He left in 2019 to join LUMSA University as a Full Professor, serving also as the Director of the BSc Programme in Computer Science for Data Management. Prof. Naldi is the author of more than 150 scientific publications. He is a Senior Member of (Institution of Electrical and Electronic Engineers), a member of ACM (Association for Computing Machinery), and MAA (Mathematical Association of America). His research interests lie in the field of traffic analysis, network economics, and statistical/machine learning.Specialties: Network planning, Demand analysis, Traffic engineering, Network economics, Sentiment analysis
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