Faculty

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Enrico Gallinucci

Fixed-term Researcher in Tenure Track L. 79/2022

keywords: Big Data, NoSQL Databases, Social Data Analysis, Trajectory Data Analysis, Precision Agriculture, Business
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Mauro Gaspari

Associate Professor

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Vittorio Ghini

Associate Professor

keywords: Terminal mobility architectures, Multi-layer simulation for IoT systems, Network load balancing, Energy consumption
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Saverio Giallorenzo

Fixed-term Researcher in Tenure Track L. 79/2022

keywords: Programming Languages, Process Algebras, Session Types, Choreographic Programming, Microservices, Dynamic Adaptability,
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Roberto Girau

Senior assistant professor (fixed-term)

keywords: internet of things, cloud computing, smart city
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Matteo Golfarelli

Full Professor

keywords: Big Data, Data warehouse, Design process, Data Mining, Analytics, Social business intelligence, Opinion mining,
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Roberto Gorrieri

Full Professor

keywords: Models for the description of concurrent systems, Process algebras and Petri nets, Information-flow security,
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Fabio Grandi

Associate Professor

keywords: Temporal database, Schema versioning, Ontology versioning, E-government, E-health, Semantic web
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Abdelsalam Ali Helal

Full Professor

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Zeynep Kiziltan

Associate Professor

keywords: Artificial intelligence, Combinatorial decision making, Constraint programming, Optimization, Optimization and machine
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Ivan Lanese

Associate Professor

keywords: Multiparty sessions, Reversible languages, Process calculi, Service-oriented computing
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Cosimo Laneve

Full Professor

keywords: programming languages, static analysis of programs, programming languages semantics, prototype implementations of
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Giuseppe Lisanti

Associate Professor

keywords: Computer Vision, Pattern Recognition, Machine Learning, Deep Learning
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Michael Lodi

Junior assistant professor (fixed-term)

keywords: Computer science education, Computational thinking, CS growth mindset, Transfer of learning, Creative computing,

Stefano Lodi

Associate Professor

keywords: Data mining, Machine learning, Big data analytics, Data science, Quantum Machine Learning
keywords: numerical optimization methods, inverse problems in imaging, Deep learning in imaging applications, tomographic image