Research groups

PARCO – Parallel Computing

Nicola Bombieri: Full Professor
Alessandro Farinelli: Full Professor (Department Computer Science)
Francesco Lumpp: PhD student (Department Computer Science)
Enrico Martini: Temporary Professor

Franco Fummi: Full Professor
Riccardo Muradore: Associate Professor
Michele Boldo: PhD student (Department Computer Science)

Research interests
Topic	Research area
Intelligent Agents	Bioinformatica e informatica medica Artificial intelligence
Intelligent Agents	Intelligenza Artificiale Artificial intelligence
Advanced Architecture	Sistemi Ciberfisici e IoT Sistemi fisici e ciberfisici
Embedded system design	Embedded and cyber-physical systems
Progettazione di sistemi embedded e IoT	Sistemi Ciberfisici e IoT Sistemi fisici e ciberfisici
AI, Robotics & Automatic Control	Sistemi robotici e automazione Sistemi robotici e automazione
Sistemi ciberfisici	Sistemi Ciberfisici e IoT Sistemi fisici e ciberfisici
Sistemi embedded di rete	Sistemi Ciberfisici e IoT Sistemi fisici e ciberfisici
Multiagent Systems	Bioinformatica e informatica medica Artificial intelligence
Multiagent Systems	Intelligenza Artificiale Artificial intelligence
Verifica di sistemi embedded	Sistemi Ciberfisici e IoT Sistemi fisici e ciberfisici

Projects
Title	Managers	Sponsors	Starting date	Duration (months)
DigitalRestaurant - a platforma for smart management of restaurant services	Nicola Bombieri	Digital Restaurant Srl	Mar 1, 2019	16
High-Performance Decision Support System to Diagnose Uncharacterized Eye Diseases	Nicola Bombieri	NEST Srl	Mar 9, 2018	24
Model-Based Design and Verication Flow for Embedded Vision Applications	Nicola Bombieri	INdAM	Feb 26, 2019	12
Observation of business processes, with objective guarantees of privacy protection, for the prevention of errors and risk situations in an automatic manner at the time of Industry 4.0 (OPERA 4.0)	Davide Quaglia	Fondazione Cariverona	Jan 1, 2021	24

Laboratories and Research Centres
Name	Description
Laboratorio PARCO (Parallel Computing)	The PARCO (Parallel Computing) lab is devoted to the development, analysis, and tuning of parallel code for multi-core and many-core (GPU) architectures. It provides HW and SW environment for developing in CUDA, OpenCL, OpenACC, OpenMP, MPI targeting performance, power, and energy consumption design constraints.