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Center for Monitoring and Modelling Marine and Atmospheric research and applications

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Main Menu
  • Home
  • Articles
  • Instruments
    • Signal K: The Open Marine Data Platform
  • Models
    • Weather Research and Forecasting Model (WRF)
    • WaveWatch III
    • Regional Ocean Model System (ROMS)
    • Water quality Community Model (WaComM++)
    • Artificial Intelligence-based water QUAlity Model (Aiquam)
  • Apps
    • MytilEx: Extended Modeling mytilus farming System with High-Performance Computing and Artificial Intelligence
    • SmokeTracer
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Raffaele Montella

Associate Professor

Raffaele Montella is an Associate Professor with tenure in Computer Science at the Department of Science and Technologies (DiST), University of Naples “Parthenope'” (UNP), Italy. He got his degree (MSc equivalent) cum laude and an award mention to his study career in (Marine) Environmental Science at the University of Naples “Parthenope” in 1998, defending a thesis about the “Development of a GIS system for marine applications”. He defended his Ph.D. thesis on “Environmental modeling and Grid Computing techniques” earning a Ph.D. in Marine Science and Engineering at the University of Naples “Federico II”. His main research topics and scientific production are focused on: tools for high-performance computing, cloud computing, and GPUs with applications in the field of computational environmental science (multi-dimensional geo-referenced big data, distributed computing for modeling, and scientific workflows and science gateways) leveraging on his previous (and still ongoing) experiences in embedded, mobile, wearable, pervasive computing, and Internet of Things. He joined the CI/RDCEP of the University of Chicago as Visiting Scholar and Visiting Assistant Professor working on the FACE-IT project. He leads the High-Performance Scientific Computing (HPSC) Laboratory and the IT infrastructure of the UNP Center for Marine and Atmosphere Monitoring and Modeling (CMMMA). He technically led the University of Naples “Parthenope” research unit of the European Project “Heterogeneous secure multi-level Remote Acceleration service for low-Power Integrated systems and Devices (RAPID)”. His effort focused on GVirtuS development and integration (General purpose Virtualization Service), enabling CUDA kernel execution on mobile and embedded devices. He led the locally funded project: “Modeling mytilus farming System with Enhanced web technologies (MytiluSE)” focused on high-performance computing based coupled simulations for mussels’ farms’ food quality prediction and assessment for human gastric disease mitigation. He leads the locally funded project “MytilAI – Modeling mytilus farming with Artificial Intelligence technologies”, focused on using AI techniques for mussel pollutants contamination predictions. He leads the research project: “DYNAMO: Distributed leisure Yacht-carried sensor-Network for Atmosphere and Marine data crOwd-sourcing applications”, targeting coastal marine data gathering as crowd-sourcing for environmental protection, development, and management. He led the UNP unit of the Erasmus+ Project “Framework for Gamified Programming Education (FGPE)” and is leading the UNP unit of the project “FGPE Plus: Learning tools interoperability for gamified programming education” as an ideal extension of FGPE ending in May 2021. Since 2021 he has been head of the UNP node CINI Lab/Working Group “HPC: Key Technologies and Tools”. Since 2022 he has been the head of the AWS Academy at the University of Naples “Parthenope”. In February 2023, he gained the Italian National Academic Qualifications as Full Professor in Computer Science (01/B1).

  • Article

High-Performance Computing + Artificial Intelligence: is the Campania methodology for mussels bacterial contamination scalable?

The High-Performance Scientiic Computing Laboratory (https://hpsclab.uniparthenope.it, Department of Science and Technology, University of Naples “Parthenope”) is involved in an ongoing se...

Raffaele Montella
May 30, 2025
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  • Article

BlackJeans, 15 years of operational weather forecasting.

Article by Raffaele Montella, Associate Professor of Computer Science, at the Department of Science and Technology of the University of Naples “Parthenope” who tells the story of BlackJeans, an HPC sy...

Raffaele Montella
May 21, 2025
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meteo@uniparthenope

Data and derived maps are generated automatically using numerical weather prediction techniques with any human intervention. Products are provided as is. The interpretation must be performed by experts at its own risk. All the published information are in any case as in substition of official documents. All time is referenced by UTC. In any case the meteo@uniparthenope staff, the CMMMA, the Department of Science and Technologies, the University of Napoli Parthenope and any person involved in related research and production activities NOT are responsible for damages and ingiuries to goods and people.

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