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Computer Science

D-Index
40
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5420
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9423
National Ranking
271

Overview

Marco Mamei is a researcher affiliated with the University of Modena and Reggio Emilia in Italy. Their work spans several areas within engineering, computer science, and social sciences, with a particular focus on interdisciplinary applications in digital transformation, human mobility, and industrial domains.

The main fields of study for Marco Mamei include:

  • Engineering
  • Computer Science
  • Social Sciences

Within these broader areas, their research concentrates on several subfields:

  • Transportation
  • Industrial and Manufacturing Engineering
  • Computer Networks and Communications
  • Information Systems
  • Building and Construction

Key topics addressed in their publications are:

  • Digital Transformation in Industry
  • Human Mobility and Location-Based Analysis
  • IoT and Edge/Fog Computing
  • Traffic Prediction and Management Techniques
  • Urban Transport and Accessibility
  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Flexible and Reconfigurable Manufacturing Systems

Marco Mamei has published research in a variety of venues, with frequent contributions to the following journals and conferences:

  • ACM Transactions on Internet of Things
  • Future Generation Computer Systems
  • 2022 IEEE International Smart Cities Conference (ISC2)
  • IEEE Transactions on Industrial Informatics
  • Computers in Industry

Their recent published papers include:

  • Application-Driven Network-Aware Digital Twin Management in Industrial Edge Environments, 2021, IEEE Transactions on Industrial Informatics
  • Requirements and design patterns for adaptive, autonomous, and context-aware digital twins in industry 4.0 digital factories, 2023, Computers in Industry
  • A Flexible and Modular Architecture for Edge Digital Twin: Implementation and Evaluation, 2022, ACM Transactions on Internet of Things
  • WLDT: A general purpose library to build IoT digital twins, 2021, SoftwareX
  • Comparing Deep Learning and Statistical Methods in Forecasting Crowd Distribution from Aggregated Mobile Phone Data, 2020, Applied Sciences

Frequent collaborators in their research work include:

  • Marco Picone
  • Marco Lippi
  • Natalia Selini Hadjidimitriou
  • Paolo Bellavista
  • Carlo Giannelli

Best Publications

  • Programming pervasive and mobile computing applications: The TOTA approach

    Marco Mamei;Franco Zambonelli

  • Case studies for self-organization in computer science

    Marco Mamei;Ronaldo Menezes;Robert Tolksdorf;Franco Zambonelli

  • Programming pervasive and mobile computing applications with the TOTA middleware

    M. Mamei;F. Zambonelli

  • Extracting urban patterns from location-based social networks

    Laura Ferrari;Alberto Rosi;Marco Mamei;Franco Zambonelli

  • Cofields: a physically inspired approach to motion coordination

    M. Mamei;F. Zambonelli;L. Leonardi

  • Social sensors and pervasive services: Approaches and perspectives

    Alberto Rosi;Marco Mamei;Franco Zambonelli;Simon Dobson

  • Field-Based Coordination for Pervasive Multiagent Systems

    Marco Mamei;Franco Zambonelli

  • Co-fields: towards a unifying approach to the engineering of swarm intelligent systems

    Marco Mamei;Franco Zambonelli;Letizia Leonardi

  • Application-Driven Network-Aware Digital Twin Management in Industrial Edge Environments

    Paolo Bellavista;Carlo Giannelli;Marco Mamei;Matteo Mendula

  • Tuples on the air: a middleware for context-aware computing in dynamic networks

    M. Mamei;F. Zambonelli;L. Leonardi

  • A Simple Model and Infrastructure for Context-Aware Browsing of the World

    G. Castelli;A. Rosi;M. Mamei;F. Zambonelli

  • Developing pervasive multi-agent systems with nature-inspired coordination

    Franco Zambonelli;Andrea Omicini;Bernhard Anzengruber;Gabriella Castelli

  • Experiments of morphogenesis in swarms of simple mobile robots

    Marco Mamei;Matteo Vasirani;Franco Zambonelli

  • Pervasive pheromone-based interaction with RFID tags

    Marco Mamei;Franco Zambonelli

  • Self-aware Pervasive Service Ecosystems

    Franco Zambonelli;Gabriella Castelli;Laura Ferrari;Marco Mamei

  • Landslide monitoring with sensor networks: experiences and lessons learnt from a real-world deployment

    Alberto Rosi;Matteo Berti;Nicola Bicocchi;Gabriella Castelli

  • Investigating ride sharing opportunities through mobility data analysis

    Nicola Bicocchi;Marco Mamei

  • Programming stigmergic coordination with the TOTA middleware

    Marco Mamei;Franco Zambonelli

  • Physical deployment of digital pheromones through RFID technology

    M. Mamei;F. Zambonelli

  • Requirements and design patterns for adaptive, autonomous, and context-aware digital twins in industry 4.0 digital factories

    Unknown

  • Emergence and control of macro-spatial structures in perturbed cellular automata, and implications for pervasive computing systems

    M. Mamei;A. Roli;F. Zambonelli

Frequent Co-Authors

Franco Zambonelli
Franco Zambonelli University of Modena and Reggio Emilia
Mirko Viroli
Mirko Viroli University of Bologna
Maurice Mulvenna
Maurice Mulvenna University of Ulster
Bruno Lepri
Bruno Lepri Fondazione Bruno Kessler
Simon Dobson
Simon Dobson University of St Andrews
Andrea Omicini
Andrea Omicini University of Bologna
Chris D. Nugent
Chris D. Nugent University of Ulster
Kevin Curran
Kevin Curran University of Ulster
Radhika Nagpal
Radhika Nagpal Princeton University

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