World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
9330
World Ranking
7884
National Ranking
202

Overview

Luca Foschini is affiliated with the University of Bologna in Italy and has contributed extensively to the field of Computer Science, particularly focusing on areas related to Computer Networks and Communications, Information Systems, and Artificial Intelligence. The scientist's work spans several specialized subfields including Transportation and Computer Vision and Pattern Recognition.

The research topics covered in Luca Foschini's publications concentrate notably on Internet of Things (IoT) and Edge/Fog Computing, Software-Defined Networks and 5G technologies, Cloud Computing and Resource Management, as well as Human Mobility and Location-Based Analysis. Additional subjects include Digital Transformation in Industry, Blockchain Technology Applications and Security, and Mobile Crowdsensing and Crowdsourcing.

Recent publications demonstrate an active engagement in interdisciplinary collaborations and are published in recognized venues. Selected papers include:

  • Decentralised Learning in Federated Deployment Environments, 2021, ACM Computing Surveys
  • Game Theory in Mobile CrowdSensing: A Comprehensive Survey, 2020, Sensors
  • A Digital Twin Decision Support System for the Urban Facility Management Process, 2021, Sensors
  • Interoperable Blockchains for Highly-Integrated Supply Chains in Collaborative Manufacturing, 2021, Sensors
  • A Pre-Filtering Approach for Incorporating Contextual Information Into Deep Learning Based Recommender Systems, 2020, IEEE Access

Luca Foschini often collaborates with several co-authors who are active in related research fields. Frequent co-authors include Paolo Bellavista, Antonio Corradi, Domenico Scotece, Rebecca Montanari, and Isam Mashhour Al Jawarneh.

The scientist's work is regularly published in venues such as Sensors, arXiv (Cornell University), IEEE Transactions on Network and Service Management, the 2021 IEEE Global Communications Conference (GLOBECOM), and the Journal of Network and Systems Management.

Luca Foschini's expertise is grounded firmly in Computer Science with a total of 136 publications contributing to the domain's knowledge base. The research spans both theoretical and applied dimensions, addressing evolving technological challenges related to network management, distributed systems, and data-driven decision systems.

Best Publications

  • Convergence of MANET and WSN in IoT Urban Scenarios

    Paolo Bellavista;Giuseppe Cardone;Antonio Corradi;Luca Foschini

  • A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities

    Andrea Capponi;Claudio Fiandrino;Burak Kantarci;Luca Foschini

  • A survey of context data distribution for mobile ubiquitous systems

    Paolo Bellavista;Antonio Corradi;Mario Fanelli;Luca Foschini

  • Fostering participaction in smart cities: a geo-social crowdsensing platform

    G. Cardone;L. Foschini;P. Bellavista;A. Corradi

  • VM consolidation: A real case based on OpenStack Cloud

    Antonio Corradi;Mario Fanelli;Luca Foschini

  • Machine intelligence in healthcare-perspectives on trustworthiness, explainability, usability, and transparency.

    Christine M. Cutillo;Karlie R. Sharma;Luca Foschini;Shinjini Kundu

  • A survey on fog computing for the Internet of Things

    Paolo Bellavista;Javier Berrocal;Antonio Corradi;Sajal K. Das

  • A Stable Network-Aware VM Placement for Cloud Systems

    Ofer Biran;Antonio Corradi;Mario Fanelli;Luca Foschini

  • Reproducibility in machine learning for health research: Still a ways to go.

    Matthew B. A. McDermott;Shirly Wang;Shirly Wang;Nikki Marinsek;Rajesh Ranganath

  • DARGOS: A highly adaptable and scalable monitoring architecture for multi-tenant Clouds

    Javier Povedano-Molina;Jose M. Lopez-Vega;Juan M. Lopez-Soler;Antonio Corradi

  • M2M-based metropolitan platform for IMS-enabled road traffic management in IoT

    L. Foschini;T. Taleb;A. Corradi;D. Bottazzi

  • Quantifying User Reputation Scores, Data Trustworthiness, and User Incentives in Mobile Crowd-Sensing

    Maryam Pouryazdan;Burak Kantarci;Tolga Soyata;Luca Foschini

  • The participact mobile crowd sensing living lab: The testbed for smart cities

    Giuseppe Cardone;Andrea Cirri;Antonio Corradi;Luca Foschini

  • On the complexity of time-dependent shortest paths

    Luca Foschini;John Hershberger;Subhash Suri

  • Balanced Partitions of Trees and Applications

    Andreas Emil Feldmann;Luca Foschini

  • Deep learning models for electrocardiograms are susceptible to adversarial attack.

    Xintian Han;Yuxuan Hu;Luca Foschini;Larry Chinitz

  • Developing Measures of Cognitive Impairment in the Real World from Consumer-Grade Multimodal Sensor Streams

    Richard Chen;Filip Jankovic;Nikki Marinsek;Luca Foschini

  • Crowdsensing in Urban Areas for City-Scale Mass Gathering Management: Geofencing and Activity Recognition

    Giuseppe Cardone;Andrea Cirri;Antonio Corradi;Luca Foschini

  • On the Complexity of Time-Dependent Shortest Paths

    Luca Foschini;John Hershberger;Subhash Suri

  • Container Orchestration Engines: A Thorough Functional and Performance Comparison

    Isam Mashhour Al Jawarneh;Paolo Bellavista;Filippo Bosi;Luca Foschini

  • Hyperledger Fabric Blockchain: Chaincode Performance Analysis

    Luca Foschini;Andrea Gavagna;Giuseppe Martuscelli;Rebecca Montanari

  • Efficient Exploitation of Mobile Edge Computing for Virtualized 5G in EPC Architectures

    Eleonora Cau;Marius Corici;Paolo Bellavista;Luca Foschini

Frequent Co-Authors

Antonio Corradi
Antonio Corradi University of Bologna
Paolo Bellavista
Paolo Bellavista University of Bologna
Stefano Chessa
Stefano Chessa University of Pisa
Burak Kantarci
Burak Kantarci University of Ottawa
Azzedine Boukerche
Azzedine Boukerche University of Ottawa
Subhash Suri
Subhash Suri University of California, Santa Barbara
Rajesh Ranganath
Rajesh Ranganath New York University
Hussein T. Mouftah
Hussein T. Mouftah University of Ottawa

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