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Claudio Ardagna
PeerJ Editor
1,305 Points

Contributions by role

Editor 1,305

Contributions by subject area

Network Science and Online Social Networks
Security and Privacy
Data Mining and Machine Learning
Data Science
Artificial Intelligence
Computer Vision
Algorithms and Analysis of Algorithms
Spatial and Geographic Information Systems
Neural Networks
Databases
Software Engineering
Blockchain
Computer Networks and Communications
Emerging Technologies
Text Mining
Distributed and Parallel Computing
Mobile and Ubiquitous Computing
Internet of Things

Claudio A Ardagna

PeerJ Editor

Summary

Claudio A. Ardagna is a Full Professor and Vice Director of the Data Science Research Center at Università degli Studi di Milano. He has been visiting scholar at George Mason University, Fairfax, VA, USA and at Khalifa University, Abu Dhabi, UAE. His areas of interest include Big Data Analytics-as-a-Service, Edge/Cloud security and performance, security assurance and certification of distributed and cyber-physical systems, machine learning model verification. In these areas, he published more than 30 journal papers, 100 book chapters and refereed articles in proceedings of international conferences, and 10 books as an author or editor. He is co-author of the book “Open Source Systems Security Certifications” (with E. Damiani, N. El Ioini, Springer, 2008), co-inventor of the European Patent titled “Method, System, Network and Computer Program Product for Positioning in a Mobile Communications Network”, and co-founder of Moon Cloud (www.moon-cloud.eu), a spin-off of the Università degli Studi di Milano. He is an IEEE Senior Member, has been a recipient of International Federation for Information Processing (IFIP) Silver Core Award “in recognition of outstanding services to IFIP” in 2013, and has been recipient of the ERCIM (European Research Consortium for Informatics and Mathematics) WG STM 2009 Award for the Best Ph.D. Thesis on Security and Trust Management.

Computer Networks & Communications Data Mining & Machine Learning Distributed & Parallel Computing Security & Privacy World Wide Web & Web Science

Section Editor

Data Handling and Mining

Editorial Board Member

PeerJ Computer Science

Work details

Full Professor

Università degli Studi di Milano
Department of Computer Science

Websites

  • Google Scholar
  • LinkedIn

PeerJ Contributions

  • Edited 10

Academic Editor on

August 8, 2025
Federated learning for digital twin applications: a privacy-preserving and low-latency approach
Jie Li, Dong Wang
https://doi.org/10.7717/peerj-cs.2877
July 10, 2025
Comprehensive review of dimensionality reduction algorithms: challenges, limitations, and innovative solutions
Aasim Ayaz Wani
https://doi.org/10.7717/peerj-cs.3025
November 26, 2024
An optimized ensemble model with advanced feature selection for network intrusion detection
Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya
https://doi.org/10.7717/peerj-cs.2472
November 25, 2024
A novel deep learning model for predicting marine pollution for sustainable ocean management
Michael Onyema Edeh, Surjeet Dalal, Musaed Alhussein, Khursheed Aurangzeb, Bijeta Seth, Kuldeep Kumar
https://doi.org/10.7717/peerj-cs.2482
October 18, 2024
An AutoEncoder enhanced light gradient boosting machine method for credit card fraud detection
Lianhong Ding, Luqi Liu, Yangchuan Wang, Peng Shi, Jianye Yu
https://doi.org/10.7717/peerj-cs.2323
September 30, 2024
Fairness-enhancing classification methods for non-binary sensitive features—How to fairly detect leakages in water distribution systems
Janine Strotherm, Inaam Ashraf, Barbara Hammer
https://doi.org/10.7717/peerj-cs.2317
April 22, 2024
Systematic review of predictive maintenance and digital twin technologies challenges, opportunities, and best practices
Nur Haninie Abd Wahab, Khairunnisa Hasikin, Khin Wee Lai, Kaijian Xia, Lulu Bei, Kai Huang, Xiang Wu
https://doi.org/10.7717/peerj-cs.1943
August 16, 2023
Knowledge graph augmentation: consistency, immutability, reliability, and context
Savaş Takan
https://doi.org/10.7717/peerj-cs.1542
May 3, 2023
The critical node detection problem in hypergraphs using weighted node degree centrality
Tamás-Zsolt Képes
https://doi.org/10.7717/peerj-cs.1351
July 5, 2021
Provenance-and machine learning-based recommendation of parameter values in scientific workflows
Daniel Silva Junior, Esther Pacitti, Aline Paes, Daniel de Oliveira
https://doi.org/10.7717/peerj-cs.606