Andrea Augello

Università degli Studi di Palermo, Department of Engineering, Italy

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I am an Assistant Professor (RTD-A) in the Department of Engineering at the University of Palermo, Italy. Currently, I am a member of the Networking and Distributed Systems research group.

I got my Bachelor’s, Master’s, and Ph.D. degrees in Computer Engineering in 2019, 2021, and 2025, respectively, and in 2023 I have been a visiting researcher under the guidance of Prof. Sajal K. Das in Computer Science at the Missouri University of Science and Technology, Rolla, United States.

My research interests lie at the intersection of cybersecurity, distributed systems, and artificial intelligence. I focus extensively on machine learning applications in decentralized environments, concentrating on topics such as IoT intrusion detection systems, privacy-preserving federated learning, and mobile malware mitigation under concept drift.

For more information on my research, please read the publications page, where you can find a comprehensive list of my research papers and articles, and the projects page, where you can find more details about my ongoing and completed research projects.

On top of research, I am also passionate about teaching and mentoring students. By visiting the teaching page, you can find information about the courses I have taught and the master’s thesis I have supervised.

news

Aug 08, 2026 My paper titled “Towards Neuro-Symbolic Federated Tree Learning” has been published in the proceedings of the 12th International Conference on Control, Decision and Information Technologies (CoDIT 2026) :sparkles:
Aug 01, 2026 My paper titled “Resource-Aware Federated Learning for Malware Detection on Smart Devices” has been published in the proceedings of the 2026 IEEE SMARTCOMP - International Conference on Smart Computing :sparkles:
Jul 31, 2026 AI-SEC 2027 - Third workshop edition

selected publications

  1. Towards Neuro-Symbolic Federated Tree Learning
    Andrea Augello, Stefano Merendino, Alessandra De Paola, and 1 more author
    In 2026 12th International Conference on Control, Decision and Information Technologies (CoDIT), 2026
  2. FairRFL: Fair and Robust Federated Learning in the Presence of Selfish Clients
    Andrea Augello, Ashish Gupta, Giuseppe Lo Re, and 1 more author
    IEEE Transactions on Emerging Topics in Computing, 2026
  3. Hybrid Multilevel Detection of Mobile Devices Malware Under Concept Drift
    Andrea Augello, Alessandra De Paola, and Giuseppe Lo Re
    Journal of Network and Systems Management, Feb 2025
  4. M2FD: Mobile malware federated detection under concept drift
    Andrea Augello, Alessandra De Paola, and Giuseppe Lo Re
    Computers & Security, 2025