Tommaso Zoppi

Position: Research Associates Zoppi, Tommaso
Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it
Phone or fax: +39 055 2751483
Location: Firenze

Tommaso Zoppi is currently a Post-Doc at UNIFI, RCL Group.

He received his Bachelor and Master degree in Computer Science from the University of Firenze, Italy, in October 2012 and July 2014, respectively. From November 2014 to November 2017 he was a PhD student at the Matematics, Computer Science, Statistics course (curriculum: Computer Science) at the same university, under the supervision of Prof. Andrea Bondavalli. 

From January 2014 to March 2015 he was owner of a Co.Co.Co employment aimed at finding efficient solution for software anomaly detection (within the dependability context).

Since March 2015, he is a tutor at the same university for the bachelor course in Informatic Science. A tutor contributes to support first-year students helping them in the studies' organization and simplifying the relationships between students and professors.

Despite his main research efforts are directed to the study of software anomalies, during the PhD he is also deepening:

  • cyber-security analysis of smart grids
  • anomaly-based intrusion detection
  • support to smart city planners
  • crisis management systems  


Dipartimento di Matematica e Informatica (DiMaI), Room T19 (Stanza Dottorandi)

Viale Morgagni, 65 - 50134 - Firenze Italy

CV Almalaurea

Recent Publications

  • Journal T. Zoppi, A. Ceccarelli and A. Bondavalli. "MADneSs: a Multi-layer Anomaly Detection Framework for Complex Dynamic Systems", IEEE Transactions on Dependable and Secure computing. 2019. [More] 
  • Conference . Falcao et al.. "Quantitative comparison of unsupervised anomaly detection algorithms for intrusion detection". Symposium on Applied Computing (SAC19) - DADS Track. 2019. [More] 
  • Conference T. Zoppi, A. Ceccarelli and A. Bondavalli. "An Initial Investigation on Sliding Windows for Anomaly-Based Intrusion Detection". IEEE World Congress on Services. C. C. K. et al eds. 2019. [More] 
  • Journal T. Zoppi et al. "Labelling relevant events to support the crisis management operator", Journal of Software: Evolution and Process. 2018. [More] 
  • Conference T. Zoppi, A. Ceccarelli and A. Bondavalli. "On algorithms selection for unsupervised anomaly detection". Pacific Rimm Dependable computing Conference (PRDC18). 2018. [More] 

Resilient Computing Lab, 2011

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