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- Nato il 3 Settembre 1983 a Firenze
- Laurea Triennale conseguita nell'Aprile 2006 presso l'Università degli Studi di Firenze
- Laurea Magistrale conseguita nell'Ottobre 2008 presso l'Università degli Studi di Firenze
- Dottorato in “Ingegneria Informatica e dell’Automazione” conseguito nell'Aprile 2012 presso l'Università degli Studi di Firenze
- Dal 2012 ad oggi: Ricercatore a Tempo Determinato presso l'Università degli Studi di Firenze
Andrea Ceccarelli è Ricercatore a Tempo Determinato di Informatica presso l'Università degli Studi di Firenze.
Ha conseguito la Laurea Triennale e Magistrale in Informativa all'Università degli Studi di Firenze rispettivamente nel 2006 e 2008. Nel 2012 ha conseguito il Dottorato in Ingegneria Informatica e dell'Automazione presso l'Università degli Studi di Firenze, affrontando tematiche relative alla progettazione e alla validazione sperimentale di sistemi critici, in differenti campi applicativi.
E' stato coinvolto nei progetti Europei FP7-PEOPLE-2012-IAPP CECRIS, FP7-PEOPLE-2013-IRSES DEVASSES, FP7-ICT-2013-10 AMADEOS, JPI URBAN EUROPE IRENE, IST-FP6-26979 HIDENETS, FP6-IST-031413 SAFEDMI, FP7-IST-234088 ALARP, IST-FP7-216295 AMBER, nei progetti Nazionali PRIN TENACE, PRIN DOTS-LCCI, e nei progetti Regionali POR CREO SILFI, POR-CREO 2007-2013 SECURE!, FAR-FAS 2014 TOSCA-FI and POR FESR 2014-2020 SISTER. Attualmente, è coinvolto nel progetto Europeo H2020-MSCA-RISE ADVANCE.
E' stato visiting researcher presso l'azienda Critical Software SA (Portogallo, 2013), la Universidade Federal de Alagoas (Brasile, 2014, 2016, 2017), Universidade Estadual de Campinas (Brasile, 2015, 2019), e visiting student presso l'Università di Coimbra (Portogallo, 2010 e 2011).
Andrea Ceccarelli è autore e co-autore di oltre 100 lavori tra conferenze Internazionali, workshop, capitoli di libro e riviste. È membro di comitati di svariati programma di conferenze e workshop Internazionali, ed è stato Program Co-Chair di IEEE SRDS 2017, LADC 2018, co-chair dei Workshop RADIANCE @ DSN 2015, RADIANCE @ DSN 2016, RADIANCE @ DSN 2017, IRENE Workshop on Tools for Smart Grid Design and Assessment” @ SmartGift 2017, IRENE: resilient and secure urban power systems@ISC2 2016, poster chair di EDCC 2019, ed è membro dello steering committee di LADC.
E' coinvolto nello ex-spinoff accademico Resiltech S.r.l., di cui ha contribuito al riconoscimento come spin-off accademico nel 2012. Ha svolto il ruolo di esperto per la revisione di proposte di progetto per la Commissione Europea (2014, 2016, 2017, 2018, 2019) e per il framework Eureka (2019).
Maggiori informazioni si trovano alla pagina personale su http://rcl.dsi.unifi.it/people/ceccarelli e nella versione inglese del curriculum.
I miei principali interessi di ricerca sono nel campo della progettazione e validazione di sistemi sicuri e affidabili. Alcuni degli argomenti che ho affrontato di recente, o su cui mi sto concentrando in questo periodo, sono:
1- Analisi di sicurezza di applicazioni basate su machine learning e intelligenza artificiale, con particolare attenzione al contesto di autonomous driving, e con il supporto di simulatori di guida autonoma.
2- Progettazione e analisi di soluzioni di anomaly detection (identificazione di anomalie), per la costruzione di sistemi di intrusion detection (per l' identificazione di tentativi di intrusioni) o per la rilevazione di fallimenti.
3- Definizione del modello di guasto di GPU, e di possibili soluzioni per la tolleranza ai guasti.
4 - Progettazione e validazione sperimentale (testing) di sistemi embedded, mediante l'applicazione di processi e pratiche secondo gli standard richiesti, con particolare attenzione al dominio ferroviario e automotive.
Web page: http://rcl.dsi.unifi.it/people/ceccarelli
Profilo su Google scholar: https://scholar.google.com/citations?user=at4lYagAAAAJ&hl=it&oi=ao
Legenda
- Date of birth: 3 September 1983
- Bachelor Degree in Computer Science: April 2006, Università degli Studi di Firenze
- Master Degree in Computer Science: October 2008, Università degli Studi di Firenze
- PhD in "Informatics and Automation Engineering”: April 2012, Università degli Studi di Firenze
- (Starting 2012 onwards) Research Associate, Università degli Studi di Firenze
Andrea Ceccarelli is a Tenure-Track Assistant Professor (Italian RTDb) in Computer Science at the Department of Mathematics and Informatics of the University of Florence (Italy), where he also received the Master degree (cum laude) in 2008, and the PhD in Informatics and Automation Engineering in 2012.
RESEARCH INTERESTS
Andrea Ceccarelli has more than 10 years of experience in the design and assessment of dependable and secure systems and System-of-Systems, with a preference for experimental approaches. In the recent period, he started investigating security and safety of AI systems, with a focus on the analysis of their behavior when subject to anomalous inputs, and the consequent definition of countermeasures.
ACADEMIC SERVICES
Andrea Ceccarelli was TPC co-Chair of the Conferences SRDS 2017 (International Symposium on Reliable Distributed Systems), and LADC 2018 (Latin-America Symposium on Dependable Computing). Further, he co-organized five different workshops:
- Three editions of the Workshop RADIANCE (International Workshop on Recent Advances in the DependabIlity AssessmeNt of Complex systEms) held jointly with the conference DSN 2015, DSN 2016, DSN 2017- IRENE Workshop on “Resilient and secure urban power systems”, held jointly with the IEEE Second International Smart Cities Conference (ISC2), 2016.- IRENE Workshop on “Tools for Smart Grid Design and Assessment” held jointly with the conference SmartGift 2017.
Also, he held the roles of Poster Chair at EDCC 2019, Publication Chair at SRDS 2016 and SAFECOMP 2014, and he is a Steering Committee member of LADC.
He is regularly involved in the Program Committee of Conferences and Workshops: overall, he has been member of above 60 TPCs of conferences and workshops, including venues as IEEE/IFIP DSN, IEEE SRDS, IEEE ISSRE, IEEE NCA, SoSE, IBM ICACON.
Amongst speaking activities, he was invited speaker at:- Fault Tolerance Workshop, held at SBRC (Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos), 2020. Talk Title: On failures of RGB cameras and their effects in autonomous driving applications- "LCIS Scientific Day" at LCIS- Grenoble INP (Valence, France, 2019). Talk title: On conceptualizing, modeling and engineering evolutionary time-aware Cyber-Physical Systems of Systems- IFIP Working Group 10.4 on Dependable Computing and Fault Tolerance, Workshop on "Security Assessment: Metrics and Methods" 2014, Sorrento, Italy. Talk title: Design and Security Assessment of a Protocol for Continuous User Identity Verification.
He was panelist at:- IEEE 14th International Symposium on High-Assurance Systems Engineering (HASE) 2012, panel title: "The Fundamentals of Establishing Successful Public and Private Sector Partnerships with Academia"- 36th International Symposium on Reliable Distributed Systems” (SRDS) 2017, panel title: “Reliability and Security in the era of Big Data and IoT”
Other relevant activities as speaker are:
- Tutorial at DSN 2020, with title “Into the Unknown: Unsupervised Machine Learning Algorithms for Anomaly-Based Intrusion Detection”.- Invited Seminar at the University of Reggio Calabria, talk title “Introduction to dependable systems: fundamentals and applications”, 2020- Invited Seminar on Open-Source Intelligence (OSINT) at the Scuola marescialli e brigadieri dei carabinieri, Florence, 2020- Lecture on "C programming" and on "Attacks" at the Tuscanian team of the Cyberchallenge.it, in 2020 and 2019- Talk at the Winter school Secure CI-Securing Critical Infrastructures in 2016, Talk title: Biometric authentication for secure and trusted services- Talk at the “Computer forensics e data analysis” workshop (in Italian), Comando Regionale Toscana della Guardia di Finanza (Italian Finance Police), 2017. Talk title: The Internet of Things (IoT) and its security issues.
Further, he participated as guest editor to two special issues (for the Journal of Electrical and Computer Engineering, and Journal of the Brazilian Computer Society) and he was reviewer of the PhD thesis of M. Raga, University of Valencia.
ROLE AND PARTICIPATION IN RESEARCH PROJECTS
Andrea Ceccarelli participated to multiple projects, with different roles and responsibilities, as reported below.
Responsible for the unit "Dept. of Math. and Informatics" for the project MineHep: data mining in High Energy Physics (2018-2019). Project sponsored by the University of Florence for young researchers.
Technical coordinator of the unit in:- Regional Project POR-CREO 2007-2013 Bando unico R&S Anno 2012 SECURE! - Smart platform based on crowdsourcing and crowdsensing technologies for safety and for the management of crisis and emergencies (2013-2015)- JPI Urban Europe 4211064 IRENE - Improving the Robustness of Urban Electricity Networks, 2014-2017
Work Package Leader in:- H2020-MSCA-RISE ADVANCE - Addressing Verification and Validation Challenges in Future Cyber-Physical Systems, 2019-ongoing- FP7-PEOPLE-2013-IRSES DEVASSES - DEsign, Verification and VAlidation of large scale, dynamic Service SystEmS, 2014-2017- FP7-ICT-2013-10 AMADEOS Architecture for Multi-criticality Agile Dependable Evolutionary Open System-of Systems, 2013-2016
Past involvement in projects: European projects FP7-PEOPLE-2012-IAPP CECRIS, IST-FP6-26979 HIDENETS, FP6-IST-031413 SAFEDMI, FP7-IST-234088 ALARP, IST-FP7-216295 AMBER, National projects PRIN TENACE, PRIN DOTS-LCCI, Regional project POR CREO SILFI, FESR 2014-2020 SISTER, PAR FAS 2007-2013 TOSCA-FI.
TECHNOLOGY TRANSFER AND PROJECTS WITH INDUSTRIES
Starting 2009, Andrea Ceccarelli is a partner of the company Resiltech SRL, which has been Academic Spinoff of the University of Florence. Resiltech operates in the area of design, Verification, Validation and assessment of critical systems, with main focus in the automotive, railway and industrial automation domain. It counts approximately 35 full time employees and four premises inItaly.
He served as expert for the evaluation of H2020 project proposals for the European Commission (2014, 2016, 2017, 2018, 2019, 2020), and for the evaluation of project proposals for the Eureka network (2019, 2020).
He participated to initiatives in cooperation with industries and carried out at the University of Florence:2019—ongoing: cooperation with Rete Ferroviaria Italiana (RFI)2017: course to Rete Ferroviaria Italiana, for a module 20 hours on Critical Systems2006-2007: cooperation with SELEX-OTE2006: cooperation with Ansaldo STS
He is co-Inventor of the Italian Patent: Brevetto italiano 102015000072477, Methods and apparatus for resilient time signalling (N.PCT/IB2016/056768).
Last, he has been teaching a course to Rete Ferroviaria Italiana, for a module 20 hours on Critical Systems, 2017
VISITING POSITIONS
Andrea Ceccarelli has been visiting researcher at:2019 (three weeks), 2015 (two months): Universidade Estadual de Campinas (San Paolo, Brasil)2017 (three weeks), 2016 (1 month), 2014 (two months): Universidade Federal de Alagoas (Alagoas, Brasil)2013 (four months): Critical Software S.A., Coimbra, Portugal2010-2011 (three months, Visiting Student during PhD): University of Coimbra, Coimbra, Portugal
MAIN NATIONAL AND INTERNATIONAL ACKNOWLEDGMENTS
2020- Best Research Paper Nominees at ISSRE 20202019- Best Experience Report paper at LADC 20192017 - National Scientific Habilitation (ASN) as Associate professor (II rank) in Computer Science (01/B1)2017 - MIUR FFABR - Fondo per il finanziamento delle attività base di ricerca (Legge di Bilancio 2017)
RESEARCH GROUP AFFILIATION: RESILIENT COMPUTING LAB (RCL)
Andrea Ceccarelli is a member of the RCL group at the University of Florence. RCL researches dependable architectures and systems, on two macro areas:(1) Architectures and Techniques for Critical Systems, and Systems of Systems, Infrastructures and Networks.(2) Validation and Assessment of systems dependability, resilience, safety, trust and QoS through analytical, simulative and experimental techniques.
See the personal page: http://rcl.dsi.unifi.it/member/show/2-2
My main research interests span on the broad topics of the design and assessment of safe, secure and resilient systems. Some research activities that I am facing in the recent period are:
1- Study and evaluation of the impact of Machine Learning and Artificial Intelligence in safety-critical systems, and especially in autonomous driving systems and applications. For such studies, I am recently relying on the support of simulators for autonomous driving.
2- Definition, implementation and evaluation of anomaly detection solutions for secure and dependable system. Anomalies are deviations from the expected behaviours. They can be useful for the timely identification of attacks and failures: for example, they are exploited to build intrusion detection systems.
3- Analysis of GPU fault modes and of possible fault-tolerant approaches.
4- Design and evaluation (and especially experimental evaluation, i.e., testing) of embedded systems, in compliance with the requirements of safety standards, with a specific attention to the railway and automotive domains.
My profile on Google scholar: https://scholar.google.com/citations?user=at4lYagAAAAJ&hl=it&oi=ao
