Michael Sirivianos is an Assistant Professor of Computer Engineering and Informatics. He researches ways to help social media users tell lies apart.
He holds a PhD from Duke University since 2010. His research interests include trust-aware design of distributed systems, device-centric authentication, federated identity management, discrimination based on personal data, cybersafety (cyberbullying detection, cybergrooming detection, characterization and detection of hate speech, detection of inappropriate videos targeting young children, and characterization and suppression of false information), transactional workload scalability, and measurement of blockchain systems.

He has published articles in the most influential conferences and journals of Networked Systems, including ACM SIGCOMM, USENIX NSDI, ACM IMC, USENIX ATC, AAAI ICWSM, IEEE INFOCOM, IEEE ICDCS, IEEE/ACM Transactions on Networking, and ACM Transactions on the Web.

He has extensive experience leading EU-funded projects. Specifically, he was the technical manager of the ReCRED project (Horizon 2020 Innovation Action - 2014) and the coordinator of the ENCASE project (Horizon 2020 Marie Curie RISE - 2015). His work on fringe web communities, hate speech, disinformation and disturbing content on YouTube had extensive coverage in major news outlets, including The New York Times, Washington Post, The Atlantic, New Scientist, Business Insider, Quartz, Wired, and El Pais.

He is also the co-director of the Network Systems and Science Research Laboratoryand a member of the Board of Directors of the CYENS Centre of Excellence.