I am a first year PhD student at the Large-Scale Data and Systems Group (LSDS) of the Imperial College London, under the supervision of Prof. Peter Pietzuch.

My research addresses the design and implementation of secure, high-performance, cloud-native runtimes. I am also interested in stochastic modeling, and the mathematics of randomness. Most of my work is open-source and available on Github.

I received a MSc in advanced mathematics and mathematical engineering from the School of Mathematics of the Technical University of Catalonia (UPC). Previously, I also received a BSc in mathematics and a BSc in electrical engineering, from the same university.


  1. C. Segarra, R. Delgado-Gonzalo, and V. Schiavoni (2020) MQT-TZ: Hardening IoT Brokers Using ARM TrustZone. SRDS 2020. Shangai, China. September 21-24 2020.
    [DOI | arXiv | Cite | PDF]
  2. P. Gouveia, J. Neves, C. Segarra, L. Liechti, S. Issa, V. Schiavoni, and M. Matos (2020) Kollaps: Decentralized and Dynamic Topology Emulation. EuroSys 2020. Crete, Greece. April 27-30 2020.
    [DOI | arXiv | Cite | PDF]
  3. C. Segarra, R. Delgado-Gonzalo, and V. Schiavoni (2019) “MQT-TZ: Secure MQTT Broker for Biomedical Signal Processing on the Edge”. MIE 2020, Geneva, Switzerland. May 19-20, 2020.
    [DOI | arXiv | Cite | PDF]
  4. C. Segarra, E. Muntan'e, M. Lemay, V. Schiavoni, and R. Delgado-Gonzalo (2019) Secure Stream Processing for Medical Data. IEEE EMBC 2019.
    [DOI | arXiv | Cite | PDF]
  5. C. Segarra, R. Delgado-Gonzalo, M. Lemay, P-L. Aublin, P. Pietzuch, and V. Schiavoni (2019) Using Trusted Execution Environments for Secure Stream Processing of Medical Data. In: Pereira J., Ricci L. (eds) Distributed Applications and Interoperable Systems. DAIS 2019. Lecture Notes in Computer Science, vol 11534.
    [DOI | arXiv | Cite | PDF]


Work Experience

Last update: 24/06/2021