I am a PhD candidate at the Large-Scale Data & Systems Group from the Imperial College London under the supervision of Peter Pietzuch. My research interests cover systems, security, containers, and virtualization.


About Me

My main research interests lie in the broad area of (distributed) systems, virtualization, and security, with a strong mathematical foundation. As part of my PhD, I am working on high-performant serverless runtimes using WebAssembly for execution isolation in the context of Faasm. Current lines of work involve achieving high performance with stateful serverless workloads, efficient and infrastructure aware scheduling, and putting Intel SGX in the mix. All my work is open-source and accessible through my Github.

Publications

  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]

Education

Work Experience


Last update: 09/09/2020