Peterson Yuhala

PostDoc | UBC

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347-2366 Main Mall

Office: 347

Vancouver, V6T 1Z4

CV · PhD Thesis

Hi there! Thanks for taking the time to visit. I am currently a postdoctoral fellow at the Systopia Lab at UBC, Vancouver.

I am interested in making systems more secure while maintaining high performance. My research primarily explores hardware-based security mechanisms, such as trusted execution environments (TEEs), that enable secure processing of plaintext data, while also investigating cryptographic approaches, such as homomorphic encryption (HE) and multi-party computation (MPC), that enable computation on encrypted data. I leverage both hardware- (such as in-memory processing) and software-based techniques to improve the performance, scalability, and practicality of these security solutions.

Prior to UBC, I was a postdoctoral researcher at the University of Neuchâtel (UniNE), Switzerland, where I equally completed my PhD in Computer Science on Enhancing Security and Performance in Trusted Execution Environments in February 2024, under the supervision of Prof. Pascal Felber, Dr. Valerio Schiavoni, and Prof. Alain Tchana.

In my free time I am an electronics hobbyist who loves tinkering with microcontrollers to build interesting automation projects or a tech tinkerer experimenting with the latest AI tools. When I’ve got a bit more breathing room, I dive into Kali Linux and explore the art of ethical hacking. I also manage The Tech Hub, a programming and technology blog.

news

selected publications

  1. PIM-CACHE: High-Efficiency Content-Aware Copy for Processing-In-Memory
    Peterson Yuhala, Mpoki Mwaisela, Pascal Felber, and 1 more author
    2026
  2. IM-PIR: In-Memory Private Information Retrieval
    Mpoki Mwaisela, Peterson Yuhala, Pascal Felber, and 1 more author
    2025
  3. SecV: Secure Code Partitioning via Multi-Language Secure Values
    Peterson Yuhala, Pascal Felber, Hugo Guiroux, and 4 more authors
    2023
  4. DSN
    SGX Switchless Calls Made Configless
    Peterson Yuhala, Michael Paper, Timothée Zerbib, and 3 more authors
    2023
  5. DSN
    Plinius: Secure and Persistent Machine Learning Model Training
    Peterson Yuhala, Pascal Felber, Valerio Schiavoni, and 1 more author
    2021
  6. Montsalvat: Intel SGX shielding for GraalVM native images
    Peterson Yuhala, Jämes Ménétrey, Pascal Felber, and 5 more authors
    2021
  7. VEE
    (No)Compromis: paging virtualization is not a fatality
    Boris Teabe, Peterson Yuhala, Alain Tchana, and 3 more authors
    2021