Augusta Mukam

Augusta Mukam

I am a third year PhD researcher at University of Bordeaux, Labri, Progress Team

About me

I am passionate about systems programming, cloud computing, and distributed systems. I am also interested in machine learning and security fields. I have completed internships and projects in several of these areas.

I hold an Engineering degree in Computer Science from ENSPY (Yaoundé, Cameroon), and a Master’s degree in Cloud and Distributed Systems from Grenoble INP, ENSIMAG (Grenoble, France).

Currently, I am completing my PhD in cloud computing applied to blockchain technology within the Progress team at the University of Bordeaux (France). My research focuses on two main topics: enhancing the Byzantine fault tolerance of peer sampling protocols in blockchain systems, and real-time frequency estimation of elements in adversarial memory-constrained environments.

Recent Achievements

Best Paper Award - NCA 2024 (Bertinoro, Italy) Our paper “AUPE: Collaborative Byzantine fault-tolerant peer-sampling” received the Best Paper Award at the 22nd International Symposium on Network Computing and Applications. This work demonstrates a 60% increase in fault tolerance compared to existing protocols, maintaining robust operation even when adversaries control up to 40% of system nodes.

Research Impact

My doctoral research has produced Byzantine fault-tolerant peer sampling protocols that significantly improve the resilience of distributed systems. Key contributions include:

  • Enhanced Security: Collaborative protocol using SGX-enabled devices for trusted execution environments
  • Superior Resilience: Near-perfect fault tolerance even with 26% malicious nodes
  • Scalability: Hash-based techniques for efficient tracking with minimal memory overhead
  • Real-world Applications: Applicable to blockchain networks, decentralized computing, and large-scale distributed systems

News

Seeking Opportunities: I will complete my PhD in December 2025 and am currently seeking researcher positions in industry or academia, in the fields of systems, networks, or artificial intelligence.

Recent Service:

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