Distributed (Algorithms)

Product-form estimators

Exploiting independence to scale up Monte Carlo

J. Kuntz, F. R. Crucinio, and A. M. Johansen. Product-form estimators: exploiting independence to scale up Monte Carlo. Statistics and Computing, 32(12):1–22, 2022.

Supporting Pangeo: the community-driven platform for Big Data geoscience

Aligning efforts with the environmental data science community, the Met Office and Microsoft to support Pangeo, the growing international platform for Big Data geoscience

Trustworthy digital infrastructure for identity systems

Enhancing the privacy and security of national digital identity systems

Product-form estimators

Exploiting independence to scale up Monte Carlo

Turing Lecture: Building dynamic robots

Reliability and reproducibility in computational science

Machine learning for radio frequency applications

How do we generate robust, real-time machine learning algorithms with integrated hardware and software for radio frequency applications?

Multi-agent systems

How can research in multi-agent systems help us to address challenging real-world problems?

Andrei-Leonard Nicusan

Lorenzo Rimella

Dr Kirstie Whitaker

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