Juan Fumero Alfonso

Dr. Juan Fumero Alfonso is a Researcher at the University of Manchester, specializing in high-performance computing and hardware acceleration. He holds a PhD from the University of Edinburgh where he researched GPU acceleration of interpreted programming languages through JIT and runtime optimizations (2013-2017).

His research focuses on:

• Developing runtime systems for heterogeneous hardware (GPUs, accelerators)
• Optimizing virtual machines and managed languages (Java)
• Advancing hardware abstraction through frameworks like TornadoVM
• Exploring cryptographic acceleration and privacy-preserving computation

His 23+ publications demonstrate consistent focus on GPU programming, runtime optimization, and hardware abstraction, with recent work exploring RISC-V vectorization and fully homomorphic encryption acceleration.

Awards:

• Best Outstanding Output by Research Staff Award 2022 (University of Manchester)

Dr. Fumero contributes to academic communities as an expert member of oneAPI Language/Hardware SIGs, co-chaired the ACM SIGPLAN Dynamic Languages Symposium (2019), and develops the RISC-V ecosystem. He maintains active collaborations across Europe in computer systems research.