EPCC PhD student poster presentations

28 March 2025

This month we invited our PhD students to present their work to EPCC staff. 

As the list below demonstrates, a wide variety of interesting projects were presented. To read about the students' work in depth, see the PhD student profiles on our Training and Education site.

It’s fascinating to see the wide range of research topics presented—there’s so much potential for collaboration with fellow students who bring different skill sets to the table. I also find it incredibly motivating when others show interest in my research. The lightning talks were my favourite part; they felt like delightful “starters” before the main feast.

Lilin Yu PhD candidate, EPCC
Felicity Anderson PhD student

The presentations

Jakub Adamski

The Internals of a Distributed Tensor Network Library.

Felicity Anderson 

Who Do You Think You Are? Identifying Research Software Engineering Personas From Developer/Repository Interaction Data (shown above).

Andrew Boyd

Chaotic Behaviour of Multiple Immersed Ellipsoids.

Jake Davies

Performance portability for RISC-V accelerators.

Ananya Gangopadhyay

Ananya Gangopadhyay

Avoiding dynamic load balancing in meshing workflows by re-using prior partitioning (shown above).

Mark Klaisoongnoen

Streaming financial option Greeks on Xilinx and Intel FPGAs​.

David Kacs PhD student

David Katz

From LLM to LLVM: An MLIR based stencil compiler for the Cerebras CS-2 (shown above).

Hovhannes Minasyan PhD student

Hovhannes Minasyan

ARCHER2 Workload Trends: VASP Case Study (shown above).

Xingran Ruan

Xingran Ruan

Nurturing Self-aware Learning through Facial Expression Interpretation (shown above).

Chao Tang

HyperAIRI: Physic-informed Plug-and-Play algorithm for precise Hyperspectral Radio Interferometric Imaging.

Weiyu Tu

Weiyu Tu

Research on Microbenchmarking of Accelerator Offloading (shown above).

Damon Yu

Frances: AI-driven Web Platform for Analyzing Digitized Historical Collections.

Kejia Zhang PhD student

Kejia Zhang 

Learn Through Stories: Generating Educational Math Stories for Children using Generative AI (shown above).

 

Author

Dr Nick Brown
Nick Brown