Mozhgan Kabiri chimeh

Mozhgan Kabiri chimeh

University of Sheffield

Interests

  • Utilizing heterogeneous computing to accelerate scientific applications
  • Performance optimization
  • Performance portability
  • Complex system simulation
  • Promoting diversity in RSE and HPC communities

My work

I am a Research Associate/Research Software Engineer in Massive Scale Complex Systems Simulation with Accelerated Computing at University of Sheffield (Department of Computer Science), UK. I am a full time developer of the FLAME GPU (Flexible Large Scale Agent Based Simulation Framework) software and work with a group of several staff and students on algorithms and modelling using this software.

I am actively involved in delivering tutorials at leading conferences/workshops in the field of HPC and complex system simulation (HPCS, ECAL, ALIFE), GPU training for CUDA, mentoring GPU hackathons and research software consultancy. I have served as the technical program committee member of HPCS conference, Talk and diversity chair of the RSE conference, chair of the ABM conference, session chair for BIBM and RSE conferences, and organizing committee member of WHPC workshop at Supercomputing (SC) and ISC in 2018 and 2019.

As an STEM advocate, I am actively involved in encouraging equality and diversity in HPC and RSE communities.

In my previous appointment as a software developer at the School of Computer Science, University of Glasgow, my role was to accelerate vision algorithm for robots eye making contribution to a multi-disciplinary European project, named CloPeMa(Clothes Perception and Manipulation). During this project, I helped to develop and accelerate stereo matching algorithm utilizing parallel architectures (GPU & Multicore CPU).

My doctoral work at the University of Glasgow involved research in high performance logic gate level circuit simulation targeting modern parallel processors (multicore, GPU & heterogeneous platforms). I developed a software and a parser to address the performance challenges of software simulators by leveraging multi-core and many-core architectures.

Online Presence

My institutional website

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My ORCiD

My Google Scholar

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