Ayesha Afzal

Ayesha Afzal

Short Bio

Ayesha Afzal is a researcher at the Erlangen National High Performance Computing Center (NHR@FAU) in Germany. She holds a master’s degree in computational engineering from Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany, and a bachelor’s degree in electrical engineering from the University of Engineering and Technology, Lahore, Pakistan. Her PhD research lies at the crossroads of analytic performance models, performance tools, and parallel simulation frameworks, with a focus on first-principles performance modeling of distributed-memory parallel programs in HPC. She also conducts research in multi-core and parallel architectures, parallel computing and algorithms, parallel programming models, and domain-specific languages. She is actively involved in HPC initiatives such as KONWHIR with the Leibniz Supercomputing Centre (LRZ) on performance optimization, and NHR’s EEC project on enhancing energy efficiency and managing operational costs across NHR centers.

Ayesha contributes to the HPC community through various leadership roles. At the IEEE Computer Society, she serves as vice chair of both the Germany Section Chapter and Region 8 Area 2. She is the founder of the NHR Women in HPC chapter, organizes workshops such as EESP at ISC, PERMAVOST at ACM HPDC, and EE HPC SOP at SCA/HPCAsia, and regularly contributes to scientific community events as a chair, vice chair, program committee member, journal reviewer, panelist, and speaker. She has authored numerous peer-reviewed publications, and her work has earned several honors, including the ISC PhD Forum Award (1st place, 2021), IEEE TPDS Best Paper Runner-up Award (2023), SC PMBS Best Short Paper Award (2023), SC Best Research Poster Finalist (2024), and ISC Best Research Poster Award (1st place, 2025). She was named to the Top 100 Future Leaders Role Model List (2022–2025), supported by Yahoo Finance and YouTube, and won WeAreTheCity’s Global Award for Achievement (2023).

  • Oct 2023 – Present: Institute of Electrical and Electronics Engineers (IEEE)
  • Oct 2023 – Present: IEEE Computer Society (IEEE CS)
  • Oct 2023 – Present: IEEE Women in Engineering (IEEE-WIE)
  • Jul 2022 – Present: Association for Computing Machinery (ACM)
  • Jul 2022 – Present: ACM’s Women in Computing (ACM-W)
  • Nov 2021 – Present: Computer Science Teachers Association (CSTA)
  • Aug 2019 – Present: Women in High Performance Computing (WHPC)

2025

  • Bachelor Thesis – Markus Manfred Li: Energy Consumption of Modern CPUs and GPUs: A Study with Production Applications (ongoing)
  • Bachelor Thesis – Onur Karaca: Implementation and Benchmarking of MPI Collectives in a Parallel Simulator Framework
  • Master Thesis – Jean-Yves Verhaeghe: Exploring Advanced Visualization of MPI-Parallel Programs
  • Master Thesis – Krishna Sai Lakshmi Gayatri Manda: Performance Analysis of Desynchronization Effects in a Parallel Optical Flow Solver

2024

  • Master Thesis – Aditya Ujeniya: Extending a Simulation Framework for Performance Assessment of Parallel Applications

2021

  • Bachelor Thesis – Sebastian Bönning: Integration of Chip-Level Performance Models into a Parallel Simulation Framework

2019

  • Master Thesis – Hassan Asghar: Development of a Benchmark Suite for Investigating MPI Communication Behavior

  • Energy Modeling and Simulation of Parallel Applications on Clusters

2026

2023

2022

2021

2020

2019

2018

2025

2024

2023

  • Afzal A., Hager G., Wellein G.:
    Making Applications Run Faster by Slowing Down Processes?
    ISC High Performance 2023
    (Hamburg, Germany, 2023-05-21/2023-05-25)
    Download: Poster PDF

2022

2021

2019