Merlin Nau

Merlin Nau, M. Sc.

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room: Room 09.130
Martensstr. 3
91058 Erlangen

Office hours

Each week We, Th,

Academic CV

  • Since 06/2021:
    PhD student at the Pattern Recognition Lab, FAU Erlangen-Nürnberg (FAU), Germany
    In cooperation with Siemens Healthineers Molecular Imaging, USA and Clinic of Nuclear Medicine, University Hospital Erlangen, Germany
  • 04/2018-04/2021:
    M. Sc. Medical Engineering – Image and Data Processing, FAU Erlangen-Nürnberg, Germany
  • 08/2020-01/2021:
    Master Thesis at Computational Photography Lab, Northwestern University, USA
  • 10/2014-04/2018
    B. Sc. Medical Engineering – Imaging Systems, FAU Erlangen-Nürnberg, Germany
  • 08/2017-01/2018
    Exchange student – Umeå University, Sweden

Research Interests

  • SPECT system and reconstruction design
  • Quantum annealing for inverse problems
  • Quantum computing in machine learning

Projects

No projects found.

Publications

2025

Conference Contributions

2024

Conference Contributions

2023

Journal Articles

Conference Contributions

2022

Conference Contributions

2021

Conference Contributions

2020

Conference Contributions

Lectures

I help with the Deep Learning exercises 🙂

Talks

2024

  • German Workshop on Medical Image Processing, Erlangen, 11.02.2024: “Improving Hybrid Quantum Annealing Tomographic Image Reconstruction” (3rd best paper award)
  • London Center for Nanotechnology, UCL, London, UK, 05.06.2024: “Applications of Quantum Annealing in Medical Imaging and Machine Learning”
  • Applied Quantum Computing, LMU, München, 02.06.2024: “Applied Quantum Computing for Medical Imaging”

2023

  • D-Wave Webinar, 28.02.2023: “Quantum Annealing for Medical Image Reconstruction”
  • International Network on Quantum Annealing Seminar, 30.05.2023: “Hybrid Quantum Annealing for Tomographic Image Reconstruction – Opportunities and Limitations”
  • FAU – Department of Physics, Quantum Theory Seminar, 21.06.2023: “Applications of Quantum Computing in Medical Image Reconstruction and Classification”
  • Siemens Healthineers Innovation Center, Erlangen, 06.07.2023: “Initial Assessment of Hybrid Adiabatic Quantum Computing for Emission Tomography Reconstruction”

2022

  • Q2B Silicon Valley, Santa Clara, CA, USA, 06.12.2022: “Quantum Computing for Medical Image Reconstruction”