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

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”