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Prof. Dr.-Ing. Markus Mayer

  • Creative image and audio processing
  • Artificial intelligence and (folk) musik

Professor

Study coordinator and advisor for the Bachelor study course “Artificial Intelligence” (German version)


consulting time

In case my office door is open: Come in and ask if I currently have time! If I'm not present, please write me a mail to schedule an appointment.


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core competencies

  • Image processing (mainly medical image processing, registration and segmentation)
  • Machine learning (data mining, classification and regression)
  • Audio & AI, computersound


Research and teaching areas

Past and present Lectures:

  • Programming I & II
  • Statistics
  • Machine Learning
  • Project management
  • Industrial AI applications
  • Introduction to AI
  • Theoretical Fundations of AI
  • Computer Sound
  • Audio & AI


Vita

Resume:

  • 2007: Completed computer science studies with side course musicology at the FAU Erlangen
  • 2007-2012: PhD student at the Pattern Recognition Lab at the FAU Erlangen.
  • 2012-2022: Researcher and developer at Arnold & Richter Cine Technik (Arri) in Munich. Last position: Senior image science engineer.
  • 2022 (ongoing): Professor at the Deggendorf Institute of Technology

Accomplishments:

  • 2008: International travel grant of the “Association for Research in Vision and Ophthalmology (ARVO) Annual Meeting 2008”
  • 2011: Student award of the “Erlangen Graduate School of Advanced Optical Technologies (SAOT)“
  • 2016: Patent granted (together with collegues from the LME Erlangen and the MIT Boston): “Method and apparatus for motion correction and image enhancement for optical coherence tomography”
  • 2018: Finalized PhD: “Automated Glaucoma Detection with Optical Coherence Tomography”
  • Reviewer for multiple widely recognized magazines and organisations (a.o. IEEE Transaction on Medical Imaging, SPIE Journal of Biomedical Optics…)


Other

Currently running Bachelor- & Masterarbeiten (without company cooperation):

  • Cross-Domain Timbre Transfer Using Deep Generative Models
  • Neural Network Sound Synthesis
  • The “Mondrian” image compression
  • Optimization of noise for neural network confusion
  • Generative Adversarial Networks for the Synthesis of Realistic Images from Sketches

Contact me directly via mail if you want to know about current topics. In general my topics are from the fields of:

  • Machine learning and statistics in audio processing
  • Artificial intelligence and (folk) music
  • Interesting and creative challenges in signal- and image processing