Hey, I am Felix.

I am an entrepreneurial thinking physicist, currently pursuing a PhD and a part-time MBA. At the moment, I am working on my final PhD thesis. Afterwards, this website will be properly updated.

Just reach out to me via e-mail.

Interests

  • Machine Learning, AI, and Python
  • Ambitious Technology Startups
  • Hyperspectral Remote Sensing
  • 10k Runs and Multi-Day Hikes

Education

  • Ph.D. in Remote Sensing and AI, (2020)

    Karlsruhe Institute of Technology

  • MBA, (2020)

    Collège des Ingénieurs

  • M.Sc. in Particle Physics, 2017

    Karlsruhe Institute of Technology

  • B.Sc. in Physics, 2014

    Karlsruhe Institute of Technology

Experience

 
 
 
 
 

Data Science Intern

FluroSat

Sep 2019 – Dec 2019 Sydney (AU)
Design and implementation of crop type classifier based on satellite images in Python; developed parallelized software on Google Cloud.
 
 
 
 
 

Researcher / Ph.D. Student

Karlsruhe Institute of Technology

May 2017 – Present Karlsruhe (DE)
Development of unsupervised, supervised, and semi-supervised machine learning tools; research in the estimation of soil moisture, soil type, water quality parameters, and land-use; data acquisition with hyperspectral camera, DJI drones, and multiple other sensor systems.
 
 
 
 
 

Lecturer

DHBW Karlsruhe

Jan 2016 – May 2018 Karlsruhe (DE)
Lectures and exams for linear algebra, analysis, statistics, and knowledge-based systems.

Recent Talks

Talks, workshops and media.

Radio interview about 'Künstliche Intelligenz - Trinkwassersuche mit Satelliten und KI'

Radio interview by Anna Caroline Hein about the work of Felix M. Riese and Sina Keller in the field of artificial intelligence and satellite remote sensing for drinking water.

Video about 'Künstliche Intelligenz in der Umweltforschung'

Video about the Trust project funded by BMBF and about my PhD in artificial intelligence, remote sensing and environmental science.

Podcast episode about 'Fernerkundung mit multispektralen Satellitenbildern'

We were part of the German TechTiefen podcast with Nico Kreiling about multispectral satellite computer vision. We explain our attempt on sustainability research in regards to water quality and land use detection.

Recent Articles

Journal articles, conference papers etc.

Aerial Peruvian Andes Campaign (ALPACA) Dataset 2019

The Aerial Peruvian Andes Campaign (ALPACA) dataset was acquired during a measurement campaign of the Institute of Photogrammetry and …

KI im Dienst der Nachhaltigkeit: Trinkwasser für Peru, Precision Farming in Australien

Trinkwasser und Nahrung – diese Grundbedürfnisse des Menschen sind in weiten Teilen der Welt keine Selbstverständlichkeit. Künstliche …

Supervised and Semi-Supervised Self-Organizing Maps for Regression and Classification Focusing on Hyperspectral Data

Machine learning approaches are valuable methods in hyperspectral remote sensing, especially for the classification of land cover or …