Teaching & Supervision

Teaching experience

TU Berlin (MSc) — Faculty of Electrical Engineering and Computer Science

• Projects in Deep Learning for Earth Observation (DL4EO) — 2025
• Projects in Computer Vision for Remote Sensing (CV4RS) — 2024
• Image Processing for Remote Sensing (IP4RS) — 2024

Université Grenoble Alpes (MSc) — Grenoble Institute of Technology

• Advanced Hyperspectral Image Analysis (Guest Lecturer) — Nov. 2021; 2022

University of Iceland (BSc) — Department of Electrical and Computer Engineering

• Introduction to Actuators and Control Systems — 2019
• PLC/PAC — 2017; 2018 (Spring, Fall)
• Circuit Theory I — 2017; 2018; 2019
• Control Systems — 2017; 2018
• Electrical Engineering Lab Orientation — 2017; 2018
• Circuit Theory II — 2016; 2017; 2018
• Electronic Circuits — 2019
• Data Acquisition and Processing — 2016; 2017; 2018
• Introduction to Actuators — 2016; 2017
• Introduction to Sensors — 2016; 2017

Project-based courses

• Project I — 2016; 2017; 2018
• Project II — 2016; 2017; 2018
• BSc Preparation for Final Project — 2016; 2017; 2018

University of Iceland (MSc) — Department of Electrical and Computer Engineering

• Linear Systems — 2016
  Substituted for the main lecturer on sabbatical; fully responsible for lectures.

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PhD student co-supervision

• Lars Möllenbrok — TU Berlin Research project: Continual Learning for Remote Sensing
  2024–present

• Martin Hermann Paul Fuchs — TU Berlin Research project: Hyperspectral Data Compression
  2024–present

• Elias Arbash — University of Antwerp Research project: “RAMSES” – Real-Time Object Detection, Tracking, and Sorting on a Conveyor Belt Using Machine Learning and Multi-Optical Imaging Sensors
  2021–2023

• Alexandre Zouaoui — Université Grenoble Alpes Thesis: “Sparse and Archetypal Matrix Factorization Algorithms for Hyperspectral Image Restoration and Spectral Unmixing”
  2021–2023

• Kasra Rafiezadeh Shahi — University of Antwerp Thesis: “Unsupervised Machine/Deep Learning for Single/Multi-Source Remote Sensing Image Classification”
  2020–2022

MSc student co-supervision

• Jan Philipps — TU Berlin Research project: Adaptation of Remote Sensing Foundation Models to Time-Series Downstream Tasks
  2025–ongoing

• Florian Pirvu — TU Berlin Research project: Onboard Super-Resolution Methods for Hyperspectral Images
  2025–ongoing

• Joanna Stamer — TU Berlin Research project: Development of Foundation Models in Ocean Remote Sensing
  2024–ongoing

• Omar Faruk — TU Dresden Thesis: “Developing Deep Learning-Based Architectures for Multisensor Object Detection”
  2022–2023