• Teodor Åstrand, Robot Reinforcement Learning for Object Isolation, 2024 (present)

• Adi Creson and Mamdollah Amini, Cross-Domain Adaptability in Image Feature Extraction, 2024 (present)

• Ludwig Jakobsson and Oskar Larsson, Camera Calibration for Alignment of a Real World Setup to a Simulated Environment, 2024

• Anton Fristedt, Optimizing Reinforcement Learning Algorithms Using Design Of Experiments, 2023
• Edvin Olsson, What does a robotic agent need to be able to solve a task?, 2022
• Liam Neric, Sim-To-Real: Domain adaptation of Robot Trajectories with LSTM, 2020

I taught:

• Artificial Intelligence EDAP01 (VT1 '23)
• Applied Machine Learning EDAN96 (HT2 '22)
• Project in Computer Science EDAN70 (VT2 '22)
  • Andreas Olsson and Frans Sjöström, AlphaZero on Connect4: Training with MCTS from scratch on High Performance Computer
  • Elias Sandin Koutsogiannakis, AlphaZero on Connect4: Neural Network Architecture Study
  • Hannes Östergren and Victor Winkelmann, Sign Language Recognition with standard Laptop Webcams: A Study across Machine Learning models
• Artificial Intelligence EDAP01 (VT1 '22)
• Applied Machine Learning EDAN95 (HT2 '21)
• Intelligent Autonomous Systems EDAP20 (HT1 '21)
• Project in Computer Science EDAN70 (VT2 '21)
  • Nils Barr Zeilon, Machine learning on graphs
• Artificial Intelligence EDAP01 + TFRP20 (VT1 '21)
• Applied Machine Learning EDAN95 (HT2 '20)
• Intelligent Autonomous Systems EDAP20 (HT1 '20)
• Algorithm Implementation EDAF15 (VT2 '20)
• Project in Computer Science EDAN70 and EDAN90 (VT2 '20)
  • Jacob Rosensköld, Detecting object manipulations in an assembly task
• Artificial Intelligence EDAP01 (VT1 '20)
• Applied Machine Learning EDAN95 (HT2 '19)
• Multicore Programming EDAN26 (HT1 '19)
• Algorithm Implementation EDAF15 (VT2 '19)

In the upcoming years I will teach in some of the above courses again.