Master thesis supervision

This page contains information about my past and ongoing master thesis supervision. My full professional bio can be found on the main page.

Spring 2024: Co-main supervisor (jointly with Martin Willbo) of the master thesis students Agnes Eriksson and Malte Åhman, Lund University. Academic supervisor: Assoc. Prof. Mikael Nilsson. Thesis: The Power of Privilege: Enhancing Land Cover Classification with Privileged Information.

Spring 2024: Co-main supervisor (jointly with Dr. Olof Mogren) of the master thesis students Emma Amnemyr and Daniel Björklund, Lund University. Academic supervisor: Prof. Kalle Åström. Thesis: Active Learning Techniques for Annotation Efficiency in Detecting Coffee Berry Disease.

Summer-Fall 2023: Co-main supervisor (jointly with Dr. Olof Mogren) of the master thesis students Axel Eiman and Nils Eickhoff, Chalmers University of Technology. Thesis: Weakly semi-supervised object detection for annotation efficiency: Leveraging a mix of strong bounding box labels and weak point labels for detecting coffee berry disease. The thesis topic is within the area of climate adaptation and was conducted with collaborators in Tanzania (Mpendakazi Agribusiness), who provided data and use-cases. A popular summary can be found here.

Spring 2023: Main supervisor of the master thesis student Ennio Rampello, KTH Royal Institute of Technology. Academic supervisors: Prof. Yifang Ban and Dr. Puzhao Zhang. Thesis: High-altitude navigation to improve the performance of AiRLoc: An RL model for drone navigation. The thesis is related to the area of UAV-based disaster response and management.

Spring 2023: Main supervisor of the master thesis student Vishal Nedungadi, KTH Royal Institute of Technology. Academic supervisors: Prof. Yifang Ban and Ritu Yadav (PhD candidate). Thesis: Active street to aerial view geo-localization. The thesis is related to the area of UAV-based disaster response and management.

Spring 2022: Main supervisor of the master thesis students Anton Samuelsson and John Backsund, Lund University. Academic supervisor: Prof. Kalle Åström. Thesis: Aerial View Goal Localization with Reinforcement Learning. The thesis was subsequently condensed and accepted to a remote sensing workshop at ICLR 2023 (see Publications and preprints above). The thesis is related to the area of UAV-based disaster response and management.