About Me
I am a final-year PhD student at the Division of Robotics, Perception and Learning, KTH Royal Institute of Technology supervised by John Folkesson, Nils Bore and Anna Wåhlin.
As part of the Swedish Maritime Robotics Centre (SMaRC), my research involves developing autonomous underwater vehicles (AUVs) to explore and map the vast ocean. More specifically, I work with AUV navigation and seafloor mapping using deep learning and computer vision techniques adapted to sonar sensors.
My research interest include 3D reconstruction, multimodal learning, sensor fusion and simultaneous localization and mapping (SLAM). Besides research, I contribute actively to the development of the open-source SMaRC software stack for AUVs. Additionally, I enjoy making intuitive visualizations and presentations that make complex systems and data more understandable.
Before starting my PhD, I earned an MSc in Machine Learning and a BSc in Computer Science and Engineering, both from KTH. I have a strong software engineering background and enjoy solving complex real-world problems. I have experience designing and implementing real robotics systems, and have deployed AUVs in various field trips for data collection, including onboard the ITGC research cruise to West Antarctica 2022.
Outside of research, I enjoy staying active and spending time in the nature, as well as exploring creative outlets. I enjoy multiple sports, including running, cycling, hiking, figure skating and calisthenics. I also enjoy photography, drawing and collaging. At heart, I am a curious person who loves to learn new things and discover new experiences.
Selected Projects
- Design and Implementation of Robotics System for Underwater Exploration
- ITGC Research Cruise to West Antarctica 2022
Selected Publications
- Score-Based Multibeam Point Cloud Denoising, IEEE/OES Autonomous Underwater Vehicles (AUV) Symposium, 2024. [Github], [Paper], [Slides]
- Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration, IEEE International Conference on Robotics and Automation (ICRA), 2024. [Website], [Github], [Paper], [Slides]
- Swirls and Scoops: Ice Base Melt Revealed by Multibeam Imagery of An Antarctic Ice Shelf, Science Advances, 2024. [Paper]