Position: PhD Student (co-supervised)
Supervisor: Christoph Langhammer, Chalmers University of Technology
Co-Supervisors: Giovanni Volpe
PhD start date: 1 Dec 2020
Master Degree: Complex Adaptive Systems, Chalmers University of Technology, Sweden
Hi! My research focuses on AI for experimental physics, and my project is AI for nano-spectroscopy and microscopy. In concrete terms, I utilize deep learning techniques in an optical microscopy setup to study the properties of biological molecules, in a catalytic nanoreactor to study the effect of complex catalytic nano-particle surface effects on said particles’ catalytic activity, and improve hydrogen gas sensing in collaboration with Vinnova, industry partners and several involved research groups at Chalmers and GU.
Latest News (all news about Henrik Klein Moberg)
- Book “Deep Learning Crash Course” published at No Starch Press July 19, 2024
Accelerating Plasmonic Hydrogen Sensors for Inert Gas Environments by Transformer-Based Deep Learning on ArXiv December 23, 2023
Presentation by H. Klein Moberg at SPIE-ETAI, San Diego, 23 August 2023 August 23, 2023
Soft Matter Lab members present at SPIE Optics+Photonics conference in San Diego, 20-24 August 2023 August 20, 2023- Presentation by H. Klein Moberg at SPIE-ETAI, San Diego, 23 August 2022 August 23, 2022
- Soft Matter Lab members present at SPIE Optics+Photonics conference in San Diego, 21-25 August 2022 August 21, 2022
Label-free nanofluidic scattering microscopy of size and mass of single diffusing molecules and nanoparticles published in Nature Methods May 30, 2022
DeepTrack won the pitching competition at the Startup Camp 2022. Congrats! March 15, 2022