About me
Born in 1995 in Kaiserslautern, Germany, with Thai and German roots, my passion for science and computers began early. I aspired to be a Computer Scientist, drawn to the captivating world of coding and problem-solving. Today, I’m dedicated to exploring Artificial Intelligence with current research on Image Super-Resolution and past explorations in Neural Architecture Search and Recurrent Neural Networks.
List of publications
2023 - DWA: Differential Wavelet Amplifier for Image Super-Resolution
Brian B. Moser, Stanislav Frolov, Federico Raue, Sebastian Palacio, Andreas Dengel
2023 - Bridging the Gap: Infusing Natural Science Classes with Computer Science Concepts and Skills
Elena Yanakieva, Annette Bieniusa, Thomas Becka, Brian B. Moser, Dominik Jerger, Christoph Thyssen
2023 - Hitchhiker’s Guide to Super-Resolution: Introduction and Recent Advances
Brian B. Moser, Federico Raue, Stanislav Frolov, Sebastian Palacio, Jörn Hees, Andreas Dengel
2022 - Less Is More: Proxy Datasets in NAS Approaches
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2020 - DartsReNet: Exploring New RNN Cells in ReNet Architectures
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
2019 - Comparison Between U-Net and U-ReNet Models in OCR Tasks
Brian B. Moser, Federico Raue, Jörn Hees, Andreas Dengel
Educations
- 2021 - today, PhD, TU Kaiserslautern / RPTU Kaiserslautern-Landau, Germany
- 2018 - 2021, Computer Science, M.Sc., TU Kaiserslautern, Germany
- 2014 - 2018, Computer Science, B.Sc., TU Kaiserslautern, Germany