Pedram Bakhtiarifard | (2022/10–) | Student Research Assistant working on methods for sustainable AI and Resource Efficient ML. | Bakhtiarifard et al. 2024 |
Frederik L. Johansen | (2022/08–) | PhD fellow working on atomic structure prediction from X-ray Total Scattering and Pair Distribution Function data using Generative ML. | Friis-Jensen,Johansen et al. (2024); Johansen et al. (2024) |
Ulrik Friis-Jensen | (2022/08–) | PhD fellow working on using GNNs and Generative Models to do structure solution of nanoparticles from Total Scattering and Pair Distribution Function (PDF) data. | Friis-Jensen,Johansen et al. (2024); Johansen et al. (2024) |
Tong Chen | (2023/06–) | Postdoc working on sustainable Machine Learning | Chen & Selvan (2024); Thorsteinsson et al. (2024) |
Jákup O. Svöðstein | (2023/06–) | Double PhD candidate (jointly with University of Faroe Islands) studying Data-Driven Machine Learning Approaches for Compressible and Incompressible Fluid Dynamics Modelling. | |
Bob Pepin | (2024/01–) | Postdoc working on sustainable machine learning | Pepin et al. 2024; Selvan et al. 2024 |
Rasmus Løvstad | (2024/03–) | Student Research Assistant working on carbon footprint aware task scheduling. | |
Jonathan V. Wenshøj | (2024/08–) | Student Research Assistant working on quantization of neural networks. | |