Felix Resch

Projektass. Dipl.-Ing. / BSc

Role

NoctuaNet2: AI-driven drone system to detect, track, and capture intruder UAVs.
2026 / Sprind Gmbh

Lemmel, J., Resch, F., Farsang, M., Hasani, R., Rus, D., Grosu, R. (2026). Online Fine-Tuning of Pretrained Controllers for Autonomous Driving via Real-Time Recurrent RL. In Catch, Adapt, and Operate: Monitoring ML Models Under Drift Workshop. Catch, Adapt, and Operate: Monitoring ML Models Under Drift Workshop, Rio de Janeiro, Brazil. Peer-reviewed.
HDL: 20.500.12708/227938
Iturbe, X., Abderrahmane, N., Abella, J., Alcaide Portet, S., Beyne, E., Charles, H.-P., Charpin-Nicolle, C., Chittka, L., Dávilaa, A., Erdmann, A., Estrada, C., Fernández, A., Fontanelli, A., Flich, J., Furano, G., Gloriani, A. H., Isusquiza, E., Grosu, R., Hernández, C., … Zaykov, P. (2023). NimbleAI: Towards Neuromorphic Sensing-Processing 3D-integrated Chips. In 2023 Design, Automation Test in Europe Conference Exhibition (DATE) (pp. 1–6). Peer-reviewed.
DOI: 10.23919/DATE56975.2023.10136952 / Project: NimbleAI

Resch, F. (2023). Autonomous racing with attention-based neural networks [Diploma Thesis, Technische Universität Wien]. reposiTUm.
DOI: 10.34726/hss.2023.101602 / Download: PDF