| 2025 | LANMAN | Evaluation of Graph Neural Networks in Airborne Networks. | Ali Yilmaz Yildirim, Fabien Geyer, Georg Carle |
| 2025 | PIMRC | Explainable AI for UAV Mobility Management: A Deep Q-Network Approach for Handover Minimization. | Irshad A. Meer, Bruno Hrmann, Mustafa zger, Fabien Geyer, Alberto Viseras, Dominic Schupke, Cicek Cavdar |
| 2025 | RTCSA | Efficient Gradient-Based Network Calculus for Scalable Synthesis of Network Configurations. | Fabien Geyer, Steffen Bondorf |
| 2024 | Networking | Utility-Driven Optimization of TTL Cache Hierarchies Under Network Delays. | Karim S. Elsayed, Fabien Geyer, Amr Rizk |
| 2022 | GLOBECOM | Precise Onboard Aircraft Cabin Localization using UWB and ML. | Fabien Geyer, Dominic Schupke |
| 2022 | IMC | Analyzing real-time video delivery over cellular networks for remote piloting aerial vehicles. | Aygn Baltaci, Hendrik Cech, Nitinder Mohan, Fabien Geyer, Vaibhav Bajpai, Jrg Ott, Dominic Schupke |
| 2022 | INFOCOM | Network Synthesis under Delay Constraints: The Power of Network Calculus Differentiability. | Fabien Geyer, Steffen Bondorf |
| 2022 | MSWIM | Demo: A Combined Multipath Connectivity and Flight Simulation Framework. | Aygn Baltaci, Fabien Geyer, Markus Klgel, Dominic Schupke |
| 2022 | MSWIM | End-to-end Multipath Optimization for Reliable Aerial Connectivity. | Aygn Baltaci, Fabien Geyer, Dominic Schupke, Jrg Ott |
| 2021 | INFOCOM | Experimental UAV Data Traffic Modeling and Network Performance Analysis. | Aygn Baltaci, Markus Klgel, Fabien Geyer, Svetoslav Duhovnikov, Vaibhav Bajpai, Jrg Ott, Dominic Schupke |
| 2021 | NetSoft | Adaptive Batching for Fast Packet Processing in Software Routers using Machine Learning. | Peter Okelmann, Leonardo Linguaglossa, Fabien Geyer, Paul Emmerich, Georg Carle |
| 2021 | RTAS | Tightening Network Calculus Delay Bounds by Predicting Flow Prolongations in the FIFO Analysis. | Fabien Geyer, Alexander Scheffler, Steffen Bondorf |
| 2020 | ISCC | On the Robustness of Deep Learning-predicted Contention Models for Network Calculus. | Fabien Geyer, Steffen Bondorf |
| 2020 | Networking | Virtual Cross-Flow Detouring in the Deterministic Network Calculus Analysis. | Steffen Bondorf, Fabien Geyer |
| 2019 | CoNEXT | On the Learnability of Software Router Performance via CPU Measurements. | Charles Shelbourne, Leonardo Linguaglossa, Aldo Lipani, Tianzhu Zhang, Fabien Geyer |
| 2019 | INFOCOM | DeepTMA: Predicting Effective Contention Models for Network Calculus using Graph Neural Networks. | Fabien Geyer, Steffen Bondorf |
| 2019 | Networking | DeepMPLS: Fast Analysis of MPLS Configurations Using Deep Learning. | Fabien Geyer, Stefan Schmid |
| 2018 | Networking | Towards a Deeper Understanding of TCP BBR Congestion Control. | Dominik Scholz, Benedikt Jaeger, Lukas Schwaighofer, Daniel Raumer, Fabien Geyer, Georg Carle |
| 2018 | SIGCOMM | Learning and Generating Distributed Routing Protocols Using Graph-Based Deep Learning. | Fabien Geyer, Georg Carle |
| 2016 | LANMAN | Self-configuring real-time communication network based on OpenFlow. | Peter Heise, Marc Lasch, Fabien Geyer, Roman Obermaisser |
| 2015 | CNSM | Deterministic OpenFlow: Performance evaluation of SDN hardware for avionic networks. | Peter Heise, Fabien Geyer, Roman Obermaisser |
| 2014 | LCN | Towards stochastic flow-level network modeling: Performance evaluation of short TCP flows. | Fabien Geyer, Stefan Schneele, Georg Carle |
| 2013 | ISCC | Evaluation of Audio/Video Bridging forwarding method in an avionics switched ethernet context. | Fabien Geyer, Emanuel Heidinger, Stefan Schneele, Alexander von Bodisco |