| 2025 | IECON | Deep Reinforcement Learning for Tuning of Adaptive Model Predictive Control for Autonomous Driving | Feras Hamadeh, Anas Abdelkarim, Amar Hamadeh, Daniel Grges, Holger Voos |
| 2025 | SMC | Human Driver Modeling via Control-Based Approaches: PID and MPC using Bayesian Optimization for Driver Adaptation. | Steffen Schmees, Jan Heidinger, Markus Gdker, Lukas Bernhardt, Thomas Franke, Daniel Grges |
| 2024 | ICAART | Investigation of the Performance of Different Loss Function Types Within Deep Neural Anchor-Free Object Detectors. | Ala'a Alshubbak, Daniel Grges |
| 2024 | ISVC | Self-supervised Segmentation to Pose Estimation Model for Mechanical Systems with Complex Kinematics. | Ala'a Alshubbak, Cyrille Ewoudi Ewoudi, Daniel Grges |
| 2023 | IECON | An Accelerated Interior-Point Method for Convex Optimization Leveraging Backtracking Mitigation. | Anas Abdelkarim, Yanzhao Jia, Daniel Grges |
| 2023 | IECON | Optimization of Vehicle-to-Grid Profiles for Peak Shaving in Microgrids Considering Battery Health. | Anas Abdelkarim, Yanzhao Jia, Daniel Grges |
| 2023 | ISVC | A Self-supervised Pose Estimation Approach for Construction Machines. | Ala'a Alshubbak, Daniel Grges |
| 2022 | SMC | Learning-Based Driver Behavior Modeling and Delay Compensation to Improve the Efficiency of an Eco-Driving Assistance System. | Sai Krishna Chada, Daniel Grges, Achim Ebert, Roman Teutsch, Chin Guang Min |
| 2013 | ETFA | Control design for nodes in decentralized traffic networks with delayed traffic information. | Ireneus Wior, Mohsen Mirza Aligoudarzi, Alexander Fay, Daniel Grges, Steven Liu |