| 2026 | DaWaK | Topologically-Constrained Any-Variate Time-Series Foundation Models for Twinning of Continuous Industrial Processes. | Michael Mayr, Georgios C. Chasparis |
| 2024 | CoDIT | Safety-Driven Deep Reinforcement Learning Framework for Cobots: A Sim2Real Approach. | Ammar N. Abbas, Shakra Mehak, Georgios C. Chasparis, John D. Kelleher, Michael Guilfoyle, Maria Chiara Leva, Aswin K. Ramasubramanian |
| 2024 | DaWaK | Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry. | Michael Mayr, Georgios C. Chasparis, Josef Kng |
| 2022 | DaWaK | Interpretable Input-Output Hidden Markov Model-Based Deep Reinforcement Learning for the Predictive Maintenance of Turbofan Engines. | Ammar N. Abbas, Georgios C. Chasparis, John D. Kelleher |
| 2021 | DaWaK | Filter-Based Feature Selection Methods for Industrial Sensor Data: A Review. | Sabrina Luftensteiner, Michael Mayr, Georgios C. Chasparis |
| 2019 | PDP | Learning-Based Dynamic Pinning of Parallelized Applications in Many-Core Systems. | Georgios C. Chasparis, Michael Rossbory, Vladimir Janjic, Kevin Hammond |
| 2017 | EuroPar | Efficient Dynamic Pinning of Parallelized Applications by Reinforcement Learning with Applications. | Georgios C. Chasparis, Michael Rossbory, Vladimir Janjic |
| 2013 | ECRTS | A Game-Theoretic Resource Manager for RT Applications. | Martina Maggio, Enrico Bini, Georgios C. Chasparis, Karl-Erik rzn |
| 2012 | WiOpt | Fair scheduling in common-pool games by aspiration learning. | Georgios C. Chasparis, Ari Arapostathis, Jeff S. Shamma |
| 2002 | IROS | Analysis and model-based control of servomechanisms with friction. | Evangelos G. Papadopoulos, Georgios C. Chasparis |