| 2025 | CoDIT | Enhancing Fault Tolerance in Multimodal Learning: A VAE-Based Approach with Probabilistic Fusion. | Diyar Altinses, Andreas Schwung |
| 2025 | CoDIT | Bridging the Gap Between Simulations and Reality: A CycleGAN-Based Approach for Drone Landing Systems. | Diyar Altinses, David Orlando Salazar Torres, Andreas Schwung |
| 2025 | CoDIT | Online-adaptive PID control using Reinforcement Learning. | Detlef Arend, Amerik Toni Singh Padda, Andreas Schwung, Dorothea Schwung |
| 2024 | CoDIT | Model-based Reinforcement Learning for Sim-to-Real Transfer in Robotics using HTM neural networks. | Rizky M. Diprasetya, Ali Nafih Pullani, Andreas Schwung, Dorothea Schwung |
| 2024 | IECON | Structured Graph Generation by Evolutionary Algorithm for Program Code Development. | Marlon Lppenberg, Andreas Schwung |
| 2024 | IECON | Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems. | Steve Yuwono, Marlon Lppenberg, Dorothea Schwung, Andreas Schwung |
| 2023 | ETFA | A Model-Based Deep Learning Approach for Self-Learning in Smart Production Systems. | Steve Yuwono, Andreas Schwung |
| 2023 | INDIN | Integration of ABB Robot Manipulators and Robot Operating System for Industrial Automation. | Mochammad Rizky Diprasetya, Steve Yuwono, Marlon Lppenberg, Andreas Schwung |
| 2023 | INDIN | Self Optimisation and Automatic Code Generation by Evolutionary Algorithms in PLC based Controlling Processes. | Marlon Lppenberg, Andreas Schwung |
| 2023 | IECON | Multimodal Synthetic Dataset Balancing: a Framework for Realistic and Balanced Training Data Generation in Industrial Settings. | Diyar Altinses, Andreas Schwung |
| 2023 | IECON | Deep Multimodal Fusion with Corrupted Spatio-Temporal Data Using Fuzzy Regularization. | Diyar Altinses, Andreas Schwung |
| 2023 | SMC | Stability-Guaranteed Control Systems with Min-Max Constraints and Machine Learning-Based Virtual Sensors. | Eric Hilgert, Andreas Schwung |
| 2022 | ETFA | Synthetic time series dataset generation for unsupervised autoencoders. | Hendrik Klopries, David Orlando Salazar Torres, Andreas Schwung |
| 2022 | ICPRAM | Similarity Constrained Conditional Generative Auto-encoder with Generalized Dilated Networks. | Jan Niclas Reimann, Bhargav Bharat Shukla, Andreas Schwung, Steven X. Ding |
| 2022 | INDIN | Curriculum Learning in Peristaltic Sortation Machine. | Mohammed Sharafath Abdul Hameed, Venkata Harshit Koneru, Johannes Pppelbaum, Andreas Schwung |
| 2022 | INDIN | The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization. | Steve Yuwono, Andreas Schwung, Dorothea Schwung |
| 2021 | ICMLA | Disease Prediction Based on Individual's Medical History Using CNN. | Monica Krishnamoorthy, Mohammed Sharafath Abdul Hameed, Thomas Kopinski, Andreas Schwung |
| 2021 | ICPRAM | Generalized Dilation Structures in Convolutional Neural Networks. | Gavneet Singh Chadha, Jan Niclas Reimann, Andreas Schwung |
| 2020 | ETFA | Remaining Useful Lifetime Estimation with Sobolev Training. | Gavneet Singh Chadha, S. M. Nazmus Sakeib, Andreas Schwung |
| 2020 | ICANN | Permutation Learning in Convolutional Neural Networks for Time-Series Analysis. | Gavneet Singh Chadha, Jinwoo Kim, Andreas Schwung, Steven X. Ding |
| 2020 | IECON | Data-based control of Peristaltic Sortation Machines using Discrete Element Method. | Fabian Westbrink, Andreas Schwung, Steven X. Ding |
| 2019 | INDIN | Fault Detection Assessment using an extended FMEA and a Rule-based Expert System. | Fernando Arvalo, Cristhian Tito, Mochammad Rizky Diprasetya, Andreas Schwung |
| 2019 | INDIN | Comparison of Semi-supervised Deep Neural Networks for Anomaly Detection in Industrial Processes. | Gavneet Singh Chadha, Arfyan Rabbani, Andreas Schwung |
| 2019 | INDIN | Potential Game based Distributed Optimization of Modular Production Units. | Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding |
| 2019 | INDIN | Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches. | Andreas Schwung, Dorothea Schwung, Mohammed Sharafath Abdul Hameed |
| 2019 | IECON | Time Series based Fault Detection in Industrial Processes using Convolutional Neural Networks. | Gavneet Singh Chadha, Monica Krishnamoorthy, Andreas Schwung |
| 2019 | SMC | Self-Optimization in Smart Production Systems using Distributed Reinforcement Learning. | Dorothea Schwung, Madhav Modali, Andreas Schwung |
| 2018 | ETFA | Fault Detection Assessment Architectures based on Classification Methods and Information Fusion. | Fernando Arvalo, Juan Rernenteria, Andreas Schwung |
| 2018 | INDIN | A Cloud-based Architecture for Condition Monitoring based on Machine Learning. | Fernando Arvalo, Mochammad Rizky Diprasetya, Andreas Schwung |
| 2018 | INDIN | Development of a Mobile App for Fault Detection Assessment based on Information Fusion. | Fernando Arvalo, Enzo Oestanto, Andreas Schwung |
| 2018 | INDIN | Virtual Commissioning Approach based on the Discrete Element Method. | Fabian Westbrink, Andreas Schwung |
| 2017 | ETFA | Assistance system for a bulk good system based on information fusion. | Fernando Arvalo, Tin Nguyen, Andreas Schwung |
| 2017 | ETFA | Comparison of deep neural network architectures for fault detection in Tennessee Eastman process. | Gavneet Singh Chadha, Andreas Schwung |
| 2017 | INDIN | An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation. | Dorothea Schwung, Fabian Csaplar, Andreas Schwung, Steven X. Ding |
| 2017 | INDIN | System reconfiguration of modular production units using a SOA-based control structure. | Andreas Schwung, Alexander Elbel, Dorothea Schwung |
| 2017 | INDIN | Self-optimization of energy consumption in complex bulk good processes using reinforcement learning. | Dorothea Schwung, Tim Kempe, Andreas Schwung, Steven X. Ding |