| 2026 | ICCSA | On the Dependency of Neural Differential Equations on the Training Numerical Method: Effects on Optimisation and Predictive Performance. | Ceclia Coelho, Oliver Niggemann |
| 2026 | ICISSP | MAWIFlow Benchmark: Realistic Flow-Based Evaluation for Network Intrusion Detection. | Joshua Schraven, Alexander Windmann, Oliver Niggemann |
| 2025 | AISTATS | On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors. | Tim Rensmeyer, Oliver Niggemann |
| 2025 | DX | Are Diagnostic Concepts Within the Reach of LLMs? | Anna Sztyber-Betley, Elodie Chanthery, Louise Trav-Massuys, Silke Merkelbach, Karol Kukla, Maxence Glotin, Alexander Diedrich, Oliver Niggemann |
| 2025 | ETFA | On the Impact of Pretraining with Simulated Data on Anomaly Detection in CPS - A Case Study. | Richard Jaufmann, Niklas Widulle, Jonas Ehrhardt, Daniel Vranjes, Oliver Niggemann |
| 2025 | ETFA | Creating Virtual Sensors Using Neural Networks. | Bjrn Ludwig, Jonas Ehrhardt, Oliver Niggemann |
| 2025 | ETFA | CPSWatch: Lightweight Ontology for System Description and Diagnosis. | Bjrn Ludwig, Maria Maleshkova, Oliver Niggemann |
| 2025 | ETFA | The HAI-CPPS Benchmark: Evaluating AI Capabilities across Hybrid Data Spaces. | Lukas Moddemann, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann |
| 2025 | ETFA | Combining Physical Properties with Probabilistic Methods in Neural Networks for Robust Forecasting in Electric Grids. | Samim Ahmad Multaheb, Oliver Niggemann |
| 2025 | ETFA | On the Impact of Instance- and Type-Level Modeling on Neural Network-Based Anomaly Detection for Cyber-Physical Systems. | Daniel Vranjes, Oliver Niggemann |
| 2025 | ETFA | Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems. | Alexander Windmann, Henrik S. Steude, Daniel Boschmann, Oliver Niggemann |
| 2024 | DX | Inferring Sensor Placement Using Critical Pairs and Satisfiability Modulo Theory. | Alexander Diedrich, Ren Heesch, Marco Bozzano, Bjrn Ludwig, Alessandro Cimatti, Oliver Niggemann |
| 2024 | DX | Summary of "A Lazy Approach to Neural Numerical Planning with Control Parameters" (Extended Abstract). | Ren Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann |
| 2024 | DX | Using Multi-Modal LLMs to Create Models for Fault Diagnosis (Short Paper). | Silke Merkelbach, Alexander Diedrich, Anna Sztyber-Betley, Louise Trav-Massuys, Elodie Chanthery, Oliver Niggemann, Roman Dumitrescu |
| 2024 | DX | Design Principles for Falsifiable, Replicable and Reproducible Empirical Machine Learning Research. | Daniel Vranjes, Jonas Ehrhardt, Ren Heesch, Lukas Moddemann, Henrik Sebastian Steude, Oliver Niggemann |
| 2024 | ECAI | A Lazy Approach to Neural Numerical Planning with Control Parameters. | Ren Heesch, Alessandro Cimatti, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann |
| 2024 | ECAI | Automated Impact Echo Spectrum Anomaly Detection using U-Net Autoencoder. | Artur Liebert, Fabian Dethof, Sylvia Keler, Oliver Niggemann |
| 2024 | ETFA | Using Modular Neural Networks for Anomaly Detection in Cyber-Physical Systems. | Jonas Ehrhardt, Phillip Johann Overlper, Daniel Vranjes, Henrik S. Steude, Alexander Diedrich, Oliver Niggemann |
| 2024 | ETFA | Design Automation: A Conditional VAE Approach to 3D Object Generation Under Conditions. | Michael Hohmann, Sebastian Eilermann, Willi Gromann, Oliver Niggemann |
| 2024 | ETFA | Using Ontologies to Create Logical System Descriptions for Fault Diagnosis. | Bjrn Ludwig, Alexander Diedrich, Oliver Niggemann |
| 2024 | ETFA | Potentials of Large Language Models for Generating Assembly Instructions. | Frdric Meyer, Lennart Freitag, Sven Hinrichsen, Oliver Niggemann |
| 2024 | ETFA | Extracting Knowledge using Machine Learning for Anomaly Detection and Root-Cause Diagnosis. | Lukas Moddemann, Henrik Sebastian Steude, Alexander Diedrich, Ingo Pill, Oliver Niggemann |
| 2024 | ETFA | Discretization of CPS Time Series with Neural Networks. | Phillip Johann Overlper, Lukas Moddemann, Nemanja Hranisavljevic, Alexander Windmann, Oliver Niggemann |
| 2024 | ETFA | Enhancing Nonlinear Electrical Circuit Modeling with Prior Knowledge-Infused Neural ODEs. | Bernd Zimmering, Jan-Philipp Roche, Oliver Niggemann |
| 2024 | INDIN | Automation of PGAA Spectra Analysis with Deep Learning. | Daniel Boschmann, Christian Stieghorst, David Knezevic, Loubna Kadri, Oliver Niggemann |
| 2024 | INDIN | Generating Assembly Instructions Using Reinforcement Learning in Combination with Large Language Models. | Niklas Widulle, Frdric Meyer, Oliver Niggemann |
| 2024 | INDIN | Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems. | Alexander Windmann, Philipp Wittenberg, Marvin Schieseck, Oliver Niggemann |
| 2023 | ECAI | Learning Process Steps as Dynamical Systems for a Sub-Symbolic Approach of Process Planning in Cyber-Physical Production Systems. | Jonas Ehrhardt, Ren Heesch, Oliver Niggemann |
| 2023 | ECAI | Integrating Machine Learning into an SMT-Based Planning Approach for Production Planning in Cyber-Physical Production Systems. | Ren Heesch, Jonas Ehrhardt, Oliver Niggemann |
| 2023 | ETFA | Using FliPSi to Generate Data for Machine Learning Algorithms. | Artur Liebert, Christian Wittke, Jonas Ehrhardt, Richard Jaufmann, Niklas Widulle, Sebastian Eilermann, Maria Krantz, Oliver Niggemann |
| 2023 | FIE | Task-fidelity Assessment for Programming Tasks Using Semantic Code Analysis. | Leon Wehmeier, Sebastian Eilermann, Oliver Niggemann, Andreas Deuter |
| 2023 | INDIN | KIAAA: An AI Assistant for Teaching Programming in the Field of Automation. | Sebastian Eilermann, Leon Wehmeier, Oliver Niggemann, Andreas Deuter |
| 2022 | ETFA | An AI benchmark for Diagnosis, Reconfiguration & Planning. | Jonas Ehrhardt, Malte Ramonat, Ren Heesch, Kaja Balzereit, Alexander Diedrich, Oliver Niggemann |
| 2022 | ETFA | Learning Physically Meaningful Representations of Energy Systems with Variational Autoencoders. | Samim Ahmad Multaheb, Fabian Bauer, Peter Bretschneider, Oliver Niggemann |
| 2021 | INDIN | An Ensemble of Benchmarks for the Evaluation of AI Methods for Fault Handling in CPPS. | Kaja Balzereit, Alexander Diedrich, Jonas Ginster, Stefan Windmann, Oliver Niggemann |
| 2021 | IECON | Neural Network Modeling of Nonlinear Filters for EMC Simulation in Discrete Time Domain. | Jan-Philipp Roche, Jens Friebe, Oliver Niggemann |
| 2019 | AAAI | Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based Diagnosis Models. | Andreas Bunte, Benno Stein, Oliver Niggemann |
| 2019 | AAAI | Model-Based Diagnosis of Hybrid Systems Using Satisfiability Modulo Theory. | Alexander Diedrich, Alexander Maier, Oliver Niggemann |
| 2019 | ETFA | Evaluation of Cognitive Architectures for Cyber-Physical Production Systems. | Andreas Bunte, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein, Heide Faeskorn-Woyke, Oliver Niggemann |
| 2019 | ETFA | Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS. | Andreas Bunte, Paul Wunderlich, Natalia Moriz, Peng Li, Andr Mankowski, Antje Rogalla, Oliver Niggemann |
| 2019 | ICAART | Data-driven Identification of Causal Dependencies in Cyber-Physical Production Systems. | Kaja Balzereit, Alexander Maier, Bjrn Barig, Tino Hutschenreuther, Oliver Niggemann |
| 2018 | ETFA | Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA. | Andreas Bunte, Oliver Niggemann, Benno Stein |
| 2018 | ETFA | A Data Provenance based Architecture to Enhance the Reliability of Data Analysis for Industry 4.0. | Peng Li, Oliver Niggemann |
| 2018 | ETFA | Improved Domain Modeling for Realistic Automated Planning and Scheduling in Discrete Manufacturing. | Antje Rogalla, Alexander Fay, Oliver Niggemann |
| 2018 | ETFA | Information Retrieval in Industrial Production Environments. | Stefan Windmann, Oliver Niggemann |
| 2018 | ICAART | Mapping Data Sets to Concepts using Machine Learning and a Knowledge based Approach. | Andreas Bunte, Peng Li, Oliver Niggemann |
| 2018 | INDIN | Generation of Adversarial Examples to Prevent Misclassification of Deep Neural Network based Condition Monitoring Systems for Cyber-Physical Production Systems. | Felix Specht, Jens Otto, Oliver Niggemann, Barbara Hammer |
| 2018 | INDIN | Challenges in Learning Causal Models of Alarms in Industrial Plants. | Paul Wunderlich, Oliver Niggemann |
| 2018 | IECON | A Geometric Approach to Clustering Based Anomaly Detection for Industrial Applications. | Peng Li, Oliver Niggemann, Barbara Hammer |
| 2018 | MMAR | Inference Methods for Detecting the Root Cause of Alarm Floods in Causal Models. | Paul Wunderlich, Oliver Niggemann |
| 2018 | SAFEProcess | Diagnosing Hybrid Cyber-Physical Systems using State-Space Models and Satisfiability Modulo Theory. | Alexander Diedrich, Oliver Niggemann |
| 2018 | SAFEProcess | LSTM for Model-based Anomaly Detection in Cyber-Physical Systems. | Benedikt Eiteneuer, Oliver Niggemann |
| 2018 | WFCS | Assistance system to support troubleshooting of complex industrial systems. | Dorota Lang, Paul Wunderlich, Mario Heinz, Lukasz Wisniewski, Jrgen Jasperneite, Oliver Niggemann, Carsten Rcker |
| 2017 | ETFA | Using self-organizing maps to learn hybrid timed automata in absence of discrete events. | Alexander von Birgelen, Oliver Niggemann |
| 2017 | ETFA | Semantic interoperability for asset communication within smart factories. | Christian Diedrich, Alexander Belyaev, Tizian Schroder, Jens Vialkowitsch, Alexander Willmann, Thomas Uslnder, Heiko Koziolek, Jrg Wende, Florian Pethig, Oliver Niggemann |
| 2017 | ETFA | Automated process planning for cyber-physical production systems. | Antje Rogalla, Oliver Niggemann |
| 2017 | ETFA | Learning parallel automata of PLCs. | Stefan Windmann, Dorota Lang, Oliver Niggemann |
| 2017 | ETFA | A novel self-configuration method for RFID systems in industrial production environments. | Stefan Windmann, Oliver Niggemann, Holger Ruwe, Friedrich Becker |
| 2017 | ETFA | Structure learning methods for Bayesian networks to reduce alarm floods by identifying the root cause. | Paul Wunderlich, Oliver Niggemann |
| 2017 | INDIN | Defining and validating similarity measures for industrial alarm flood analysis. | Marta Fullen, Peter Schller, Oliver Niggemann |
| 2017 | INDIN | Towards Industrie 4.0 compliant configuration of condition monitoring services. | Florian Pethig, Oliver Niggemann, Armin Walter |
| 2017 | INDIN | A new approach to model-based test case generation for industrial automation systems. | Kevin Pinkal, Oliver Niggemann |
| 2016 | ETFA | Integrating semantics for diagnosis of manufacturing systems. | Andreas Bunte, Alexander Diedrich, Oliver Niggemann |
| 2016 | ICAART | Exposing Design Mistakes During Requirements Engineering by Solving Constraint Satisfaction Problems to Obtain Minimum Correction Subsets. | Alexander Diedrich, Bjrn Bttcher, Oliver Niggemann |
| 2016 | INDIN | Pattern-based control-code synthesis. | Steffen Henning, Jens Otto, Oliver Niggemann |
| 2016 | INDIN | Improving clustering based anomaly detection with concave hull: An application in fault diagnosis of wind turbines. | Peng Li, Oliver Niggemann |
| 2016 | INDIN | Optimizing modular and reconfigurable cyber-physical production systems by determining parameters automatically. | Jens Otto, Birgit Vogel-Heuser, Oliver Niggemann |
| 2016 | INDIN | A GPU-based method for robust and efficient fault detection in industrial automation processes. | Stefan Windmann, Oliver Niggemann |
| 2015 | AAAI | On the Diagnosis of Cyber-Physical Production Systems. | Oliver Niggemann, Volker Lohweg |
| 2015 | AAAI | Automatic Parameterization of Automation Software for Plug-and-Produce. | Jens Otto, Oliver Niggemann |
| 2015 | ETFA | CP3L: A Cyber-Physical Production Planning Language. | Anas Anis, Wilhelm Schfer, Andrey Pines, Oliver Niggemann |
| 2015 | ETFA | Hybrid approach combining Bayesian network and rule-based systems for resource optimization in industrial cleaning processes. | Ganesh Man Shrestha, Oliver Niggemann |
| 2015 | ETFA | Exploiting multicore processors in PLCs using libraries for IEC 61131-3. | Felix Specht, Holger Flatt, Jens Eickmeyer, Oliver Niggemann |
| 2015 | ETFA | A HMM-based fault detection method for piecewise stationary industrial processes. | Stefan Windmann, Florian Jungbluth, Oliver Niggemann |
| 2015 | ETFA | MapReduce algorithms for efficient generation of CPS models from large historical data sets. | Stefan Windmann, Oliver Niggemann |
| 2015 | INDIN | Bayesian predictive assistance system: An embedded application for resource optimization in industrial cleaning processes. | Ganesh Man Shrestha, Peng Li, Oliver Niggemann |
| 2015 | INDIN | Efficient fault detection for industrial automation processes with observable process variables. | Stefan Windmann, Oliver Niggemann |
| 2015 | SAFEProcess | Data Driven Modeling for System-Level Condition Monitoring on Wind Power Plants. | Jens Eickmeyer, Peng Li, Omid Givehchi, Florian Pethig, Oliver Niggemann |
| 2015 | SAFEProcess | On the Learning of Timing Behavior for Anomaly Detection in Cyber-Physical Production Systems. | Alexander Maier, Oliver Niggemann, Jens Eickmeyer |
| 2015 | SAFEProcess | Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control. | Oliver Niggemann, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani, Sren Volgmann, Andreas Bunte |
| 2014 | ECAI | From Formal Requirements on Technical Systems to Complete Designs - A Holistic Approach. | Bjrn Bttcher, Natalia Moriz, Oliver Niggemann |
| 2014 | ECAI | Emotional Trends in Social Media - A State Space Approach. | Sren Volgmann, Francisco M. Rangel Pardo, Oliver Niggemann, Paolo Rosso |
| 2014 | ETFA | A comparison of modeling approaches for planning in Cyber Physical Production Systems. | Anas Anis, Wilhelm Schfer, Oliver Niggemann |
| 2014 | ETFA | A descriptive engineering approach for cyber-physical systems. | Steffen Henning, Oliver Niggemann, Jens Otto, Sebastian Schriegel |
| 2014 | ETFA | System modeling based on machine learning for anomaly detection and predictive maintenance in industrial plants. | Bjrn Kroll, David Schaffranek, Sebastian Schriegel, Oliver Niggemann |
| 2014 | ETFA | Assisted design for automation systems - From formal requirements to final designs. | Natalia Moriz, Bjrn Bttcher, Oliver Niggemann, Josef Lackhove |
| 2014 | ETFA | On the applicability of model based software development to cyber physical production systems. | Oliver Niggemann, Bjrn Kroll |
| 2014 | ETFA | A Bayesian predictive assistance system for resource optimization - A case study in industrial cleaning process. | Ganesh Man Shrestha, Oliver Niggemann |
| 2013 | ETFA | Design of industrial automation systems - Formal requirements in the engineering process. | Bjrn Bttcher, Johann Badinger, Natalia Moriz, Oliver Niggemann |
| 2013 | ETFA | The importance of model-learning for the analysis of the energy consumption of production plants. | Syed Shiraz Gilani, Stefan Windmann, Florian Pethig, Bjrn Kroll, Oliver Niggemann |
| 2013 | ETFA | A software architecture for the analysis of energy- and process-data. | Bjrn Kroll, Sebastian Schriegel, Oliver Niggemann, Stefan Schramm |
| 2013 | ICPRAM | Evaluating Learning Algorithms for Stochastic Finite Automata - Comparative Empirical Analyses on Learning Models for Technical Systems. | Asmir Vodencarevic, Alexander Maier, Oliver Niggemann |
| 2013 | INDIN | A stochastic method for the detection of anomalous energy consumption in hybrid industrial systems. | Stefan Windmann, Shuo Jiao, Oliver Niggemann, Holger Borcherding |
| 2012 | AAAI | Learning Behavior Models for Hybrid Timed Systems. | Oliver Niggemann, Benno Stein, Asmir Vodencarevic, Alexander Maier, Hans Kleine Bning |
| 2012 | ETFA | A generic synchronized data acquisition solution for distributed automation systems. | Florian Pethig, Bjrn Kroll, Oliver Niggemann, Alexander Maier, Tim Tack, Matthias Maag |
| 2012 | ICINCO | Visual Anomaly Detection in Production Plants. | Alexander Maier, Tim Tack, Oliver Niggemann |
| 2012 | INDIN | Detecting anomalous energy consumptions in distributed manufacturing systems. | Sebastian Faltinski, Holger Flatt, Florian Pethig, Bjrn Kroll, Asmir Vodencarevic, Alexander Maier, Oliver Niggemann |
| 2011 | ETFA | Using automatic topology discovery to diagnose PROFINET networks. | Michael Jger, Roman Just, Oliver Niggemann |
| 2011 | ETFA | Identifying behavior models for process plants. | Asmir Vodencarevic, Hans Kleine Bning, Oliver Niggemann, Alexander Maier |
| 2011 | ETFA | mINA-DL: A novel description language enabling dynamic reconfiguration in industrial automation. | Michael Wienke, Sebastian Faltinski, Oliver Niggemann, Jrgen Jasperneite |
| 2011 | ICINCO | AutomationML as a Basis for Offline - And Realtime-simulation - Planning, Simulation and Diagnosis of Automation Systems. | Olaf Graeser, Barath Kumar, Oliver Niggemann, Natalia Moriz, Alexander Maier |
| 2011 | ICINCO | Anomaly Detection in Production Plants using Timed Automata - Automated Learning of Models from Observations. | Alexander Maier, Oliver Niggemann, Roman Just, Michael Jger, Asmir Vodencarevic |
| 2010 | KI | A Probabilistic MajorClust Variant for the Clustering of Near-Homogeneous Graphs. | Oliver Niggemann, Volker Lohweg, Tim Tack |
| 2008 | ICSE | Models for model's sake: why explicit system models are also an end to themselves. | Oliver Niggemann, Joachim Stroop |
| 2001 | ISMB | Generating protein interaction maps from incomplete data: application to fold assignment. | Michael Lappe, Jong-Chan Park, Oliver Niggemann, Liisa Holm |
| 2000 | AVI | A Meta Heuristic for Graph Drawing. | Oliver Niggemann, Benno Stein |
| 1999 | WG | On the Nature of Structure and Its Identification. | Benno Stein, Oliver Niggemann |