Bacher, N.; Göbel, J.; Nowak, D.; Shyshova, O.; Söffker, D.: Modeling Human-AI-Teaming for fault prediction: Integrating process data and human recognition processes in a pickling line under time pressure. Computers in Industry, Special Issue "Human-AI Symbiosis in Industrial Decision-Making, Automation, and Work Environments", 2026, submitted.

Benrabia, I.; Söffker, D.: Review of energy systems components for exploring model predictive control in energy management systems for multiple community levels . Energy and Buildings, 2026, submitted.

Benrabia, I.; Söffker, D.: Review of energy management strategies for exploring model predictive control in energy management systems for communities and hybrid or multi-energy systems. Energy reports, 2026, submitted.

Donandt, K.; Söffker, D.: Interaction-Aware Graph Neural Network Modeling for Inland Multi-Ship Trajectory Prediction with Explainability Insights. IEEE Transactions on Intelligent Vehicles, 2026, submitted.

Ewen, D.; Denker, J. : Prediction of Strip Width Deviation in Hot Strip Roughing Mills Based on Machine Learning Regression. ESAFORM2026: MS12: Advanced Numerical and AI Strategies for Material Forming, 2026, submitted.

Haupts, P.; Al Joumaa, H.; Al-Shrouf, L; Jelali, M.: A Comparison of Feature Engineering and Representation Learning for Multiclass Dye Penetrant Defect Classification on Centrifugally Cast Steel Tubes. NDT&E International, 2026, submitted.

Papadopoulos, K.; Brüninghaus, J.; Jelali, M.: Detection of low-density foreign objects in confectionery products using sub-terahertz technology. Journal of Food Measurement and Characterization, 2026.[LINK]

Polke, D.; Ahle, E.; Söffker, D.: Adaptive Learning with Gaussian Process Regression: A Comprehensive Review of Methods and Applications. MDPI Machine Learning and Knowledge Extraction (MAKE), 2026.[LINK]

Polke, D.; Kösters, T.; Ahle, E.; Söffker, D.: Polynomial Chaos Expanded Gaussian Process. MDPI Machine Learning and Knowledge Extraction (MAKE), 2026.[LINK]

Rastin, Z.; Söffker, D.: Advanced evaluation of classifiers using a probability of detection approach for reliable human driver lane changing prediction. Machine Learning with Applications, 2026, submitted.

Rastin, Z.; Söffker, D.: Probability of Detection-Based Optimization of Machine Learning Classifiers. Reliability Engineering and System Safety, 2026, submitted.

Rastin, Z.; Söffker, D.: A multi-parameter POD approach for advanced evaluation and reliability-based optimization of machine learning classifiers in structural health monitoring. Structural Control and health monitoring, 2026, submitted.

Salighe, S.; Söffker, D.: Model-Free Adaptive Control of Discrete-Time Nonlinear Systems with Embedded Multi-Model Framework: Predictive Approach. IEEE Transactions on Industrial Informatics, 2026, Accepted.

Shyshova, O.; Abdelbary, A.; Söffker, D.: Human-AI Teaming for reliable decision-making under time pressure: an experimental workflow analysis. Computers in Industry, Special Issue "Human-AI Symbiosis in Industrial Decision-Making, Automation, and Work Environments", 2026, submitted.

Yeboah M. K.; Asiedu, N. Y.; Söffker, D.; Addo, A.: Grey-box modeling framework for consolidated bioprocessing systems: An endpoint estimation approach. Bioresources and Bioprocessing, Springer, 2026.[LINK]

Yeboah M. K.; Söffker, D.: Consolidated Bioprocessing of Lignocellulosic Biomass: A Review of Experimental Advances and Modeling Approaches. Bioresources and Bioproducts Journal in MDPI, 2026.[LINK]

Aliberti, L.; Perfetto, D.; D'Aniello, G.; Gaeta, M.; Söffker, D.: Integrating Situation Awareness into Intelligent Recommender Systems. 2026 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), Tempe, Arizona, Mar 9-12, 2026, accepted.[LINK]

Benrabia, I.; Söffker,D.: Physics-Informed Deep Learning and Rule-Based adjustment PIDL-RB for online Building Energy Management System: A Comparative Study. 2026 European Control Conference (ECC), Reykjavik, Iceland, 2026, submitted.

Diepers, F.; Ahle, E.; Söffker, D.: GP-based Offset-free MPC using Disturbance Models and MHE. 2026 European Control Conference (ECC), Reykjavik, Iceland, 2026, submitted.

Donandt, K.; Benrabia, I.; Zentari, L.; Söffker, D.: Social-physics-inspired neural ship trajectory prediction. IEEE International Conference on Autonomous and Trusted Computing , Rende, Italy, Sep, 7-11, 2026, submitted.

Haupts, P.; Jelali, M.: Spatial Quality Description as a Basis for Quality Prescription in Centrifugal Casting. 2026 20th CIRP Conference on Intelligent Computation ind Manufacturing Engineering, Ischia, Italy, July 8-10, 2026, submitted.

Haupts, P.; Jelali, M.: A Reference Architecture for Closed-Loop Predictive Quality Control under Limited Process Observability: A Centrifugal Casting Case Study. 2026 12th IEEE International Conference on Control, Decision, and Information Technologies, Bari, Italy, July 13-16, 2026, submitted.

Haupts, P.; Pose, S.; Jelali, M.: Deep Learning-Supported Automated Evaluation of Dye Penetrant Inspection Results in Compliance with EN 1371-1 and ASME Section VIII. 2026 14th European Conference on Non-Destructive Testing, Verona, Italy, June 15-19, 2026, submitted.

Liebeton, J.; Chooah, R; Söffker, D.: Modeling of reduced-order mechanical structures describing Lamb wave behavior in CFRP plates using an untypical machine learning training approach. 12th European Workshop on SHM, Toulouse, France, July 7-10, 2026, submitted.

Liebeton, J.; Rastin, Z; Söffker, D.: Advanced POD-Based Evaluation of Load-Dependent Performance in Machine Learning Damage Diagnosis. European Safety and Reliability Conference (ESREL), Braga, Portugal, June 14-19, 2026, submitted.

Liebeton, J.; Selvaraj, S; Söffker, D.: Mechanisms in CFRP Composites. 2nd Latin-American Workshop on Structural Health Monitoring, Santiago, Chile, January 7-9, 2026, accepted.

Liebeton, J.; Selvaraj, S; Söffker, D.: A Steady-State Approach to Analyzing Lamb Wave Boundary Interactions in CFRP. 12th European Workshop on SHM, Toulouse, France, July 7-10, 2026, submitted.

Liebeton, J.; Söffker, D.: Acoustic Emission-based Differentiation of Concurrent Damage. 2nd Latin-American Workshop on Structural Health Monitoring, Santiago, Chile, January 7-9, 2026, accepted.

Polke, D.; Ahle, E.; Söffker, D.: Data-Driven Modeling Frameworks for Industrial Cyber-Physical Systems: A Systematic Review. 9th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), Perth, Australia, 11.-14. May, 2026.[LINK]

Polke, D.; Ahle, E.; Söffker, D.: Bayesian Active Learning with Polynomial Chaos Expanded Gaussian Process. 2026 3rd IEEE International Conference on Artificial Intelligence, Computer, Data Sciences and Applications, Boracay Island, Philippines, 5-7 February, 2026.[LINK]

Polke, D.; Surjana, A.; Hoseini, S.; Wagner L.; Göttert, J.; Quix, C.; Ahle, E.: Development of an Automation Framework for Data-Driven Modeling and Adaptive Learning in Industrial Processes. 9th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), Perth, Australia, 11.-14. May, 2026.[LINK]

Polke, D.; Wulf, B.; Ahle, E.; Söffker, D. : Fully Bayesian Anisotropic Polynomial Chaos Expanded Gaussian Process for Active Learning. 2026 13th International Conference on Soft Computing & Machine Intelligence (ISCMI), Vienna, Austria, 18.-20. November, 2026, 1-10, submitted.

Rastin, Z.; Söffker, D.: Fundamentals and Developments in Probability of Detection Approaches for Reliability Assessment of Engineering System. IEEE ATC, Rende, Italy, 2026, submitted.

Salighe, S.; Söffker, D.: A Multi-Model Approach to Model-Free Adaptive Predictive Control for Discrete Nonlinear Systems Subject to Measurement Noise. 24nd European Control Conference (ECC26), 2026, accepted.

Söffker, D.; Shyshova, O.: Beyond the Ethical Compass: Reliability Challenges in Adaptive Human-AI Teaming. European Safety and Reliability Conference (ESREL), Braga, Portugal, June 14-19, 2026, published.

Surjana, A.; Ahle, E.; Söffker, D.: Practical Stability of Event-Based Cloud NMPC with Tube Feedback and Windowed Transfer. 2026 IEEE 9th International Conference on Industrial Cyber-Physical Systems (ICPS), Perth, Australia, May 11-14, 2026.[LINK]

Wulf, B.; Polke, D.; Ahle, E.; Söffker, D. : Non-stationary Input Dependency Identification via Anisotropic Chaos Expanded Gaussian Processes. 2026 13th International Conference on Soft Computing & Machine Intelligence (ISCMI), Vienna, Austria, 18.-20. November, 2026, 1-8, submitted.

Zeno, M.; Söffker, D.: Balancing Nutrient Cycles in Aquaponic Systems: Population-Based Control of Plants to Reduce Water Exchange and External Nitrate Supply. 23rd IFAC World Congress, Busan, Korea, August 23-28, 2026, submitted.