Publications SRS
In accordance with the well known and accepted rule in the engineering field, the author sequence of all publications (1989 to present) is related to the FLAE system (first-last-author-emphasis system).
2026 |
Journal- and book contributions |
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]
Referenzierbare und mehrfach referierte Konferenzbeiträge |
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.
Weitere Konferenzbeiträge |
Vorträge/Sonstiges |