Bejaoui, A.; Söffker, D.: Behavior planning and prediction based on action spaces applied to human-guided vehicle systems. IEEE Access, 2024, submitted.

Kipchirchir, E.; Liebeton, J.; Söffker, D.: A hybrid prognosis approach for robust lifetime control of wind turbines. IEEE Access, 2024, submitted.

Kipchirchir, E.; Söffker, D.: IPC-based Robust Disturbance Accommodating Control for Load Mitigation and Speed Regulation of Wind Turbines. Wind Energy Journal, 2024.[PDF][LINK]

Tanshi, F.; Söffker, D.: A quantitative model of takeover request time budget for conditionally automated driving. IEEE Access, 2024, submitted.

Liebeton, J.; Söffker, D.: Detectability of damages in CFRP using Acoustic Emission. 16th Annual Conference of the Prognostics and Health Management Society, Nashville, Tennessee, USA, June 10-13, 2024, submitted.

Liebeton, J.; Zydeck, M.; Söffker, D.: Modeling of reduced-order mechanical structures describing Lamb wave behavior in CFRP plates using an untypical machine learning training approach. European Workshop on Structural Health Monitoring (EWSHM), Potsdam, Germany, November 10-15, 2024, submitted.

Liebeton, J.; Zydeck, M.; Söffker, D.: Experimental-based improvement of Lamb wave modeling and simulation. 16th Annual Conference of the Prognostics and Health Management Society, Nashville, Tennessee, USA, June 10-13, 2024, submitted.

Polke, D.; Kösters, T.; Ahle, E.; Söffker, D.: Polynomial Chaos Expanded Gaussian Process. 41st International Conference on Machine Learning (ICML), Vienna, Austria, 2024, submitted.

Rastin, Z.; Söffker, D.: POD-Based Performance Evaluation of Classifiers Applied to Lane-Changing Behavior Prediction. PHM, 2024, submitted.

Shyshova, O.; Boschmann, W.; Söffker, D.: Risk-Based Analysis of Autonomous System Guidance of Inland Waterway Vessels . ESREL 34th European Safety and Reliability Conference, Cracow, Poland, June 23-27, 2024, accepted.

Shyshova, O.; Gadhavi, P.; Tenzer, M.; Söffker, D.: Preparation times: An experimental-based discussion about limits for take over in highly automated systems. 2024 IEEE Conference on Cognitive and Computational Aspectsof Situation Management (CogSIMA), Montreal, Canada, May 7-10, 2024, accepted.

Shyshova, O.; Gadhavi, P.; Tenzer, M.; Tanshi, F.; Söffker, D.: Takeover time: Requirements for highly automated inland vessels: First experimental-based results. IEEE ICHMS, 4th IEEE International Conference on Human-Machine Systems, Toronto, Canada, May 15-17, 2024, accepted.

Shyshova, O.; Söffker, D.: Framework for online reliability calculation of autonomous system guidance of inland waterway vessels. 16th Annual Conference of the Prognostics and Health Management Society (PHM), Nashville, Tennessee, USA, November 10-15, 2024, submitted.

Surjana, A.; Ahle, E.; Söffker, D.: Application of Event-based Cloud NMPC with Time Delay Compensation. ICPS2024, 2024, accepted.

Salighe, S.; Söffker, D.:  Model complexity optimization of equivalent dynamical linearization data models used in model-free adaptive control based on bias/variance trade-off. GAMM Fachausschuss "Dynamik und Regelungstheorie", Berlin, Germany, Februrary 5-6, 2024.