Ali, A. M.; Moulik, B.; Söffker, D.: Intelligent Real-time Power Management of Multi-Source HEVs based on Driving State Recognition and Offline Optimization. IEEE Transactions on Intelligent Transportation Systems, Vol. 24, No. 1, 2023, pp. 247-257.[PDF][LINK]

David, R.; Söffker, D.: A review on Machine Learning-based models for lane changing behavior prediction and recognition. Frontiers-Future Transportation, Lausanne, Switzerland, Vol. 4, 2023.[PDF][LINK]

He, C.; Söffker, D.: Quantification of human behavior levels by extending Rasmussen's SRK model and the effects of time pressure and training on the levels switching. Heliyon, 9(4), 2023.[PDF][LINK]

He, C.; Söffker, D.: Data driven-based human reliability analysis for individualized performance with different data clustering approaches for dynamical changing situations. Heliyon, 2023, submitted.

Kipchirchir, E.; Do, M. H.; Njiri, J. G.; Söffker, D.: Prognostics-based adaptive control strategy for lifetime control of wind turbines. Wind Energy Science Journal, 2023, pp. 575Ð588.[PDF][LINK]

Kipchirchir, E.; Do, M. H.; Njiri, J. G.; Söffker, D.: Adaptive robust observer-based control for structural load mitigation and speed regulation in commercial wind turbines. IEEE Access, 2023.[LINK]

Pham, H. A.; Söffker, D.: Vibration Reduction of Flexible Structures using Model-Free Adaptive Control Algorithms. IEEE Access, 2023, submitted.

Bakhshande, F.; Kahar, H.; Söffker, D.: Modeling and control of chaotic jumping of an inverted flexible pendulum system. ASME IDETC , Boston, USA, August 20-23rd, 2023, accepted.

Bakhshande, F.; Spiller, M.; Hering, J.; Söffker, D.: Computationally efficient neural network-based model predictive control for real-time implementation . ASME IDETC , Boston, USA, August 20-23rd, 2023, accepted.

Bejaoui, A.; Gadhavi, P.; Shyshova, O.; Söffker, D.: Integration of human factors-related knowledge into decision support systems applied to assisted and automated operating vehicles using examples for inland vessels . European Conference on Safety and Reliability (ESREL), Southampton, United Kingdom, 2023.[PDF][LINK]

Bejaoui, A.; Söffker, D.: Situated and sequential planning and prediction of human driving behavior as decision making support system. 13th Cognitive and Computational Aspects of Situation Management COGSIMA, Philadelphia, 2023.[LINK]

Bejaoui, A..; Söffker, D.: Situated and event discrete decision making support system applied to remotely operated vehicles. 33rd European Safety and Reliability Conference, Southampton, 2023.[PDF][LINK]

Benrabia, I.; Söffker, D.: Modeling and evaluation of dynamical properties of different energy storage systems using machine learning methods. IEEE Vehicle Power and Propulsion (VPPC), Milan, Italy, October 24-27, 2023, pp. 1-6.[LINK]

Boschmann, W.; Söffker, D.: Quantification of reliable detection range using lidar-based object detection approaches and varying process parameters. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Honolulu, Oahu, HI, USA, 2023, pp. 2838-2843.[LINK]

Boschmann, W.;Bakhshande, F.; Söffker, D.: Complementary object detection: Improving reliability of object candidates using redundant detection approaches. ESREL, Southampton, 2023, 225-232.[PDF][LINK]

David, R.; Söffker, D.: Comparison of Different Hyperparameter Optimization Methods on Driving Behavior Recognition. 13th Cognitive Situation Management (CogSIMA) conference, 2023.[LINK]

David, R.; Söffker, D.: A modified Hidden Markov Model (HMM)-based state machine model for driving behavior recognition: Effectiveness of features using different sub-HMMs . 13th Cognitive Situation Management (CogSIMA) conference, 2023.[LINK]

David, R.; Söffker, D.: A state machine-based approach for estimating the capacity loss of Lithium-Ion Batteries. 15th Annual Conference of the Prognostics and Health Management Society, 2023.[PDF][LINK]

Diepers, F.; Polke, D.; Ahle, E.; Söffker, D.: Comparison of Different Gaussian Process Models and Applications in Model Predictive Control. 23rd IEEE International Conference on Control, Automation and Systems (ICCAS), Yeosu, South Korea, 2023, pp. 54-59.[LINK]

Donandt, K.; Böttger, K.; Söffker, D.: Improved context-sensitive transformer model for inland vessel trajectory prediction. IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, Sep, 24-28, 2023, pp. 5903-5908.[LINK]

Donandt, K.; Söffker, D.: Spatial and social situation-aware transformer-based trajectory prediction of autonomous systems. IEEE International Conference on Systems, Man, and Cybernetics (SMC), Honolulu, Oahu, HI, USA, Oct, 1-4, 2023, pp. 4488-4493.[LINK]

Gerz, F.; Al-Shrouf, L.; Jelali, M.: A Comparative Analysis of Concept Drift Detection Methods with a Systematic and Innovative Approach of Method Selection. in: Proc. of the: 14th International Workshop on Structural Health Monitoring (IWSHM), Stanford University, Stanford, CA, 12.-14.09., 2023, pp. 1571-1578.[LINK]

Katepalli, B.; Moulik, B.; Ali, A. M.; Söffker, D.: An Eco-Driving Technique for Energy Aware Driving With an Electric Vehicle. International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), Greater Noida, India, Nov, 3-4 , 2023, pp. 493-498.[PDF][LINK]

Kipchirchir, E.; Bakhshande, F.; Söffker, D.: A µ-Synthesis Approach for Robust Control of Wind Turbines. ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference 2023 (IDETC-CIE 2023), Boston, Massachusetts, August 20-23, 2023, accepted.

Liebeton, J.; Söffker, D.: Experimental analysis of ultrasonic wave's reflection behavior at material boundaries. Latam-SHM 2023, Cartagena de Indias, Colombia, December 5-8, 2023.[PDF][LINK]

Liebeton, J.; Soon, S.; Söffker, D.: Improving the diagnostic reliability of AE-based failure mode detection and distinction in CFRP. European Safety and Reliability Conference (ESREL), Southampton, United Kingdom, September 4-8, 2023.[PDF][LINK]

Neugebauer, J.; Reckers, L.; Qi, Y.; Zydeck, M.; Theilen, L.; Söffker, D.; el Moctar, O.: Sloshing-Induced Impact Loads and Free Surface Elevation in a Pool in Waves. 33rd International Ocean and Polar Engineering Conference, Ottawa, Canada, 2023.[LINK]

Owino, L., Söffker, D.: Dynamic Water Stress Threshold Determination for Precision Deficit Irrigation Control using Progressive Clustering Approach. IFAC World Congress 2023, Yokohama, Vol. 56(2), 2023, pp: 5287-5292.[PDF][LINK]

Polke, D.; Surjana, A.; Diepers, F.; Ahle, E.; Söffker, D.: Development of a Modular Automation Framework for Data-Driven Modeling and Optimization of Coating Formulations. 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) , Sinaia, Romania, 01. Aug, 2023, pp. 1-8.[LINK]

Salighe, S.; Trivedi, N.; Bakhshande, F.; Söffker, D.: Decoupled model-free adaptive control of a nonlinear MIMO system: An experimental comparison of approaches applied to a three-tank system. ASME IDETC , Boston, USA, August 20-23rd, 2023, accepted.

Zydeck, M., Bakhshande, F.; Söffker, D.: Neural network-based structured mpc: A model predictive control approach. ASME IDETC-2023, Boston, 2023, accepted.

Bejaoui, A., Boschmann, W., Donandt, K., Shyshova, O., Thind, N. S., Söffker, D. : Addressing safety and reliability in autonomous inland shipping. Autonomous Inland and Short Sea Shipping Conference (AISS), Duisburg, Germany, Sep, 5-6, 2023.[LINK]

Sagheer, S., Donandt, K., Bernath, A., Ehret, U. : Hybrid Transformer-CNN model with spatial awareness for inland vessel trajectory prediction. Autonomous Inland and Short Sea Shipping Conference (AISS), Duisburg, Germany, Sep, 5-6, 2023.[LINK]

Söffker, D.: Predicting and assistance of human decision behaviors ... and more. KS Workshop (Prof. A. Schulte), University of the Armed Forces, Munich, Neubiberg, April 4th, 2023.

Söffker, D.: Predicting and assistance of human decision behaviors. DLR Institute of Flight Dynamics and Simulation, Braunschweig, Germany, Dec. 20th, 2023.

Zydeck, M.; Söffker, D.: Machine learning-based prediction of the free fluid surface motion within a partially filled LNG container under consideration of vessel-based external roll excitations. AISS, Duisburg, 2023.