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John Wiley and Sons (1998-1999), and Mitsubishi Electric (1996-1998). My current research interests cover the broad area of modelling and simulation of socio-technical systems, coordination and intelligent […] modelling and simulation in the area of intelligent transport systems and future connected traffic systems. I served on numerous conference committees in the area of AI, intelligent agents and multi-agent […] Managing Director of the Department of Informatics since 2008, and I am currently the Dean of the Faculty of Mathematics/Computer Science and Mechanical Engineering. I hold a Ph.D. in Computer Science from

Proceedings and Book Chapters: Jan Becker, Alexandra Schwartz, Sonja Steffensen and Anna Thünen: Extensions of Nash Games in Finite and Infinite Dimensions with Applications (Non-Smooth and Complementa […] in Englisch weiter :) Analysis and Computation of Solutions of Continuous Optimization with Discrete Structures. Articles and Preprints: Michael Herty, Sonja Steffensen, and Anna Thünen: Multiscale Control […] Steffensen and Anna Thünen: An Explicit Nash Equilibrium to a Multi‐Leader‐Follower Game (PAMM 2019) Theses: PhD: Analysis and Computation of Equilibria in Multilevel Games with Finitely and Infinitely

towards a sustainable and circular one that addresses the current ecological and social challenges requires a collaborative approach. Therefore, stakeholders across different domains and companies must cooperate […] ecological and social practices. Digital innovations and technologies in association with social development can be viewed in this context as key enabler, allowing interconnectedness over system and domain […] challenges and advance research in this field, we invite researchers to submit their paper to one of the following research fields: Cooperative cyber-physical systems and digital twins for product monitoring

l Conference on Adaptive and Self-Adaptive Systems and Applications ( ISSN: 2308-4146) Geger, Tobias and Briechle, Dominique and Briechle-Mathiszig, Marit and Nyeck, Nelly and Werner, Robert. CollectByCycle: […] Technology Applications. DOI: 10.1145/3674558.3674570 Briechle, Dominique and Briechle-Mathiszig, Marit and Geger, Tobias and Nyeck, Nelly and Werner, Robert. To Refurbish or not to Refurbish? Towards an AI-based […] Conference on Adaptive and Self-Adaptive Systems and Applications, Valencia, Spain, April 6–10, 2025, pp. 16–23. ISBN: 978-1-68558-261-6, ISSN: 2308-4146. D. Briechle, T. Geger, L. Schartow and A. Rausch, " Brick

implementation of GERG2008 EOS and schedule conversion from Eclipse/tNavigator to PFLOTRAN format. Tasks and deliverables: Convert tNavigator gas-reservoir compositional and black-oil model to PFLOTRAN format […] different simulators. Test stability of numerical solution (with higher and lower injection rates, continuous and cyclic injections) and perform runtime sensitivity. Test the thermal options in gas water mode […] CO2-water and HCgas-water relperm tables (including hysteresis) and implementation of GERG2008 EOS. Requirements: Candidate should have good understanding of numerical reservoir simulation and different

topics in the mining industry and mining engineering education that enables us to define new perspectives and take action for the future of mining. The session themes and a motivational quote on each are […] mining needs a makeover. Innovative and creative teaching : Showcase your most innovative and creative practices. Education challenges : Let’s talk about current challenges and trends in education, mining engineers […] the future and how we are addressing this. The emerging workforce : Generational gaps affect the way we teach and how students learn, share successful practices for recruiting, educating and retaining the

extraction and K-Means method to detect and cluster the faults. The research demonstrates the applicability and dependability of the suggested model by the analysis of digital test drive data and real-time […] seiner Arbeit lautet: “Detecting and Clustering Unknown Concurrent faults of Automotive Software Systems under Noisy Conditions based on Hardware-in-the-Loop Tests and Deep Learning Technique“. Abstrakt: […] highlighted by the growing complexity of Automotive Software Systems (ASSs) and the resulting requirement for efficient fault detection and clustering solutions. It is not a long-term solution to rely on human

testing is time-consuming, repetitive, and labor-intensive. This can result in difficulties for project managers and teams in efficiently completing the development and operation process. The objective of […] integration of Jenkins and GitLab into the development process enables the management of automated pipelines, model development, code generation and execution, test execution and reporting. This facilitates […] principles with HIL simulation testing in order to streamline and automate the testing process. This approach ensures the highly efficient development and validation of ECU software in a real-time simulation

PointNet, and 86.0% OA and 64.1% mIoU are collected. In RandLA-Net, the Lemgo_Aula dataset is tested, and the OA is 91.7% and 94.2% in area 8 and 9 individually. The 84.2% mIoU is evaluated for area 8 and 9 at […] dataset are based on area 8 and 9 individually. 82.5% overall accuracy (OA) and 64.8% mean intersection over union (mIoU) are collected from area 8 in Lemgo, and 43.5% OA and 21.8% mIoU are collected from […] development of point cloud semantic segmentation and visualization is made, and the results of this experiment of point cloud semantic segmentation based on PointNet and RandLA-net are also discussed. Visualization

model, and of the shape parameters of the underlying error distribution. The latter is defined by a multivariate, scaled (Student's) t-distribution and involves a data-adaptable degree of freedom and scale […] geodetic measurement processes with data gaps and nonstationary colored noise This research field aims at the development of a unified robust adjustment theory and of corresponding computationally efficient […] algorithms to handle outliers, data gaps, colored noise and cross-correlations within geodetic measurement series simultaneously. Various kinds of stationary and nonstationary Gauss-Markov models are investigated