Eine durchgängige und werkzeuggestützte Entwicklungsumgebung für eingebettete Hardware/Software Systeme. - Benjamin Lutz; Christian Köllner; Klaus D. Müller-Glaser (MBMV, 2008)

Approach for integrated simulation based on plant engineering data. - Mathias Oppelt; Oliver Drumm; Benjamin Lutz; Gerrit Wolf (ETFA, 2013)

eSBMTools 1.0: enhanced native structure-based modeling tools. - Benjamin Lutz; Claude Sinner; Geertje Heuermann; Abhinav Verma; Alexander Schug (Bioinform., 2013)

Integration of eSBMTools into the MoSGrid Portal Using the gUSE Technology. - Stefan Bozic; Jens Krüger 002; Claude Sinner; Benjamin Lutz; Alexander Schug; Ivan Kondov (IWSG, 2014)

Native structure-based modeling and simulation of biomolecular systems per mouse click. - Benjamin Lutz; Claude Sinner; Stefan Bozic; Ivan Kondov; Alexander Schug (BMC Bioinform., 2014)

Student attitudes about diversity: "If the field of engineering were more diverse, what would that mean for you?". - Ashley Taylor; Raeven Waters; Sreyoshi Bhaduri; Benjamin Lutz; Walter C. Lee (FIE, 2017)

Evaluation of Deep Learning for Semantic Image Segmentation in Tool Condition Monitoring. - Benjamin Lutz; Dominik Kißkalt; Daniel Regulin; Raven Reisch; Andreas Schiffler; Jörg Franke (ICMLA, 2019)

Creating coupled-multiple response test items in physics and engineering for use in adaptive formative assessments. - Laura Rios; Benjamin Lutz; Eileen Rossman; Christina Yee; Dominic Trageser; Maggie Nevrly; Megan Philips; Brian Self (FIE, 2020)

Distance-Based Multivariate Anomaly Detection in Wire Arc Additive Manufacturing. - Raven Reisch; Tobias Hauser; Benjamin Lutz; Matteo Pantano; Tobias Kamps; Alois C. Knoll (ICMLA, 2020)

Automated Domain Adaptation in Tool Condition Monitoring using Generative Adversarial Networks. - Benjamin Lutz; Dominik Kißkalt; Daniel Regulin; Burak Aybar; Jörg Franke (CASE, 2021)

Semantic Segmentation of Multi-Channel Polycrystalline Structure Micrographs Using Convolutional Neural Networks. - Andreas Selmaier; Benjamin Lutz; Dominik Kißkalt; Simon Börnicke; Jens Fürst; Jörg Franke (ICMLA, 2021)

Material Identification for Smart Manufacturing Systems: A Review. - Benjamin Lutz; Dominik Kißkalt; Daniel Regulin; Tobias Hauser; Jörg Franke (ICPS, 2021)

In-situ identification of material batches using machine learning for machining operations. - Benjamin Lutz; Dominik Kißkalt; Andreas Mayr; Daniel Regulin; Matteo Pantano; Jörg Franke (J. Intell. Manuf., 2021)

Influence of task decision autonomy on physical ergonomics and robot performances in an industrial human-robot collaboration scenario. - Matteo Pantano; Qiaoyue Yang; Adrian Blumberg; Raven Reisch; Tobias Hauser; Benjamin Lutz; Daniel Regulin; Tobias Kamps; Konstantinos Traganos; Dongheui Lee (Frontiers Robotics AI, 2022)