@misc{Poehlmann, author = {P{\"o}hlmann, Kendra}, title = {Diversity: Important, Fair, and Sustainable - But Often Overlooked in AI Applications}, doi = {10.35096/othr/pub-9015}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-90156}, pages = {1}, abstract = {In the era of digital transformation, the intersection of sustainability and AI has emerged as a critical area of research. My poster delves into the intricate relationship between these two domains, highlighting their potential to shape a more equitable and sustainable future. One significant facet of this is diversity. But diversity, as a vital component of the social dimension of sustainability, is frequently sidelined in the discourse surrounding digitalization and AI, despite its potential to synergize with these technologies in forging a fairer and more sustainable world. Digital solutions frequently lack inclusivity and emancipation, exacerbating disparities in access and opportunity. AI tools, likewise, often perpetuate bias and inequality by being trained on homogeneous datasets, overlooking factors such as gender, ability, and ethnicity. To address this oversight, it is imperative to incorporate diversity and sustainability education into the training of future IT specialists and AI engineers. Developing ethical awareness and the ability to critically reflect on biases within AI systems is essential to avoid reproducing biases and stereotypical thinking. This is why it is imperative to emphasizes the urgency of recognizing diversity as a key enabler of fairness and sustainability within the digital transformation landscape.}, language = {en} } @misc{Poehlmann, author = {P{\"o}hlmann, Kendra}, title = {Diversity: Important, fair, and sustainable - but often overlooked in AI applications}, doi = {10.35096/othr/pub-9017}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-90170}, pages = {18}, abstract = {In the era of digital transformation, the intersection of sustainability and AI has emerged as a critical area of research. My research delves into the intricate relationship between these two domains, highlighting their potential to shape a more equitable and sustainable future. One significant facet of this is diversity. But diversity, as a vital component of the social dimension of sustainability, is frequently sidelined in the discourse surrounding digitalization and AI, despite its potential to synergize with these technologies in forging a fairer and more sustainable world. Digital solutions frequently lack inclusivity and emancipation, exacerbating disparities in access and opportunity. AI tools, likewise, often perpetuate bias and inequality by being trained on homogeneous datasets, overlooking factors such as gender, ability, and ethnicity. To address this oversight, it is imperative to incorporate diversity and sustainability education into the training of future IT specialists and AI engineers. Developing ethical awareness and the ability to critically reflect on biases within AI systems is essential to avoid reproducing biases and stereotypical thinking. This is why my research emphasizes the urgency of recognizing diversity as a key enabler of fairness and sustainability within the digital transformation landscape.}, language = {en} } @misc{Poehlmann, author = {P{\"o}hlmann, Kendra}, title = {Research Based Spin-Offs: Understanding the specifics of Best Performers}, doi = {10.35096/othr/pub-9018}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-90181}, pages = {29}, abstract = {This presentation investigates the success factors of research-based spin-offs, with a particular focus on the differences between best and worst performers. Based on an empirical study of German spin-offs originating from public research institutions, key influencing factors such as team size, degree of innovation, market conditions, and the role of the parent organization are analyzed. The findings indicate that spin-off success is shaped by a combination of entrepreneurial, technological, and contextual factors, and varies depending on the applied performance measure (e.g., growth, financial performance, or technological output). The study provides nuanced insights into the mechanisms of successful knowledge and technology transfer and derives implications for both research institutions and founders.}, language = {en} } @misc{Poehlmann, author = {P{\"o}hlmann, Kendra}, title = {Similarities and Differences of Research-based and Corporate Spin-offs: Theoretical Thoughts, Research Design and Expected Implications}, doi = {10.35096/othr/pub-9019}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-90198}, pages = {26}, abstract = {This presentation explores the similarities and differences between research-based spin-offs and corporate spin-offs, addressing a key gap in the entrepreneurship and innovation literature. While both types of ventures aim at commercializing knowledge and generating economic value, they emerge from distinct institutional contexts and may therefore rely on different success factors. Building on existing research on research-based spin-offs, the study develops a comparative conceptual framework that integrates perspectives from the resource-based view and industrial economics. It examines dimensions such as founder characteristics, motivation structures, knowledge bases, and relationships with parent organizations. The proposed research design aims to systematically contrast both spin-off types and assess the transferability of established success factors. The paper contributes to a more differentiated understanding of spin-off heterogeneity and derives implications for improving commercialization processes in both academic and corporate contexts.}, language = {en} } @misc{KlausmannRueckertRauberetal., author = {Klausmann, Leonard and Rueckert, Tobias and Rauber, David and Maerkl, Raphaela and Yildiran, Suemeyye R. and Gutbrod, Max and Palm, Christoph}, title = {Abstract: DIY Challenge Blueprint}, series = {Bildverarbeitung f{\"u}r die Medizin 2025: Proceedings, German Conference on Medical Image Computing, L{\"u}beck March 15-17, 2026}, journal = {Bildverarbeitung f{\"u}r die Medizin 2025: Proceedings, German Conference on Medical Image Computing, L{\"u}beck March 15-17, 2026}, editor = {Handels, Heinz and Breininger, Katharina and Deserno, Thomas M. and Maier, Andreas and Maier-Hein, Klaus H. and Palm, Christoph and Tolxdorff, Thomas}, publisher = {Springer Vieweg}, address = {Wiesbaden}, doi = {10.1007/978-3-658-51100-5_27}, pages = {131 -- 131}, abstract = {The high cost of challenge platforms prevents many people from organizing their own competitions. The do-it-yourself (DIY) challenge blueprint [1] allows you to host your own biomedical AI benchmark challenge. Our DIY approach circumvents the current constraints of commercial challenge platforms. A sovereign, extensible and cost-efficient deployment is provided via containerised, identity-managed and reproducible pipelines. Focus lies on GDPR-compliant hosting via infrastructure-as-code, automated evaluation, modular orchestration, and role-based identity and access management. The framework integrates Docker-based execution and standardised interfaces for task definitions, dataset curation and evaluation. All in all it is designed to be flexible and modular, as demonstrated in the MICCAI 2024 PhaKIR challenge [2, 3]. In this case study, different medical tasks on a multicentre laparoscopic dataset with framewise labels for phases and spatial annotations for instruments across fulllength videos were supported. This case study empirically validates the DIY challenge blueprint as a reproducible and customizable challenge-hosting infrastructure. The full code can be found at https://github.com/remic-othr/PhaKIR_DIY.}, subject = {Bildverarbeitung}, language = {en} } @misc{KranzPointnerLehleetal., author = {Kranz, Michael and Pointner, Daniel and Lehle, Karla and Lubnow, Matthias and Krenkel, Lars}, title = {High-resolution flow field investigations in membrane lungs, considering the complex blood rheology}, series = {1st European Fluid Dynamics Conference (EFDC1), 16-20.September 2024, Aachen}, journal = {1st European Fluid Dynamics Conference (EFDC1), 16-20.September 2024, Aachen}, doi = {10.35096/othr/pub-8921}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-89214}, pages = {2}, abstract = {Despite major improvements over the last years, coagulative disorders and clotting phenomena in membrane lungs (MLs) are still considerable complications in extracorporeal membrane oxygenation (ECMO). ECMO is an increasingly used treatment for patients with severe respiratory failure or cardiac arrest [1]. For both, evaluation of therapeutic decisions and fundamental research on patient specific intra-device clotting phenomena, the direct visualization and analysis of clot formation in combination with a detailed flow field correlation is highly desirable and therefore an intensively followed research topic. Modelling blood flow and shear induced coagulation in MLs is challenging. The relevant geometry of oxygenator fibers and chaining threads is complex and spans several length scales. In relevant scales and regimes, blood shows several significant non-Newtonian effects. Viscosity impacts shear rate, which is important in several coagulation mechanisms. Additionally, coagulation processes are influencing fluid properties and geometry significantly. Existing approaches of previous research work are only able to consider some, but not all relevant effects and geometrical details. Due to the enormous size of the discretized geometries, highly detailed viscosity and coagulations models are not applicable. Our goal is to develop a model for combined viscosity and coagulation properties of blood flow in MLs. In our work, we compare the influence of different levels of detail of the ML geometry as well as the influence of considering realistic blood flow behavior (viscosity change by considering the local hematocrit distribution within the F{\aa}hraeus-Lindqvist-Effect) on the resulting flow field in relevant subsections of a ML. High-resolution micro-CT geometry reconstructions [1] are compared to idealized generic fiber representations. For realistic blood flow modelling, Newtonian representation is compared to the established Carreau-Yasuda and a multiphase Euler-Euler approach. Results are presented for relevant subsections as well as for the complete ML.}, language = {en} } @misc{KranzWagnerPointneretal., author = {Kranz, Michael and Wagner, Maria Stella and Pointner, Daniel and Waldbauer, Selina and M{\"u}ller, Thomas and Lubnow, Matthias and Foltan, Maik and Krenkel, Lars and Lehle, Karla}, title = {Polymeric Embedding of Membrane Lungs: A Novel Method for Histological Investigations of Intra-Device Clot Formation}, series = {12th EuroELSO Congress, 24-27. April 2024, Krakow}, journal = {12th EuroELSO Congress, 24-27. April 2024, Krakow}, language = {en} } @misc{KoesterKranzWagneretal., author = {K{\"o}ster, Leonie and Kranz, Michael and Wagner, Maria Stella and Foltan, Maik and M{\"u}ller, Thomas and Lubnow, Matthias and Krenkel, Lars and Lehle, Karla}, title = {Histological Investigations of Intra-Device Clot Formation in ECMO Pumps}, series = {12th EuroELSO Congress, 24-27. April 2024, Krakow}, journal = {12th EuroELSO Congress, 24-27. April 2024, Krakow}, language = {en} } @misc{KranzWagnerKrenkeletal., author = {Kranz, Michael and Wagner, Maria Stella and Krenkel, Lars and M{\"u}ller, Thomas and Lubnow, Matthias and Philipp, Alois and Lehle, Karla}, title = {Clot Localization within Membrane Lungs using different Imaging Methods and Histological Clot Characterization as a way to prevent Thrombosis in Extracorporeal Membrane Oxygenation}, volume = {2023}, language = {en} } @misc{MichelKrenkel, author = {Michel, Johanna and Krenkel, Lars}, title = {Experimental Investigation of Shear-Induced Generation of Respiratory Aerosol: Simultaneous Measurements of Particle Quantities and Wave Topology}, series = {2nd European Fluid Dynamics Conference (EFDC2), 26-29 August 2025, Dublin, Ireland}, journal = {2nd European Fluid Dynamics Conference (EFDC2), 26-29 August 2025, Dublin, Ireland}, doi = {10.35096/othr/pub-8859}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:898-opus4-88593}, pages = {1}, abstract = {Despite the high level of attention on infectious respiratory aerosol during the Covid19 pandemic, little is known about the processes how these particles form inside the respiratory system. Understanding the underlying fluid mechanical processes and their influencing factors would enable the development of drugs to suppress the generation of infectious aerosol. In the proposed work, we focus on the shear-induced mechanism of aerosol generation, which is supposed to occur mostly in the larger airways during coughing. In this process, high air velocities trigger Kelvin-Helmholtz waves in the mucus film, which lines the air vessels. Through a series of instabilities, particles detach from the crest of these waves. In the proposed work, we investigate the process of shear-induced aerosol generation in idealized experiments where we vary the air-flow characteristics and the properties of the mucus fluid. Our central aim here is to deduct an empirical model of the quantity and size distribution of generated particles depending on the mucus rheology and the local shear flow. Further, we observe the wave topology to better understand the coupling between the air flow and the waves. In our experimental setup, we measure the quantity of created particles and the emerging waves simultaneously. To ensure controllable conditions, we simplify the complex flow conditions in the airways. We use a rectangular channel with the bottom wall covered in a mucus mimetic. The mucus mimetic fluid is a synthetic hydrogel developed to recreate the viscoelastic properties and low surface tensions of the mucus. Filtered pressurized air is guided through the channel to trigger shear-induced aerosol generation. After passing the mucus mimetic, the air enters into a collection chamber from where particles are sampled continuously by an aerosol spectrometer. To measure wave topology, we use planar laser induced fluorescence. For this, we stain the mucus mimetic with fluorescent dyes and illuminate a line on the surface of the fluid film with a 532 nm laser. A high-resolution camera captures the resulting fluorescent glow of the mucus mimetic. Figure 1 presents exemplary wave topology results from the experiments, employing varying air flow volume rates, mucus mimetic gel properties, and different configurations of the laser and camera. The resulting wave topologies exhibit significant variation. For the conference, we will conduct parameter studies of the particle quantities and wave topology while varying the mucus mimetic properties and the flow rate of the air. Additionally, we will present grid projection-based techniques to extend the single-line wave measurements and asses the entire surface of the mucus film.}, language = {en} }