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<\/figure>Univ.-Prof.<\/abbr> Dr.<\/abbr> habil.<\/abbr> Ricardo B\u00fcttner<\/strong>, Chaired Professor<\/p>\n\n\n\n Author of more than 180 peer-reviewed journal and conference publications (including 51 with A\/A* ranking according to VHB, ABDC, CORE); 21 international Best Paper, Best Reviewer, and Service Awards and nominations. Successfully conducted 26 research projects (> 10 million Euro funding from BMFTR, BMWE, federal states, foundations, and industry).<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a> | buettner@hsu-hh.de<\/a> | +49 40 6541 2899 Luca Eisentraut, M.Sc.<\/abbr><\/strong>, Research Associate and Doctoral Student<\/p>\n\n\n\n My research focuses on developing innovative machine learning methods, particularly in image processing and security applications. With an interdisciplinary background, I am especially interested in the interface between technical and economic research questions. My previous work includes methods for quality control in industrial processes and medical image analysis. At HSU<\/abbr>, I primarily conduct research on technologies, opportunities, and risks associated with deepfakes, especially in security-related contexts.<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a> | eisentraut@hsu-hh.de<\/a> | +49 40 6541 3943<\/p>\n<\/div><\/div>\n\n\n\n Leopold Fischer-Brandies, M.Sc.<\/abbr><\/strong>, Research Associate and Doctoral Student<\/p>\n\n\n\n My research area encompasses the investigation and development of machine learning methods (particularly in the field of deep learning) and their practical application. Further research interests lie in the development and application of agent-based systems and language models.<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a> | fb@hsu-hh.de<\/a> | +49 40 6541 3938<\/p>\n<\/div><\/div>\n\n\n\n Walter K\u00f6hn, M.Sc.<\/abbr><\/strong>, Research Associate and Doctoral Student<\/p>\n\n\n\n My research primarily focuses on the development and application of modern methods of time series analysis. Based on my background in finance, I focus on applying machine learning methods to identify complex time-dependent patterns in economic and financial data. My other research interests lie in the field of image classification and segmentation for security-relevant systems.<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a> | koehn@hsu-hh.de <\/a> | +49 40 6541 4525<\/p>\n<\/div><\/div>\n\n\n\n Felix Waigner, M.Sc.<\/abbr><\/strong>, Research Associate and Doctoral Student<\/p>\n\n\n\n My research focuses on the development and application of modern deep learning methods, covering areas such as computer vision, natural language processing, large language models, and time series analysis, as well as modern model architectures, particularly transformer architectures. Building on a strong computer science background from both academic training and industry experience, I pursue a technically rigorous and methodologically grounded approach with the goal of developing robust, efficient, and practical AI systems and transferring current research advances into real-world application scenarios.<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a> | felix.waigner@hsu.hamburg<\/a><\/p>\n<\/div><\/div>\n\n\n\n Lukas Pasold M.Sc.<\/abbr><\/strong>, Research Associate and Doctoral Student<\/p>\n\n\n\n My research interests lie in the development and application of modern machine learning methods, particularly in deep learning and multimodal learning. I am especially interested in approaches that combine different data modalities and features to enable more robust, context-sensitive, and intelligent systems. Further interests include multimodal reasoning and the development of reliable AI systems, especially in security-related contexts.<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a> <\/p>\n<\/div><\/div>\n\n\n\n Moritz Winklmair M.Sc.<\/abbr><\/strong>, Research Associate and Doctoral Student<\/p>\n\n\n\n My research interests lie in the development and application of modern deep learning methods, including computer vision, time series analysis, and multimodal learning. Drawing on a background in business informatics, digitalization, and applied data science, I am particularly interested in real-world application scenarios and human-AI collaboration, where AI systems are designed to effectively complement human capabilities.<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a> <\/p>\n<\/div><\/div>\n\n\n\n Johanna Hosch, M.Sc.<\/abbr><\/strong>, CYBEX GmbH<\/abbr>, External Doctoral Student<\/p>\n\n\n\n My research focuses on deep learning-based methods for medical image processing with an emphasis on precise classification, robustness, and the further development of diagnostic analysis pipelines. Another focus is on the optimisation of industrial processes, in particular through powerful ML models for increasing efficiency, process monitoring, and quality improvement in automated workflows.<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a><\/p>\n<\/div><\/div>\n\n\n\n Christian Woesle, M.Systems Eng.<\/strong>, CrowdStrike, External Doctoral Student<\/p>\n\n\n\n My research focuses on analyzing the current state of AI technology in existing and emerging AI systems, to clearly classify these systems and identify possible degrees of similarity. Based on this, further research is needed to identify and address problem areas, particularly regarding the misuse of AI, bias in AI systems, and safety concerns. My objective is to advance both theoretical knowledge and practical implementation based on real-world use cases.<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a> | woeslec@hsu-hh.de<\/a><\/p>\n<\/div><\/div>\n\n\n\n Norbert M\u00f6nks, M.Sc.<\/abbr>, MBA<\/strong>, BMW AG, External Doctoral Student<\/p>\n\n\n\n My research focuses on analyzing current and future developments in AI technologies, their applications, and their associated challenges. A central aspect of my work is identifying and implementing solutions to existing problems. In particular, I focus on security aspects, such as reducing the potential for misuse and minimizing bias in AI systems, as well as on the impact of AI on sustainability. Alongside theoretical work, I place strong emphasis on the practical implementation of the developed approaches.<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a> | moenksn@hsu-hh.de<\/a><\/p>\n<\/div><\/div>\n\n\n\n Justin Hoffmann, M.A.<\/strong>, Officer, External Doctoral Student<\/p>\n\n\n\n My research interests lie in advancing the System Dynamics approach through hybrid intelligence. By employing artificial intelligence techniques, particularly large language models, I explore new opportunities for modularization and for improving the accessibility of this approach. The goal of my research is to develop novel practical applications for model-based decision support in order to address the existing and future challenges of an increasingly dynamic and complex environment more efficiently and effectively. In addition, my research focuses on machine learning and deep learning.<\/p>\n\n\n\n <\/a>www.hsu-hh.de\/ai<\/a> |<\/a> hoffmanj@hsu-hh.de<\/a> <\/p>\n<\/div><\/div>\n\n\n\n Yannic Reidel-Tchang, M.Sc.<\/abbr>, MBA<\/strong>, F\u00dcR SIE eG, External Doctoral Student<\/p>\n\n\n\n My research interests lie in the development and application of advanced deep learning methods. Given my experience in the field of security, my work focuses in particular on the analysis and design of security-relevant application scenarios and on the robust and reliable use of AI systems. A central focus is on further developing these systems in terms of reliability, transparency, and practical applicability to ensure their responsible use in security-critical contexts. In addition, I focus on optimizing segmentation techniques and object recognition methods.<\/p>\n\n\n\n <\/a>www.hsu-hh.de\/ai<\/a> |<\/a> reidelty@hsu-hh.de<\/a><\/p>\n<\/div><\/div>\n\n\n\n Celina Rieck, B.A.<\/strong>, Research Assistant<\/p>\n\n\n\n My interest is in the integration of learning systems into clinical and psychological contexts, particularly in the areas of prevention and personality research. The central focus lies on the analysis and evaluation of AI-assisted diagnostic and decision-making processes, as well as their ethical, security-related, and societal implications.<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a> | celina.rieck@hsu-hh.de<\/a><\/p>\n<\/div><\/div>\n\n\n\n Susan Bertram, B.A.<\/strong>, Research Assistant<\/p>\n\n\n\n My research interest is the integration of AI systems into infrastructural and security-related application contexts. The focus here is on developing robust and generalizable systems, and on the question of how architectural design and training data influence the resilience of deep learning models against various disturbances and complex conditions.<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a> | susan.bertram@hsu-hh.de<\/a><\/p>\n<\/div><\/div>\n\n\n\n Paul Wefelscheid, B.Sc.<\/strong>, Research Assistant<\/p>\n\n\n\n My research interests lie in the development and use of modern machine-learning approaches for the analysis of complex economic and historical datasets. The focus is on identifying time-dependent patterns in financial and economic data as well as on applying image-analysis and deep-learning methods in data-intensive research and application contexts.<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a> | paul.wefelscheid@hsu-hh.de<\/a><\/p>\n<\/div><\/div>\n\n\n\n Clara-Sophie Grassel<\/strong>, Research Assistant<\/p>\n\n\n\n My research interests focus on the integration of artificial intelligence into financial and economic decision-making processes. In particular, I explore how data-driven models can enhance the efficiency of existing analytical, forecasting, and administrative workflows. In addition, I work on the application of object detection methods for the automated analysis of visual data in data-intensive research and applied settings.<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a> | grasselc@hsu.hamburg<\/a><\/p>\n<\/div><\/div>\n\n\n\n Hannes K\u00f6hler<\/strong>, Research Assistant<\/p>\n\n\n\n My research interests lie in the field of image detection and classification by using CNN. Specifically, I am interested in designing complex software architectures to increase the accuracy of such systems. Furthermore, I investigate collaboration settings of human and AI, where I focus on associated risks.<\/p>\n\n\n\n www.hsu-hh.de\/ai<\/a> | hannes.koehler@hsu-hh.de<\/a><\/p>\n<\/div><\/div>\n\n\n\n Alumni:<\/p>\n\n\n\n Alumni:<\/p>\n","protected":false},"author":26,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[9],"tags":[],"class_list":["post-110","page","type-page","status-publish","hentry","category-team-en"],"_links":{"self":[{"href":"https:\/\/www.hsu-hh.de\/ai\/wp-json\/wp\/v2\/pages\/110","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hsu-hh.de\/ai\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.hsu-hh.de\/ai\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/ai\/wp-json\/wp\/v2\/users\/26"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/ai\/wp-json\/wp\/v2\/comments?post=110"}],"version-history":[{"count":39,"href":"https:\/\/www.hsu-hh.de\/ai\/wp-json\/wp\/v2\/pages\/110\/revisions"}],"predecessor-version":[{"id":1182,"href":"https:\/\/www.hsu-hh.de\/ai\/wp-json\/wp\/v2\/pages\/110\/revisions\/1182"}],"wp:attachment":[{"href":"https:\/\/www.hsu-hh.de\/ai\/wp-json\/wp\/v2\/media?parent=110"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/ai\/wp-json\/wp\/v2\/categories?post=110"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/ai\/wp-json\/wp\/v2\/tags?post=110"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
Secretariat: Hr. Tamm | jonas.tamm@hsu-hh.de<\/a> | +49 40 6541 3942<\/p>\n<\/div><\/div>\n\n\n\n
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