Leitung von Verbundprojekt: Perspektive Arbeit Lausitz -Kompetenzzentrum für die Arbeit der Zukunft in Sachsen und Brandenburg (PAL); Teilprojekt: Gestaltung und Bewertung ergonomischer hybrider Arbeitssysteme mittels interpretierbarer KI-Modelle und Mensch-Roboter-Interaktion gefördert von Karlsruher Institut für Technologie 2021 - 2026 Verbundprojekt: Al40D - Embedded Integration von Verfahren der Künstlichen Intelligenz für eine verbesserte Objekterkennung im automatisierten Fahren; Teilvorhaben: KI Entwicklung gefördert von Bundesministerium für Wirtschaft und Klimaschutz 2021 - 2023
ausgewählte Veröffentlichungen Journalartikel Quantum Computing Approaches for Vector Quantization— Current Perspectives and Developments. Entropy. 540. 2023 Quantum-Hybrid Neural Vector Quantization – A Mathematical Approach. Artificial Intelligence and Soft Computing 2021. 246-257. 2021 Quantum-inspired learning vector quantizers for prototype-based classification. Neural Computing and Applications. 2020 Konferenzpaper Efficient Representation of Biochemical Structures for Supervised and Unsupervised Machine Learning Models Using Multi-Sensoric Embeddings. Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOINFORMATICS. 59-69. 2023 Entwicklungsansatz eines datenbasierten Assistenzsystems zur dynamischen Ergonomiebewertung. Scientific Reports 2023, Entwicklung hybrider Arbeitssysteme. 6-10. 2023 Multilayer Perceptrons with Banach-Like Perceptrons Based on Semi-inner Products – About Approximation Completeness. Artificial Intelligence and Soft Computing. 154-169. 2023 Quantum-ready vector quantization: Prototype learning as a binary optimization problem. ESANN 2023 Proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 257-262. 2023 Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection. ESANN 2023 Proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 65-70. 2023 Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection. ESANN 2023 Proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. 65-70. 2023 Steps Forward to Quantum Learning Vector Quantization for Classification Learning on a Theoretical Quantum Computer. Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization. 63-73. 2022 Quantum Computing for Efficient Learning in Prototype-based Vector Quantization. Scientific Reports 2021, Ökologische Transformation in Technik, Wirtschaft und Gesellschaft?. 137-140. 2021 Konferenzposter Sammelbandbeitrag Quantum-inspired learning vector quantization for classification learning. Proceedings of the 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'2020). 2020
Mitglied bei Sächsisches Institut für Computational Intelligence und Machine Learning (SICIM) Promotionsstudent 2019 -