Projects per year
Personal profile
About me
Born 1972 | MSc (applied math, Johannes Kepler University, Linz, Austria, 1996) | PhD (applied math, Johannes Kepler University, Linz, Austria, 1998) | Habilitation (Johannes Kepler University, Austria, 2003) | Since June 2018: Chief Artificial Intelligence Officer at QUOMATIC.AI (Leonding, Austria; part-time) | Since September 2020: Professor for Artificial Intelligence at University of Applied Sciences Upper Austria (Hagenberg, Austria; main occupation)
Research interests
Machine Learning & Artificial Intelligence in Sales Analytics, Healthcare, and Bioinformatics
Education/Academic qualification
Habilitation
Award Date: 6 Aug 2003
Engineering Sciences, PhD
1 Oct 1996 → 30 Oct 1998
Applied Mathematics, Dipl.-Ing.
1 Oct 1990 → 26 Apr 1996
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Dive into the research topics where Ulrich Bodenhofer is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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VISION - Versatile AI systems for intelligent and optimized NDT processes
Weinberger, P. (PI), Pointecker, F. (CoI), Hastra, C. (CoI) & Bodenhofer, U. (CoI)
01.05.2025 → 30.04.2028
Project: Research Project
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FLARE - Fast and reliable human-centered-AI for high-rate non-destructive evaluation
Mayr, G. (PI), Mayr, G. (CoI), Hanreich, M. (CoI), Zwettler, G. A. (CoI), Zauner, G. (CoI), Hallewell Haslwanter, J. D. (CoI), Nachbagauer, K. (CoI), Bodenhofer, U. (CoI), Grimm, J. L. (CoI) & Brunner, H. (CoI)
Förderungen für Digitalisierung in OÖ
01.03.2025 → 28.02.2027
Project: Research Project
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iReduce - Intelligent interdependency-controlled alarm flood reduction in Critical Infrastructures
Schönböck, J. (PI), Kronberger, G. (CoI), Augstein, M. (CoI), Altmann, J. (CoI), Bodenhofer, U. (CoI), Gassner, C. J. (CoI) & Trajkovska, N. (CoI)
KIRAS Cooperative R&D Projects
01.01.2025 → 31.12.2026
Project: Research Project
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Career Advisory System
Schönböck, J. (PI), Augstein, M. (CoI), Bodenhofer, U. (CoPI), Billensteiner, H. (CoI) & Pimminger, S. (CoI)
01.05.2021 → 31.10.2023
Project: Research Project
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Applying Layer-Wise Relevance Propagation on U-Net Architectures
Weinberger, P., Fröhler, B., Heim, A., Gall, A., Bodenhofer, U. & Senck, S., 2025, Pattern Recognition - 27th International Conference, ICPR 2024, Proceedings. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.-L., Bhattacharya, S. & Pal, U. (eds.). Springer, p. 106-121 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15312 LNCS).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
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Comparison of Super Resolution Machine Learning Network Architectures for Industrial Computed Tomography
Nepelius, L. N., Weinberger, P., Bodenhofer, U., Glinz, J., Fröhler, B., Kastner, J. & Senck, S., 4 Feb 2025.Research output: Contribution to conference › Poster
Open AccessFile11 Downloads (Pure) -
Lipid Ratios for Diagnosis and Prognosis of Pulmonary Hypertension
Bordag, N., Nagy, B. M., Zügner, E., Ludwig, H., Foris, V., Nagaraj, C., Biasin, V., Kovacs, G., Kneidinger, N., Bodenhofer, U., Magnes, C., Maron, B. A., Ulrich, S., Lange, T. J., Eichmann, T. O., Hoetzenecker, K., Pieber, T., Olschewski, H. & Olschewski, A., Jul 2025, In: American Journal of Respiratory and Critical Care Medicine. 211, 7, p. 1264-1276 13 p.Research output: Contribution to journal › Article › peer-review
Open Access9 Citations (Scopus) -
Silverbullet or Mystery Box – LLM-based Soft Skill Classification in Volunteering
Schönböck, J., Gassner, C., Bodenhofer, U., Retschitzegger, W., Schwinger, W., Kapsammer, E., Pröll, B., Lechner, M. & Angster, C., 16 Oct 2025, International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2025. (International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2025).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
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Detection of Subtle ECG Changes Despite Superimposed Artifacts by Different Machine Learning Algorithms
Noitz, M., Mörtl, C., Böck, C., Mahringer, C., Bodenhofer, U., Dünser, M. W. & Meier, J., Aug 2024, In: Algorithms. 17, 8, 360.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (Scopus)
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Künstliche Intelligenz im Unternehmensalltag: Potenziale verstehen und nutzen
Bodenhofer, U. (Speaker)
10 Dec 2025Activity: Talk or presentation › Invited talk
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Künstliche Intelligenz: Praktischer Einsatz und wirtschaftlicher Nutzen
Bodenhofer, U. (Speaker)
26 Nov 2025Activity: Talk or presentation › Invited talk
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Towards a new machine learning–based protocol for analyzing medical data
Bodenhofer, U. (Speaker)
13 Nov 2025Activity: Talk or presentation › Invited talk
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Künstliche Intelligenz
Bodenhofer, U. (Speaker)
24 Sept 2025Activity: Talk or presentation › Invited talk
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AI for Good: Machine Learning in Medicine and Healthcare - Basics, Use Cases, and Prospects
Bodenhofer, U. (Speaker)
24 Jul 2025Activity: Talk or presentation › Invited talk