Julian Oelhaf

5 total

12FEB 2026
News
UtilityTwin Recognized at BMFTR StiPS Ceremony in Berlin
We were proud to have our researchers Adithya Ramachandran and Siming Bayer represent the Pattern Recognition Lab at the BMFTR’s StiPS ceremony in Berlin. The recognition of the UtilityTwin project underscores our lab’s focus: developing powerful AI and Digital Twin solutions that address critical infrastructure challenges. By bridging the gap between complex data modeling and […]
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24OCT 2025
News
FAU Pattern Recognition Lab Secures BMWE Funding for Groundbreaking Research on Hybrid Network Models for District Heating
The Pattern Recognition Lab (Lehrstuhl für Informatik 5, Mustererkennung) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is proud to announce that its proposal “Hyb_Mod_Netz – Hybride Netzmodelle als Basis für den optimalen Betrieb von Fernwärmenetzen” has been selected for funding by the Federal Ministry for Economic Affairs and Energy (BMWE) under the 8th Energy Research Programme of the Federal Government. The FAU project, […]The Pattern Recognition Lab (Lehrstuhl für Informatik 5, Mustererkennung) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is proud to announce that its proposal “Hyb_Mod_Netz – Hybride Netzmodelle als Basis für den optimalen Betrieb von Fernwärmenetzen” has been selected for funding by the Federal Ministry for Economic Affairs and Energy (BMWE) under the 8th Energy Research Programme of the Federal Government. The FAU project, […]
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18SEP 2025
News
The Pattern Recognition Lab at MICCAI 2025
The Pattern Recognition Lab will showcase a strong presence at MICCAI 2025 in Daejeon, South Korea, with contributions across all tracks including the main conference, workshops, challenges, CLINICCAI, open data, and the PhD consortium. Highlights include new methods for X-ray imaging, CT artifact reduction, chest X-ray disease classification, mammogram lesion detection, and award-winning results in international challenges.The Pattern Recognition Lab will showcase a strong presence at MICCAI 2025 in Daejeon, South Korea, with contributions across all tracks including the main conference, workshops, challenges, CLINICCAI, open data, and the PhD consortium. Highlights include new methods for X-ray imaging, CT artifact reduction, chest X-ray disease classification, mammogram lesion detection, and award-winning results in international challenges.
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11SEP 2025
News
Pattern Recognition Symposium 2025 in Hochkrimml, Austria
At the end of July, the Pattern Recognition Lab held its annual Pattern Recognition Symposium (PRS) in Hochkrimml, Austria. For five days, researchers and students came together for talks, posters, and discussions on topics ranging from medical imaging and speech analysis to utility infrastructure, computer vision, and quantum methods. The mix of scientific exchange and community spirit made PRS 2025 another memorable highlight in our lab calendar.At the end of July, the Pattern Recognition Lab held its annual Pattern Recognition Symposium (PRS) in Hochkrimml, Austria. For five days, researchers and students came together for talks, posters, and discussions on topics ranging from medical imaging and speech analysis to utility infrastructure, computer vision, and quantum methods. The mix of scientific exchange and community spirit made PRS 2025 another memorable highlight in our lab calendar.
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14FEB 2025
News
Research Project GridAssist Started: PRL Leads Innovation in AI-Powered Grid Optimization
The Pattern Recognition Lab (PRL) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is pleased to announce its involvement in the GridAssist research project. Funded by the German Federal Ministry for Economic Affairs and Climate Action (BMWK) under the OptiNetD initiative, the project commenced on 1 December 2024. The PRL’s research will focus on the development of AI-driven solutions […]The Pattern Recognition Lab (PRL) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) is pleased to announce its involvement in the GridAssist research project. Funded by the German Federal Ministry for Economic Affairs and Climate Action (BMWK) under the OptiNetD initiative, the project commenced on 1 December 2024. The PRL’s research will focus on the development of AI-driven solutions […]
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