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28FEB 2025
News
Invited Talk: Yuliang Huang (University College London) – Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography, March 7th 2025, 10 AM CET
Title: Resolving Variable Respiratory Motion From Unsorted 4D Computed TomographyDate: March 7th 2025, 10 AM CETLocation: https://fau.zoom-x.de/j/64254558508?pwd=Z3BWP1bIYCpvI02Av3bO8SfGY4bAly.1 Abstract:4D Computed Tomography (4DCT) is widely used for many clinical applications such as radiotherapy treatment planning, PET and ventilation imaging. However, common 4DCT methods reconstruct multiple breath cycles into a single, arbitrary breath cycle which can lead to […]Title: Resolving Variable Respiratory Motion From Unsorted 4D Computed TomographyDate: March 7th 2025, 10 AM CETLocation: https://fau.zoom-x.de/j/64254558508?pwd=Z3BWP1bIYCpvI02Av3bO8SfGY4bAly.1 Abstract:4D Computed Tomography (4DCT) is widely used for many clinical applications such as radiotherapy treatment planning, PET and ventilation imaging. However, common 4DCT methods reconstruct multiple breath cycles into a single, arbitrary breath cycle which can lead to […]
Read more about Invited Talk: Yuliang Huang (University College London) – Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography, March 7th 2025, 10 AM CET
17FEB 2025
News
Invited Talk: Prof. Dr. Thilo Stadelmann (ZHAW School of Engineering): Real life machine learning – How research, inspired by use cases, helps me getting along with AI, Wed, Feb 26th, 2025, 13:00 CET
It’s a great pleasure to welcome Prof. Dr. TThilo Stadelmann, professor of AI/ML at the ZHAW School of Engineering in Winterthur, Switzerland. Title “Real life machine learning – How research, inspired by use cases, helps me getting along with AIs”. The talk will be on Thursday, Feb 26, 2025, at 13:00 in room 02.134-113 in […]
Read more about Invited Talk: Prof. Dr. Thilo Stadelmann (ZHAW School of Engineering): Real life machine learning – How research, inspired by use cases, helps me getting along with AI, Wed, Feb 26th, 2025, 13:00 CET
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 […]
Read more about Research Project GridAssist Started: PRL Leads Innovation in AI-Powered Grid Optimization
10FEB 2025
News
Dr. Zhicong Yu Appointed as Assistant Professor at UC Santa Cruz
The Pattern Recognition Lab proudly congratulates Dr. Zhicong Yu on his appointment as Assistant Professor at the University of California, Santa Cruz, beginning January 2025. Dr. Yu completed his Ph.D. at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) at our lab in cooperation with Prof. Frederic Noo in Salt Lake City, USA, in 2013, following his M.S. at FAU […]
Read more about Dr. Zhicong Yu Appointed as Assistant Professor at UC Santa Cruz
07FEB 2025
News
Invited Talk – Prof. Dr. Stephan Chalup (Uni Newcastle): Topological and Geometric Aspects for Machine Learning, Friday Feb. 14th 2025, 10 AM CET
It’s a pleasure to welcome Prof. Dr. Chalup to our lab to present his latest ideas! Title: Topological and Geometric Aspects for Machine LearningDate: Friday Feb. 14th 2025, 10 AM CETLocation: e-Studio / https://fau.zoom-x.de/j/66590469124?pwd=5jpqKjar5bT2Vb2k6mfik4Nxf1sDUc.1 Abstract: This presentation explores the interplay of topology, geometry, and machine learning to address challenges in high-dimensional data analysis, and real-time […]It’s a pleasure to welcome Prof. Dr. Chalup to our lab to present his latest ideas! Title: Topological and Geometric Aspects for Machine LearningDate: Friday Feb. 14th 2025, 10 AM CETLocation: e-Studio / https://fau.zoom-x.de/j/66590469124?pwd=5jpqKjar5bT2Vb2k6mfik4Nxf1sDUc.1 Abstract: This presentation explores the interplay of topology, geometry, and machine learning to address challenges in high-dimensional data analysis, and real-time […]
Read more about Invited Talk – Prof. Dr. Stephan Chalup (Uni Newcastle): Topological and Geometric Aspects for Machine Learning, Friday Feb. 14th 2025, 10 AM CET
07FEB 2025
News
Invited Talk: Sukyoung Won, PhD (Caltech): Polymer Composite Engineering for Microrobot Swarm Intelligence, Tue Feb11th 2025, 17h CET
We are excited to be able to listen to Sukyoung Won from CalTech soon! Title: Polymer Composite Engineering for Microrobot Swarm IntelligenceDate: Tue Feb11th 2025, 17h CETLocation: https://fau.zoom-x.de/j/65288401342?pwd=YRVlJAVtEoPl9naWhHt3jFLJb4oYjk.1 AbstractRobot swarms can complete complicated and time-consuming missions through cooperative interactions communicated by sensors. However, sensor-free miniaturized robots face a significant challenge in achieving effective inter-robot communication. […]We are excited to be able to listen to Sukyoung Won from CalTech soon! Title: Polymer Composite Engineering for Microrobot Swarm IntelligenceDate: Tue Feb11th 2025, 17h CETLocation: https://fau.zoom-x.de/j/65288401342?pwd=YRVlJAVtEoPl9naWhHt3jFLJb4oYjk.1 AbstractRobot swarms can complete complicated and time-consuming missions through cooperative interactions communicated by sensors. However, sensor-free miniaturized robots face a significant challenge in achieving effective inter-robot communication. […]
Read more about Invited Talk: Sukyoung Won, PhD (Caltech): Polymer Composite Engineering for Microrobot Swarm Intelligence, Tue Feb11th 2025, 17h CET