SimingBayer Profil Image

Dr.-Ing. Siming Bayer

Chair of Computer Science 5 (Pattern Recognition)

Visiting researchers

Contact

  • Since 11/2019: Researcher at Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University
  • 01/2015 to 10/2019: Doctoral Researcher at Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University in collaboration with Siemens Healthineers AG
  • 09/2016 to 12/2016: Researcher at Molecular Imaging Lab, Department of Biomedical Engineering, Peking University
  • 10/2009 t0 09/2015: Student at Friedrich-Alexander University (B.Sc and M.Sc Biomedical Engineering)

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Type Title Status
MA thesis Agentic RAG for Multi-Step Reasoning in Complex Technical Corpora running
MA thesis Data-driven modeling of hydrogen fuel cells in hybrid railway vehicles finished
MA thesis Temperatures in MRI Scanners running
MA thesis AI-Enhanced Data Imputation for Water Network Modeling running
MA thesis Parameter Efficient Finetuning of Universal Time Series Transformers for Energy Forecasting running
Project Conventional vs. Reinforcement Learning–Based Relays for Power System Protection running
MA thesis Leakage Detection and Localization in Water Distribution Networks Using Hybrid Modeling and Data-Driven Techniques running
MA thesis Enhancing explainability of Time Series Forecasting in Smart Infrastructures running
MA thesis Deep Learning Approaches for Dynamic Modeling of Hydrogen Fuel Cells in Hybrid Railway Vehicles running
MA thesis Deep Learning-Based Breast Cancer Risk Stratification Using Multiple Instance Learning on LDCT Scans finished
MA thesis PaiChat: A Visual – Language Assistant for Histopathology finished
MA thesis Evaluation of Forecasting Approaches for Time Series Data in the Utility Domain finished
MA thesis Advanced Machine Learning Models for Leakage Detection and Localization in Water Distribution Networks Using Real-System Data finished
MA thesis Enhancing Breast Abnormality Detection on Mammograms with Advanced Vision-Language Models finished
Project Frequency Domain Hierarchical Vision Transformer-based Perceptual Loss finished
MA thesis Link Prediction on Utility Networks Using Graph Neural Networks finished
MA thesis Large Language Models for Knowledge Management in Engineering Projects finished
MA thesis Deep Learning for Geo-Referencing Historical Utility Documents With Geographical Features finished
MA thesis Real-time Path Loss Prediction Using Deep Learning for Smart Meter Communication System finished
MA thesis Deep Learning-Based Breast Density Categorization in Asian Women finished
MA thesis Advanced Machine Learning Techniques for Data-Driven Monitoring of Coil Winding Processes in Electric Motor Manufacturing finished
MA thesis Leakage Detection and Modeling in Water Distribution Systems finished
MA thesis Adaptive Training for Heat Demand Prediction of District Heating Network finished
MA thesis Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble finished
MA thesis A hybrid approach forLeakage Localization in the Water Distribution Network finished
MA thesis Adaptive Training of Heat Demand Prediction using Continual Learning finished
Project Represent senor data of district heating network using contrastive learning finished
MA thesis Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble finished
BA thesis Interpolation of deformation field for brain-shift compensation using Gaussian Process finished
MA thesis Covert Channel Vulnerabilities of Online Marketplaces – Impact on Antitrust Laws finished
MA thesis End-use Classification using High-Resolution Smart Water Meter Data finished