Linda-Sophie Schneider

Lehrstuhl für Informatik 5 (Mustererkennung)

Research associates

Address

Martensstraße 3
91058 Erlangen

Linda-Sophie Schneider

  • Since 08/2021:
    Ph.D. Student at Pattern Recognition Lab, FAU Erlangen-Nürnberg
  • 10/2018 - 02/2021:
    M. Sc. Mathematics, FAU Erlangen-Nürnberg
  • 04/2018 - 07/2018:
    Practical semester abroad in Portugal
  • 10/2014 - 12/2017:
    B. Sc. Mathematical Economics, FAU Erlangen-Nürnberg

  • Winter Semester 2025/26
    Pattern Recognition
  • Sommer Semester 2025
    Introduction to Machine Learning
  • Winter Semester 2024/25
    Reproduce Research Results

2021

  • SmartCT - Erforschung und Entwicklung von Methoden der Künstlichen Intelligenz für ein autonomes Roboter-CT System zur 3D-Digitalisierung beliebiger Objekte

    (Third Party Funds Group – Overall project)

    Project leader: ,
    Term: June 1, 2021 - May 31, 2024
    Acronym: SmartCT
    Funding source: Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie (StMWi) (seit 2018)
    URL: https://www.pinterguss.de/forschung-entwicklung/smart-ct.html

    In Vorhaben SmartCT sollen KI-Methoden entwickelt und angewendet werden, die Roboter-CT Systemen ermöglicht, selbstständig, also autonom, die äußeren und inneren Strukturen beliebiger Objekte zu digitalisieren. Diese so erzeugten Daten stellen die Basis von neuartigen, innovativen und datengetriebenen Geschäftsmodellen in vielen Bereichen wie Produktentwicklung, Produktion, Handel, Instandhaltung, Sicherheit und Recycling dar.
    Roboter-CT Systeme können beliebige Objekte (Fahrzeugkomponenten, Flugzeugflügel, Batterie-zellen, Versandpaket, etc.) zerstörungsfrei digitalisieren. Diese Systeme sind jedoch hoch komplex und deshalb bisher nur mit großem zeitlichen Aufwand von Experten bedien- und einsetzbar. Roboter-CT Systeme werden deshalb aktuell nur bei großen Unternehmen eingesetzt. Mit Hilfe der in SmartCT entwickelten KI-Methoden soll es möglich werden, dass beliebige Objekte effizient und wirtschaftlich attraktiv digitalisiert werden können, so dass auch kleinere und mittlere Unternehmen die Vorteile dieser Technologie vollständig zugänglich gemacht werden kann. Zugleich wird mit diesem Vorhaben die Akzeptanz roboterbasierter CT-Systeme in der Industrie nachhaltig erhöht.

2026

Conference Contributions

2025

Journal Articles

Conference Contributions

2024

Journal Articles

Conference Contributions

2023

Journal Articles

Conference Contributions

No awards found.

Current Theses & Projects

Title Type Student Period Status
Conditional Generation of Tire Patterns using Generative AI MA thesis Puranjan Bandyopadhyaya May 2026 – Nov 2026 running
Cross-Domain Ontology-driven Agentic RAG over Gigantic Collection of German Historic Text MA thesis Ritwik Ghosh Jun 2026 – Dec 2026 running
Solving the Puppet Cube V1 with A* search and Neural Networks BA thesis Luis Neugebauer May 2026 – Oct 2026 running
Ensemble and Multi-Scale Inference Strategies for Improving Tile-Based Defect Segmentation in Industrial X-Ray Images BA thesis Paul Walcher Mar 2026 – Jul 2026 running
Design and Evaluation of an LLM-Based Agentic Workflow for the (Semi-)Automation of Public Tendering Processes in Germany MA thesis Evren Tiras Jan 2026 – Jun 2026 running
Deep Learning-Based Analysis of Thermographic Mold Images for Quality Prediction in Aluminum Die Casting BA thesis Dominique Thummerer Mar 2026 – Jul 2026 running
Generalization of Self-Supervised Vision Models in Image Retrieval Project Marius Kern Jul 2025 – Nov 2025 running
Agentic Radiology Report Generation MA thesis Muhammad Faizan Kazi Jun 2026 – Nov 2026 running
Automated calibration of the scan trajectory in dedicated breast CT with circle-spiral trajectory BA thesis Tobias Martini Apr 2026 – Sep 2026 running

Completed Theses & Projects

Title Type Student Period Status
A Comparative Analysis of Deep Learning Models for Text-to-CAD Generation Project Anshul Dhingra Sep 2025 – Jan 2026 finished
Seminar Herculaneum Papyri Project Feb 2026 – May 2026 finished
Deep Learning-Based Classification and Explainability of Cytomegalovirus Encephalitis in Longitudinal MRI Data Project Luca Ruf finished
Optimization of CT Image Volume in Dedicated Breast CT with Circle-Spiral Trajectory MA thesis Samet Gökmen Mar 2025 – Aug 2025 finished
Diffusion Model-Based 3D CT Reconstruction for Arbitrary Trajectories MA thesis Arpan Chatterjee Mar 2025 – Sep 2025 finished
Project Seminar: Reproduce Research Results Project finished
FVR-ADNeRF: Attention-Driven NeRFs for Few-View Reconstruction to enable CT Trajectory Optimization MA thesis Anshul Dhingra Apr 2025 – Oct 2025 finished
Image2Tikz: Enhancing Image-to-TikZ Code Generation via Large Language Models Knowledge Distillation MA thesis Younis Raafat Mostafa Abdelfattah Ahmed Mar 2025 – Sep 2025 finished
Defect Detection Probability as a Metric for CT Image Quality Assessment Project Anshul Dhingra Apr 2024 – Sep 2024 finished
Automated ONNX2TikZ: Generating LaTeX-TikZ Diagrams of Neural Networks Project Yu Gao Apr 2024 – Oct 2024 finished
Contrastive Learning of 3D Objects via Patch-Level Point Cloud Encoding for Similarity Matching MA thesis Maximilian Stefan Kritzenthaler Apr 2025 – Oct 2025 finished
A Comparative Analysis of Loss Functions in Deep Learning-Based Inverse Problems Project Hongrun Dong Feb 2024 finished
Developing and Evaluating Image Similarity Metrics for Enhanced Classification Performance in 2D Datasets BA thesis Marius Kern Oct 2024 – Feb 2025 finished
Detectability Index Reimplementation for CT Images Using PyTorch Project Apr 2024 – Oct 2024 finished
Scamming Scammers using Large Language Models MA thesis Malavika Radhakrishnan Mar 2025 – Sep 2025 finished
Deep Learning Computed Tomography based on the Defrise and Clack Algorithm for Specific CBCT Orbits MA thesis Chengze Ye Dec 2023 – May 2024 finished
Robot Movement Planning for Obstacle Avoidance using Reinforcement Learning MA thesis Junyan Peng Jun 2024 – Nov 2024 finished
Sinogram Analysis Using Attention U-Net: A Methodological Approach to Defect Detection and Localization in Parallel Beam Computed Tomography MA thesis Yuzhong Zhou Sep 2023 – Feb 2024 finished
Learning Reconstruction Filters for CBCT Geometry Project Chengze Ye Apr 2023 – Oct 2023 finished
Application of projection-based metrics to the optimisation of arbitrary CT scanning trajectory MA thesis Yuedong Yuan Sep 2023 – Feb 2024 finished
Tackling Travelling Salesman Problem with Graph Neural Network and Reinforcement Learning Project Junyan Peng May 2023 – Oct 2023 finished
Synthetic Projection Generation with Angle Conditioning Project Tianrui Wu, Mert Özer and Ahmed Khalifa Apr 2023 – Sep 2023 finished
On how to learn and use the Detectability Index efficiently for CT trajectory optimisation BA thesis Fadi Abo Hadba Sep 2023 – Feb 2024 finished