Fischer Andreas

Fischer Andreas is a Professor at HES-SO (University of Applied Sciences and Arts Western Switzerland), specifically affiliated with the School of Engineering and Architecture of Fribourg (HEIA-FR). His research spans Pattern Recognition, Applied Machine Learning, Handwriting Recognition, and Graph-based Methods. He has secured significant grants from TAINA Technology, Swisscom, and the Hasler Foundation for projects including automatic handwriting recognition for tax forms, Swiss German translation, and graph-based keyword spotting in Vietnamese steles.

• Education: BSc in Computer Science from HEIA-FR.

Research Highlights:

• Graph Neural Networks for Büchi automata classification
• Annotation-free alignment in historical documents
• Graph edit distance optimization for keyword spotting
• Hybrid deep learning for Vietnamese stele analysis
• Graph-based tumor budding analysis in digital pathology

Collaborative Impact: Fischer's work bridges historical document analysis and medical imaging, demonstrated through frameworks like DIVA-DAF and tools like GammaFocus for histopathology. His 2024 conferences suggest ongoing exploration of LLM integration in document processing and OCR-free models for information extraction.