Tjeerd Heeringa

Tjeerd Heeringa is an Internal PhD Candidate at the Digital Society Institute (University of Twente) and affiliated with the Mathematics of Imaging & AI department. His research focuses on bridging mathematical frameworks with artificial intelligence, particularly in the fields of deep learning, computer vision, and sparse representation techniques.

Research Interests

Heeringa’s work explores advanced mathematical concepts in AI, including:

• Reproducing kernel methods for neural networks
• Functional embeddings in Barron spaces
• Dimensionality reduction for PDE solution data
• Sparse representation and inverse scale space flow

His research integrates applied mathematics, computer science, and data science to develop novel AI architectures and optimization strategies.

Scientific Awards

• Winner of SIAM CSE '23 Hackathon

Conference Activities

Heeringa has presented at international events on topics such as:

• Duality and embeddings for Barron spaces
• Sparse representation of Barron functions
• Vector calculus and Clifford algebra