معرفی
Gregory Ongie is an Assistant Professor in the Department of Mathematical and Statistical Sciences at Marquette University. His research bridges mathematics and machine learning, focusing on computational imaging and data science applications.
Research Interests:
- Mathematics of deep learning architectures
- Applied algebraic geometry for data modeling
- Optimization in medical image reconstruction
- Computational imaging algorithms
Publication Trends: Recent work emphasizes inverse problems in imaging, tensor-based matrix completion, and theoretical foundations of neural networks. Key themes include algebraic geometry, deep equilibrium models, and Fourier sampling techniques.
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