Advisor: Prof. Akwum Onwunta. Dissertation: PDEs and Machine Learning with Applications in Medical Imaging.
About
I'm a fourth-year PhD candidate in Industrial and Systems Engineering (Lehigh ISE) at Lehigh University, advised by Professor Akwum Onwunta. My dissertation, PDEs and Machine Learning with Applications in Imaging, develops optimization and deep learning methods for inverse problems and imaging.
Before Lehigh, I earned a Master's degree in Mathematical Sciences from the African Institute for Mathematical Sciences (AIMS) in Rwanda, and a Bachelor's degree in Pure and Applied Mathematics from Ladoke Akintola University of Technology (LAUTECH) in Ogbomoso, Nigeria.
I served as President of the Lehigh INFORMS Student Chapter for 2025–2026, and as Vice President and Treasurer of the Lehigh University Graduate Association of Nigerian Students.
Education
Advisor: Prof. Dedunje Biatat V.A. Thesis: Artificial Neural Networks Under Constraint.
Grade: 4.52/5.0. First Class Honors.
Research Interests
Mathematical optimization · Scientific computing · Machine learning · Inverse problems · Medical imaging · Partial differential equations
Selected Publications
Ongoing Projects
Deformable Image Registration with Learned Proximal Networks (LPNs)
We study plug-and-play (PnP) algorithms for deformable image registration in which the regularizer is supplied by a learned proximal network (LPN) and evaluate the approach on synthetic and 3D neuroimaging data in comparison to ANTs.
Learned Proximal Networks for High-Dimensional Hamilton–Jacobi PDEs
Learning a convex potential whose gradient is the proximal operator, then recovering the prior without per-query inversion (the prior is evaluated in a single forward pass).