Selected Dissertations/Theses of advisees or co-advisees:

• Christopher Baker, Ph.D. (Florida State University, Computational Science)-- Riemannian Manifold Trust-Region Methods with Applications to Eigenproblems
• Christopher Baker, M.S. (Florida State University, Department of Computer Science)-- A Block Incremental Algorithm for Computing Dominant Singular Subspaces
• Shuyu Dong, Ph.D. (Catholic University of Louvain, Belgium, Mathematical Engineering)-- Low-rank Matrix and Tensor Completion Using Graph-based Regularization.
• Eric Grimme, Ph.D. (University of Illinois, Department of Electrical and Computer Engineering)-- Krylov Projection Methods for Model Reduction
• Wen Huang, Ph.D. (Florida State University, Department of Mathematics)-- Optimization Algorithms on Riemannian Manifolds with Applications
• Gih Guang Hung, Ph.D. (University of Illinois, Department of Electrical and Computer Engineering)-- Parallel Circuit Simulation Techniques for a Hierarchical Machine
• Melissa Marchand, Ph.D. (Florida State University, Department of Mathematics)-- Low-rank Riemannian Optimization Approach to the Role Extraction Problem
• Bret Marsolf, Ph.D. (University of Illinois, Department of Computer Science)-- Techniques for the Interactive Development of Numerical Linear Algebra Libraries for Scientific Computation
• Chunhong Qi, Ph.D. (Florida State University, Department of Mathematics)-- Numerical Optimization Algorithms on Riemannian Manifolds
• Xiang Rao, M.S. (Florida State University, Department of Computer Science)--Large Scale Stabilization with Linear Feedback
• Justin Slone, B.S. honors thesis (Florida State University, Department of Computer Science)-- A Performance Analysis of Parallel Multigrid Coarsening
• Damon Snyder, M.S. (Florida State University, Department of Computer Science)-- On-line Intrusion Detection Using Sequences of System Calls
• Robert Soni, Ph.D. (University of Illinois, Department of Electrical and Computer Engineering)-- Projection Methods for Improved Performance in Adaptive Systems
• Liang-Hsuan Tai, Ph.D. (Florida State University, Department of Mathematics)-- Trend and Variable-phase Seasonality Estimation from Functional Data
• Srikanth Thirumalai, Ph.D. (University of Illinois, Department of Electrical and Computer Engineering)-- High Performance Algorithms to Solve Toeplitz and Block Toeplitz Matrices
• Antoine Vandendorpe, Ph.D. (Catholic University of Louvain, Belgium, external examiner)-- Model Reduction of Linear Systems, an Interpolation Point of View
• Xiaoge Wang, Ph.D. (University of Illinois, Department of Computer Science)-- Incomplete Factorization Preconditioning for Linear Least Squares Problems
• Meng Wei, Ph.D. (Florida State University, Department of Mathematics)-- Solving_Clustering_Problems_Using_Riemannian_Optimization
• Y. C. Wen, Ph.D. (University of Illinois, Department of Electrical and Computer Engineering)-- Portable Relaxation-Based Circuit Simulation on MIMD Machines
• Ulrike Meier Yang, Ph.D. (University of Illinois, Department of Computer Science)-- A Family of Preconditioned Iterative Solvers for Sparse Linear Systems
• Yaqing You, Ph.D. (Florida State University, Department of Mathematics)-- A Riemannian Approach for Computing Geodesics in Elastic Shape Space and Its Applications
• Xinru Yuan, Ph.D. (Florida State University, Department of Mathematics)-- Riemannian Optimization Methods for Averaging Symmetric Positive Definite Matrices
• Shuguang Zhang, Ph.D. (Florida State University, Department of Mathematics)-- Riemannian Broyden Family of Limited Memory Quasi-Newton Methods
• Guifang Zhou, Ph.D. (Florida State University, Department of Mathematics)-- Rank-constrained Optimization: A Riemannian Manifold Approach
• Yijia Zhou, Ph.D. (Florida State University, Department of Mathematics)-- Scalable Clustering: Large Scale Unsupervised Learning of Gaussian Mixture Models with Outliers