cv
Basics
| Name | Arnesh Sujanani |
| Label | Postdoctoral Fellow |
| asujanani6 AT gmail DOT com | |
| Website | https://asujanani6.github.io |
| Summary | Continuous optimization researcher broadly interested in fast first-order methods, parameter-free optimization, numerical analysis, and semidefinite programming |
Work
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2024.09 - Present Postdoctoral Fellow
Department of Combinatorics and Optimization, University of Waterloo
Advised by Professors Stephen Vavasis, Henry Wolkowicz, Walaa Moursi, and Saeed Ghadimi
Education
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2019.08 - 2024.08 PhD in Operations Research (GPA 3.92/4.0)
Georgia Institute of Technology
Fast First-Order Methods for Large-Scale Nonconvex Optimization and Semidefinite Programming
- Advised by Renato D.C. Monteiro.
- Committee Members: Arkadi Nemirovski, Alexander Shapiro, Diego Cifuentes, Samuel Burer (External).
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2019.08 - 2024.05 -
2015.08 - 2019.05
Publications
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2024.03.31 A Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming Based on a Hybrid Convex-Nonconvex Approach
Submitted to Mathematical Programming
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2023.09.23 An Adaptive Superfast Inexact Proximal Augmented Lagrangian Method for Smooth Nonconvex Composite Optimization Problems
Journal of Scientific Computing
Interests
| Applied Mathematics | |
| Continuous Optimization | |
| Semidefinite Programming | |
| Numerical Analysis | |
| Nonconvex Optimization | |
| First-Order Methods | |
| Parameter-Free Methods |
Skills
| Software | |
| Julia | |
| Matlab | |
| LaTeX |