Arnesh M. Sujanani
University of Waterloo. Department of Combinatorics and Optimization. Faculty of Mathematics.
Office: MC 5461
200 University Avenue West
Waterloo, Ontario
I am a postdoctoral fellow at University of Waterloo’s Department of Combinatorics and Optimization where I am advised by Stephen Vavasis, Henry Wolkowicz, and Walaa Moursi from C&O and Saeed Ghadimi from MS&E. I am interested broadly in continuous optimization, semidefinite programming, scientific computing, and efficient numerical methods for optimization. The main focus of my research is to develop scalable, fast, and parameter-free first order-methods for large-scale optimization.
Previously, I received my PhD in Operations Research in Summer 2024 from Georgia Tech ISyE where I was advised by Renato D.C. Monteiro. I also received my M.S. in Mathematics in Spring 2024 from Georgia Tech and a B.S. in Applied and Computational Mathematics in Spring 2019 from University of Southern California.
news
| Oct 11, 2024 | A new paper ``Efficient parameter-free restarted accelerated gradient methods for convex and strongly convex optimization’’ has been submitted to Journal of Optimization Theory and Applications. |
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| Jul 10, 2024 | I successfully defended my PhD in Operations Research from Georgia Tech. |
| May 01, 2024 | I graduated with my M.S. in Mathematics from Georgia Tech. |
