Muhan Zhao (赵木涵)
Introduction
I'm a second-year Ph.D. student in Mechanical and Aerospace Engineerning Department in UC San Diego. I'm working in the Flow and Control Lab under the instructions of Prof. Thomas R. Bewley. My research focuses on the development of state-of-the-art derivative-free optimization algorithms via global surrogate model to solve nonconvex programming, with applications in robotic trajectory following problem and wavy wall shape design.
Before my Ph.D. study, I received M.S. in Computational Science Mathematics, and Engineering (CSME) in UC San Diego since 2018. I completed my B.S. since 2016 in Applied Mathematics in Tongji University in Shanghai, China.
I am also a divine Dota2 player. :)
Research interests
- Derivative-free and numerical optimization
- Machine learning
- Nonlinear control
How to pronounce my name
[moo-hahn dʒaʊ]
News
- Dec. 2020: I have completed my Advancement to Candidacy Senate exam in UCSD.
- Oct. 2019: I have been accepted as the reviewer for American Journal of Neural Networks and Applications.
- Aug. 2019: My paper "A Delaunay-based method for optimizing infinite time averages of numerical discretizations of ergodic systems" for AIAA Scitech 2020 has been accepted.
- Jul. 2019: My paper "Delaunay-based Derivative-free Optimization via Global Surrogates with Safe and Exact Function Evaluations" for CDC 2019 has been accepted.
- Mar. 2019: My paper "Safe Learning Derivative-free Optimization via Global Surrogates for Quadrotors Trajectory Following" for SCR 2019 has been accepted for spotlight and poster sessions.
- Jul. 2018: My paper "An active subspace method for accelerating convergence in Delaunay-based optimization via dimension reduction" for CDC 2018 has been accepted.
It is difficult to say what is impossible, for the dream of yesterday is the hope of today and the reality of tomorrow. - Dr. Robert Goddard
Everything negative - pressure, challenges - is all an opportunity for me to rise. - Kobe Bryant