Published 'Sparse Learning of Dynamical Systems in Reproducing Kernel Hilbert Space: An Operator-Theoretic Approach' at the Fortieth International Conference on Machine Learning (ICML).
Contributed to several preprints on data-driven modeling and control, analysis of nonlinear systems, etc.
Published work on kernel methods for approximating Koopman operator eigenfunctions in Physica D: Nonlinear Phenomena.
Participated in research on data-driven transient stability analysis using the Koopman operator, published in the International Journal of Electrical Power and Energy Systems.
Studied the impact of aviation electrification on airports, with findings published in IEEE Transactions on Intelligent Transportation Systems.
Other academic contributions include but are not limited to presentations at the Asilomar Conference on Signals, Systems, and Computers.
Research Experience
Currently a postdoctoral research associate at the University of Illinois Urbana-Champaign (UIUC), hosted by Prof. Maxim Raginsky and Prof. Olgica Milenkovic.
Education
Ph.D.: University of Illinois Urbana-Champaign (UIUC), Electrical and Computer Engineering, Advisor: Prof. Subhonmesh Bose; B.Eng.: Zhejiang University, Electrical Engineering.
Background
Research Interests: Redefining modeling for autonomy by uniting the rigor of systems and control theory with advances in modern machine learning. Professional Field: Electrical and Computer Engineering.
Miscellany
No additional information provided regarding personal interests or hobbies.