Luke Bhan
- Program Year: 1
- Academic Institution: University of California, San Diego
- Field of Study: Intelligent Systems, Robotics and Control
- Academic Advisor: Yuanyuan Shi
- Practicum(s): Practicum Not Yet Completed
- Degree(s):
M.S. Computer Science, Vanderbilt University, 2022; B.S. Physics and Computer Science, Vanderbilt University, 2022 - Personal URL: https://lukebhan.com/
Summary of Research
Luke is currently studying the application and design of learning algorithms (Neural Operators, Reinforcement Learning, NeuralODEs) for control of dynamical systems. His work is applicable to many engineering problems such as temperature regulation in buildings, power plant design, and robotic manipulators. Previously, Luke worked in computational plasmonics designing simulations for atom ionization under strong lasers.Publications
IN SUBMISSION:[1] Luke Bhan, Yuanyuan Shi, and Miroslav Krstic. Neural operators for bypassing gain and control computations in pde backstepping, 2023. Under Review, Transactions of Automatic Control
[2] Miroslav Krstic, Luke Bhan, and Yuanyuan Shi. Neural operators of backstepping controller and observer gain functions for reaction-diffusion pdes, 2023. Under Review, Automatica
PUBLISHED (Ordered by Most Recent First):
[3] Luke Bhan, Yuanyuan Shi, and Miroslav Krstic. Operator learning for non-linear adaptive control. In 2023 Learning For Dynamics and Control Conference, 2023.
[4] Luke Bhan, Marcos Quinones-Grueiro, and Gautam Biswas. Concurrent policy blending and system identification for generalized assistive control. In 2022 International Conference on Robotics and Automation (ICRA), pages 7499-7504, 2022.
[5] Luke Bhan, Cody L. Covington, and Kálmán Varga. Laser-driven petahertz electron ratchet nanobubbles. Nano Letters, 22(10):4240-4245, 2022. PMID: 35561279
[6] Luke Bhan, Cody Covington, and Kálmán Varga. Signatures of atomic structure in subfemtosecond laser-driven electron dynamics in nanogaps. Phys. Rev. B, 105:085416, Feb 2022.
[7] Luke Bhan, Marcos Quinones-Grueiro, and Gautam Biswas. Fault tolerant control combining reinforcement learning and model-based control. In 2021 5th International Conference on Control and Fault-Tolerant Systems (SysTol), pages 31-36, 2021
[8] Luke Bhan, Cody Covington, Jason Rivas, and Kálmán Varga. Simulation of photo-electron spectrum and electron scattering by dual time propagation. The Journal of Chemical Physics, 154(11):114110, 2021.
[9] Adam Stager, Luke Bhan, Andreas Malikopoulos, and Liuhui Zhao. A scaled smart city for experimental validation of connected and automated vehicles. IFAC-PapersOnLine, 51(9):130-135, 2018. 15th IFAC Symposium on Control in Transportation Systems CTS 2018.
Awards
Underwood Memorial Award for Most Outstanding Senior. Vanderbilt Department of Physics and Astronomy. May 2022.Best Undergraduate Publication. For Simulation of photo-electron spectrum and electron scattering by dual time propagation. Vanderbilt Department of Physics and Astronomy. May 2021.