CONTACT INFORMATION
Tel: Use my personal phone number.
email: rdelgadillo0000@gmail.com
Linkedin: Non-existent, use my email to contact me.
Strava: リカルド 博士 | Strava Runner Profile
Education:
University of California San Diego (2006-2010)
-B.A. Pure Mathematics with a minor in physics
University of California Santa Barbara (2010-2016)
-MA Applied Mathematics, 2012
-Ph.D. Applied Mathematics 2016
Doctoral Advisor: Xu Yang (UC Santa Barbara)
Employment:
-
Current: Senior Algorithm Developer and Mathematician specializing in Computer Vision, Deep Learning for Computer Vision, Graphics Programming, Simulations and Control systems. Job Location: Santa Barbara.
-
Research Fellow at National University of Singapore: Civil and Enviornmental
-
engineering Department, April 30, 2020.
-
Research Fellow at National University of Singapore: Mathematics Department, August 2019
-
Postdoctoral researcher at Michigan State University mathematics department, August 2016.
Current Interest:
Computer Vision and Multiscale Computer Vision Algorithms. Electronic and Computer Engineering.
Areas of Research:
Applied mathematics and scientific computing. Asymptotic analysis and semiclassical approximations in quantum mechanics. Time-dependent density functional theory. PDE discovery algorithms and Machine Learning. Bridging Machine Learning and Asymptotic Analysis.
Published, Submitted Papers and Preprints
(1) Frozen Gaussian approximation for high frequency wave propagation in periodic media with Jianfeng Lu and Xu Yang, Journal of Asymptotic Analysis, 110, 113--135, 2018.
(2) Gauge-invariant frozen Gaussian approximation method for the Schrodinger equation with periodic potentials with Jianfeng Lu and Xu Yang,
Siam J. Sci. Comp, 38, A2440--A2463, 2016.
(3) Frozen Gaussian approximation-based artificial boundary conditions for one-dimensional nonlinear Schrodinger equation in the semiclassical regime with Jiwei Zhang and Xu Yang, Siam J. Sci. Comp, 75, 1701--1720, 2018.
(4) A Spectral Algorithm for the Time-Dependent Kohn-Sham Equations Based on Frozen Gaussian Approximations with Di Liu, submitted to SISC, 2018. Accepted.
(5) Multiscale and nonlocal learning for PDE's using densely connected RNNs (Recuring Neural Networks) with Jingwei Hu and Yang Haizhao. Submitted.
