We provide solid training in both mathematical theory and engineering practice for our lab members. We strive to assign each of our PhD/Master's student with research topics that are closely related to cutting-edge technology innovation. We hope these efforts could lead them to better adaptation for the job-market and the business-world in general.
Jiali Zhang, 2022-now, currently working with me on image processing, reinforcement learning and advanced manufacturing (paper1).
Daniel Kovach, 2023-now, currently working with me on mathematical analysis of neural network.
Paul O'Conner, 2022-now, currently working with me on blockchain and cryptocurrency.
Louis Steinmeister, PhD, 2019-2020, has been working with me on reinforcement learning and advanced manufacturing (paper).
Austin Vandegriffe, Master's, 2019-2021, has been working with me on the asymptotic properties of wide neural networks (project).
Theophile Abraham, Intern, 2020, has been working with me on data-analytic problems related to image processing (t-SNE) and Deep Learning (project).
Jiaojiao Yang, Visiting Scholar, 2019-2020, has been working with me on stochastic dynamical systems (paper).