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, paper2). During her PhD study, she also made independent contributions to the area of AI agents (paper).
Erich Gozebina, 2025-now, currently working with me on crypto-currency market prediction using on-chain data and neural networks.
Paul O'Conner, Master's, 2022-2024, has been working with me on cryptology and blockchain data analysis. In his thesis, he found the Partial Least Squares predictors of Bitcoin price during halving based on analyzing on-chain data (project).
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).