王亚超，男，1983年12月生；2018年毕业于重庆大学，获工学博士学位；现为437ccm·必赢国际讲师、硕士生导师；近年来，主持、参与多项科研项目，发表SCI论文10余篇。

主要研究方向：

图像处理、智能控制

主要研究课题:

1. 量子图像存储模型及预处理算法研究，2019.6-2021.12，结题；

2. 基于分数阶非线性系统同步特性的图像处理方法研究，2019.7-2021.12，结题；

3. 区块链中隐遁勒索病毒模型的构建分析与控制,2022.5-2024.6,在研。

主要论文：

1. Y. Wang, X. Lin, etal. Properties of CF3SO2F under the influence of external electric field: A DFT study. Results in Physics, 2023, 45:106248.

2. Y. Wang, X. Lin, etal. A DFT study on the molecular properties of synthetic ester under the electric field. Open Physics, 2021, 11(1): 647-656.

3. Y. Wang, X. Lin*, etal. Characteristics of saturated triglycerides under electric field. Acta Physica Sinica, 2021, 70: 233101.

4. Y. Wang, X. Lin*, etal. Effect of an electric field on the molecular properties of tributyrin, tricaproin and tricaprylin: a theoretical study. Journal of the Korean Physical Society, 2021,

5. X. Lin，Y. Wang*, etal. Dynamic analysis and adaptive modified projective synchronization for systems with Atangana-Baleanu-Caputo derivative: a financial model with nonconstant demand elasticity. Chaos, Solitons and Fractals, 2022, 160：112269.

6. X. Lin, Y. Wang*, etal. Image Denoising of Adaptive Fractional Operator Based on Atangana–Baleanu Derivatives. Journal of Mathematics, 2021, 2021(3): 1-16.