王汉超博士，山东大学教授，博士生导师。 主要从事概率论的研究工作，特别在测度弱收敛、集中不等式、随机矩阵等领域发表了若干文章。与林正炎教授合作，在新加坡世界科技出版社出版专著 Weak Convergence and Its Applications。近几年来，在概率论、计量经济等领域权威期刊上发表论文二十余篇。近期的研究兴趣主要集中在凸几何与随机矩阵的非渐近分析。加入山东大学以来，王汉超先后为本科生和研究生讲授了《随机过程基础》、《实变函数》、《高等概率论》、《半鞅与随机分析》、《概率论》、《高维概率基础》等课程，积累了一定的教学经验。受邀先后访问过澳大利亚悉尼大学，俄罗斯斯捷克罗夫数学研究所，莫斯科国立大学，新加坡国立大学，加拿大菲尔兹数学研究所，香港浸会大学，加拿大滑铁卢大学，英国约克大学等。

Dr. Wang Hanchao is a  professor at Shandong University and a doctoral supervisor. He mainly engages in research on probability theory and has published several articles, particularly on weak convergence, concentration inequalities, and random matrices. In collaboration with Professor Lin Zhengyan, he published a monograph titled "Weak Convergence and Its Applications" with World Scientific Publishing in Singapore. In recent years, he has published over twenty papers in authoritative journals in probability theory and econometrics. His current research focuses on convex geometry and non-asymptotic analysis in random matrices. Since joining Shandong University, Dr. Wang has taught courses such as "Fundamentals of Stochastic Processes," "Real Analysis" "Advanced Probability Theory," "Martingales and Stochastic Analysis," "Probability Theory," and "Foundations of High-dimensional Probability" to both undergraduate and graduate students, accumulating significant teaching experience. He has been invited to visit several institutions, including the University of Sydney in Australia, the Steklov Mathematical Institute in Russia, Lomonosov Moscow State University, the National University of Singapore, the Fields Institute in Canada, Hong Kong Baptist University, the University of Waterloo in Canada, and the University of York in the UK.