现任天津大学软件学院教授。分别于2005年和2010年在哈尔滨工业大学获得硕士和博士学位。2011年至2013年，在哈尔滨工业大学深圳研究生院计算机科学系从事博士后研究工作。2016年，曾作为访问学者赴英国萨里大学视觉、语音与信号处理中心（CVSSP）进行学术交流。

主要研究方向为时间序列建模及其在天气预报、负荷预测、功率预测和故障诊断等领域的应用。近几年主要开展时序基础模型、时序agent以及时序自主学习、持续学习、强化学习方面的研究工作。

I am currently a professor in the School of Software at Tianjin University. I received my M.S. and Ph.D. degrees from Harbin Institute of Technology (HIT), Harbin, China, in 2005 and 2010, respectively. From 2011 to 2013, I worked as a Postdoctoral Fellow in the Department of Computer Science at HIT's Shenzhen Graduate School. In 2016, I was an Academic Visitor at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey. 

My research interests center on time series modeling and its applications, particularly in weather forecasting, load forecasting, power forecasting, and fault diagnosis. In recent years, my research has mainly focused on time series foundation models, time series agents, as well as self‑supervised learning, continual learning, and reinforcement learning for time series.