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ChengAo Shen is currently pursuing his PhD at the University of Houston under the guidance of Professor Jingchao Ni. His research primarily focuses on applying machine learning and data science methods for time series data prediction and anomaly detection. Additionally, he is actively investigating the use of data science techniques to explore causal relationships between entities in different fields, aiming to develop new methods for causal discovery. He is also highly interested in applying large language models (LLMs) to time series analysis and causal discovery problems.
Prior to his doctoral studies, ChengAo earned a Bachelor of Science degree in Information and Computing Science from Sichuan Agricultural University in 2024. During his undergraduate years, he worked under the supervision of Professors Zhaoli Shen and Houhui Huang. For a more comprehensive overview of his academic and professional background, please refer to his CV.
Ph.D. Computer Science
University of Houston
BSc Information and Computing Science
Sichuan Agricultural University
I am currently a Ph.D. student at the University of Houston, with my primary research areas including:
Time Series: Developing advanced techniques for forecasting and anomaly detection in complex temporal data across various domains
Causal Discovery: Uncovering hidden cause-effect relationships in time series data and designing innovative causal inference models
LLMs: Harnessing the power of Large Language Models to enhance time series analysis and facilitate causal discovery in temporal data
I hope that my research can help us better predict the future, and by applying new algorithms to different industrial fields, drive the development of various industries.
In the upcoming Fall of 2024, I will be completing my undergraduate studies and beginning my Ph.D. journey. To better present my academic experience and personal information, I have used Hugo to create a new personal homepage (which is the page you are currently viewing)!