田江雪，女，讲师，郑州大学信息工程硕士，杜伦大学应用语言学硕士，首都经济贸易大学管理学博士，主要研究方向为安全管理、信息管理、人工智能。

曾发表SCI论文A Risk Assessment Model of Gas Pipeline Leakage Based on a Fuzzy Hybrid Analytic Hierarchy Process；An AI-Driven fire risk forecasting framework for urban villages using IGWO-Optimized LSTM with incremental learning；核心期刊论文《基于改进灰狼优化BP网络的城中村火灾预测》等。

曾获第六届高校教师教学创新大赛校赛一等奖。

Tian Jiangxue, female, lecturer. She holds a Master's degree in Information Engineering from Zhengzhou University, a Master's degree in Applied Linguistics from Durham University, and a Ph.D. in Management from Capital University of Economics and Business. Her primary research interests include safety management, information management, and artificial intelligence.

She has published SCI papers: "A Risk Assessment Model of Gas Pipeline Leakage Based on a Fuzzy Hybrid Analytic Hierarchy Process," and another paper: "An AI-Driven Fire Risk Forecasting Framework for Urban Villages Using IGWO-Optimized LSTM with Incremental Learning." She has also published a core journal paper on fire prediction in urban villages based on an improved grey wolf optimization BP neural network.

She was awarded the first prize in the university-level competition of the 6th National College Teaching Innovation Competition.