一、个人简历：
孙克雷，男，博士，副教授，硕士导师，2010年毕业于中国矿业大学（北京）获计算机应用博士学位。2001年至今任教于安徽理工大学，2012年获得硕士生导师资格，首批校中青年学术骨干人选。2011年至2013年，安徽理工大学博士后。2019年至2020年，悉尼科技大学访问****，从事推荐算法和机器学习方面的研究。IEEE Intelligent Systems、Data Science and Analytics等国际期刊审稿人。
二、研究方向：
推荐系统、机器学习、矿业计算机应用
三、承担的科研课题及研究成果：
1.主持安徽省自然科学基金项目“基于非线性组合的瓦斯突出预测模型研究”；
2.主持安徽省教育厅自然科学基金重点项目“基于信息融合的煤与瓦斯突出预测系统研究”；
3.主持安徽省博士后基金“基于信息融合的煤与瓦斯突出敏感指标关联性研究”；
4.参与清华大学合肥公共安全研究院技术开发委托课题 “深埋管道燃气泄漏声波及多场溯源定位研究”。
四、发表论文、论著及发明专利：
[1] Sun Kelei, Shen Huali, Yu Jiaming, Zhang Shunxiang. Recommendation algorithm based on latent semantic of tags. Advances in Intelligent Systems and Computing, v 842, p 230-238, 2018, International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018.
[2] Sun Kelei, Shen Huali. Recommendation Algorithm Based on User Multiple Association Information and Item Clustering. Journal of Anhui University of Science and Technology( Natural Science). 2018, 38(5), 57-64.
[3] Sun Kelei, Chen Kang, Tian Jin, Liu Jing. Vehicle Illumination Denoising Algorithm Based on Improved Non-local Mean Filtering under Low Illumination. Journal of jinling institute of technoloty. 2018, 34(4), 15-20.
[4] Sun Kelei, Wang Yan. Collaborative filtering algorithm based on user feature and time witghts. Journal of Anhui Jianzhu University. 2018, 26(1), 55-60.
[5] Sun Kelei, Chen Andong. Research on personalized recommendation algorithm based on user interest. Journal of Anhui Jianzhu University. 2017, 25(1), 65-69.
[6] Sun Kelei, Deng Xianrong. A Recommendation Model for O2O E-commercebased on Improved Gradient Boosting Regression Trees. Journal of Anhui Jianzhu University. 2016, 24(2), 87-91.
[7] Sun Kelei, Zhu Xiaojuan,Zhou Huaping. Research on new nonlinear method applied on coal calorific value prediction. Applied Mechanics and Materials, v 278-280, p 915-919, 2013, Advances in Mechatronics and Control Engineering.
[8] Sun Kelei, Gu Rongrong, Zhou, Huaping. Prediction of coal calorific value based on a hybrid linear regression and support vector machine model. Advances in Intelligent Systems and Computing, v 212, p 883-890, 2013, Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013
五、联系方式
通讯地址：安徽省淮南市泰丰大街168号安徽理工大学计算机科学与工程学院，232001
电子邮箱：klsun@aust.edu.cn。