张浩
副教授
个人简介(300-500字)
国际期刊Frontiers in Sustainable Production编委,第九届未来环境和能源国际会议(ICFEE)技术委员会委员,重庆市经信委专家,重庆市乡村振兴决策咨询专家,国际大气与污染物管理学会(A&WMA)会员,中国过程系统工程学会会员,山西省智能大数据产业技术创新研究院研究员,重庆壤科农业数据服务有限公司技术总监。近年来专注于人工智能在工业物联网、环境大数据、农业多源数据、智慧教育和智慧医疗中的应用,先后在ATMOS ENVIRON、SCI TOTAL ENVIRON和CHEMOMETR INTELL LAB等期刊发表论文近20篇,主持国家自然科学基金1项,获得高等学校虚拟仿真教学资源建设成果奖3项,受邀在全国大数据与人工智能科学大会、环境能源大会(北京)、中国环境科学学会科学技术年会环境大数据分会场作特邀报告。
联系方式
haozhang@swu.edu.cn
研究方向
环境化学大数据、时空大数据建模、故障诊断与过程监测
代表性论文、专著和专利(不超过20项)
1、Sun W, Zhang H, Palazoglu A, et al. Prediction of 24-hour-average PM2.5 concentrations using a hidden Markov model with different emission distributions in Northern California[J]. Science of the total environment, 2013, 443: 93-103.
2、Sun W, Meng Y, Palazoglu A, Zhao J, Zhang H, Zhang J. A method for multiphase batch process monitoring based on auto phase identification[J]. Journal of Process Control, 2011, 21(4): 627-638.
3、Zhang H, Zhang W, Palazoglu A, et al. Prediction of ozone levels using a Hidden Markov Model (HMM) with Gamma distribution[J]. Atmospheric environment, 2012, 62: 64-73.
4、Sun W, Zhang H, Palazoglu A. Prediction of 8 h-average ozone concentration using a supervised hidden Markov model combined with generalized linear models[J]. Atmospheric environment, 2013, 81: 199-208.
5、Sun W, Palazoglu A, Singh A, Zhang H*, Wang Q, Zhao Z, Cao D. Prediction of surface ozone episodes using clusters based generalized linear mixed effects models in Houston–Galveston–Brazoria area, Texas[J]. Atmospheric Pollution Research, 2015, 6(2): 245-253.
6、Zhang H, Palazoglu A, Zhang X, et al. Prediction of surface ozone exceedance days using PCA with a non-parametric T2 control limit[J]. Chemometrics and Intelligent Laboratory Systems, 2014, 133: 42-48.
7、Zhang H*, Yuan H, Liu X, et al. Impact of synoptic weather patterns on 24 h-average PM2.5 concentrations in the North China Plain during 2013–2017[J]. Science of the Total Environment, 2018, 627: 200-210.
8、张浩, 蒋艳斌, 孙巍, 等. 基于广义线性模型的地表臭氧浓度的预测[J]. 清华大学学报 (自然科学版), 2012, 53(3): 336-339.
9、张浩*,于君毅,刘晓慧,雷洪.基于广义隐马尔可夫模型的PM2.5浓度预测[J].化工学报,2018,69(03):1215-1220.