博士、教授、硕士生导师。曾赴美国乔治梅森大学从事博士后研究，伊利诺伊大学香槟分校访问学者。现任南京邮电大学物联网学院副院长，兼聘为国家自然科学基金评审专家、江苏省xx融合办公室专家库成员、中国测绘学会教育工作委员会委员、江苏省测绘地理信息学会理事等。长期从事测绘遥感地理信息专业教学研究，主要研究方向为时空智能方法与应用，主持或参与省级以上纵向课题5项，完成多项企业委托项目，在《IEEE TGRS》《Sustainable Cities and Society》《测绘学报》等国内外核心期刊发表学术论文50余篇，其中SCI/EI收录20余篇；授权/申请发明专利10余项。曾荣获全国高校GIS教学成果一等奖、全国高校混合式教学设计创新大赛一等奖、江苏省高校教师教学创新大赛一等奖、江苏省地理信息科技创新奖二等奖、江苏省测绘地理信息科技进步奖三等奖、江苏省人工智能学会科技奖技术应用奖、全国大学生测绘学科创新创业智能大赛特等奖优秀指导教师等多项荣誉。

[1] Miao Lizhi, Jvmin Wang, Kaiwen Wu, Heng Xu, Xiying Sun, Gang Lu, and Mei-Po Kwan. 2025. Spatiotemporal Hybrid Deep Learning for Estimating and Analyzing Carbon Stocks: A Case Study in Jiangsu Province, China[J]. International Journal of Digital Earth 18 (1). doi:10.1080/17538947.2025.2534008.

[2] Lizhi Miao, Xinting Li, Xinxin Zhou, Ling Yao, Yamei Deng, Tian Hang, Yuchao Zhou, Haozhou Yang. SNUNet3+: A Full-Scale Connected Siamese Network and A Dataset for Cultivated Land Change Detection in High-Resolution Remote-Sensing Images [J]. IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-18, 2024, Art no. 4400818, doi: 10.1109/TGRS.2023.3344284.

[3] Lizhi Miao, Xinting Li, Dingyu Yu, Yanhui Ren, Yi Huang, Shusheng Cao. Integrating users’ long-term and short-term interests with knowledge graph to improve restaurant recommendation[J]. Journal of King Saud University – Computer and Information Sciences,2023,35(9),101735.

[4] Lizhi Miao, Sheng Tang, Xinting Li, Dingyu Yu, Yamei Deng, Tian Hang, Haozhou Yang, Yunxuan Liang, Mei-Po Kwan, Lei Huang. 2023. Estimating the CO2 emissions of Chinese cities from 2011 to 2020 based on SPNN-GNNWR [J]. Environmental Research,2023,115060.

[5] Lizhi Miao, Sheng Tang, Yanhui Ren, Mei-Po Kwan, Kai Zhang. Estimation of daily ground-level PM2.5 concentrations over the Pearl River Delta using 1 km resolution MODIS AOD based on multi-feature BiLSTM [J]. Atmospheric Environment,2022.

[6] Lizhi Miao, Chengliang Liu, Xin Yang, Mei-Po Kwan, Kai, Zhang. Spatiotemporal heterogeneity analysis of air quality in the Yangtze River Delta China[J]. Sustainable Cities and Society,2022,78(3):1-13

[7] 苗立志,黄润汕,周亚,等. 基于OGC SOS标准的多传感器观测数据共享方法研究[J].传感技术学报, 2015,28（10）:1545-1551.