Research Group of Bo Zhang张博老师课题组

Bo Zhang is an Associate Professor at Northwestern Polytechnical University and a visiting scholar at Xi'an Jiaotong University Innovation Harbour. He received his PhD in Earth and Human Settlement Sciences and Engineering from Xi'an Jiaotong University after completing a bachelor's degree in Geographic Information System and Law at Anhui Normal University. From 2018 to 2019, he conducted joint doctoral research at the German Aerospace Center and Technical University of Munich. He then worked as a postdoctoral researcher at Tsinghua University and as an engineer at the National Supercomputing Center in Wuxi before joining Northwestern Polytechnical University in 2022. His research covers multimodal cognitive computing, cross-domain remote sensing, machine learning for Earth observation and deep-learning super-resolution of digital elevation models. He has led projects supported by the National Natural Science Foundation of China, the Shaanxi Young Talent Support Program and the National Key R&D Program, and has served as a reviewer or editorial contributor for journals in remote sensing, atmospheric science and geoscientific modelling. His recent work connects model development with reproducible geospatial data resources for terrain and coastal applications. He has led the construction of the GDEM_2022, AUSDEM_2023 and USA_OD_2025 geospatial data products.张博现任西北工业大学副教授、西安交通大学创新港学院访问学者。2014年至2020年，他在西安交通大学地球与人居环境科学及工程专业攻读博士，获得博士学位；本科就读于安徽师范大学地理信息系统、法学专业。2018年至2019年，他在德国宇航中心和德国慕尼黑工业大学开展联合培养博士研究。之后曾在清华大学从事博士后研究，并在国家超级计算无锡中心担任工程师，2022年加入西北工业大学，2025年起兼任西安交通大学创新港学院访问学者。其研究方向包括多模态认知计算、跨域遥感、地球观测机器学习以及数字高程模型深度学习超分辨率重建，主持国家自然科学基金青年科学基金项目、陕西省青年人才托举计划项目和国家重点研发计划子课题等科研项目，并参与遥感、大气科学与地球系统科学相关期刊的审稿和学术服务。近年来，他将模型研究与可复现的地学数据资源结合，面向地形重建和沿海应用持续开展研究。主持构建了 GDEM_2022、AUSDEM_2023 和 USA_OD_2025 等地学数据产品。