Dr Vu Van Manh
About
Mr. Vu Van Manh is an associate professor of Earth Science at VNU University of Science, Vietnam National University since 2012. He received his diploma in Environmental Management for Developing and Emerging Countries at the Technical University Dresden, Germany, MSc. on Environmental Sciences and PhD. in Natural Resources Management at Vietnam National University in 2004. From 2007 to 2012, he carried out his postdoctoral research at the Technical University Dresden, Ruhr Bochum University, Rostock University and Leibniz Institute of Ecological Urban and Regional Development, Germany. He was visiting scholar on environmental informatics at the Indiana University, USA in 2013. Currently, he is the coordinator of the Erasmus+ Office. He also is former Head of the Department of Environmental Management and one of the founders of the Research Center for Environmental Monitoring and Modeling, VNU University of Science. For his effort, he was awarded 1st Prize at Vietnam Innovation Day on Innovations for Environmental Actions by the Ministry of Natural Resources & Environment and World Bank in 2005. In 2020 he was awarded a Medal for his dedication to natural resources and the environment of Vietnam by the Ministry of Natural Resources & Environment.
Research interests
Assoc. Prof. Vu Van Manh was coordinator of series of Summer Schools on environmental monitoring and modeling, environmental planning, Geoinformatics since 2007. In addition, he has been a national coordinator, coordinator, co-coordinator of many international research projects funded by the European Union, the German Academic Exchange Service, the Federal Ministry of Education and Research, UNESCO.
He is the author/co-author of more than 60 publications and Pi/Co-PI of more than 40 scientific research projects. Most of these research topics are environmental monitoring & modeling (geostatistics, system thinking, niche model, and dynamics model), geo-informatics (Geographical Information System, Remote Sensing, and Geodesy), applying AI and machine learning in environmental planning and natural resources management.