YiFan is currently a Postdoctoral Fellow in QAAFI's CropPhen project and will mainly focus on developing an integrated crop phenology prediction model from the fusion of sensing technologies and application of machine learning algorithms.

YiFan Zhang received the B.Eng. and M.Eng degrees in systems engineering from Beijing University of Aeronautics and Astronautics, Beijing, China in 2008 and 2011, respectively, and the PhD degree in data science from Queensland University of Technology, Brisbane, Australia, in 2016. From 2017 to 2020, he worked as a Postdoctoral Fellow with CSIRO, Agriculture & Food. His work focused on applying machine learning in processing spatiotemporal environmental sensor data. The applications include water quality forecasting, sensor data imputation and spatiotemporal feature learning. 

Researcher biography

YiFan Zhang received the B.Eng. and M.Eng degrees in systems engineering from Beijing University of Aeronautics and Astronautics, Beijing, China in 2008 and 2011, respectively, and the Ph.D degree in data science from Queensland University of Technology, Brisbane, Australia, in 2016. From 2017 to 2020, he worked as a Postdoctoral Fellow with CSIRO, Agriculture & Food. He is currently a Postdoctoral Fellow in the University of Queensland, QAAFI. His research interests include artificial intelligence, time series modeling, image processing, cloud computing and the Internet of Things.