Siamak Mehrkanoon is an Assistant Professor at Utrecht University. Previously,  he was an Assistant Professor at Maastricht University. He received his PhD degree in Machine Learning in 2015 at KU Leuven, Belgium. He was a visiting researcher at the Department of Automation at Tsinghua University, Beijing, China, in 2014, a Post-Doctoral Research Fellow at University of Waterloo, Waterloo, ON, Canada, from 2015 to 2016, and a Visiting Post-Doctoral Researcher at Cognitive Systems Laboratory, University of Tübingen, Tübingen, Germany, in 2016. He was an FWO Post-Doctoral Research Fellow at Stadius Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven from 2017-2018. He has received several Fellowships/Grants for supporting his scientific researches, including PDM from KU Leuven and prestigious Fund for Scientific Research from FWO Flanders. His research develops methodological advances in deep learning for learning from complex real-world systems. These methods are applied to challenging domains including environmental and geoscientific systems (e.g., weather and precipitation nowcasting), health and life sciences, as well as data-driven modeling of complex systems. He serves as an Associate Editor for Neurocomputing and is a member of the European Laboratory for Learning and Intelligent Systems (ELLIS).