Erik Meijering MSc, PhD

Erik Meijering is a Professor of Biomedical Image Computing at the School of Computer Science and Engineering. His research focuses on the development of innovative computer vision and machine learning (in particular deep learning) methods for automated quantitative analysis of biomedical imaging data.

He received an MSc degree in Electrical Engineering from Delft University of Technology (Delft, the Netherlands) in 1996 and a Ph.D. degree in Medical Image Analysis from Utrecht University (Utrecht, the Netherlands) in 2000. Before coming to the University of New South Wales (UNSW, Sydney, Australia) in 2019, he was a Postdoctoral Fellow at the Swiss Federal Institute of Technology (Lausanne, Switzerland) from 2000-2002, an Assistant Professor at Erasmus University Medical Center (Rotterdam, the Netherlands) from 2002-2008, and an Associate Professor at the same institute from 2008-2019.

Since 2019 he is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE). Within IEEE he is a member of the Signal Processing Society (SPS) and the Engineering in Medicine and Biology Society (EMBS) and served/serves on the SPS Technical Committee on Bio Imaging and Signal Processing (BISP) (2005-2010 and 2017-2020), the SPS Technical Directions Board (2018-2019), the EMBS Technical Committee on Biomedical Imaging and Image Processing (BIIP) (since 2007), and the cross-Society IEEE Life Sciences Technical Community (LSTC) (since 2018).

Over the years he was/is an Associate Editor for the IEEE Transactions on Medical Imaging (since 2004), the International Journal on Biomedical Imaging (2006-2009), the IEEE Transactions on Image Processing (2008-2011), has co-edited various journal special issues on topics related to biomedical imaging, and has co-organized various conferences in the field, notably the IEEE International Symposium on Biomedical Imaging (ISBI 2002, 2004, 2006, 2010, 2015, 2018). He also served/serves on a great variety of international conferences, advisory, and review boards.