The Editors

Olivier Lézoray (http://www.info.unicaen.fr/~lezoray) received his B.Sc. in mathematics and computer science, M.Sc. and Ph.D. degrees from the Department of Computer Science, University of Caen, France, in 1992, 1996, and 2000, respectively. From September 1999 to August 2000, he was an assistant professor with the Department of Computer Science at the University of Caen. From September 2000 to August 2009, he was an associate professor at the Cherbourg Institute of Technology of the University of Caen, in the Communication Networks and Services Department. In July 2008, he was a visiting research fellow at the University of Sydney. Since September 2009, he has been a full professor at the Cherbourg Institute of Technology of the University of Caen, in the Communication Networks and Services Department. He also serves as Chair of the Institute Research Committee. In 2011 he cofounded Datexim and is a member of the scientific board of the company, which brought state-of-art image and data processing to market with applications in digital pathology. His research focuses on discrete models on graphs for image processing and analysis, image data classification by machine learning, and computer-aided diagnosis. He is a contributor to four books, and he has published over 100 papers in refereed journals and conference proceedings in the areas of image processing and machine learning. In 2008, he received the IBM Best Paper Student Award at ICIP 2008 with V-T. Ta and A. Elmoataz. Dr. Lézoray is a member and Local Liaison Officer of the European Association for Signal, Speech and Image Processing (EURASIP), the IEEE Signal Processing Society’s, the IEEE Communication Society Multimedia Communications Technical Committee, and the International Association for Pattern Recognition (IAPR). He was the program cochair of the International Conference on Image and Signal Processing (ICISP) in 2008, 2010, and 2012. He was a guest coeditor of the EURASIP Journal on Advances in Signal Processing for a special issue on Machine Learning in Image Processing, of Signal Processing for a special issue on the Processing and Analysis of High-Dimensional Masses of Image and Signal Data, and of Computerized Medical Imaging and Graphics for a special issue on Whole Slide Microscopic Image Processing. He serves as a reviewer for various scientific international journals.

Leo Grady (http://cns.bu.edu/~lgrady) received his B.Sc. degree in electrical engineering from the University of Vermont in 1999 and a Ph.D. degree from the Cognitive and Neural Systems Department at Boston University in 2003. Since autumn 2003 he has been with Siemens Corporate Research in Princeton, where he works as a Principal Research Scientist in the Image Analytics and Informatics division. The focus of his research has been on the modeling of images and other data with graphs. These graph models have generated the development and application of tools from discrete calculus, combinatorial/continuous optimization, and network analytics to perform analysis and synthesis of the images/data. The primary applications of his work have been in computer vision and biomedical applications. This work has led to the publication of the book Discrete Calculus with Jonathan Polimeni (Springer 2010), which provides an introduction to the topic of discrete calculus and details how it may be applied to solve a wide range of applications drawn from different scientific domains. In addition to this book, he has published 10 journal papers, more than 20 full-length papers in top peer-reviewed conferences, as well as invited chapters to three books and papers in smaller conferences. He currently holds 25 granted patents with more than 40 additional patents currently under review. Dr. Grady has served on grant panels for the U.S. government and as a program committee member for several international conferences, including Computer Vision and Pattern Recognition (CVPR), European Conference on Computer Vision (ECCV), and Medical Image Computing and Computer Assisted Intervention (MICCAI), as well as several workshops, including Interactive Computer Vision, Perceptual Organization for Computer Vision, Structured Models in Computer Vision, Information Theory in Computer Vision, and Pattern Recognition. He has given invited lectures on his research at over 30 international academic and industrial laboratories, as well as plenary talks for the Workshop on Graph-Based Representations in Pattern Recognition, International Symposium on Mathematical Morphology (ISMM), and the International Conference on Image and Signal Processing (ICISP). Dr. Grady has contributed to over 20 Siemens products that target biomedical applications and that are used in medical centers worldwide.