Institute of Science and Technology Austria
Duke University (USA)
Topic of the talk: Persistent Homology in Image Processing
Herbert Edelsbrunner is currently a Professor at the Institute of Science and Technology Austria and a Professor of Mathematics and Computer Science at Duke University. Furthermore, he is Principal and Director of geomagic, which he co-founded in April 1996. The core of Herbert Edelsbrunner’s research is a combination of mathematics and computer science, always driven by relevant questions in applications. During a past shift from geometry to topology (which are related subjects without clear separation), the group noticed an increase in relevant application questions we could address. These include questions in scientific visualization, structural molecular biology, systems biology, but also geometry processing, medical imaging, and orthodontics. The common theme is the importance of shape and the recognition, matching, and classification of shape. Topology is the area within mathematics whose methods most directly speak to that need. Algorithms and computer software are needed to make mathematical insights useful in applications, which is the motivation to study in topology and also geometry from a computational point of view.
Information and picture taken from: http://ist.ac.at/en/research/research-groups/edelsbrunner-group/ and http://pub.ist.ac.at/~edels/
Topic of the talk: A one hour trip in the world of graphs, looking at the papers of the last ten years
Mario Vento is a fellow scientist of the International Association Pattern Recognition (IAPR). Currently he is Full Professor of Computer Science and Artificial Intelligence at the University of Salerno (Italy), where he is the coordinator of the Artificial Vision Lab. From 2002 to 2006 he served as chairman of IAPR Technical Committee TC15 on ”Graph Based Representation in Pattern Recognition”, and from 2003 as associate editor of the ”Electronic Letters on Computer Vision and Image Analysis”. His research interests fall in the areas of Artificial Intelligence, Image Analysis, Pattern Recognition, Machine Learning and Computer Vision. More specifically, his research activity covered Real time Video analysis and interpretation for traffic monitoring and video surveillance applications, Classification Techniques, either Statistical, Syntactic and Structural, Exact and Inexact Graph Matching, Multi-Expert Classification and Learning Methodologies for Structural Descriptions. He authored over 170 research papers in International Journals and Conference Proceedings and serves as referee for many relevant journals in the field of Pattern Recognition and Machine Intelligence.
Information and picture taken from: http://mivia.unisa.it/people/vento/