DCABES

15th International Symposium on Distributed Computing and Applications to Business, Engineering and Science (DCABES 2016)

August 24-26, 2016 - Paris, France

Program

Current full version program

Keynote Speakers

Keynote 1: Sándor P. Fekete

Braunschweig University of Technology, Braunschweig, Germany
Keynote 1: Sándor P. Fekete

Sándor P. Fekete holds the chair for Algorithmics in the Department of Computer Science, Braunschweig University of Technology, Braunschweig, Germany; he serves as director of the interdisciplinary Center for Informatics and Information Technology of TU Braunschweig (tubs.CITY), which brings together 25 professors and their institutes.
He received the master's degree (Diploma) in mathematics from the University of Cologne, Cologne, Germany, in 1989, and the Ph.D. degree in combinatorics and optimization from the University of Waterloo, Waterloo, ON, Canada, in 1992, both as a Fellow of the German National Merit Foundation (GNMF). Following work as a Postdoctoral Research Fellow in computational geometry (SUNY Stony Brook, 1992-1993), he joined the Center for Parallel Computing of the University of Cologne (1993-1999), receiving his habilitation in 1998. After working as an Associate Professor with the Mathematical Optimization Group, TU Berlin (1999-2001), he was a Professor for Mathematical Optimization, Braunschweig (2001-2007), until being appointed to the newly created chair for Algorithmics.
His main interests lie in computational geometry, combinatorial optimization, graph algorithms, distributed algorithms, and various applications in computer science, engineering, and economics, such as sensor networks, robot navigation, or traffic control. He has published over 200 peer-reviewed papers with over 200 coauthors, in publications such as the Journal of the ACM, the SIAM Journal on Computing, Algorithmica, Mathematical Programming, Discrete and Computational Geometry, the Journal of Algorithms, and Operations Research; his h-factor according to Google Scholar is 40. He has also served on program committees for numerous conferences, including the top-ranking algorithmic meetings SODA, ESA, and SoCG (as co-chair in 2016), and as a reviewer for over 40 journals.


Keynote 2: Juan-Pablo Ortega

Faculty of Mathematics and Statistics, University of St. Gallen, Switzerland
Keynote 2: Juan-Pablo Ortega

Juan-Pablo Ortega is a professor at the Faculty of Mathematics and Statistics at the University of St. Gallen (Switzerland) and he is in charge of the Big Data initiative of the institution. He holds a Masters degree in Theoretical Physics from the Universidad de Zaragoza (Spain), a PhD in Mathematics from the University of California, Santa Cruz, and an Habilitation diploma from the Université de Nice (France). He has worked for the EPF Lausanne (Switzerland) and for the French Centre National de la Recherche Scientifique (CNRS) as a senior scientist, where he is now on leave.
Juan-Pablo started his academic career working on geometric mechanics, a subject in which he is at the origin of important contributions in relation with the existence and stability of solutions of symmetric systems and is the founding editorial co-manager of the journal of reference in the field.
More recently, he has worked on statistical modeling with specific applications to financial econometrics, physiological signal treatment and analysis, and industrial diagnosis and prognosis problems. Just to give an idea of his interests, with the help of his collaborators he has developed novel estimation techniques for parametric multivariate volatility models, he has introduced new stochastic discount factors that improve state-of-the-art pricing and hedging techniques for financial derivatives, and has devised innovative multistep forecasting techniques that use the temporal aggregation properties of widely used parametric time series models.
Juan-Pablo Ortega has authored two research monographs (one awarded with an international prize), sixty peer reviewed papers, and has been a speaker in over one hundred international scientific events.