Prochaines conférences

Designing and Building Adaptive Genetic Control Systems

Mustafa Khammash (ETH Zurich)
14 mars 2024

A multi-scale model hierarchy for material flow problems

Simone Göttlich (Univ. of Manheim)
18 avril 2024

Des systèmes de numération pour le calcul modulaire

Jean-Claude Bajard (Sorbonne Université Paris)
16 mai 2024
Série de conférences mensuelles, le Colloquium Jacques Morgenstern expose les recherches les plus actives et les plus prometteuses dans le domaine des Sciences et Technologies de l’Information et de la Communication (STIC).

Les orateurs, français ou étrangers, sont des personnalités de premier plan, informaticiens, mathématiciens ou spécialistes de domaines où l'informatique est appelée à jouer un rôle majeur.

Les exposés couvrent une problématique suffisamment large pour intéresser tous les chercheurs, ingénieurs et étudiants concernés par l’avenir des STIC.

Le colloquium porte le nom de Jacques Morgenstern, professeur de mathématiques à l'Université de Nice Sophia Antipolis, spécialiste de la théorie de la complexité algébrique et l’un des pionniers du calcul formel. Il a dirigé jusqu’à son décès tragique en 1994 une équipe commune à l’Université de Nice Sophia Antipolis, Inria et le CNRS.

Le colloquium est un élément de la formation de l’Ecole Doctorale STIC. Entrée libre.

Nos derniers orateurs

Nelly Litvak – Projection methods for community detection in complex networks
 
Nelly Litvak – Projection methods for community detection in complex networks
December 5th, 2023 Community detection is one of most prominent tasks in the analysis of complex networks such as social networks, biological networks, and the world wide web. A community is loosely defined as a group of nodes that are more densely connected to each other than to the rest of the network. These could…
Robert Harper – A Cost-Aware Logical Framefork
 
Robert Harper – A Cost-Aware Logical Framefork
October 17th, 2023 The computational view of intuitionistic dependent type theory is as an intrinsic logic of (functional) programs in which types are viewed as specifications of their behavior. Equational reasoning is particularly relevant in the functional case, where correctness can be formulated as equality between two implementations of the same behavior. Besides behavior, it…
Petra Mutzel – Graph Similarity
 
Petra Mutzel – Graph Similarity
May 25th, 2023, 11:00 am Bio: Petra Mutzel is professor of Computational Analytics at the University of Bonn, where she is also the scientific director of the High Performance Computing and Analytics Lab at the Digital Science Center. Before she was professor at TU Dortmund University and at Vienna University of Technology. She received her…
Adrian Raftery – Downscaled Probabilistic Climate Change Projections, with Application to Hot Days
 
Adrian Raftery – Downscaled Probabilistic Climate Change Projections, with Application to Hot Days
The climate change projections of the Intergovernmental Panel on Climate Change are based on scenarios for future emissions, but these are not statistically based and do not have a full probabilistic interpretation. Instead, Raftery et al. (2017) and Liu and Raftery (2021) developed probabilistic forecasts for global average temperature change to 2100. I will describe…
Jonathan Ozik – Integrating Simulation, Machine Learning, and High-performance Computing to Support Public Health Decision Making
 
Jonathan Ozik – Integrating Simulation, Machine Learning, and High-performance Computing to Support Public Health Decision Making
March 30th, 2023, 11:00 am The COVID-19 pandemic has highlighted the need for detailed modeling approaches that can capture the many complexities of emerging infectious diseases. In response, our group developed CityCOVID, a distributed agent-based model capable of tracking COVID-19 transmission in large, urban areas. Through partnerships between Argonne National Laboratory, the University of Chicago,…