Upcoming talks

Designing and Building Adaptive Genetic Control Systems

Mustafa Khammash (ETH Zurich)
March 14th, 2024

A multi-scale model hierarchy for material flow problems

Simone Göttlich (Univ. of Manheim)
April 18th, 2024

Des systèmes de numération pour le calcul modulaire

Jean-Claude Bajard (Sorbonne Université Paris)
May 16th, 2024
A series of monthly lectures, The Jacques Morgenstern Colloquium exhibits the most active, most promising research in the field of Information and Communication Science and Technology (ICST).

The lectures cover current research, new applications, as well as industrial and social challenges. The invited speakers are established senior experts of international stature in computer science, mathematics, and other fields where ICST plays a crucial role.

The colloquium is addressed to all researchers, engineers and students who want to better understand the future of IST. It is intended to create awareness and interest and to promote interdisciplinary discussions and collaborations.

The colloquium is named after Jacques Morgenstern, a professor of mathematics at the University of Nice Sophia-Antipolis and one of the pioneers in algebraic complexity and computer algebra. He headed a joint team of CNRS, Inria and the University of Nice until he died tragically in 1994.

The colloquium is part of the training at Ecole Doctorale STIC. Free entrance.

Our recent speakers

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,…