Upcoming talks

Kathryn Hess Bellwald

Topological insights in neuroscience
April 30th, 2020

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

Mazyar Mirrahimi – The quest for long-lived quantum bit
 
Mazyar Mirrahimi – The quest for long-lived quantum bit
January 30th, 2020 The field of quantum information processing (quantum computation and quantum communication) has grown considerably in recent decades. Numerous proof-of-principle experiments on small-scale quantum systems (few physical degrees of freedom) have been carried out in various physical frameworks such as NMR (nuclear magnetic resonance), trapped ions, linear optics and superconducting circuits. In spite…
Bertrand Meyer –  How to build quality software: the Eiffel experience
 
Bertrand Meyer – How to build quality software: the Eiffel experience
Wednesday, December 18th, 2019 With society’s growing reliance on IT systems, the ability to write high-quality software is ever more critical. While a posteriori verification techniques have their role, there is no substitute for methods and tools that provide built-in quality (“correctness by construction”) and scale up to very large systems. For several decades my…
Alexei A. Efros – Self-Supervised Visual Learning and Synthesis
 
Alexei A. Efros – Self-Supervised Visual Learning and Synthesis
Thursday, November 28th, 2019 Computer vision has made impressive gains through the use of deep learning models, trained with large-scale labeled data. However, labels require expertise and curation and are expensive to collect. Can one discover useful visual representations without the use of explicitly curated labels? In this talk, I will present several case studies…
Luca Aceto – Theoretical Foundations for Runtime Monitoring
 
Luca Aceto – Theoretical Foundations for Runtime Monitoring
Tuesday, Sept.10th, 2019 – 11:00 am Runtime monitoring/verification is a lightweight technique that complements other verification methods in a multi-pronged approach towards ensuring software correctness. The technique poses novel questions to software engineers: it is not easy to see which specifications are amenable to runtime monitoring, and it is not clear which monitors perform the…
Laurence Calzone – Cancer network modelling: towards personalised medicine
 
Laurence Calzone – Cancer network modelling: towards personalised medicine
June 13th, 2019 Personalised medicine is one of the challenges of systems biology. If some clinical trials have already explored the possibility to treat patients individually based on their genomic profiles, there are more and more attempts to use mathematical models as an aid to select therapies in the clinics. The purpose of these models…
Alexandra Silva – CoNeCo: Concurrency, Networks and Coinduction
 
Alexandra Silva – CoNeCo: Concurrency, Networks and Coinduction
May 16th, 2019 In recent years, concurrent Kleene algebra (CKA), an extension of Kleene Algebra (KA) that includes concurrent composition as a first-class citizen, has been proposed by Hoare et al. as a setting to study the algebraic properties of concurrent composition as an operator on programs.  Orthogonally, based on KA, Foster et al proposed…
Andrew Stuart – The Legacy of Rudolph Kalman
 
Andrew Stuart – The Legacy of Rudolph Kalman
March 28th, 2019 In 1960 Rudolph Kalman published what is arguably the first paper to develop a systematic, principled approach to the use of data to improve the predictive capability of mathematical models. As our ability to gather data grows at an enormous rate, the importance of this work continues to grow too. The lecture will describe this…
Anne Siegel – Reasoning over large-scale biological systems with heterogeneous and incomplete data
 
Anne Siegel – Reasoning over large-scale biological systems with heterogeneous and incomplete data
February 7th, 2019 Data produced by the domain of life sciences in the next decade are expected to be highly challenging. In addition to scalability issues which are shared with other applications domains, data produced in life sciences have very specific characteristics: multi-scale, incomplete, heterogeneous but somehow interdependent. This makes data-mining methods less efficient than…