Upcoming talks

Alexei A. Efros

Self-Supervised Visual Learning and Synthesis
November 28th, 2019

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

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...
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....
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...
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...
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...
Rida Laraki – Majority judgment: a new voting method
 

Rida Laraki – Majority judgment: a new voting method

December 11th 2018 The traditional theory of social choice offers no acceptable solution to the problems of how to elect, to judge, or to rank. The classical model —transforming the “preference lists” of individuals into a “preference list” of society— is fundamentally flawed in both theory and practice. We propose...