As part of the workshop, participants are invited to submit a detailed abstract for possible oral or poster presentation. During the selection process, the committee is keen to give the best possible visibility to doctoral students, researchers and teacher-researchers. When submitting your application by e-mail (maths-ia@inria.fr), please include the following details: surname/first name, institution, status, title/abstract.

Financial support for the mission may be granted by the committee upon justified request.
Application deadline: February 20, 2025.

• 9am - 10am | Keynote 1 : Radu Stoica (Inria Nancy, Elie Cartan de Lorraine Institute)

Random structures and patterns in spatial data
through marked point processes with interactions

Abstract : the useful information contained in space-time data is often represented by geometric structures and patterns. geometric structures and patterns. One example is the filaments or clusters of galaxies in our universe. The filaments or clusters of galaxies in our universe are a case in point. Two situations need to be taken into account. Firstly, the pattern of interest is hidden in the data set, so it must be detected. Secondly, the structure of interest is observed, so it needs to be appropriately characterized. Probabilistic modeling and Bayesian statistical inference are approaches that can provide answers to these questions. This talk presents the use of marked point processes to detect and characterize such structures. Tagged point processes with interactions are used to model the pattern of interest. The proposed models are well-defined and locally stable. Depending on the model, Monte Carlo and exact algorithms are discussed to simulate the proposed models. Based on these ingredients, a global optimization and a posteriori sampling algorithm are presented to detect and characterize the model of interest, respectively.  Application examples in astronomy and environmental sciences are also presented.

Biography: Radu S. Stoica is Full Professor of Mathematics at the University of Lorraine (France). His research combines stochastic geometry, spatial statistics and Bayesian inference for probabilistic modeling and statistical description of random structures and patterns. The results of his work consist of data-adaptive methods, based on Gibbs-Markov models, Monte Carlo algorithms and inference procedures, capable of characterizing and detecting structures and patterns that are either hidden or directly observed in the data. Areas of application include astronomy, geosciences, image analysis and network sciences. Prior to his current position, Radu Stoica was Associate Professor at the University of Lille (France). He has also worked as a researcher at INRAe Avignon (France), Jaume I University (Spain) and CWI Amsterdam (Netherlands).

• 10am - 10:30am | Coffee Break

• 10:30am - 11:30am | Keynote 2 : Pietro Congedo (Inria Saclay, CMAP) 

• 11:30am - 12:15pm | Short contributive talks (20mn)

• 12:15pm - 1:45pm | Lunch Break

• 1:45pm - 2:45pm | Keynote 3 : Yingzhen Li (Imperial College London, UK)

• 2:45pm - 3:30pm | Sweet Break

• 3:30pm - 5pm | Short contributive talks (20mn)