MSTIC / PERSYVAL Scientific Day 2024

Program

Morning (at MaCI)

• 9:00 AM-9:30 AM: Welcome coffee
• 9:30 AM-10:30 AM: Presentation by Gérard Besson - Fundamental Mathematics and AI
• 10:30 AM-11:50 AM: Presentations of IRGA (Grenoble Alpes Research Initiatives) projects and PERSYVAL action teams
  • 10:30 AM: AMORE-MIO (Laurent Doyen)
    Advanced Methods for Reliability and maintenance Evaluation: Models, Inference, Optimization
  • 10:50 AM: MANIP (Dominique Vaufreydaz)
    Modeling and Analysis of Instructional Process
  • 11:10 AM: UCRAN (Arielle Marc-Zwecker)
    Character varieties and spherical CR uniformizations in complex hyperbolic geometry
  • 11:30 AM: SsSONDS (Aya Younes)
    Self-sustained Oscillations in Nonsmooth Dynamical Systems

Lunch break (at IMAG)

• 12:00 PM-2:00 PM: Buffet (Colloquium Area) and Poster exhibition with PhD students (Seminar Room 2)

Afternoon (at MaCI)

• 2:00 PM-3:15 PM: Presentation by Serge Abiteboul - Digital Commons
• 3:15 PM–3:30 PM: PERSYVAL-3 Presentation by Sophie Quinton and Maud Rio - The new ICT-S axis
• 3:30 PM–4:50 PM: Presentations of IRGA projects and PERSYVAL action teams
  • 3:30 PM: DAMon (Mirko Fiacchini)
    Data-based Anesthesia Monitoring
  • 3:50 PM: CLAM (Paolo Maistri)
    Cross-Layer Fault Analysis for Microprocessor Architectures
  • 4:10 PM: ON ROUTE (Alain Kibangou and Tommaso Toso)
    Online Routing Recommendations in Multimodal Transportation: Impact, Potential Shortcomings, and their Mitigation
  • 4:30 PM: PaDeSoH (Antoneta Bratcu and Iulian Munteanu)
    Towards electrochemical-model-based estimation of battery internal states: Single Particle Model (SPM) calibration and SPM-based state of charge (SoC) estimator validated against real data in an electric vehicle use case
• 4:50 PM–5:05 PM: Acknowledgments to former directors of PERSYVAL and MSTIC
• 5:05 PM–5:45 PM: Cocktail reception

PhD student posters

• Louise Alamichel - Non-parametric Bayesian methods for complex genomic data
• Matthieu Cordonnier - Properties of Neural Networks on Large Random Graphs
• Vincent Marguet - B-spline trajectory planning and tracking for multiple unmanned aerial vehicles
• Colin Weill-Duflos - Optimization and discrete calculus on heterogeneous geometric data
• Yibo Zhang - Four-dimensional manifolds admitting fibrations
• Irman Faqrizal - Monitoring and deployment of IIoT applications
• Anderson Augusma - Multimodal perception and statistical modeling of classroom learning events using a privacy-respecting, non-individual approach
• Julien Prando - Distributionally Robust Shape and Topology Optimization with Wasserstein Distance
• Weikang Zeng - Lifelong development of representations for artificial agents