MSTIC / PERSYVAL Scientific Conference 2024

Program

Morning (at MaCI)

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

Lunch break (at IMAG)

• 12:00 PM–2:00 PM: Buffet (Conference Area) and poster presentation with doctoral students (Seminar 2)

Afternoon (at MaCI)

• 2:00–3:15 p.m.: Presentation by Serge Abiteboul – Digital Commons
• 3:15–3:30 p.m.: Presentation of PERSYVAL-3 by Sophie Quinton and Maud Rio – The new ICT-S initiative
• 3:30–4:50 p.m.: Presentations on IRGA projects and PERSYVAL action teams
  • 3:30 p.m.: DAMon (Mirko Fiacchini)
    : Data-Based Anesthesia Monitoring
  • 3:50 p.m.: CLAM (Paolo Maistri)
    : Cross-Layer Fault Analysis for Microprocessor Architectures
  • 2:10 p.m.: ON ROUTE (Alain Kibangou and Tommaso Toso)
    Online Routing Recommendations in Multimodal Transportation: Impact, Potential Shortcomings, and Their Mitigation
  • 4:30 p.m.: PaDeSoH (Antoneta Bratcu and Iulian Munteanu)
    : Toward 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
• 4:50–5:05 p.m.: Acknowledgments to the former directors of PERSYVAL and MSTIC
• 5:05–5:45 p.m.: Cocktail reception

Ph.D. student posters

• Louise Alamichel - Nonparametric 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 Computation on Heterogeneous Geometric Data
• Yibo Zhang - Four-dimensional varieties with fiberations
• Irman Faqrizal - Monitoring and Deployment of IIoT Applications
• Anderson Augusma - Multimodal perception and statistical modeling of classroom teaching events using a non-individualized, privacy-preserving approach
• Julien Prando - Distributionally Robust Shape and Topology Optimization Using Wasserstein Distance
• Weikang Zeng - Lifelong development of representations for artificial agents