CEMSE Weekly Updates - October 27, 2026 Tue, Oct 27 2026 Newsletter Upcoming Events Stay informed about the upcoming events and the latest news from CEMSE. On the Difficulties of Assessing Statistical Privacy Christian P. Robert, Full Professor, Department of Applied Mathematics (CEREMADE), Paris Dauphine-PSL University; Nov 1, 12:00 - 13:00 B9 R2325 Bayesian Statistics statistical privacy privacy bayesian adversial privacy This distinguished lecture examines the limitations of statistical disclosure control and differential privacy and explores robust, deliberately insufficient statistics combined with Bayesian inference as an alternative approach to protecting individuals in shared data. DLS-Based Sunlight Communication: From Theory to Prototype Yuxiang Liu, Ph.D. Student, Electrical and Computer Engineering Nov 1, 13:00 - 14:30 B1 R4214 optical wireless communication systems MIMO SISO energy efficiency hardware design This thesis presents the Sun-Fi system, an indoor OWC architecture that modulates natural sunlight through a DLS array integrated into building window glass, delivering communication, illumination, and positioning services with ultra-low transmit-side energy consumption. Quantum Communications Salama Ikki, Full Professor, Electrical and Computer Engineering Department, Lakehead University (LakeheadU), Canada Nov 2, 12:00 - 13:00 B9 R2325 wireless communication quantum communication cyber-physical systems quantum states superposition Quantum Measurements This seminar introduces the basic principles of quantum communication from a physical-layer perspective. Bayesian Decision-Theoretic Privacy Christian P. Robert, Full Professor, Department of Applied Mathematics (CEREMADE), Paris Dauphine-PSL University; Nov 2, 12:00 - 13:00 B3 R5209 Data Privacy statistical privacy bayesian adversial privacy privacy-preserving machine learning privacy-preserving AI bayesian methods This seminar introduces two Bayesian decision-theoretic frameworks, persuasive privacy and Bayesian adversarial privacy, that quantify statistical privacy by evaluating how data releases influence adversarial beliefs and decisions while offering contextual alternatives to conventional differential privacy. KAUST Statistics Research Day Nov 3, 08:55 - 16:30 B19, Hall1 Bayesian Statistics Biostatistics spatial statistics geospatial statistics computational statistics extreme statistics Join KAUST Statistics Research Day to explore the latest work by KAUST researchers in statistical modeling, machine learning, biostatistics and spatial analysis. Wavelet-Based Modeling of Dependence Structures in Nonstationary Multivariate Time Series Haibo Wu, Ph.D. Student, Statistics Nov 4, 15:00 - 17:00 B3 R5209 Wavelets dynamical modeling Time Series Time Series Analysis multivariate nonstationary extreme data multivariate statistics This thesis develops a unified wavelet-based statistical framework for modeling time-varying, multiscale dependence structures in nonstationary multivariate time series, to establish a rigorous and versatile statistical foundation for wavelet-based dependence analysis, progressing from pairwise crossscale coherence to canonical and partial canonical coherence between sets of signals. Aeroacoustic Noise Prediction: From Low- to High-Fidelity Modelling Luca Galimberti, Ph.D. Student, Applied Mathematics and Computational Science Nov 5, 12:00 - 13:00 B9 R2325 aeroacoustics Computational modeling aircraft noise This talk explores the physical mechanisms of aircraft noise generation and the computational modelling strategies used to predict and understand them across different levels of fidelity.
