Organizing a special issue of Signal Processing: 'Signal Processing and Learning with Manifolds and Lie Groups' (Call for papers, October 2025)
Supervised student work presented at EUSIPCO 2025; Minh’s paper 'Riemannian Q-functions for policy iteration in reinforcement learning' was a finalist for the best student paper award
Multiple student preprints published on arXiv and TechRxiv (e.g., Thien on tensor trains, Kyohei on sparse reinforcement learning, Minh on online RL with Gaussian mixtures, Kotaro on robust invariant representation learning)
Thien’s paper on edge flow imputation in graphs accepted by Signal Processing (April 2025)
Thien’s conference paper on dynamic graph flow estimation accepted at APSIPA ASC 2025 (October 2025)