2026
Preprint
Publications
Research behind my work on trustworthy AI: Bayesian and federated learning, reliable information sharing, mixed-reality safety, and resilient sensing. Browse the selected papers by topic or search by title, author, venue, or year.
11 selected publications
2026
A Bayesian Framework for Clustered Federated Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence · 48(3), 3471–3481
2026
Robust Engagement Estimation in Mixed Reality Under Cognitive Attack
IEEE Transactions on Visualization and Computer Graphics · ISMAR 2026
2026
DPMM-CFL: Clustered Federated Learning via Dirichlet Process Mixture Model Nonparametric Clustering
IEEE International Conference on Acoustics, Speech and Signal Processing
Accepted
2025
Probabilistic Verification of Cybersickness in Virtual Reality Through Bayesian Networks
IEEE International Symposium on Mixed and Augmented Reality · 782–792
2025
Federated Posterior Sharing for Multi-Agent Systems in Uncertain Environments
Learning for Dynamics & Control · PMLR 283, 817–829
2025
Federated Learning of Jamming Classifiers: From Global to Personalized Models
NAVIGATION: Journal of the Institute of Navigation · 72(1)
2025
Human Task Performance and Associated Internal States in Extended Reality: A Systematic Review of Cognitive, Psychophysiological, and Physiological Dimensions
Frontiers in Virtual Reality · 6, 1589256
2024
Bayesian Data Fusion with Shared Priors
IEEE Transactions on Signal Processing · 72, 275–288
2024
Detecting GNSS Spoofing Using Deep Learning
EURASIP Journal on Advances in Signal Processing · 2024, Article 14
2023
Jammer Classification with Federated Learning
IEEE/ION Position, Location and Navigation Symposium · 228–234
Track C Best Paper Award
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