Focus on learning, inference, and optimization for networked data: graph topology discovery; scalable GP-based uncertainty quantification with conformal prediction; active/Bayesian learning for 5G radio maps; robotics perception for efficient 3D reconstruction; robust crowdsourced‑label learning.