Talks & Service

Selected Invited Talks

• 10/2026Seeing Structure in Time: Interpretable, Generalizable, and Causality-Aware Time Series Learning — NJIT
• 03/2026Towards Interpretable Time Series Foundation Models — University of Delaware
• 04/2025Latent graph discovery — 3rd LoG-NYC Workshop
• 01/2025Graph and time series foundation models — Brookhaven National Laboratory (BNL)
• 10/2024Towards Interpretable and Generalizable Time Series Deep Learning Models — Weill Cornell Medicine
• 11/2022Machine Learning Techniques to Follow DFU Progress — Diabetic Lower Extremity Symposium
• 08/2022Graph learning with geometric and topological structures — AI Seminar, University of Southern California

Workshop Organization

• 2026Co-organizer, Principled Design for Trustworthy AI — Interpretability, Robustness, and Safety across Modalities, ICLR 2026