I received my Ph.D. from Virginia Tech in 2020, advised by Prof. Chang-Tien Lu. I previously served as an Assistant Professor at Mississippi State University before joining RIT. I study behaviors in dynamical and structural systems — graph-structured, dynamic, uncertain, and knowledge-rich — and how to estimate and control them. Recently I focus on cross-system behaviors and generalized patterns across very different real-world systems, including traffic grids, power networks, epidemics, social networks, banking, supply chains, and most recently large language models viewed as dynamical systems with structural representations. Techniques I've been working on include spectral / functional analysis and uncertainty quantification (UQ).
Relevant support: NSF CAREER #2443266 · NSF CIRC #2345921 · all grants →
① "Analogy learning": Generalized patterns across systems. I look for shared operators, conserved quantities, and structural invariants that transfer across otherwise unrelated graph domains.
② "Interplay learning": Cross-system behaviors. I model and control behaviors that propagate between heterogeneous networks, where the most consequential dynamics live in the cross-edges.