A Game-Theoretic Analysis of the Adversarial Boyd-Kuramoto Model. - Antonin Demazy; Alexander C. Kalloniatis; Tansu Alpcan (GameSec, 2018)

Modelling distributed decision-making in Command and Control using stochastic network synchronisation. - Alexander C. Kalloniatis; Timothy A. McLennan-Smith; Dale O. Roberts (Eur. J. Oper. Res., 2020)

Adversarial decision strategies in multiple network phased oscillators: The Blue-Green-Red Kuramoto-Sakaguchi model. - Mathew Zuparic; Maia Angelova; Ye Zhu 002; Alexander C. Kalloniatis (Commun. Nonlinear Sci. Numer. Simul., 2021)

A Mathematical Model of Humanitarian Aid Agencies in Attritional Conflict Environments. - Timothy A. McLennan-Smith; Alexander C. Kalloniatis; Zlatko Jovanoski; Harvinder S. Sidhu; Dale O. Roberts; Simon D. Watt; Isaac N. Towers (Oper. Res., 2021)

Optimising structure in a networked Lanchester model for fires and manoeuvre in warfare. - Alexander C. Kalloniatis; Keeley Hoek; Mathew Zuparic; Markus Brede (J. Oper. Res. Soc., 2021)

Sparse Network Optimization for Synchronization. - Regina Sandra Burachik; Alexander C. Kalloniatis; C. Yalçin Kaya (J. Optim. Theory Appl., 2021)

Adversarial Decisions on Complex Dynamical Systems using Game Theory. - Andrew C. Cullen; Tansu Alpcan; Alexander C. Kalloniatis (CoRR, 2022)

Unifying warfighting functions in mathematical modelling: combat, manoeuvre, and C2. - Ryan Ahern; Mathew Zuparic; Keeley Hoek; Alexander C. Kalloniatis (J. Oper. Res. Soc., 2022)

Modelling host population support for combat adversaries. - Mathew Zuparic; Sergiy Shelyag; Maia Angelova; Ye Zhu 002; Alexander C. Kalloniatis (J. Oper. Res. Soc., 2023)

Optimal Organizations Across Many Faces of Complexity: Synchronized Networks With Load-Balance and Minimum Complexity. - Regina Sandra Burachik; Mahmoud Efatmaneshnik; Alexander C. Kalloniatis; C. Yalçin Kaya (IEEE Syst. J., 2023)

Game-Theoretic Analysis of Adversarial Decision Making in a Complex Socio-Physical System. - Andrew C. Cullen; Tansu Alpcan; Alexander C. Kalloniatis (Dyn. Games Appl., 2025)