By Associate Professor David James Heslop

Conference Papers

Khaokaew Y; Kong R; Züfle A; Xue H; Anderson T; Macintyre CR; Scotch M; Salim FD; Heslop DJ, 2026, 'An Infectious Disease Spread Simulation Based on Large Language Model Decision Making', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 11248 - 11259, http://dx.doi.org/10.1145/3770855.3818983

Stone H; Du J; Xue H; Scotch M; Heslop D; Zufle A; Macintyre CR; Salim F, 2025, 'A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models', in 33rd ACM Sigspatial International Conference on Advances in Geographic Information Systems ACM Sigspatial 2025, pp. 646 - 655, http://dx.doi.org/10.1145/3748636.3762779

Kong R; Anderson T; Heslop DJ; Scotch M; Salim FD; Macintyre CR; Zufle A, 2025, 'EpiScale: Large-Scale Simulation of Infectious Disease Based on Human Mobility', in 33rd ACM Sigspatial International Conference on Advances in Geographic Information Systems ACM Sigspatial 2025, pp. 828 - 831, http://dx.doi.org/10.1145/3748636.3762791

Kong R; Anderson T; Scotch M; Heslop DJ; Khaokaew Y; Xue H; Xiong L; Macintyre CR; Salim FD; Züfle A, 2025, 'Simulated Infectious Diseases Datasets with Controlled Data Bias', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 5551 - 5559, http://dx.doi.org/10.1145/3711896.3737401

Kong R; Anderson T; Heslop D; Zufle A, 2024, 'An Infectious Disease Spread Simulation to Control Data Bias', in 32nd ACM Sigspatial International Conference on Advances in Geographic Information Systems ACM Sigspatial 2024, pp. 681 - 684, http://dx.doi.org/10.1145/3678717.3691293

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