Adarsh Prabhakaran

Postdoctoral Researcher at RHUL. LLMs, agent-based simulation, and computational social science.

You can also browse my Google Scholar profile.

Under Review

  1. Duran-Sala, M., Balachandran, A.K., Morandini, M., Naushirvanov, T., Prabhakaran, A., Renninger, A., Mazzoli, M. (2024). Disentangling individual-level from location-based income uncovers socioeconomic preferential mobility and impacts segregation estimates. Under review, Nature Communications. arXiv:2407.01799

  2. Luckner, K., Prabhakaran, A., Fikfak, V., Ridi, N. (2025). Why the Study of International Law Needs Agent-based Modelling. Under review, Journal of International Dispute Settlement.

Published

  1. Luckner, K., Prabhakaran, A., Kos, U., Küçüksu, A., Lundsgaard, T., Fikfak, V. (2025). Text, Interviews, and Expert Coding: Using Qualitative and Quantitative Data in an Agent-based Model of Compliance with Human Rights Judgments. Advances in Social Simulation: Proceedings of the 19th Social Simulation Conference (pp. 335–347). Springer.

  2. Prabhakaran, A., Restocchi, V., & Goddard, B. D. (2023). Improving tobacco social contagion models using agent-based simulations on networks. Applied Network Science, 8(1), 54. PDF

  3. Prabhakaran, A., & Sinha, S. (2022). Infection Spread in Populations: An Agent-Based Model. International Symposium on Mathematical and Computational Biology (pp. 17–27). Springer. PDF

  4. Prabhakaran, A., Restocchi, V., & Goddard, B. D. (2022). Networks for Smoking Dynamics. 11th International Conference on Complex Networks and their Applications. PDF

Thesis

  1. Prabhakaran, A. (2023). Applications of Agent-based Models in Tobacco Control. PhD Thesis, University of Edinburgh.

  2. Prabhakaran, A. (2019). Studying Collective Behaviour Using Agent-Based Models. MS Thesis, IISER Mohali. PDF