Dr Ben Ye
ARC Grant-Funded Senior Research Fellow
School of Mathematical Sciences
College of Sciences
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
I am interested in how networks and control theory can be used to understand and shape our interconnected world. My research addresses both theoretical questions and real-world problems related to complex networks and their dynamics, with main applications to social networks and systems, epidemic spreading on networks, and control of multi-agent systems. I employ both deterministic and stochastic models, using analytical, computational and data-driven methods from a range of mathematical fields including systems and control theory, game theory, dynamical systems, and network science.
For social networks and systems, I use network and agent-based models to study how person-to-person interactions shape population-level phenomena including opinion formation and consensus, collective decision-making, protest movements, social diffusion, evolution of social norms and conventions, cultural dynamics, and information spreading. I am interested in identifying conditions for when different phenomena occur (e.g. when people's opinions reach a consensus or become locked in disagreement), and influencing and shaping the phenomena (e.g. how to better promote the diffusion and adoption of pro-environmental behaviour).
For epidemics, I use mathematical models to study how infectious diseases spread through contact and travel networks. I am interested in identifying conditions for when outbreaks are going to occur, and establishing the role of the network structure in determining these conditions. More recently, I have been exploring different dynamic and time-varying methods, developed using feedback principles from control theory, to suppress and eliminate spreading in the network.
Brief bio: I received the B.E. degree (with First Class Honours) in mechanical engineering from the University of Auckland, Auckland, New Zealand in 2013. My Ph.D. degree in engineering at the Australian National University, Canberra, Australia was completed in 2018 under the supervision of Emeritus Professor Brian D. O. Anderson, AC. From August 2018 - February 2020, I was a postdoctoral researcher in the Faculty of Science and Engineering, University of Groningen, Netherlands, with Professor Ming Cao (Networks and Robotics). I joined Curtin University, Australia, in March 2020, as a Senior Research Fellow. I was appointed as a Western Australian Premier's Early to Mid-Career (EMC) Fellow from 2021 - 2025, with the Centre for Optimisation and Decision Science. In April 2025, I joined the University of Adelaide as a Senior Lecturer.
| Date | Position | Institution name |
|---|---|---|
| 2025 - ongoing | Senior Lecturer | Adelaide University |
| 2020 - 2025 | Senior Research Fellow | Curtin University |
| 2018 - 2020 | Postdoctoral researcher | University of Groningen |
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2014 - 2018 | Australian National University | Australia | PhD |
| 2010 - 2013 | University of Auckland | New Zealand | B.Eng (First Class Honours) |
| Year | Citation |
|---|---|
| 2026 | Gracy, S., Anderson, B. D. O., Ye, M., & Uribe, C. A. (2026). Networked competitive bivirus SIS spread with higher order interactions. Automatica, 185, 112799-1-112799-14. |
| 2025 | Zino, L., Ye, M., Calafiore, G. C., & Rizzo, A. (2025). Equilibrium Selection in Replicator Equations Using Adaptive-Gain Control. IEEE Transactions on Automatic Control, 70(10), 6799-6814. Scopus2 WoS1 |
| 2025 | Liang, H., Ye, M., Zino, L., & Xia, W. (2025). Coevolution of actions and opinions in networks of coordinating and anti-coordinating agents. IFAC Journal of Systems and Control, 33, 100325. |
| 2025 | Corsin, J., Zino, L., & Ye, M. (2025). An evidence-accumulating drift–diffusion model of competing information spread on networks. Chaos, Solitons and Fractals, 192, 115935. Scopus1 |
| 2025 | Walsh, L., Ye, M., Anderson, B. D. O., & Sun, Z. (2025). Decentralised adaptive-gain control for eliminating epidemic spreading on networks. Automatica, 174, 14 pages. Scopus9 WoS3 |
| 2024 | Mlakar, Z., Bolderdijk, J. W., Risselada, H., Fennis, B. M., Ye, M., Zino, L., & Cao, M. (2024). Social Tipping Games: Experimental Paradigms for Studying Consumer Movements. JOURNAL OF THE ASSOCIATION FOR CONSUMER RESEARCH, 9(4), 427-440. WoS1 |
| 2024 | Ye, M., Anderson, B. D. O., Janson, A., Gracy, S., & Johansson, K. H. (2024). Competitive epidemic networks with multiple survival-of-the-fittest outcomes. Systems and Control Letters, 193, 10 pages. WoS1 |
| 2024 | Gracy, S., Ye, M., Anderson, B. D. O., & Uribe, C. A. (2024). Towards Understanding the Endemic Behavior of a Competitive Tri-virus SIS Networked Model. SIAM Journal on Applied Dynamical Systems, 23(2), 1372-1410. Scopus3 WoS2 |
| 2024 | Ye, M., & Anderson, B. D. O. (2024). Rate of Convergence to the Disease Free Equilibrium for Multi-Population SIS Networks in the Critical Case. IEEE Control Systems Letters, 8, 436-441. |
| 2024 | Hoffmann, T., Ye, M., Zino, L., Cao, M., Rauws, W., & Bolderdijk, J. W. (2024). Overcoming inaction: An agent-based modelling study of social interventions that promote systematic pro-environmental change. Journal of Environmental Psychology, 94, 15 pages. Scopus18 WoS18 |
| 2024 | Gao, T., Zino, L., & Ye, M. (2024). Effect of Network Structure and Committed Minority Placement in Promoting Social Diffusion. IEEE Transactions on Computational Social Systems, 11(2), 2326-2339. Scopus4 WoS4 |
| 2024 | Zino, L., Ye, M., & Anderson, B. D. O. (2024). Modeling and analyzing competitive epidemic diseases with partial and waning virus-specific and cross-immunity. IFAC Journal of Systems and Control, 28, 13 pages. Scopus1 WoS1 |
| 2023 | Xia, W., Liang, H., & Ye, M. (2023). Asynchronous Expressed and Private Opinion Dynamics on Influence Networks. IEEE Transactions on Control of Network Systems, 10(2), 544-555. Scopus14 WoS13 |
| 2023 | Ye, M., & Anderson, B. D. O. (2023). Competitive Epidemic Spreading Over Networks. IEEE Control Systems Letters, 7, 545-552. Scopus18 WoS14 |
| 2023 | Aghbolagh, H. D., Ye, M., Zino, L., Chen, Z., & Cao, M. (2023). Coevolutionary Dynamics of Actions and Opinions in Social Networks. IEEE Transactions on Automatic Control, 68(12), 7708-7723. Scopus26 WoS22 |
| 2023 | Anderson, B. D. O., & Ye, M. (2023). Equilibria Analysis of a Networked Bivirus Epidemic Model Using Poincaré–Hopf and Manifold Theory*. SIAM Journal on Applied Dynamical Systems, 22(4), 2856-2889. Scopus10 WoS10 |
| 2023 | Zaidi, Z., Ye, M., Samon, F., Jama, A., Gopalakrishnan, B., Gu, C., . . . Kashima, Y. (2023). Topics in Antivax and Provax Discourse: Yearlong Synoptic Study of COVID-19 Vaccine Tweets. Journal of Medical Internet Research, 25, 23 pages. Scopus7 WoS5 Europe PMC5 |
| 2022 | Zino, L., Ye, M., & Cao, M. (2022). Facilitating innovation diffusion in social networks using dynamic norms. PNAS Nexus, 1(5), 9 pages. Scopus12 WoS11 Europe PMC2 |
| 2022 | Frieswijk, K., Zino, L., Ye, M., Rizzo, A., & Cao, M. (2022). A Mean-Field Analysis of a Network Behavioral-Epidemic Model. IEEE Control Systems Letters, 6, 2533-2538. Scopus26 WoS22 |
| 2022 | Ye, M., Liu, J., Anderson, B. D. O., & Cao, M. (2022). Applications of the Poincaré-Hopf Theorem: Epidemic Models and Lotka-Volterra Systems. IEEE Transactions on Automatic Control, 67(4), 1609-1624. Scopus23 WoS22 |
| 2022 | Mengbin, Y. E., Anderson, B. D. O., & Liu, J. I. (2022). CONVERGENCE and EQUILIBRIA ANALYSIS of A NETWORKED BIVIRUS EPIDEMIC MODEL<sup>∗</sup>. SIAM Journal on Control and Optimization, 60(2), S323-S346. Scopus27 WoS24 |
| 2021 | Ye, M., Zino, L., Mlakar, Ž., Bolderdijk, J. W., Risselada, H., Fennis, B. M., & Cao, M. (2021). Collective patterns of social diffusion are shaped by individual inertia and trend-seeking. Nature Communications, 12(1), 12 pages. Scopus52 WoS53 Europe PMC12 |
| 2021 | Anderson, B. D. O., & Ye, M. (2021). Mathematical Models of Self-Appraisal in Social Networks. Journal of Systems Science and Complexity, 34(5), 1604-1633. Scopus2 WoS2 |
| 2021 | Ye, M., Zino, L., Rizzo, A., & Cao, M. (2021). Game-theoretic modeling of collective decision making during epidemics. Physical Review E, 104(2), 9 pages. Scopus54 WoS50 Europe PMC11 |
| 2020 | Zino, L., Ye, M., & Cao, M. (2020). A two-layer model for coevolving opinion dynamics and collective decision-making in complex social systems. Chaos, 30(8), 14 pages. Scopus53 WoS53 Europe PMC10 |
| 2020 | Anderson, B. D. O., & Ye, M. (2020). Extrema without convexity and stability without Lyapunov. Communications in Information and Systems, 20(3), 253-281. Scopus2 WoS2 |
| 2020 | Ye, M., Trinh, M. H., Lim, Y. H., Anderson, B. D. O., & Ahn, H. S. (2020). Continuous-time opinion dynamics on multiple interdependent topics. Automatica, 115, 10 pages. Scopus60 WoS55 |
| 2020 | Xia, W., Ye, M., Liu, J., Cao, M., & Sun, X. M. (2020). Analysis of a nonlinear opinion dynamics model with biased assimilation. Automatica, 120, 8 pages. Scopus39 WoS32 |
| 2020 | Russell, J. S., Ye, M., Anderson, B. D. O., Hmam, H., & Sarunic, P. (2020). Cooperative localization of a GPS-Denied UAV using direction-of-arrival measurements. IEEE Transactions on Aerospace and Electronic Systems, 56(3), 1966-1978. Scopus60 WoS49 |
| 2020 | Kawamura, S., Cai, K., Ye, M., & Lin, Z. (2020). Tight bound on parameter of surplus-based averaging algorithm over balanced digraphs. International Journal of Control, 93(8), 1859-1866. Scopus9 WoS8 |
| 2020 | Ahn, H. S., Tran, Q. V., Trinh, M. H., Ye, M., Liu, J., & Moore, K. L. (2020). Opinion Dynamics with Cross-Coupling Topics: Modeling and Analysis. IEEE Transactions on Computational Social Systems, 7(3), 632-647. Scopus34 WoS31 |
| 2020 | Ye, M., Liu, J., Wang, L., Anderson, B. D. O., & Cao, M. (2020). Consensus and Disagreement of Heterogeneous Belief Systems in Influence Networks. IEEE Transactions on Automatic Control, 65(11), 4679-4694. Scopus28 WoS26 |
| 2019 | Anderson, B. D. O., & Ye, M. (2019). Recent Advances in the Modelling and Analysis of Opinion Dynamics on Influence Networks. International Journal of Automation and Computing, 16(2), 129-149. Scopus141 WoS127 |
| 2019 | Liu, Q., Ye, M., Qin, J., & Yu, C. (2019). Event-triggered algorithms for leader-follower consensus of networked euler-lagrange agents. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(7), 1435-1447. Scopus85 WoS77 |
| 2019 | Ye, M., Anderson, B. D. O., & Yu, C. (2019). Leader Tracking of Euler-Lagrange Agents on Directed Switching Networks Using a Model-Independent Algorithm. IEEE Transactions on Control of Network Systems, 6(2), 561-571. Scopus21 WoS20 |
| 2019 | Ye, M., Qin, Y., Govaert, A., Anderson, B. D. O., & Cao, M. (2019). An influence network model to study discrepancies in expressed and private opinions. Automatica, 107, 371-381. Scopus120 WoS104 |
| 2018 | Ye, M., Liu, J., Anderson, B. D. O., Yu, C., & Başar, T. (2018). Evolution of Social Power in Social Networks with Dynamic Topology. IEEE Transactions on Automatic Control, 63(11), 3793-3808. Scopus79 WoS71 |
| 2017 | Ye, M., Anderson, B. D. O., & Yu, C. (2017). Distributed model-independent consensus of Euler–Lagrange agents on directed networks. International Journal of Robust and Nonlinear Control, 27(14), 2428-2450. Scopus22 WoS21 |
| 2017 | Ye, M., Anderson, B. D. O., & Yu, C. (2017). Bearing-Only Measurement Self-Localization, Velocity Consensus and Formation Control. IEEE Transactions on Aerospace and Electronic Systems, 53(2), 575-586. Scopus46 WoS39 |
| - | Cao, M., Ye, M., & Zino, L. (2025). Control of networked cyber-physical-human systems. NATURE REVIEWS ELECTRICAL ENGINEERING, 3(1), 14 pages. |
| Year | Citation |
|---|---|
| 2019 | Ye, M. (2019). Opinion Dynamics and the Evolution of Social Power in Social Networks. Springer International Publishing. DOI |
| Year | Citation |
|---|---|
| 2025 | Gavin, R., Paarporn, K., Ye, M., Zino, L., & Cao, M. (2025). Adaptive-Gain Control for Equilibrium Selection in the Logit Dynamics. In Proceedings of the IEEE Conference on Decision and Control (pp. 3794-3799). IEEE. DOI |
| 2024 | Gracy, S., Anderson, B. D. O., Ye, M., & Uribe, C. A. (2024). Competitive Networked Bivirus SIS Spread Over Hypergraphs. In Proceedings of the American Control Conference (pp. 4409-4415). CANADA, Toronto: IEEE. DOI Scopus5 WoS4 |
| 2024 | Raineri, R., Como, G., Fagnani, F., Ye, M., & Zino, L. (2024). On Controlling a Coevolutionary Model of Actions and Opinions. In 2024 IEEE 63rd Conference on Decision and Control (CDC) (pp. 4550-4555). Milan, Italy: IEEE. DOI Scopus3 WoS4 |
| 2024 | Ye, M., & Anderson, B. D. O. (2024). Complex equilibria patterns in weakly-coupled competitive bivirus epidemic networks. In 2024 IEEE 63rd Conference on Decision and Control (CDC) (pp. 3905-3911). Milan, Italy: IEEE. DOI |
| 2023 | Zino, L., & Ye, M. (2023). On incentivizing innovation diffusion in a network of coordinating agents. In IFAC-PapersOnLine Vol. 56 (pp. 4186-4191). JAPAN, Yokohama: ELSEVIER. DOI Scopus2 WoS1 |
| 2023 | Walsh, L., Ye, M., Anderson, B. D. O., & Sun, Z. (2023). Decentralised adaptive-gain control for the SIS network epidemic model. In IFAC-PapersOnLine Vol. 56 (pp. 8506-8511). JAPAN, Yokohama: ELSEVIER. DOI Scopus3 WoS2 |
| 2023 | Zino, L., Ye, M., & Anderson, B. D. O. (2023). On a bi-virus epidemic model with partial and waning immunity. In IFAC-PapersOnLine Vol. 56 (pp. 83-88). JAPAN, Yokohama: ELSEVIER. DOI Scopus1 WoS1 |
| 2023 | Zino, L., Ye, M., Rizzo, A., & Calafiore, G. C. (2023). On Adaptive-Gain Control of Replicator Dynamics in Population Games. In Proceedings of the IEEE Conference on Decision and Control (pp. 485-490). SINGAPORE: IEEE. DOI Scopus7 WoS3 |
| 2023 | Gracy, S., Ye, M., Anderson, B. D. O., & Uribe, C. A. (2023). On the Endemic Behavior of a Competitive Tri-Virus SIS Networked Model. In Proceedings of the American Control Conference Vol. 2023-May (pp. 2313-2318). CA, San Diego: IEEE. DOI Scopus3 WoS4 |
| 2021 | Zino, L., Ye, M., & Cao, M. (2021). On modeling social diffusion under the impact of dynamic norms. In Proceedings of the IEEE Conference on Decision and Control Vol. 2021-December (pp. 4976-4981). Austin Texas: IEEE. DOI Scopus6 WoS5 |
| 2020 | Colombo, L., Moreno, P., Ye, M., de Marina, H. G., & Cao, M. (2020). Forced variational integrator for distance-based shape control with flocking behavior of multi-agent systems. In IFAC-PapersOnLine Vol. 53 (pp. 3348-3353). Berlin, Germany: ELSEVIER. DOI Scopus6 WoS7 |
| 2020 | Zino, L., Ye, M., & Cao, M. (2020). A Coevolutionary Model for Actions and Opinions in Social Networks. In Proceedings of the IEEE Conference on Decision and Control Vol. 2020-December (pp. 1110-1115). Virtual, Jeju Island: IEEE. DOI Scopus14 WoS12 |
| 2020 | Xia, W., Liang, H., & Ye, M. (2020). Expressed and Private Opinion Dynamics on Influence Networks with Asynchronous Updating. In Proceedings of the IEEE Conference on Decision and Control Vol. 2020-December (pp. 3687-3692). Virtual, Jeju Island: IEEE. DOI Scopus13 WoS12 |
| 2020 | Anderson, B. D. O., Dabbene, F., Proskurnikov, A. V., Ravazzi, C., & Ye, M. (2020). Dynamical networks of social influence: Modern trends and perspectives. In IFAC-PapersOnLine Vol. 53 (pp. 17616-17627). Berlin, Germany: ELSEVIER. DOI Scopus13 WoS14 |
| 2020 | Ye, M., Liu, J., Anderson, B. D. O., & Cao, M. (2020). Distributed feedback control on the SIS network model: An impossibility result. In IFAC-PapersOnLine Vol. 53 (pp. 10955-10962). Berlin, Germany: ELSEVIER. DOI Scopus5 WoS6 |
| 2020 | Ye, M., Liu, J., Cenedese, C., Sun, Z., & Cao, M. (2020). A network SIS meta-population model with transportation flow. In IFAC-PapersOnLine Vol. 53 (pp. 2562-2567). Berlin, Germany: ELSEVIER. DOI Scopus13 WoS9 |
| 2020 | Xuan, W., Ren, R., Paré, P. E., Ye, M., Ruf, S., & Liu, J. (2020). On a network SIS model with opinion dynamics. In IFAC-PapersOnLine Vol. 53 (pp. 2582-2587). Berlin, Germany: Elsevier BV. DOI Scopus34 WoS27 |
| 2019 | Ye, M., & Anderson, B. D. O. (2019). Modelling of individual behaviour in the degroot-friedkin self-appraisal dynamics on social networks. In 2019 18th European Control Conference Ecc 2019 (pp. 2011-2017). ITALY, Naples: IEEE. DOI Scopus11 WoS8 |
| 2018 | Ye, M., Liu, J., & Anderson, B. D. O. (2018). On the Effects of Heterogeneous Logical Interdependencies in a Multi-Dimensional Opinion Dynamics Model. In Proceedings of the IEEE Conference on Decision and Control Vol. 2018-December (pp. 4372-4377). FL, Miami Beach: IEEE. DOI Scopus5 WoS5 |
| 2018 | Trinh, M. H., Lee, B. H., Ye, M., & Ahn, H. S. (2018). Bearing-Based Formation Control and Network Localization via Global Orientation Estimation. In 2018 IEEE Conference on Control Technology and Applications Ccta 2018 (pp. 1084-1089). DENMARK, Copenhagen: IEEE. DOI Scopus21 WoS17 |
| 2018 | Anderson, B. D. O., & Ye, M. (2018). Nonlinear Mapping Convergence and Application to Social Networks. In 2018 European Control Conference Ecc 2018 (pp. 557-562). IEEE. DOI Scopus8 |
| 2018 | Liu, J., Ye, M., Anderson, B. D. O., Basar, T., & Nedic, A. (2018). Discrete-Time Polar Opinion Dynamics with Heterogeneous Individuals. In Proceedings of the IEEE Conference on Decision and Control Vol. 2018-December (pp. 1694-1699). FL, Miami Beach: IEEE. DOI Scopus8 WoS6 |
| 2018 | Trinh, M. H., Ye, M., Ahn, H. S., & Anderson, B. D. O. (2018). Matrix-weighted consensus with leader-following topologies. In 2017 Asian Control Conference Ascc 2017 Vol. 2018-January (pp. 1795-1800). AUSTRALIA, Gold Coast: IEEE. DOI Scopus23 WoS20 |
| 2018 | Anderson, B. D. O., & Ye, M. (2018). Nonlinear Mapping Convergence and Application to Social Networks. In 2018 EUROPEAN CONTROL CONFERENCE (ECC) (pp. 558-563). CYPRUS, Limassol: IEEE. WoS3 |
| 2017 | Liu, Q., Ye, M., Sun, Z., Qin, J., & Yu, C. (2017). Coverage Control of Unicycle Agents under Constant Speed Constraints. In IFAC Papersonline Vol. 50 (pp. 2471-2476). FRANCE, Toulouse: ELSEVIER. DOI Scopus12 WoS10 |
| 2017 | Ye, M., Anderson, B. D. O., & Yu, C. (2017). A variable gain model-independent algorithm for rendezvous of Euler-Lagrange agents on directed networks. In 2016 Australian Control Conference Aucc 2016 (pp. 153-158). AUSTRALIA, Newcastle: IEEE. DOI Scopus1 WoS1 |
| 2017 | Ye, M., Liu, J., Anderson, B. D. O., Yu, C., & Başar, T. (2017). On the Analysis of the DeGroot-Friedkin Model with Dynamic Relative Interaction Matrices. In IFAC PAPERSONLINE Vol. 50 (pp. 11902-11907). FRANCE, Toulouse: ELSEVIER. DOI Scopus15 WoS14 |
| 2017 | Russell, J. S., Ye, M., Anderson, B. D. O., Hmam, H., & Sarunic, P. (2017). Cooperative Localisation of a GPS-Denied UAV in 3-Dimensional Space Using Direction of Arrival Measurements. In IFAC Papersonline Vol. 50 (pp. 8019-8024). FRANCE, Toulouse: ELSEVIER. DOI Scopus16 WoS8 |
| 2017 | Ye, M., Liu, J., Anderson, B. D. O., Yu, C., & Basar, T. (2017). Modification of social dominance in social networks by selective adjustment of interpersonal weights. In 2017 IEEE 56th Annual Conference on Decision and Control Cdc 2017 Vol. 2018-January (pp. 2906-2911). AUSTRALIA, Melbourne: IEEE. DOI Scopus3 WoS1 |
| 2016 | Ye, M., Anderson, B. D. O., & Yu, C. (2016). Model-independent trajectory tracking of Euler-Lagrange agents on directed networks. In 2016 IEEE 55th Conference on Decision and Control Cdc 2016 (pp. 6921-6927). NV, Las Vegas: IEEE. DOI Scopus3 WoS3 |
| 2016 | Liu, Q., Ye, M., Qin, J., & Yu, C. (2016). Event-based leader-follower consensus for multiple Euler-Lagrange systems with parametric uncertainties. In 2016 IEEE 55th Conference on Decision and Control Cdc 2016 (pp. 2240-2246). NV, Las Vegas: IEEE. DOI Scopus29 WoS24 |
| 2016 | Zhang, L., Ye, M., Anderson, B. D. O., Sarunic, P., & Hmam, H. (2016). Cooperative localisation of UAVs in a GPS-denied environment using bearing measurements. In 2016 IEEE 55th Conference on Decision and Control Cdc 2016 (pp. 4320-4326). NV, Las Vegas: IEEE. DOI Scopus12 WoS12 |
| 2015 | Ye, M., Yu, C., & Anderson, B. D. O. (2015). Model-independent rendezvous of Euler-Lagrange agents on directed networks. In Proceedings of the IEEE Conference on Decision and Control (pp. 3499-3505). JAPAN, Osaka: IEEE. DOI Scopus8 WoS9 |
| 2013 | Ye, M., Anderson, B. D. O., & Yu, C. (2013). Multiagent self-localization using bearing only measurements. In Proceedings of the IEEE Conference on Decision and Control (pp. 2157-2162). ITALY, Florence: IEEE. DOI Scopus11 WoS8 |
| Year | Citation |
|---|---|
| 2025 | Davidson, E. C., & Ye, M. (2025). Modelling the Closed Loop Dynamics Between a Social Media Recommender System and Users' Opinions. DOI |
| Date | Role | Research Topic | Program | Degree Type | Student Load | Student Name |
|---|---|---|---|---|---|---|
| 2026 | Co-Supervisor | An LLM Approach to the Quoter Model and Investigating Social Media "Echo Chambers" | - | Master | Full Time | Mr Johnathan David Brink |
| 2025 | Principal Supervisor | A mathematical modelling framework for examining how social media recommender systems shape user beliefs | Doctor of Philosophy | Doctorate | Full Time | Connor Davidson |
| 2025 | Principal Supervisor | A mathematical modelling framework for examining how social media recommender systems shape user beliefs | - | Doctorate | Full Time | Connor Davidson |
| Date | Role | Membership | Country |
|---|---|---|---|
| 2015 - ongoing | Member | Institute of Electrical and Electronics Engineers | United States |