Tuong Manh Vu

BSc (Nottingham), MSc (Nottingham), PhD (Nottingham)

Population Health, School of Medicine and Population Health

Honorary Research Fellow

t.vu@sheffield.ac.uk

Full contact details

Tuong Manh Vu
Population Health, School of Medicine and Population Health

Profile

I received BSc, MSc, and PhD degrees in Computer Science from the University of Nottingham. My PhD focuses on the Agent-Based Modelling and Simulation of Public Goods Game.

In 2017, I joined the CASCADE project (Calibrated Agent Simulations for Combined Analysis of Drinking Etiologies) at the University of Sheffield to further pursue his research interest in strategic modelling and simulation of human-centred complex systems. CASCADE will develop agent-based models of alcohol use which will draw on existing theories for why people drink and seek novel combinations of these theories in order to better explain the changes in alcohol use we observe in society.

Research interests: My research interests are agent-based modelling and simulation, complex systems, evolutionary computing, and alcohol policy modelling.

Publications

Show: Featured publications All publications

Featured publications

Journal articles

Vu TM, Buckley C, Bai H, Nielson A, Probst C, Brennan A, Shuper P, Strong M & Purshouse R (2020) Multiobjective genetic programming can improve the explanatory capabilities of mechanism-based models of social systems. Complexity, 2020. View this article in WRRO
Vu T, Probst C, Nielsen A, Bai H, Buckley C, Meier P, Strong M, Brennan A & Purshouse R (2020) A software architecture for mechanism-based social systems modelling in agent-based simulation models. Journal of Artificial Societies and Social Simulation, 23(3). View this article in WRRO
Probst C, Vu TM, Epstein JM, Nielsen AE, Buckley C, Brennan A, Rehm J & Purshouse RC (2020) The normative underpinnings of population-level alcohol use: An individual-level simulation model. Health Education and Behavior. View this article in WRRO
Vu TM, Wagner C & Siebers P-O (2019) ABOOMS: Overcoming the Hurdles of Continuous-Time Public Goods Games with a Simulation-Based Approach. Journal of Artificial Societies and Social Simulation, 22(2). View this article in WRRO

Conference proceedings papers

Vu TM, Probst C, Epstein JM, Brennan A, Strong M & Purshouse RC (2019) Toward inverse generative social science using multi-objective genetic programming. Proceedings of the Genetic and Evolutionary Computation Conference

All publications

Journal articles

Vu TM (2021) Software review: Pony GE2. Genetic Programming and Evolvable Machines.
Chung-Delgado K, Valdivia Venero JE & Vu TM (2021) Vaccine hesitancy: characteristics of the refusal of childhood vaccination in a Peruvian population.. Cureus, 13(3). View this article in WRRO
Vu TM, Buckley C, Bai H, Nielson A, Probst C, Brennan A, Shuper P, Strong M & Purshouse R (2020) Multiobjective genetic programming can improve the explanatory capabilities of mechanism-based models of social systems. Complexity, 2020. View this article in WRRO
Vu T, Probst C, Nielsen A, Bai H, Buckley C, Meier P, Strong M, Brennan A & Purshouse R (2020) A software architecture for mechanism-based social systems modelling in agent-based simulation models. Journal of Artificial Societies and Social Simulation, 23(3). View this article in WRRO
Probst C, Vu TM, Epstein JM, Nielsen AE, Buckley C, Brennan A, Rehm J & Purshouse RC (2020) The normative underpinnings of population-level alcohol use: An individual-level simulation model. Health Education and Behavior. View this article in WRRO
Vu TM, Wagner C & Siebers P-O (2019) ABOOMS: Overcoming the Hurdles of Continuous-Time Public Goods Games with a Simulation-Based Approach. Journal of Artificial Societies and Social Simulation, 22(2). View this article in WRRO
Brennan A, Buckley C, Vu TM, Probst C, Nielsen A, Bai H, Broomhead T, Greenfield T, Kerr W, Meier PS , Rehm J et al () Introducing CASCADEPOP: an open-source sociodemographic simulation platform for US health policy appraisal. International Journal of Microsimulation, 13(2), 21-60.

Conference proceedings papers

Vu TM, Probst C, Epstein JM, Brennan A, Strong M & Purshouse RC (2019) Toward inverse generative social science using multi-objective genetic programming. Proceedings of the Genetic and Evolutionary Computation Conference
Purshouse RC, Vu T, Bai H, Buckley CM, Nielsen AE, Probst C & Brennan A (2019) ALCOHOL POLICY MODELING USING THEORY - A NEW COMPUTATIONAL PLATFORM FOR DEVELOPING MECHANISM-BASED EXPLANATORY MODELS. ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, Vol. 43 (pp 142A-142A)
Alotaibi A, Lohse N & Vu TM (2016) Dynamic Agent-based Bi-objective Robustness for Tardiness and Energy in a Dynamic Flexible Job Shop. Procedia CIRP, Vol. 57 (pp 728-733)
Vu TM, Siebers PO, Skatova A & Turocy T (2015) Modelling the effect of individual differences in punishment sensitivity on behaviour in a public goods game. 14th International Conference on Modeling and Applied Simulation, MAS 2015 (pp 110-117)
Vu TM, Siebers PO & Wagner C (2014) The potential of object-oriented analysis and design for Agent-based Computational Economics. Modelling and Simulation 2014 - European Simulation and Modelling Conference, ESM 2014 (pp 143-149)
Vu TM, Siebers PO & Wagner C (2013) Comparison of crisp systems and fuzzy systems in agent-based simulation: A case study of soccer penalties. 2013 13th UK Workshop on Computational Intelligence, UKCI 2013 (pp 54-61)
Dawson D, Siebers P-O & Vu TM () Opening Pandora's box: Some Insight into the Inner Workings of an Agent Based Simulation Environment. Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, 7 September 2014 - 10 September 2014.
Vu TM, Davies E, Buckley C, Brennan A & Purshouse R () Using Multi-objective Grammar-based Genetic Programming to Integrate Multiple Social Theories in Agent-based Modeling. Lecture notes in computer science