Purshouse, Robin, Professor

Professor Robin Purshouse

School of Electrical and Electronic Engineering

Professor of Decision Sciences

r.purshouse@sheffield.ac.uk
+44 114 222 5618

Amy Johnson Building

Full contact details

Professor Robin Purshouse
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
��«Ӱҵ
S1 3JD

Profile

Robin Purshouse received the MEng degree in Control Systems Engineering in 1999 and a PhD in Control Systems in 2004 for his research on evolutionary many-objective optimisation under the supervision of Peter Fleming. Commercial experience includes (1999-2000), (2003-2007) and (2007-2008). He returned to the University of ��«Ӱҵ in 2008 - initially as a Research Fellow in the School of Health and Related Research and, since 2010, as a Lecturer in the Department of Automatic Control & Systems Engineering.

Robin was a principal architect of the ��«Ӱҵ Alcohol Policy Model, alongside Alan Brennan, RachidRafia, and Petra Meier. He was the holder of an ESRC Future Research Leaders grant award (October 2012 - September 2014) and, with Peter Fleming and Carlos Fonseca, was General Chair of the seventh international conference in the world-leading series on Evolutionary Multi-Criterion Optimization (EMO) held in ��«Ӱҵ in March 2013.

Research interests

Robin's research aims to help improve how we identify and choose between possible solutions to a problem, with a particular focus on the process of policy appraisal. There are a number of factors that make policy appraisal a challenging research area:

Multiple trade-offs	When deciding on a best course of action, there is usually more than one performance criterion, or objective, to be considered. If these objectives are in conflict with each other, then we are faced with multiple ‘best’ solutions offering different trade-offs between the objectives. In decision analysis we often use methods that attempt to identify these trade-offs, but if there are more than three objectives to consider then some of the most popular methods are likely to fail at this task.
Multiple stakeholders	In order to identify a single best solution, we need to introduce subjective preferences for different trade-offs between objectives. Most decisions will affect a multitude of different stakeholders, so we need to use methods that can build a consensus or arbitrate between different sets of values. Some of the best practice methods for achieving this are quite unpopular with the stakeholders themselves. Open questions exist for government decisions: should the preferences be those of society? How do we measure these? How do we achieve consistency between different decisions?
Deep uncertainty	In decision analysis, we try to measure how well each possible solution performs against each objective. For engineering design problems, we can often build mathematical models that can predict quite precisely how an option will perform once implemented. However, when considering social policy, our current models of social processes are subject to much more uncertainty. We need to develop methods that can improve our quantitative understanding of social systems and also think more about how to integrate attitudes to risk, and the value of delaying a decision to reduce uncertainty, into trade-off analysis methods.
Cognitive challenge	In decision analysis, the aims are to provide support to the individuals tasked with making a decision and to help develop a shared understanding of the problem and its potential solutions. Communication of trade-offs is vital to these aims, and this task starts to become challenging as the number of objectives rises beyond three. If our predictions are precise, then visualisation methods are available – but when our predictions are uncertain then these current methods are of limited value.

Publications

Journal articles

Bright S, Buckley C, Holman D, Leckie G, Bell A, Mulia N, Kilian C & Purshouse R (2024) . Social Science & Medicine, 117577-117577.
Squires H, Kelly MP, Gilbert N, Sniehotta F, Purshouse RC, Garcia L, Breeze P, Brennan A, Gardner B, Bright S , Fischer A et al (2024) . BMC Public Health, 24(1).
Boyd J, Holmes J, Gibbs N, Buckley C, Purshouse R & Meier P (2024) . Drug and Alcohol Review.
Purshouse RC, Buckley C & Brennan A (2024) . Environmental Modelling & Software, 173, 105959-105959.
Squires H, Kelly MP, Gilbert N, Sniehotta F & Purshouse RC (2023) . Health Economics.
Hassannezhad M, Gogarty M, O’Connor CH, Cox J, Meier PS & Purshouse RC (2023) . Futures, 152, 103200-103200.
Buckley C, Breeze P, Brennan A, Colasanti R, Leach M & Purshouse R (2023) . Appetite, 189, 106933-106933.
Breeze PR, Squires H, Ennis K, Meier P, Hayes K, Lomax N, Shiell A, Kee F, de Vocht F, O’Flaherty M , Gilbert N et al (2023) . Health Economics.
O'Connor CH, Smith K, Hughes C, Meier P & Purshouse R (2023) . Public Administration.
Probst C, Buckley C, Lasserre AM, Kerr WC, Mulia N, Puka K, Purshouse RC, Ye Y & Rehm J (2023) . American Journal of Epidemiology.
Buckley C, Brennan A, Kerr W, Probst C, Puka K, Purshouse R & Rehm J (2022) . International Journal of Alcohol and Drug Research, 10(1), 24-33.
Puka K, Buckley C, Mulia N, Purshouse RC, Lasserre AM, Kerr W, Rehm J & Probst C (2022) . Addiction.
Wu G, Heppenstall A, Meier P, Purshouse R & Lomax N (2022) . Scientific Data, 9(1).
Buckley C, Field M, Vu TM, Brennan A, Greenfield TK, Meier PS, Nielsen A, Probst C, Shuper PA & Purshouse RC (2021) . Addictive Behaviors, 107094-107094.
Purshouse RC, Buckley C, Brennan A & Holmes J (2021) . Addiction.
Boyd J, Bambra C, Purshouse RC & Holmes J (2021) . International Journal of Environmental Research and Public Health, 18(11).
Boyd J, Sexton O, Angus C, Meier P, Purshouse RC & Holmes J (2021) . Addiction (Abingdon, England).
Duro JA, Yan Y, Giagkiozis I, Giagkiozis S, Salomon S, Oara DC, Sriwastava AK, Morison J, Freeman CM, Lygoe RJ , Purshouse RC et al (2020) . Applied Soft Computing.
Vu TM, Buckley C, Bai H, Nielson A, Probst C, Brennan A, Shuper P, Strong M & Purshouse R (2020) . Complexity, 2020.
Vu T, Probst C, Nielsen A, Bai H, Buckley C, Meier P, Strong M, Brennan A & Purshouse R (2020) . Journal of Artificial Societies and Social Simulation, 23(3).
Churchill S, Angus C, Purshouse R, Brennan A & Sherk A (2020) . Statistical Methods in Medical Research.
Probst C, Vu TM, Epstein JM, Nielsen AE, Buckley C, Brennan A, Rehm J & Purshouse RC (2020) . Health Education and Behavior.
Meier P, Purshouse R, Bain M, Bambra C, Bentall R, Birkin M, Brazier J, Brennan A, Bryan M, Cox J , Fell G et al (2019) . Wellcome Open Research, 4.
Purshouse RC, Brennan A, Holmes J & Meier PS (2018) . Addiction, 113(2), 372-373.
Purshouse RC, Brennan A, Moyo D, Nicholls J & Norman P (2017) . Alcohol and Alcoholism, 52(3), 372-381.
Klamroth K, Mostaghim S, Naujoks B, Poles S, Purshouse R, Rudolph G, Ruzika S, Sayin S, Wiecek MM & Yao X (2017) . Journal of Multi-Criteria Decision Analysis, 24(1-2), 71-81.
Salomon S, Avigad G, Purshouse RC & Fleming PJ (2016) . Engineering Optimization, 48(4), 652-671.
Brennan A, Meier P, Purshouse R, Rafia R, Meng Y & Hill-Macmanus D (2016) . Annals of Operations Research, 236(1), 149-176.
Brennan A, Meier P, Purshouse R, Rafia R, Meng Y, Hill-Macmanus D, Angus C & Holmes J (2015) . Health Economics, 24(10), 1368-1388.
Probst C, Moyo D, Purshouse R & Rehm J (2015) . Addiction, 110(8), 1272-1280.
Wang R, Purshouse RC, Giagkiozis I & Fleming PJ (2015) . European Journal of Operational Research, 243(2), 442-453.
Wang R, Mansor MM, Purshouse RC & Fleming PJ (2015) . International Journal of Systems Science, 46(13), 2407-2420.
Wang R, Purshouse RC & Fleming PJ (2014) . European Journal of Operational Research.
Giagkiozis I, Purshouse RC & Fleming PJ (2014) . Information Sciences, 282, 363-387.
Angus C, Latimer N, Preston L, Li J & Purshouse R (2014) . Frontiers in Psychiatry.
Holmes J, Meng Y, Meier PS, Brennan A, Angus C, Campbell-Burton A, Guo Y, Hill-McManus D & Purshouse RC (2014) . Lancet, 383(9929), 1655-1664.
Purshouse RC, Holmes J & Meier PS (2014) . Addiction, 109(4), 568-569.
Meng Y, Brennan A, Purshouse R, Hill-McManus D, Angus C, Holmes J & Meier PS (2014) . J Health Econ, 34, 96-103.
Salomon S, Avigad G, Fleming PJ & Purshouse RC (2014) . IEEE Transactions on Cybernetics, 44(11), 2221-2231.
Angus C, Scafato E, Ghirini S, Torbica A, Ferre F, Struzzo P, Purshouse R & Brennan A (2014) . BMC Fam Pract, 15, 26.
Purshouse RC, Ally AK, Brennan A, Moyo D & Norman P (2014) . Proceedings of the 2014 conference on Genetic and evolutionary computation - GECCO '14.
Giagkiozis I, Purshouse RC & Fleming PJ (2013) . International Journal of Systems Science.
Purshouse RC, Angus CR & Holmes J (2013) . NORDIC STUDIES ON ALCOHOL AND DRUGS, 30(5), 445-447.
Purshouse RC, Brennan A, Rafia R, Latimer NR, Archer RJ, Angus CR, Preston LR & Meier PS (2013) . Alcohol and Alcoholism, 48(2), 180-188.
Meier PS, Meng Y, Holmes J, Baumberg B, Purshouse R, Hill-McManus D & Brennan A (2013) . Alcohol and Alcoholism, 48(2), 241-249.
Wang R, Fleming PJ & Purshouse RC (2013) . Information Sciences.
Purshouse RC, Meier PS, Brennan A, Taylor KB & Rafia R (2010) . Lancet, 375(9723), 1355-1364.
Meier PS, Purshouse R & Brennan A (2010) . Addiction, 105(3), 383-393.
Meier PS, Purshouse R & Brennan A (2010) . Addiction, 105(3), 400-401.
Purshouse RC & Fleming PJ (2007) . IEEE T EVOLUT COMPUT, 11(6), 770-784.
Fleming PJ & Purshouse RC (2002) Evolutionary algorithms in control systems engineering: a survey. CONTROL ENG PRACT, 10(11), 1223-1241.
Fleming PJ & Purshouse RC (2001) . IFAC Proceedings Volumes, 34(22), 14-25.
Bright S, Buckley C, Holman D, Leckie G, Bell A, Mulia N, Kilian C & Purshouse R () An analysis of intersectional disparities in alcohol consumption in the US. Social Science and Medicine.
Vu TM, Buckley C, Duro JA, Brennan A, Epstein JM & Purshouse RC () . Journal of Artificial Societies and Social Simulation, 26(2).
Duro JA, Ozturk UE, Oara DC, Salomon S, Lygoe RJ, Burke R & Purshouse RC () Methods for constrained optimization of expensive mixed-integer multi-objective problems, with application to an internal combustion engine design problem. European Journal of Operational Research.
Moyo D, Ally AK, Brennan A, Norman P, Purshouse RC & Strong M () . Journal of Artificial Societies and Social Simulation, 18(3).
Brennan A, Buckley C, Vu TM, Probst C, Nielsen A, Bai H, Broomhead T, Greenfield T, Kerr W, Meier PS , Rehm J et al () . International Journal of Microsimulation, 13(2), 21-60.
Patra J, Buckley C, Kerr WC, Brennan A, Purshouse RC & Rehm J () . Drug and Alcohol Review.
Rehm J, Patra J, Brennan A, Buckley C, Greenfield TK, Kerr WC, Manthey J, Purshouse RC, Rovira P, Shuper PA & Shield KD () . Drug and Alcohol Review.
Rehm J & Purshouse RC () . Drug and Alcohol Review.

Chapters

Brockhoff D, Emmerich M, Naujoks B & Purshouse R (2023) , Natural Computing Series (pp. 3-28). Springer International Publishing
Duro JA, Purshouse RC, Salomon S, Oara DC, Kadirkamanathan V & Fleming PJ (2019) , Lecture Notes in Computer Science (pp. 424-438). Springer International Publishing
Purshouse R, Chadwick A, Moore J & Hupcey MAZ (2006) Improving the pharmaceutical R&D process: how simulation can support management decision making., Computer Applications in Pharmaceutical Research and Development (pp. 247-273).

Conference proceedings papers

Johnson V, Duro JA, Kadirkamanathan V & Purshouse RC (2023) (pp 319-332)
Buckley C, Kilian C, Purshouse RC & Probst C (2023) The impact of alcohol availability policies on alcohol-related mortality by socioeconomic status in the united states: A modelling study. ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH, Vol. 47 (pp 250-251)
Purshouse RC (2023) Targeted brief intervention strategies in social groups: An empirical agent-based modeling study. ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH, Vol. 47 (pp 137-137)
Bright S, Buckley C, Holman D, Bell A, Kilian C, Carr T, Probst C & Purshouse R (2023) Mapping intersectional inequalities in alcohol consumption in the US: A multilevel model of individual heterogeneity and discriminatory accuracy. ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH, Vol. 47 (pp 358-359)
Probst C, Purshouse RC, Buckley C, Lasserre AM, Kerr WC, Kilian C, Mulia N, Ye Y & Rehm J (2023) Simulation of alcohol control policies for health equity (SIMAH) - A novel approach to modeling alcohol control intervention scenarios in the United States. ALCOHOL-CLINICAL AND EXPERIMENTAL RESEARCH, Vol. 47 (pp 38-39)
Johnson V, Duro JA, Kadirkamanathan V & Purshouse RC (2022) . 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 4 December 2022 - 7 December 2022.
Buckley C, Lasserre AM, Kerr WC, Mulia N, Puka K, Purshouse R, Ye Y, Rehm J & Probst C (2022) INTRODUCING THE SIMULATION OF ALCOHOL CONTROL POLICIES FOR HEALTH EQUITY (SIMAH) MICROSIMULATION MODEL. ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, Vol. 46 (pp 32A-32A)
Jones OPH, Oakley JE & Purshouse RC (2021) . 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 17 October 2021 - 20 October 2021.
Duro J, Oara D, Sriwastava A, Yan Y, Salomon S & Purshouse R (2021) . GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp 1531-1539). Lille, France, 10 July 2021 - 14 July 2021.
Vu TM, Davies E, Buckley C, Brennan A & Purshouse RC (2021) (pp 721-733)
Millan-Blanquel L, Veres SM & Purshouse RC (2020) . 2020 28th Mediterranean Conference on Control and Automation (MED), 15 September 2020 - 18 September 2020.
Jones OPH, Oakley JE & Purshouse RC (2019) . 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp 2148-2153). Bari, Italy, 6 October 2019 - 9 October 2019.
Vu TM, Probst C, Epstein JM, Brennan A, Strong M & Purshouse RC (2019) . 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)
Nielsen AE, Brennan A, Kerr W & Purshouse R (2019) SYNTHESIZING THE RATIONAL ADDICTION AND MYOPIC CHOICE ECONOMIC MODELS TO EXPLAIN POPULATION ALCOHOL USE AND UNDERSTAND PRICING POLICIES: AN AGENT-BASED SIMULATION. ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, Vol. 43 (pp 141A-141A)
Jones OPH, Oakley JE & Purshouse RC (2019) Toward a unified framework for model calibration and optimisation in virtual engineering workflows. 2019 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC) (pp 3148-3153)
Jones O, Oakley JE & Purshouse R (2018) . Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2018) (pp 689-696), 15 July 2018 - 19 July 2018.
Duro J, Yan Y, Purshouse R & Fleming PJ (2018) . Proceedings of GECCO '18, 15 July 2018 - 19 July 2018.
Nielsen AE & Purshouse RC (2018) MODELING SOCIAL NETWORK SELECTION AND INFLUENCE MECHANISMS ON ALCOHOL USE AT LARGE SCALE: AN EXPLORATORY AGENT-BASED MODEL. ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, Vol. 42 (pp 331A-331A)
Purshouse RC, Nielsen A & Brennan A (2018) A CONCEPTUAL FRAMEWORK FOR MODELING ALCOHOL USE DYNAMICS OVER OPULATION HEALTH TIME HORIZONS. ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, Vol. 42 (pp 331A-331A)
Broomhead T, Purshouse R, Strong M, Brennan A, Kerr W, Greenfield T, Nielsen A & Probst C (2018) PLATFORM FOR CALIBRATED, SYSTEM-BASED MODELS OF ALCOHOL USE DYNAMICS. ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, Vol. 42 (pp 331A-331A)
Purshouse R, Zarges C, Cussat-Blanc S, Epitropakis MG, Gallagher M, Jansen T, Kerschke P, Li X, Lobo FG, Miller J , Oliveto PS et al (2018) (pp 490-497)
Purshouse RC (2017) TOWARD A DYNAMIC ALCOHOL POLICY MODEL FOR APPRAISAL OF POPULATION-LEVEL INTERVENTIONS. ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, Vol. 41 (pp 330A-330A)
Aghamohammadi NR, Salomon S, Yan Y & Purshouse RC (2017) . Lecture Notes in Computer Science, Vol. 10173 (pp 1-15)
Salomon S, Purshouse RC, Giagkiozis I & Fleming PJ (2016) . Proceedings of the 2016 on Genetic and Evolutionary Computation Conference (pp 597-604). New York
Jeavons CE, Baldwin JS, McGourlay J & Purshouse RC (2016) . Advances in Transdisciplinary Engineering, Vol. 4 (pp 662-671)
Salomon S, Purshouse RC, Avigad G & Fleming PJ (2015) (pp 141-155)
Purshouse RC, Deb K, Mansor MM, Mostaghim S & Wang R (2014) . 2014 IEEE Congress on Evolutionary Computation (CEC), 6 July 2014 - 11 July 2014.
Mansor MM, Giagkiozis I, Wall D, Mills AR, Purshouse RC & Fleming PJ (2014) . IFAC Proceedings Volumes, Vol. 47(3) (pp 2634-2639)
Giagkiozis I, Purshouse RC & Fleming PJ (2013) . Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 (pp 615-620)
Holmes J, Meng Y, Meier PS, Brennan A, Angus C, Campbell-Burton A, Guo Y, Hill-McManus D & Purshouse RC (2013) . The Lancet, Vol. 382 (pp S47-S47)
Wang R, Purshouse RC & Fleming PJ (2013) . GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion (pp 101-102)
Wang R, Purshouse RC & Fleming PJ (2013) . IEEE Transactions on Evolutionary Computation, Vol. 17(4) (pp 474-494)
Wang R, Purshouse RC & Fleming PJ (2013) . 2013 IEEE Congress on Evolutionary Computation, CEC 2013 (pp 916-923)
Wang R, Purshouse RC & Fleming PJ (2013) On Finding Well-Spread Pareto Optimal Solutions by Preference-inspired Co-evolutionary Algorithm. GECCO'13: PROCEEDINGS OF THE 2013 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (pp 695-702)
Wang R, Purshouse RC & Fleming PJ (2013) . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 7811 LNCS (pp 337-351)
Purshouse RC & McAlister J (2013) . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 7811 LNCS (pp 726-740)
Giagkiozis I, Purshouse RC & Fleming PJ (2013) . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 7811 LNCS (pp 428-442)
Purshouse RC, Fleming PJ, Fonseca CM, Greco S & Shaw J (2013) . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 7811 LNCS
Salomon S, Avigad G, Fleming PJ & Purshouse RC (2013) . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 7811 LNCS (pp 21-35)
Coelho DG, Wanner EF, Souza SR, Carrano EG & Purshouse RC (2012) . 2012 IEEE Congress on Evolutionary Computation, CEC 2012
Eleffendi MA, Purshouse R & Mills AR (2012) . IEEE Aerospace Conference Proceedings
Wang R, Purshouse R & Fleming P (2012) . GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation (pp 513-520)
Purshouse RC, Jalbǎ C & Fleming PJ (2011) . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 6576 LNCS (pp 136-150)
Meier P, Brennan A & Purshouse R (2010) MODELLING GENERAL AND TARGETED PRICE POLICY OPTIONS: ESTIMATION OF EFFECTS ON DIFFERENT SUBGROUPS OF THE POPULATION. ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, Vol. 34(6) (pp 251A-251A)
Fleming PJ, Purshouse RC & Lygoe RJ (2005) Many-objective optimization: An engineering design perspective. EVOLUTIONARY MULTI-CRITERION OPTIMIZATION, Vol. 3410 (pp 14-32)
Purshouse RC & Fleming PJ (2003) Evolutionary many-objective optimisation: An exploratory analysis. CEC: 2003 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-4, PROCEEDINGS (pp 2066-2073)
Purshouse RC & Fleming PJ (2003) Conflict, harmony, and independence: Relationships in evolutionary multi-criterion optimisation. EVOLUTIONARY MULTI-CRITERION OPTIMIZATION, PROCEEDINGS, Vol. 2632 (pp 16-30)
Purshouse RC & Fleming PJ (2003) Adaptive divide-and-conquer methodology for evolutionary multi-criterion optimisation. EVOLUTIONARY MULTI-CRITERION OPTIMIZATION, PROCEEDINGS, Vol. 2632 (pp 133-147)
Purshouse RC & Fleming PJ (2002) Why Use Elitism And Sharing In A Multi-objective Genetic Algorithm?. GECCO (pp 520-527)
Fleming PJ & Purshouse RC (2002) Evolutionary computing: Opportunities for control. NEW TECHNOLOGIES FOR COMPUTER CONTROL 2001 (pp 21-32)
Johnson V, Duro J, Kadirkamanathan V & Purshouse R () . Genetic and Evolutionary Computation Conference Companion (GECCO '23 Companion), July 15--19, 2023, Lisbon, Portugal, 15 July 2023 - 19 May 2023.

Reports

Salomon S, Avigad G, Fleming PJ & Purshouse RC (2013) Active Robust Optimization - Enhancing Robustness to Uncertain Environments

Preprints

Angus C, Holmes J, Purshouse R, Meier P & Brennan A (2022) , Cold Spring Harbor Laboratory.
Hassannezhad M, Gogarty M, O’Connor CH, Cox J, Meier PS & Purshouse RC (2021) , Institute of Electrical and Electronics Engineers (IEEE).
Hassannezhad M, Gogarty M, O’Connor CH, Cox J, Meier PS & Purshouse RC (2021) , Institute of Electrical and Electronics Engineers (IEEE).

Grants

Current Grants

The HealthMod Cluster: Enhancing Policy Modelling Capabilities to Tackle the Economic Determinants of Health and Health Inequality, MRC, 04/2023 - 03/2028, £9,055,452, as Co-I
Targeting multiple levels of ‘the smoking cessation system’ using novel scientific approaches, CRUK, 04/2022 - 03/2027, £531,098, as PI
, RCUK, 06/2021 - 11/2022, £181,653, as Co-PI
A microsimulation of alcohol control interventions to advance health equity and
reverse the current decrease in life expectancy in the US, NIH, 10/2020 - 09/2025, $332,505, as sub award PI
(the SIPHER Consortium), 09/2019 - 03/2025, £6,926,749, as co-PI

Previous Grants

Developing a proof-of-concept agent-based model of the relationship between food advertising and food choices in England, RCUK, 09/2022 - 03/2023, £24,990, as Co-PI
SIPHER – Systems science in Public health and Health Economic Research, Research England, 04/2021 - 03/2022, as PI
Many-objective Optimisation Pilot Project, Industrial, 10/2018 - 05/2019, £64,720, as PI
Consortium Developmental Grant, UK Prevention Research Partnership, 07/2018 - 11/2018, £46,105, as Co-I
DYNAMO: DYNamic Analysis Modelling and Optimisation of GDI Engines, 04/2018 - 06/2021, £401,252, as PI
Liger - an Open-source Integrated Optimisation Environment, Digital Engineering and Test Centre, 01/2018 - 05/2019, £60,000, as PI
CASCADE: Calibrated Agent Simulations for Combined Analysis of Drinking Etiologies, NIAAA, 08/2016 - 04/2022, $2,313,250, as PI
Optimization for robust design: Integrating model-based systems engineering with multi-criteria decision-making support in a distributed framework, EPSRC, 05/2014 - 05/2018, £1,074,429, as co-PI
ASUR hybrid power packs, Industrial, 10/2013 - 03/2014, £29,991, as PI
Value-based Bayesian sequential analysis for fault monitoring, EPSRC, 01/2013 - 08/2014, £18,099, as co-PI
Complex systems modelling of alcohol consumption dynamics in the British population, ESRC, 10/2012 - 09/2014, £173,428, as PI
Alcohol policy modelling and evaluation, MRC, 11/2010 - 10/2013, £1,034,163, as co-PI

Teaching activities

ACS125 Systems Modelling and Simulation

Jointly led by George Panoutsos and Robin Purshouse, this module aims to provide students with an introductory systems perspective on both the science and art of mathematical modelling. Robin provides an introduction to discrete, stochastic and hybrid systems in the Spring Semester. The module motivates the need for mathematical modelling through a series of six major case studies, spread throughout the academic year. A diverse range of systems is considered, with the Spring Semester focusing on the pharmacoeconomics of HIV treatment options, the effect of environmental variability on an automotive suspension system, and the digital control of a hydraulic extrusion press.

ACS108 Laboratory and Professional Skills

Robin leads on the Employability Theme within this wider module on professional and laboratory skills taught by the Level 1 team at ACSE. Within the theme, through a series on engagements spread across the academic year, students are encouraged to reflect on the competencies needed to be professional systems engineers and active citizens. Our current industrial guest speakers on the module are Marion Carrabin from and Luke Creasey from .

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School of Electrical and Electronic Engineering

School of Electrical and Electronic Engineering

Professor Robin Purshouse

Journal articles

Chapters

Conference proceedings papers

Reports

Preprints

Current Grants

Previous Grants

ACS125 Systems Modelling and Simulation

ACS108 Laboratory and Professional Skills

Links