Papers listed by session

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Applied and computational mathematics

Stream leader: Barry Croke

A1. Advances in neural networks, soft systems and complex systems modelling and applications
- Session Organisers: Sandhya Samarasinghe and Irene Hudson Session description
- An improved stochastic modelling framework for biological networks
  Altarawni, I., Samarasinghe, S. and Kulasiri, D.
  https://doi.org/10.36334/modsim.2019.A1.altarawni
- Modelling curvelet based signal processing problems via wavelet analysis
  Bhosale, B.
  https://doi.org/10.36334/modsim.2019.A1.bhosale
- Some experiments in automated identification of Australian plants using convolutional neural networks
  Boston, T. and Van Dijk, A.I.J.M.
  https://doi.org/10.36334/modsim.2019.A1.boston
- Modelling cell aggregation using a modified swarm model
  Georgiou, F., Thamwattana, N. and Lamichhane, B.P.
  https://doi.org/10.36334/modsim.2019.A1.georgiou
- Artificial Neural Networks & Random Forest Classification of druggable molecules and disease targets via scoring functions (SFs)
  Hudson, I.L., Leemaqz, S.Y. and Abell, A.D.
  https://doi.org/10.36334/modsim.2019.A1.hudson
- Detection of dairy cattle Mastitis: modelling of milking features using deep neural networks
  Khamaysa Hajaya, M., Samarasinghe, S., Kulasiri, D. and Lopez Benavides, M.
  https://doi.org/10.36334/modsim.2019.A1.khamaysahajaya

A2. Spatial/spatio-temporal predictive modelling: variable selection, performance assessment and uncertainty quantification
- Session Organisers: Jin Li and Shuvo Bakar Session description
- Bushfire emergency response uncertainty quantification
  Bruggemann, T., Ford, J.J., White, G., Perez, T. and Power, W.
  https://doi.org/10.36334/modsim.2019.A2.bruggemann
- Bushfire emergency response simulation
  Bruggemann, T., Ford, J.J., White, G. and Perez, T.
  https://doi.org/10.36334/modsim.2019.A2.bruggemann2

A3. Solving practical inverse problems
- Session Organisers: Bob Anderssen and Markus Hegland Session description
- Deconvolution for oscillatory shear rheometry using the Landweber iteration
  Anderssen, R.S., de Hoog, F.R. and Loy, R.J.
  https://doi.org/10.36334/modsim.2019.A3.anderssen
- A functional strategy for nonlinear functionals
  Anderssen, R.S., Haak, B. and Hegland, M.
  https://doi.org/10.36334/modsim.2019.A3.anderssen2
- Stratified space learning: Reconstructing embedded graphs
  Bokor, Y., Grixti-Cheng, D., Hegland, M., Roberts, S. and Turner, K.
  https://doi.org/10.36334/modsim.2019.A3.bokor

A4. Bridging between mathematical and physically based models
- Session Organisers: Suxia Liu, Earl Bardsley, Milton Speer and Xingguo Mo Session description
- Evaporation rates for a coral island by field observation and simulation
  Han, S.S., Liu, S.X., Hu, S., Mo, X. and Song, X.
  https://doi.org/10.36334/modsim.2019.A4.han
- Temporal and spatial variation of precipitation in Nansha Islands, South China Sea
  Yao, D., Song, X. and Yang, L.
  https://doi.org/10.36334/modsim.2019.A4.yao

A5. Industrial modelling and simulation
- Session Organisers: Bob Anderssen and Julia Piantadosi Session description
- Using the DEMATEL method to identify key reasons for mathematics support
  Dzator, M. and Dzator, J.
  https://doi.org/10.36334/modsim.2019.A5.dzator
- Optimization models to locate health care facilities
  Dzator, M. and Dzator, J.
  https://doi.org/10.36334/modsim.2019.A5.dzator2
- 2D chaotic flow in competitive exothermic-endothermic reactions
  Huang, Z., Watt, S.D., Sidhu, H.S., McIntosh, A.C., Brindley, J., Jovanoski, Z. and Towers, I.N.
  https://doi.org/10.36334/modsim.2019.A5.huang
- Optimal partitioning of photovoltaic modules on a curved solar collector
  Kapsis, M., Albrecht, A.R. and Pudney, P.J.
  https://doi.org/10.36334/modsim.2019.A5.kapsis
- Stochastic processes in a discrete model of ground combat
  McLennan-Smith, T.A., Nelson, M., Jovanoski, Z., Rodrigo, M. and Sidhu, H.S.
  https://doi.org/10.36334/modsim.2019.A5.mclennansmith
- Multistage flow shop scheduling with bi-criteria objective using sequence dependent setup times
  Nailwal, K.K., Gupta, D. and Sharma, S.
  https://doi.org/10.36334/modsim.2019.A5.nailwal
- Nitrogen removal in a cascade of four reactors employing the activated sludge process
  Nelson, M.I. and Hai, F.I.
  https://doi.org/10.36334/modsim.2019.A5.nelson
- Evaluation of P-Delta instability in hardening oscillators using dynamical systems approach
  Pathak, S., Watt, S.D., Khennane, A. and Al-Deen, S.
  https://doi.org/10.36334/modsim.2019.A5.pathak

A6. Modelling, simulation and optimisation in engineering
- Session Organiser: Barry Croke Session description
- Modification of interval arithmetic in modeling uncertainty of boundary conditions in boundary value problems
  Kapturczak, M., Zieniuk, E. and Szerszeń, K.
  https://doi.org/10.36334/modsim.2019.A6.kapturczak
- Stability test for semi-active suspensions with base disturbance
  Storey, I.D. and Bourmistrova, A.
  https://doi.org/10.36334/modsim.2019.A6.storey
- T-splines and Bézier extraction in modeling shape of boundary in Parametric Integral Equation System for 3D problems of linear elasticity
  Szerszeń, K. and Zieniuk, E.
  https://doi.org/10.36334/modsim.2019.A6.szerszen
- Designing a new single-blade wind turbine using Computational Fluid Dynamics
  Wakes, S.J., Cornil, J. and Currie, B.
  https://doi.org/10.36334/modsim.2019.A6.wakes

B. ASOR – DORS

Stream Leaders: Simon Dunstall and Arvind Chandran

B1. Analysis and decision making under uncertainty
- Session Organisers: Geoff Lee and Darryn Reid Session description
- Relational algebraic approaches to decision making under uncertainty
  Chandrababu, A., Aswal, A. and Prasanna, G.N.S.
  https://doi.org/10.36334/modsim.2019.B1.chandrababu
- Modelling time decay in uncertain implication rules of evidence theory with a focus on cyber attacks
  El-Mahassni, E.
  https://doi.org/10.36334/modsim.2019.B1.el-mahassni
- A protocol for selecting a rule of combination for fusion of imprecise sensor data
  El-Mahassni, E.
  https://doi.org/10.36334/modsim.2019.B1.el-mahassni2
- Uncertainty quantification in classification problems: A Bayesian approach for predicating the effects of further test sampling
  Phillipson, J., Blair, G.S. and Henrys, P.
  https://doi.org/10.36334/modsim.2019.B1.phillipson
- Inventory control with partially observable states
  Wang, E., Kurniawati, H. and Kroese, D.P.
  https://doi.org/10.36334/modsim.2019.B1.wang

B2. Defence decision analysis
- Session Organiser: Richard Taylor Session description
- Evaluating a virtual human storyteller for improved decision support
  Blackmore, K.L., Smith, S.P., Nesbitt, K.V., North, L., Wark, S. and Nowina-Krowicki, M.
  https://doi.org/10.36334/modsim.2019.B2.blackmore
- Fishing for the unknown unknowns: A Bayesian perspective
  Niven, R.K.
  https://doi.org/10.36334/modsim.2019.B2.niven
- Multi-stock replenishment of naval vessels by specialist replenishment ships
  Rowling, S.J., Teo, M. and West, M.B.A.
  https://doi.org/10.36334/modsim.2019.B2.rowling

B3. Force design and wargaming
- Session Organiser: Renee Kidson Session description
- Aggregation of dependent criteria in multicriteria decision making problems by means of capacities
  Beliakov, G., Bowsell, S., Cao, T., Dazeley, R., Mak-Hau, V., Nguyen, M.-T., Wilkin, T. and Yearwood, J.
  https://doi.org/10.36334/modsim.2019.B3.beliakov
- A novel approach to informing the future land force: Incorporating design thinking and concept, development and exploration methods
  Manning, C.J., Stephens, A. and Richmond, M.K.
  https://doi.org/10.36334/modsim.2019.B3.manning
- Exploiting ecological non-trophic models in representations of warfare
  McLennan-Smith, T.A., Kalloniatis, A.C., Sidhu, H.S., Jovanoski, Z., Watt, S.D. and Towers, I.N.
  https://doi.org/10.36334/modsim.2019.B3.mclennan-smith
- Baselining the whole-of-force capability and capacity of the Australian Defence Force
  Peacock, J., Blumson, D., Mangalasinghe, J., Hepworth, A., Coutts, A. and Lo, E.H.S.
  https://doi.org/10.36334/modsim.2019.B3.peacock
- Narrative visualisation of simulations: Finding the stories within the data
  Walsh, J., Cunningham, A., Wark, S., Nowina-Krowicki, M. and Thomas, B.H.
  https://doi.org/10.36334/modsim.2019.B3.walsh

B4. Machine learning in Defence applications
- Session Organiser: Clint Heinze Session description
- Identifying intelligence links in threat networks through machine learning on explosives chemical data
  Crase, S., Hall, B. and Thennadil, S.
  https://doi.org/10.36334/modsim.2019.B4.crase
- An embodied cognition classifier of human emotion and senses
  Kernot, D.
  https://doi.org/10.36334/modsim.2019.B4.kernot
- Evolving behaviour trees for automated discovery of novel combat strategy in real-time strategy wargames
  Masek, M., Peng Lam, C., Kelly, L. and Wong, M.
  https://doi.org/10.36334/modsim.2019.B4.masek

B5. OR methods, platforms and applications
- Session Organiser: Brandon Pincombe Session description
- Correspondence analysis approach to examine the Nobel Prize
  Alhuzali, T., Stojanovski, E. and Beh, E.J.
  https://doi.org/10.36334/modsim.2019.B5.alhuzali

B6. OR/CP and analytics for transport, logistics, and supply chain
- Session Organisers: Amir Salehipour, Babak Abbasi and Andreas Ernst Session description
- Modelling railway traffic management through multi-agent systems and reinforcement learning
  Bretas, A., Mendes, A., Chalup, S., Jackson, M., Clement, R. and Sanhueza, C.
  https://doi.org/10.36334/modsim.2019.B6.bretas
- Flow balancing in a wastewater network by optimising storage in pumping stations
  Burt, C., Candy, B., D'Arpa, R., Koh, E.L., Meng, P., Salamone, D., Sondalini, T. and Taylor, P.
  https://doi.org/10.36334/modsim.2019.B6.burt
- The network maintenance problem on an arc with uncapacitated repair
  Charkhgard, P., Kalinowski, T. and Waterer, H.
  https://doi.org/10.36334/modsim.2019.B6.charkhgard
- A simple heuristic for the coupled task scheduling problem
  Khatami, M. and Salehipour, A.
  https://doi.org/10.36334/modsim.2019.B6.khatami
- A heuristic for the generalized due-date min-max earliness-tardiness problem
  Oron, D. and Salehipour, A.
  https://doi.org/10.36334/modsim.2019.B6.oron

B7. Design of experiments
- Session Organisers: Matthew Dragovic, Andrew Gill and David Marlow Session description
- Two common pitfalls applying design of experiments (and hopefully how to avoid them!)
  Gill, A.
  https://doi.org/10.36334/modsim.2019.B7.gill
- Simulation design and analysis to support decision making in the management of capability programs
  Jusaitis, D., Baddams, K., Sardesai, N. and Anderson, R.J.
  https://doi.org/10.36334/modsim.2019.B7.jusaitis

B8. Simulation-based analysis
- Session Organisers: Hasan Turan, Enayat Moallemi and Sondoss Elsawah Session description
- Modelling a multi-modal logistic network with agents and dynamic graphs
  Démare, T., Balev, S., Bertelle, C., Dutot, A., Fournier, D. and Sanlaville, E.
  https://doi.org/10.36334/modsim.2019.B8.demare
- An assessment of the accuracy of military workforce models
  Oliver, D.
  https://doi.org/10.36334/modsim.2019.B8.oliver
- Bayesian network meta-models from combat simulation for Defence decision analysis
  Shahzad, A., Mascaro, S., Cao, T. and Korb, K.B.
  https://doi.org/10.36334/modsim.2019.B8.shahzad
- Repair priorities in repairable spare part supply systems: a simulation-optimization approach
  Turan, H.H., Elsawah, S. and Ryan, M.J.
  https://doi.org/10.36334/modsim.2019.B8.turan
- A hybrid immersed boundary–lattice Boltzmann and finite difference method for bushfire simulation
  Wang, L. and Tian, F.-B.
  https://doi.org/10.36334/modsim.2019.B8.wangL

C. Biological systems

Stream Leaders: Malcolm McPhee and David Mayer

C1. Agricultural systems
- Session Organisers: Malcolm McPhee and David Mayer Session description
- Using pedotransfer functions to improve the precision of spatially predicted available water capacity
  Austin, J.M., Stockmann, U. and Verburg, K.
  https://doi.org/10.36334/modsim.2019.C1.austin
- Comparing remote sensing and tabulated crop coefficients to assess irrigation water use
  Bretreger, D., Warner, A. and Yeo, I-Y.
  https://doi.org/10.36334/modsim.2019.C1.bretreger
- Dynamic simulation of crop rotations to evaluate the impact of different nitrogen management strategies on water quality in Southland, New Zealand
  Khaembah, E.N., Cichota, R., Zyskowski, R. and Vogeler, I.
  https://doi.org/10.36334/modsim.2019.C1.khaembah
- Pasture API: A digital platform to support grazing management for southern Australia
  Thomas, D.T., Mitchell, P.J., Zurcher, E.J., Herrmann, N.I., Pasanen, J., Sharman, C. and Henry, D.A.
  https://doi.org/10.36334/modsim.2019.C1.thomas
- Modelling feedlots using the MEDLI model frameworkInvited Paper
  Vieritz, A.M., Lowry, M.M., Sullivan, T.J., Atzeni, M.G., Hope-O'Connor, A.J. and Watts, P.J.
  https://doi.org/10.36334/modsim.2019.C1.vieritz

C4. Advances in agent-based modelling and their statistical challenges in biological, ecological and agricultural systems
- Session Organisers: Mitchell Welch, Timothy Schaerf, Brenda Vo and Paul Kwan Session description
- Two-patch model for contact process: migration extends the survival region of species
  Nakagiri, N., Sato, K., Yokoi, H. and Tainaka, K.
  https://doi.org/10.36334/modsim.2019.C4.nakagiri

C6. Pasture and rangelands system modelling
- Session Organiser: Jo Owens Session description
- Improving evapotranspiration estimation in pasture and native vegetation models using flux tower data, remote sensing and global optimisation
  Owens, J., Carter, J., Fraser, G., Cleverly, J., Hutley, L. and Barnetson, J.
  https://doi.org/10.36334/modsim.2019.C6.owens

D. Computer science and engineering

Stream Leaders: Tim Peterson and Nicholas Car

D1. Provenance
- Session Organisers: Nicholas Car, Mingfang Wu and Wolfgang Mayer Session description
- Provenance narratives and visualisation to support understanding and trust
  Cunningham, A., Nowina-Krowicki, M., Walsh, J., Chung, J., Wark, S. and Thomas, B.H.
  https://doi.org/10.36334/modsim.2019.D1.cunningham
- Minimal requirement provenance capturing workflow systems for hydrological modelling
  Smith, T.C. and Davidson, A.J.
  https://doi.org/10.36334/modsim.2019.D1.smith

D2. Workflows and modelling software: opportunities, best practice and case studies
- Session Organiser: Paul Cleary Session description
- Translation of stranded IP to commercialisable software applications using Workspace
  Cleary, P.W., Hetherton, L., Thomas, D.G., Bolger, M. and Watkins, D.
  https://doi.org/10.36334/modsim.2019.D2.cleary
- The Bio-Mechanic Workspace plugin: Enabling biomechanical measurement and simulation across workflows and software applications
  Harrison, S.M. and Cohen, R.C.Z.
  https://doi.org/10.36334/modsim.2019.D2.harrison
- Workspace for Industry 4.0
  Hetherton, L., Bolger, M., Zhang, Z., Oakes, N., Watkins, D. and Cleary, P.W.
  https://doi.org/10.36334/modsim.2019.D2.hetherton
- Workspace – a Scientific Workflow System with commercial impact
  Oakes, N., Hetherton, L., Bolger, M., Thomas, D.G., Rucinski, C., Watkins, D. and Cleary, P.W.
  https://doi.org/10.36334/modsim.2019.D2.oakes
- An integrated optimisation functionality for Workspace
  Potter, D., Hetherton, L., Thomas, D.G., McNaughton, R. and Watkins, D.
  https://doi.org/10.36334/modsim.2019.D2.potter
- ArcWeld: A case study of the extensibility of software applications built using Workspace architecture
  Thomas, D.G., Murphy, A.B., Chen, F.F., Xiang, J. and Feng, Y.
  https://doi.org/10.36334/modsim.2019.D2.thomasDG

D3. Cloud and web applications for environmental data analysis and modelling
- Session Organisers: Dan Ames, Lucy Marshall, Stefan Reis and Dean Holzworth Session description
- Closing the loop on modelling's role in natural resource investment planning
  Marsh, N., Thompson, C., Stewart, M., Grice, V., Phung, V. and Smolders, A.
  https://doi.org/10.36334/modsim.2019.D3.marsh

D5. Machine-learning for environmental modelling
- Session Organisers: Wenyan Wu, Conrad Wasko, Ataur Rahman and Holger R Maier Session description
- Image recognition for vehicle traffic analysis at intersections
  Namekawa, M., Kanagawa, S. and Shinkai, K.
  https://doi.org/10.36334/modsim.2019.D5.namekawa
- Machine learning approaches to improve and predict water quality data
  Zhang, Y., Thorburn, P.J., Vilas, M.P. and Fitch, P.
  https://doi.org/10.36334/modsim.2019.D5.zhangYiF

E. Economics and finance

Stream Leaders: Michael McAleer and Chia-Lin Chang

E1. Modelling international business finance and financial markets in Asia
- Session Organiser: Zhaoyong Zhang Session description
- Causality and cointegration of stock markets within the Asian growth triangle
  Abidin, S.Z. and Banchit, A.
  https://doi.org/10.36334/modsim.2019.E1.abidin
- An improvement of jump diffusion model for Japan Nikkei 225 indexes and its application to estimating the stochastic volatility
  Kanagawa, S., Namekawa, M. and Shinkai, K.
  https://doi.org/10.36334/modsim.2019.E1.kanagawa

E2. Technology and innovation
- Session Organiser: Chia-Lin Chang Session description
- Inadequate corporate profitability and marketability efficiency: A case of Vietnam manufacturing enterprises
  Anh, D.L.T. and Gan, C.
  https://doi.org/10.36334/modsim.2019.E2.anh
- Investment location selection: Strategies for foreign direct investment in Vietnam
  Ho, L.T., Gan, C. and Hu, B.
  https://doi.org/10.36334/modsim.2019.E2.ho
- Classifying the shape of qPCR expression data
  Whigham, P.A., Stanton, J., Mason, C., Rawle, C.B. and Macknight, M.
  https://doi.org/10.36334/modsim.2019.E2.whigham

E3. Quantitative and computational finance
- Session Organisers: Chia-Lin Chang and Michael McAleer Session description
- Impact of positive and negative price shocks on investment portfolios in selected Asian markets
  Abidin, S.Z. and Banchit, A.
  https://doi.org/10.36334/modsim.2019.E3.abidin2
- Pricing carbon emissions for Japan based on energy production
  Chang, C.-L., Hamori, S. and McAleer, M.
  https://doi.org/10.36334/modsim.2019.E3.chang2
- Modelling latent carbon emission prices: theory and practice
  Chang, C.-L. and McAleer, M.
  https://doi.org/10.36334/modsim.2019.E3.mcaleer
- Contagion effect analysis of US to East Asia stock markets
  Tansuchat, R.
  https://doi.org/10.36334/modsim.2019.E3.tansuchat

E5. Ethical and sustainable finance
- Session Organisers: Sazali Abidin and Christopher Gan Session description
- Impacts of Microfinance Programs in Thailand
  Hemtanon, W. and Gan, C.
  https://doi.org/10.36334/modsim.2019.E5.hemtanon
- Risk tolerance, investment horizons and debt decisions
  Phung, T., Hsu, W., Naylor, M. and Young, M.
  https://doi.org/10.36334/modsim.2019.E5.phung
- Petty corruption on firm level innovation of MSMEs: Evidence from emerging economies
  Wellalage, N.
  https://doi.org/10.36334/modsim.2019.E5.wellalage

F. Energy, integrated infrastructure and urban planning

Stream Leaders: John Boland and Pascal Perez

F1. Probabilistic forecasting of solar farm output
- Session Organiser: John Boland Session description
- Time-space dependency of utility-scale solar photovoltaic power generation in the National Electricity Market
  Huang, J.
  https://doi.org/10.36334/modsim.2019.F1.huangJ
- Improving solar power forecasting to reduce regulation Frequency Control Ancillary Services causer pay in the National Electricity Market
  Huang, J. and West, S.
  https://doi.org/10.36334/modsim.2019.F1.huangJ2

F3. New trends in modelling and simulation of future mobility
- Session Organisers: Bo Du and Michael Bell Session description
- Routing strategy using local information based on a two layer cellular automaton model
  Zhu, B. and Liem, R.P.
  https://doi.org/10.36334/modsim.2019.F3.zhu

F4. Urban observatories and city benchmarking
- Session Organisers: Cole Hendrigan and Gideon Aschwanden Session description
- Meta-moderation for crowdsourced disaster management and urban participatory applications
  Ogie, R.I., Amirghasemi, M. and Perez, P.
  https://doi.org/10.36334/modsim.2019.F4.ogie
- Multi-objectives optimisation framework: A comparative study on the relationship between urban block typologies and key environmental performance indicators in Tianjin Eco-City
  Raharjo, G.P., Heng, C.K., Zhang, J., Sun, X.F., Chao, Y.H. and Shao, M.Q.
  https://doi.org/10.36334/modsim.2019.F4.raharjo

F5. Modelling the impact of low carbon energies
- Session Organisers: Pascal Perez, Fariba Ramezani and Michael Young Session description
- Hydrogen as a future fuel, challenges and opportunities: An overview of modelling approaches
  Grozev, G., Ramezani, F., Perez, P., Whetton, S. and Young, M.D.
  https://doi.org/10.36334/modsim.2019.F5.grozev

G. Environment and ecology

Stream Leaders: Andre Zerger, Brett Bryan and Grant Hamilton

G1. Modelling for the Great Barrier Reef
- Session Organisers: Barbara Robson, Dave Waters and Mark Silburn Session description
- Bayesian uncertainty analyses of Great Barrier Reef catchment water quality model parameters without likelihood assumptions
  Baheerathan, R. and Bennett, F.R.
  https://doi.org/10.36334/modsim.2019.G1.baheerathan
- Towards Ecologically Relevant Targets: Impact of flow and sediment discharge on seagrass communities in the Great Barrier ReefInvited Paper
  Lambert, V., Adams, M.P., Collier, C., Carter, A., Saunders, M., Brodie, J., Bainbridge, Z., Rasheed, M., Turner, R. and O'Brien, K.R.
  https://doi.org/10.36334/modsim.2019.G1.lambert
- Predicting subsurface water temperature from sea surface temperature in the Great Barrier Reef
  Quinlan, R., Robson, B.J. and Benthuysen, J.
  https://doi.org/10.36334/modsim.2019.G1.quinlan
- The erosion of an ideal gully under steady state conditions
  Roberts, M.E.
  https://doi.org/10.36334/modsim.2019.G1.roberts

G2. Modelling complex human-natural systems under uncertainty: advances of participatory and computational approaches
- Session Organisers: Enayat Moallemi, Shirin Malekpour and Brett Bryan Session description
- POMDPs for sustainable fishery management
  Filar, J.A., Qiao, Z. and Ye, N.
  https://doi.org/10.36334/modsim.2019.G2.filar

G3. The role of modelling and simulation to supporting evidence-based decision making in agriculture and biosecurity: science meets policy
- Session Organisers: Hazel Parry, Justine Murray and Matt Hill Session description
- Area-wide management guidelines for Sterile Insect Technique developed through interdisciplinary modelling research
  Parry, H., Capon, T., Clarke, A., Crisp, P., Hulthen, A., Kandulu, J., Kranz, B., Loechel, B., Mankad, A., Measham, P., Merkel, K., Murray, J., Reynolds, O., Schellhorn, N., Schwarzmueller, F., Tam, M., Tapsuwan, S., van Klinken, R., Whitten, S. and Williams, D.
  https://doi.org/10.36334/modsim.2019.G3.parry

G4. Integrating translational ecology in freshwater systems
- Session Organisers: Ashmita Sengupta and Danial Stratford Session description
- Integrated approach for predicting impacts of future climate and land-use changes on macroinvertebrates in a Mediterranean catchment using GF, SWAT and HEA models
  Sultana, J., Recknagel, F., Nguyen, H.H. and Tibby, J.
  https://doi.org/10.36334/modsim.2019.G4.sultana

G7. Integrated modelling and data science for environmental and human health
- Session Organisers: Stefan Reis, Gavin Pereira, Bin Jalaludin, Ivan Hanigan and Nicholas Osborne Session description
- Air quality modelling of 2016 Madrid air pollution episode
  San José, R., Pérez-Camaño, J.L., Pérez, L. and Gonzalez-Barras, R.M.
  https://doi.org/10.36334/modsim.2019.G7.sanjose
- Where do we recreate? Comparison of different methods to determine importance of site characteristics for outdoor recreation
  Willibald, F., Van Strien, M. and Grêt-Regamey, A.
  https://doi.org/10.36334/modsim.2019.G7.willibald

G9. Informatics and machine learning for ecology and agriculture
- Session Organisers: Grant Hamilton, Andre Zerger and Evangeline Corcoran Session description
- Modelling wildlife species abundance using automated detections from drone surveillance
  Corcoran, E., Denman, S. and Hamilton, G.
  https://doi.org/10.36334/modsim.2019.G9.corcoran

H. Global change and natural hazards

Stream Leaders: Jason Evans and Christoph Rudiger

H1. Global change population and economic risk assessments and risk-informed decision-making: modelling and simulation
- Session Organisers: Peijun Shi and Yongqiang Zhang Session description
- New understanding of climate change on the Qinghai-Tibetan Plateau and its adapting counter-measures
  Shi, P., Ye, T. and Chen, Y.
  https://doi.org/10.36334/modsim.2019.H1.shi
- Exploring the relationship between spatiotemporal characteristics of snow cover and ENSO episodes in the Qinghai-Tibetan Plateau
  Zhang, C., Liu, F. and Shen, Y.
  https://doi.org/10.36334/modsim.2019.H1.zhangC

H3. Enhancing real-time rainfall information: retrievals, analyses and forecasts
- Session Organisers: Pablo Rozas-Larraondo and Luigi J Renzullo Session description
- Daily rainfall data infilling with a stochastic model
  Jin, H., Shao, Q. and Crimp, S.
  https://doi.org/10.36334/modsim.2019.H3.jin

H5. New approaches to measure and model the dynamics of rivers, wetlands and constructed water bodies
- Session Organisers: Jiawei Hou, Norman Mueller, Claire Krause and Albert Van Dijk Session description
- Quantifying water volumes of ungauged lakes using optical satellite imagery and high-resolution LiDAR DEMs
  Bulovic, N., Sari, D.R. and Sabaghy, S.
  https://doi.org/10.36334/modsim.2019.H5.bulovic
- A global, near real-time system measuring river, lake, and reservoir dynamics
  Hou, J., Van Dijk, A.I.J.M. and Beck, H.E.
  https://doi.org/10.36334/modsim.2019.H5.houJ

H6. Earth observation data assimilation for improved land surface modelling
- Session Organisers: Siyuan Tian, Luigi J Renzullo and Wendy Sharples Session description
- Assimilating satellite soil moisture retrievals to improve operational water balance modelling
  Tian, S., Renzullo, L.J., Pipunic, R., Sharples, W., Lerat, J. and Donnelly, C.
  https://doi.org/10.36334/modsim.2019.H6.tian

H7. Modelling of bushfire dynamics, fire weather, impact and risk
- Session Organisers: Jason Sharples and Khalid Moinuddin Session description
- Insights into the role of fire geometry and violent pyroconvection
  Badlan, R.L., Sharples, J.J., Evans, J.P. and McRae, R.H.D.
  https://doi.org/10.36334/modsim.2019.H7.badlan
- Channel fire plume dynamics in sloping terrains
  Edgar, R.A., Sharples, J.J. and Sidhu, H.S.
  https://doi.org/10.36334/modsim.2019.H7.edgar
- Quantifying dynamic fire behaviour phenomena using Unmanned Aerial Vehicle technology
  Filkov, A., Cirulis, B. and Penman, T.
  https://doi.org/10.36334/modsim.2019.H7.filkov
- Victorian fire weather trends and variability
  Harris, S., Mills, G. and Brown, T.
  https://doi.org/10.36334/modsim.2019.H7.harris
- Wind-terrain effects on firebrand dynamics
  Hilton, J.E., Sharples, J.J., Garg, N., Rudman, M., Swedosh, W. and Commins, D.
  https://doi.org/10.36334/modsim.2019.H7.hilton
- Incorporating firebrands and spot fires into vorticity-driven wildfire behaviour models
  Hilton, J.E., Garg, N. and Sharples, J.J.
  https://doi.org/10.36334/modsim.2019.H7.hilton2
- Stochastic model for the ROS in a heterogeneous environment
  Jovanoski, Z., Sharples, J.J., Sidhu, H.S. and Towers, I.N.
  https://doi.org/10.36334/modsim.2019.H7.jovanoski
- Evolution of southeast Australian fire activity seasons
  McRae, R.H.D.
  https://doi.org/10.36334/modsim.2019.H7.mcrae
- Burn extent and severity mapping by spectral anomaly detection in the Landsat data cube
  Renzullo, L.J., Tian, S., Van Dijk, A.I.J.M., Larraondo, P.R., Yebra, M., Yuan, F. and Mueller, N.
  https://doi.org/10.36334/modsim.2019.H7.renzullo
- Evaluation of a simple rate of spread index applied to Canadian fuel types
  Sharples, J.J.
  https://doi.org/10.36334/modsim.2019.H7.sharples

H8. Single and multiple natural hazards: impacts on regional to global scales
- Session Organisers: Fei Ji and Nicholas Herold Session description
- Revisiting the Australian/New Zealand Standard for Wind Actions (AS/NZS 1170.2:2011): Do current wind standards sufficiently capture local wind climates?
  Magee, A.D. and Kiem, A.S.
  https://doi.org/10.36334/modsim.2019.H8.magee
- The role of climate drift in seasonal forecasts
  Osbrough, S.L., Frederiksen, J.S. and Frederiksen, C.S.
  https://doi.org/10.36334/modsim.2019.H8.osbrough

I. Health informatics

Stream Leaders: Louise Freebairn and Irene Hudson

I1. Modelling cancer, chronic disease, and safety data in translational research
- Session Organisers: Sejong Bae, Karan P Singh, Jong Bae Baek and Alfred Bartolucci Session description
- A flexible family of hypertabastic models
  Singh, K., Harrison, N., Eby, W., Tabatabai, M., Bursac, Z., Uhm, M., Bartolucci, A. and Bae, S.
  https://doi.org/10.36334/modsim.2019.I1.singh

I2. Health care decision support: applications and challenges
- Session Organisers: Louise Freebairn, Jo-An Atkinson, Shaowen Qin and Ante Prodan Session description
- “Stopping before you start”: Reducing and preventing initiation of tobacco use in the ACT
  Freebairn, L., Kreuger, K., Watson, C., Yang, O., Prodan, A., Graham, K.I., Draper, G., McDonnell, G., Nixon, E. and Atkinson, J-A.
  https://doi.org/10.36334/modsim.2019.I2.freebairn

I3. Data science and simulation modelling methods in the health sector
- Session Organisers: Jo-An Atkinson, Louise Freebairn, Shaowen Qin and Ante Prodan Session description
- Particle based droplet simulation in liquid-liquid two-phase flow
  Natsume, T., Oishi, M., Oshima, M. and Mukai, N.
  https://doi.org/10.36334/modsim.2019.I3.natsume

I4. Climate change and health – risks, health metrics and alerting
- Session Organisers: Irene Hudson, Ainura Tursunalieva and Madawa Jayawardana Session description
- A new Maxwell paired comparison model: application to a study of the effect of nicotine levels on cigarette brand choices
  Cheema, S.A., Hudson, I.L., Kifayat, T., Kalim-u-llah, Shafqat, M. and Hussain, A.
  https://doi.org/10.36334/modsim.2019.I4.cheema
- Copula modelling of agitation-sedation rating of ICU patients: towards monitoring and alerting tools
  Tursunalieva, A., Hudson, I.L. and Chase, J.G.
  https://doi.org/10.36334/modsim.2019.I4.tursunalieva

J. Participatory decision making and modelling social systems

Stream Leaders: Gregory Summerell and Oz Sahin

J1. Integrated participatory systems approach for modelling socio-ecological systems
- Session Organisers: Russell Richards and Oz Sahin Session description
- Skin groups and Onan: computer simulation as an aid to understanding anthropological phenomena
  Dekker, A.H.
  https://doi.org/10.36334/modsim.2019.J1.dekker
- An integrated approach for improved management of an island's scarce water resources under climate change and tourism development
  Phan, T.D., Sahin, O., Trinh, H.D., Dao, H.N., Mai, L.S., Pham, T.V., Do, T.P., Vu, T.M. and Capon, S.J.
  https://doi.org/10.36334/modsim.2019.J1.phan

J2. Holistic modelling and optimisation for sustainable design of buildings and communities
- Session Organisers: Edoardo Bertone and Emiliya Suprun Session description
- Orienting solar panels to minimise power shortfall
  Rowe, K. and Pudney, P.
  https://doi.org/10.36334/modsim.2019.J2.rowe
- Water and energy-based optimisation of a “MiniCity”: A system dynamics approach
  Suprun, E., de Oliveira, G., Bertone, E., Sahin, O., Ottmann, D. and Baumeister, J.
  https://doi.org/10.36334/modsim.2019.J2.suprun

J4. Application of new data, visualisation, analytics and decision support tools/systems for increasing climate resilience of infrastructure systems
- Session Organisers: Fahim Tonmoy and Oz Sahin Session description
- Urban sensing and weather prediction: Can IOT devices be used to improve weather prediction in cities?
  Garg, N., Prakash, M., Thatcher, M. and Sankaran, R.
  https://doi.org/10.36334/modsim.2019.J4.garg

J5. Science for sustainability: learning how to successfully use modelling and simulation to promote sustainability at the science-for-policy and science-for-management interfaces
- Session Organisers: Greg Summerell and Keith Matthews Session description
- Science for Sustainability: Using Societal Metabolism Analysis to check the robustness of European Union policy narratives in the water, energy and food nexus
  Matthews, K.B., Waylen, K.A., Blackstock, K.L., Juarez-Bourke, A., Miller, D.G., Wardell-Johnson, D.H., Rivington, M. and Giampietro, M.
  https://doi.org/10.36334/modsim.2019.J5.matthews
- Synthesising multiple observations into annual environmental condition reports: the OzWALD system and Australia’s Environment Explorer
  Van Dijk, A.I.J.M. and Rahman, J.
  https://doi.org/10.36334/modsim.2019.J5.vandijk

J6. Optimisation methods and applications to socio-environmental principle-agent problems
- Session Organisers: Brad Barnhart and Martin Volk Session description
- Bilevel optimisation as a solution method for an agri-environmental principal-agent problem
  Barnhart, B.L., Bostian, M.B., Hasan, S., Smart, J.C.R. and Fleming, C.
  https://doi.org/10.36334/modsim.2019.J6.barnhart

J7. Integrated assessment and modelling for understanding pathways for socio-environmental systems: case studies of impact
- Session Organisers: Lilly Lim-Camacho, Wendy Merritt and Serena Hamilton Session description
- Integrated assessment frameworks for understanding pathways for socially inclusive agricultural intensification
  Hamilton, S.H., Merritt, W.S., Lim-Camacho, L., Carter, L., Cosijn, M. and Roth, C.H.
  https://doi.org/10.36334/modsim.2019.J7.hamilton

J9. Being socially inclusive in your modelling practices: what does this mean and what are the benefits?
- Session Organisers: Susan Cuddy and Alex Baker Session description
- Evaluation of Mathematics teaching strategies in Australian High Schools
  Alzahrani, A.R. and Stojanovski, E.
  https://doi.org/10.36334/modsim.2019.J9.alzahrani
- Exploring the effects of linguistic and cultural similarities between interviewer and respondents' behavior in large scale surveys
  Cheema, S.A., Hudson, I.L., Aslam, Q., Shafqat, M., Kifayat, T. and Hussain, Z.
  https://doi.org/10.36334/modsim.2019.J9.cheema2
- Reflecting on integrated assessment in the Socially Inclusive Agricultural Intensification (SIAGI) project
  Merritt, W.S., Hamilton, S.H., Carter, L., Cosijn, M., Lim-Camacho, L. and Roth, C.H.
  https://doi.org/10.36334/modsim.2019.J9.merritt

K. Water resources

Stream Leaders: Francis Chiew and Jai Vaze

K1. Collaborative arrangements to support and improve water modelling
- Session Organisers: Paul Lawrence, Brian McIntosh, Piet Filet, Jenny Riches, Ed Couriel and Jean Erbacher Session description
- A collaborative review process supports better outcomes from environmental modelling
  Robson, B.J., Cuddy, S.M., Glamore, W., Rogers, Z., Ferguson, A.J.P. and Scanes, P.
  https://doi.org/10.36334/modsim.2019.K1.robson
- The collaboration model delivering land use information for Australia
  Stewart, J.B. and Mewett, J.L.
  https://doi.org/10.36334/modsim.2019.K1.stewart
- Constructing customized modeling guidelines: a Participatory Integrated Assessment and Modeling example
  Zare, F., Guillaume, J.H.A. and Jakeman, A.J.
  https://doi.org/10.36334/modsim.2019.K1.zare

K2. Flood and tsunami modelling: techniques and applications
- Session Organisers: Fazlul Karim, Stephen Roberts, Jin Teng and Jai Vaze Session description
- Urban flood modelling and planning system (UFMPS)
  Xu, W., Syme, B., Huxley, C. and Wu, W.
  https://doi.org/10.36334/modsim.2019.K2.xuW

K3. Large sample and high resolution hydrological studies to tackle a rapidly changing world
- Session Organisers: Yongqiang Zhang, Jorge Peña Arancibia, Fubao Sun and Dongryeol Ryu Session description
- Long-term vegetation change and its driving factors in a typical catchment of the Loess Plateau
  Huang, C.L. and Zhang, Y.Q.
  https://doi.org/10.36334/modsim.2019.K3.huangCL
- The spatio-temporal NDVI analysis for two different Australian catchments
  Kumari, N., Yetemen, O., Srivastava, A., Rodriguez, J.F. and Saco, P.M.
  https://doi.org/10.36334/modsim.2019.K3.kumari
- A pixel-based indicator of upland crop waterlogging using remote sensing soil moisture data
  Song, P.L., Huang, J.F. and Zhang, Y.Q.
  https://doi.org/10.36334/modsim.2019.K3.song

K6. Modelling eco-hydrological processes at different spatial and temporal scales
- Session Organisers: Edoardo Daly, Patricia Saco, Federico Maggi and Willem Vervoort Session description
- Assessment of the impact of cyclones on the annual sediment budget in a Pacific Island catchment using a hydro-sedimentological model
  Jorquera, E., Rodriguez, J.F., Saco, P.M. and Timmermans, H.
  https://doi.org/10.36334/modsim.2019.K6.jorquera
- Aspect-controlled spatial and temporal soil moisture patterns across three different latitudes
  Srivastava, A., Yetemen, O., Kumari, N. and Saco, P.M.
  https://doi.org/10.36334/modsim.2019.K6.srivastava

K7. Hydrologic non-stationarity and extrapolating models to predict the future
- Session Organisers: Jai Vaze, Francis Chiew, Murray Peel, Margarita Saft and Tim Peterson Session description
- Trends in precipitation and temperature in Canberra
  Hartigan, J., MacNamara, S. and Leslie, L.M.
  https://doi.org/10.36334/modsim.2019.K7.hartigan
- Assessment of hydrological stationarity of the Border Rivers catchment
  Raut, A.K., Kibria, G., Nandakumar, N. and Maheswaran, S.
  https://doi.org/10.36334/modsim.2019.K7.raut
- Projections of water futures for Australia: an update
  Zheng, H., Chiew, F.H.S., Potter, N.J. and Kirono, D.G.C.
  https://doi.org/10.36334/modsim.2019.K7.zhengH

K8. Advances in large scale hydrological modelling to improve assessments of water availability in a changing world
- Session Organisers: Jai Vaze, David Post, Barry Croke and Russell Crosbie Session description
- Downscaling runoff products using areal interpolation: a combined pycnophylactic-dasymetric method
  Kallio, M., Virkki, V., Guillaume, J.H.A. and Van Dijk, A.I.J.M.
  https://doi.org/10.36334/modsim.2019.K8.kallio

K9. Enabling better water resources decision making in the face of uncertainty
- Session Organisers: Bree Bennett, Michelle Ho and Lanying Zhang Session description
- A multi-scenario Decision Support System for real-time operation of over-year multi-reservoir systems 1. Model structure
  Arena, C., Cannarozzo, M., Oliva, F. and Mazzola, M.R.
  https://doi.org/10.36334/modsim.2019.K9.arena
- A multi-scenario Decision Support System for real-time operation of over-year multi-reservoir systems 2. DSS simulation
  Arena, C., Cannarozzo, M., Oliva, F. and Mazzola, M.R.
  https://doi.org/10.36334/modsim.2019.K9.arena2
- Irrigation water resource management: 'IW-QC2' software tool
  Awad, J., Pezzaniti, D., Vanderzalm, J., Esu, O.-O. and van Leeuwen, J.
  https://doi.org/10.36334/modsim.2019.K9.awad
- Modelling household water use: Using empirical data to inform continuous simulation
  Leonard, D. and Gato-Trinidad, S.
  https://doi.org/10.36334/modsim.2019.K9.leonard
- Development of an Atmosphere-Ocean-Geosphere-Coupled Climate Model and its application to the Kanto plain, Japan
  Vuillaume, J.F., Fukazawa, S., Goto, K., Hazart, A., Konishi, Y., Onishi, R., Sugiyama, T., Tada, K., Tawara, Y., Tosaka, H. and Takahashi, K.
  https://doi.org/10.36334/modsim.2019.K9.vuillaume

K10. Land surface observation and assimilation: data-model integration approach for improved hydrologic prediction and water resources management
- Session Organisers: In-Young Yeo, Jeff Walker, Xiaoling Wu and Medhi Khaki Session description
- Using an artificial neural network to enhance the spatial resolution of satellite soil moisture products based on soil thermal inertia
  Senanayake, I.P., Yeo, I-Y., Willgoose, G.R., Hancock, G.R. and Bretreger, D.
  https://doi.org/10.36334/modsim.2019.K10.senanayake

K13. Advances and applications in hydrometeorological forecasting
- Session Organisers: Tze Ling (Seline) Ng, Céline Cattoën-Gilbert, David Robertson, James Bennett, QJ Wang and Mark Thyer Session description
- Estimating Lake Mulwala diversions for calibration of a semi-distributed hydrologic model of the Murray River
  Ng, T.L., Robertson, D.E. and Bennett, J.C.
  https://doi.org/10.36334/modsim.2019.K13.ngTL

K14. Understanding and quantifying uncertainties in hydrologic and environmental models
- Session Organisers: Lucy Marshall, Danlu Guo and Stefania Grimaldi Session description
- Gradient boosting machine assisted approximate Bayesian computation for uncertainty analysis of rainfall-runoff model parameters
  Bennett, F.R.
  https://doi.org/10.36334/modsim.2019.K14.bennett
- Applying rainfall ensembles to explore hydrological uncertainty
  Kumari, N., Acharya, S.C., Renzullo, L.J. and Yetemen, O.
  https://doi.org/10.36334/modsim.2019.K14.kumari2
- Role of Wiener chaos expansion in modelling randomness for groundwater contamination flow
  Tiwari, P., Kulasiri, D. and Samarasinghe, S.
  https://doi.org/10.36334/modsim.2019.K14.tiwari

K15. Advances in water quality modelling and analysis
- Session Organisers: Anna Lintern, Danlu Guo, Susan Cuddy and Freeman Cook Session description
- Simulation of the suppressive effect of zinc on cyanobacteria in paper mill wastewater
  Burger, H., Awad, J., Hewa, G.A. and van Leeuwen, J.
  https://doi.org/10.36334/modsim.2019.K15.burger
- Modelling nitrogen transport in sugar cane from soil to runoff from banded surface and buried fertiliser using HYDRUS2D and a post-processing algorithm
  Cook, F.J., Eyles, M., Cowie, B., Bosomworth, B. and Silburn, M.
  https://doi.org/10.36334/modsim.2019.K15.cook
- Estimating bankfull channel geometry, dimensions and associated hydraulic attributes using high resolution DEM generated from LiDAR data
  Fentie, B.
  https://doi.org/10.36334/modsim.2019.K15.fentie
- What do we need from catchment water quality models in Australia?
  Fu, B., Merritt, W.S., Cuddy, S.M., Jakeman, A.J., Croke, B., Weber, T., Hall, J., Waters, D.K. and Baker, D.
  https://doi.org/10.36334/modsim.2019.K15.fuB
- Future Water: Comparing and contrasting approaches to predicting water quality
  Guo, D., Lintern, A., Prodanovic, V., Kuller, M., Bach, P.M., Deletic, A., Shi, B., McCarthy, D., Ryu, D., Webb, J.A., Liu, S. and Western, A.W.
  https://doi.org/10.36334/modsim.2019.K15.guo

K17. Modelling and assessing water resources and hydrology at the national level
- Session Organisers: Chantal Donnelly, Andrew Frost and Jai Vaze Session description
- The effects of SILO & AWRA wind speeds on irrigation depth simulations
  Bretreger, D. and Yeo, I-Y.
  https://doi.org/10.36334/modsim.2019.K17.bretreger2

K18. Groundwater hydrology
- Session Organisers: Tim Peterson, Elisabetta Carrara and Willem Vervoort Session description
- Quantifying the contribution of multiple factors to land subsidence using artificial intelligence technology in the typical area of Beijing, China
  Cheng, R., Zhu, L., Li, H., Yu, J., Guo, L., Hu, L. and Li, Y.
  https://doi.org/10.36334/modsim.2019.K18.chengR

K22. Australian drought: assessment and management for sustainable development
- Session Organiser: Fiona Johnson Session description
- Centennial-scale variability of soil moisture in eastern Australia
  Gibson, A.J., Hancock, G.R., Verdon-Kidd, D.C. and Wells, T.
  https://doi.org/10.36334/modsim.2019.K22.gibson
- Exploring post 2011–12 drought in the Murray–Darling Basin
  Nahar, J., Watson, M., Edraki, M., Walker, M. and George, B.
  https://doi.org/10.36334/modsim.2019.K22.nahar

K24. Spatial analysis for hydrological modelling
- Session Organisers: John Gallant and Jen Austin Session description
- Effects of soil data input on catchment streamflow and soil moisture prediction
  Binesh, A., Yeo, I-Y. and Hancock, G.R.
  https://doi.org/10.36334/modsim.2019.K24.binesh2
- Merging lidar with coarser DEMs for hydrodynamic modelling over large areas
  Gallant, J.
  https://doi.org/10.36334/modsim.2019.K24.gallant

K25. eWater Source for river basin modelling
- Session Organisers: Robert Carr and Trudy Green Session description
- Source adoption in Northern Victoria: a hydrological model of an integrated Goulburn, Broken, Campaspe, Coliban and Loddon Rivers system
  Li, Y., Manandhar, U. and Mariyapillai, S.
  https://doi.org/10.36334/modsim.2019.K25.li

K27. Using eWater Source to support Integrated Water Resource Management
- Session Organisers: Geoff Adams and Trudy Green Session description
- A vision for future hydrologic modelling to support Victoria's evolving water resource management
  Mariyapillai, S., Manandhar, U. and Sheedy, T.
  https://doi.org/10.36334/modsim.2019.K27.mariyapillai

K28. Understanding hydrological processes in a changing environment
- Session Organisers: Lei Cheng, Pan Liu, Lu Zhang, Jai Vaze and Francis Chiew Session description
- Understanding hydrological processes at a remote mountainous continuous permafrost watershed in a changing environment
  Nesterova, N., Makarieva, O. and Post, D.A.
  https://doi.org/10.36334/modsim.2019.K28.nesterova

Supporting evidence-based decision making: the role of modelling and simulation