Professor Soon-Thiam Khu

• China’s Water Pollution Control Plan in Key water basins 2011 - 2015
• Integrated modelling of urban water systems to evaluate environmental impact of urbanization and improve the planning and design of urban infrastructures for multiple utilities
• Improving the uptake and acceptance of hydroinformatics research by decision makers, policy advisors and stakeholders;
• Application of evolutionary computing in Water Systems such as multiple criteria optimisation, and calibration of rainfall-runoff models; estuarine models; design and operations of water distribution systems through modelling; early warning systems; flood defence optioneering, flood risk assessments, flood forecasting.
• Research into improving the performance of hydroinformatics tools:
• Multi-objective genetic algorithms, artificial neural networks, genetic programming, fuzzy inference, cellular automata, agent-based systems, chaos theory.

Journal Articles [updated on October 17, 2012]

1. Sun S., Fu G. Djordjevic S, and Khu S-T (2012). Separating aleatory and epistemic uncertainties: probabilistic sewer flooding evaluation in urban drainage systems using probability box. J. Hydrol. 420-421, 360-372. http://dx.doi.org/10.1016/j.jhydrol.2011.12.027
2. Qin H., Khu S-T. and Yu X (2011). An integrated model for water management in a rapidly urbanizing catchment. Environmental Modelling & Software, http://dx.doi.org/10.1016/j.envsoft.2011.07.003,.
3. Sun S., Djordjevic S. and Khu S-T. (2011). Decision making in flood risk-based storm sewer network design. Water Science and Technology, 64(1), 247- 254.
4. Fu, G., D. Butler, S. Khu, and S. Sun (2011), Imprecise probabilistic evaluation of sewer flooding in urban drainage systems using random set theory, Water Resour. Res., 47, W02534, doi:10.1029/2009WR008944.
5. Qin H., Khu S-T. and Yu X (2010). Spatial variations of storm runoff pollution and their correlation with landuse in a rapidly urbanzing catchment in China. Sc. Total Env, 408(20), 4613-4623. [article link]
6. Sun S., Khu S-T, Kapelan Z. and Djordjevic S. (2010). A fast approach for multiobjective design of water distribution networks under demand uncertainty. J. Hydroinformatics, doi:10.2166/hydro.2010.033. [article link]
7. Fu G. T., Khu S-T. and Butler D. (2010). Optimal distribution and control of storage tank to mitigate the impact of new developments on receiving water quality. ASCE J. Env. Engrg. 136(3), 335-342.
8. Fu G. T., Khu S-T. and Butler D. (2009). Use of surrogate modelling for multiobjective optimisation of urban wastewater systems. Water Sci. Technol., 60(6), 1641-1647. [article link]
9. Doglioni A, Primativo F, Laucelli D, Monno V, Khu S-T and Giustolisi O (2009). An integrated modeling approach for the assessment of land use change effects on wastewater infrastructures. Env. Modelling & Software, 24(12), 1522-1528.
10. Jonkergouw P., Khu S-T., D. Savic. Zhong D., Hou X. Q. and Zhao H. B. (2009). A variable rate coefficient chlorine decay model. Env. Sci. Technol., 43(2), 408-414. [article link]
11. Fu G. T., Khu S-T. and Butler D. (2009). Optimal distribution of storage tank volume to mitigate the impact of new developments on receiving water quality. Sc.Total Env..407 (4),. 1257-1267 [article link]
12. Ostfeld A, J G. Uber, E Salomons ; J W. Berry, W E. Hart, C A. Phillips, J Watson ; G Dorini, P Jonkergouw, Z Kapelan, F di Pierro, Khu S-T ,D Savic ; D Eliades, M Polycarpou ; S R. Ghimire, B D. Barkdoll ; R Gueli ; J J. Huang, E A. McBean, W James; A Krause, J Leskovec, S Isovitsch, J Xu, C Guestrin, J Van Briesen, MSmall, P Fischbeck ; A Preis ; M Propato, O Piller ; G B. Trachtman ; Z Wu, and T Walski (2009). The Battle of the water sensor networks (BWSN): a design challenge for engineers and algorithms. ASCE J. Water Res. Plng & Mgt. 134(6), 556-568.
13. Guo Y., Walters G. A., Khu S-T.and Keedwell E. (2008). Efficient multi-objective storm sewer design using a cellular automata and genetic algorithm hybrid. ASCE J. Water Res. Plng & Mgt. 134(6), 556-568.
14. Khu S-T. , Madsen H and di Pierro F (2008). Incorporating multiple observations for distributed hydrologic model calibration: an approach using a multi-objective evolutionary algorithm and clustering. Adv. in Water Resour.[article link]
15. di Pierro F., Khu S. T.,Savić D. A. and Berardi, L. (2008). Efficient Multi-Objective Optimal Design of Water Distribution Networks on a Budget of Simulations Using Hybrid Algorithms”, Environm. Model. Softw., doi:10.1016/j.envsoft.2008.06.008
16. Fu G. T., Butler D. and Khu S-T. (2008). Multi-objective optimal control of integrated urban wastewater systems. Env. Modelling & Software, 23(2), 225-234. doi:10.1016/j.envsoft.2007.06.003
17. Khu S.-T., Savic D. and Kapelan Z. (2008). Evolutionary-based Meta-modelling – the relevance of using approximate models in hydroinformatics. In Abrahart, R.J., See, L.M. and Solomatine, D. Hydroinformatics in practice: computational intelligence and technological developments in water applications, Springer-Verlag.
18. Jonkergouw P. M. R., Khu S.-T., Z. Kapelan and D. Savic. (2008). Water quality parameter estimation and inverse modelling of flows using residual disinfectant data. ASCE J. Water Res. Plng & Mgt. 134(4), 326-336.
19. Guo Y., Keedwell E., Walters G. A., and Khu S-T. (2007). Hybridizing Cellular Automata principles and NSGAII for multi-objective design of urban water networks. Lect. Notes Comput. Sc. 4403: 546-559.
20. Liu S. M., Butler D., Brazier R., Heathwaite L. and Khu S-T. (2007). Using genetic algorithm to calibrate a diffuse pollution model. Sc.Total Env., 374(2-3), 260-272
21. Guo Y., Walters G. A., Khu S-T.and Keedwell E. (2007). A novel cellular automata based approach to optimal storm sewer design. Engrg. Opt. 39(3),345-364
22. di Pierro F., Khu S. T.and Savic D.A. (2007), An Investigation on Preference Ordering Ranking Scheme in Multiobjective Evolutionary Optimization, IEEE Trans. Evol. Computation, 11(1), 17-45.
23. Khu S-Tand Kapelan Z. (2007). Editorial: special issue on hydroinformatics and water supply. ICE Water Management J., 160(2).
24. Madsen H. and Khu S. T.(2006). On the use of Pareto optimisation for multi-criteria calibration of hydrological models. International Association of Hydrological Sciences Red Book series, 304, 93-99.
25. Khu S-T. , di Pierro F, D. Savic, S. Djordjevic and G. A. Walters(2006). Incorporating spatial and temporal information for urban drainage model calibration: an approach using Preference ordering genetic algorithm. Adv. in Water Resour.29(8). doi: 10.1016/j.advwatres.2005.09.009.[article link]
26. di Pierro F., Khu S. T.and Savic D.A. (2006). From single-objective to multiple-objective multiple-rainfall events automatic calibration of urban storm water runoff models using genetic algorithms. Water Sc. Technol., 54(6-7), 57-64.
27. Keedwell E. and Khu S. T. (2006) “A novel evolutionary metaheuristic for the multi-objective optimisation of real-world water distribution networks” Engrg Opt., 38(3), 1-18.
28. Khu, S. T., and H. Madsen (2005), Multiobjective calibration with Pareto preference ordering: An application to rainfall-runoff model calibration, Water Resour. Res., 41(3), doi:10.1029/2004WR003041
29. Keedwell E. and Khu S. T. (2006) “A novel cellular automata approach to optimal water distribution network design” J. Computing in Civil Engrg., ASCE, 20(1), 49-56.
30. Keedwell E. and Khu S. T. (2005) “Using cellular automata to seed genetic algorithms for water distribution network design problems, Engrg. Applications of Artificial Intelligence, 18(4),461-472.
31. Khu S. T.and Keedwell, E. (2005). Introducing choices (flexibility) in upgrading of water distribution network: The New York City Tunnel Network example. Engrg Opt., 37(3), 291-305.
32. di Pierro, F. Djordjevic, S. Kapelan, Z. Khu, S.T.Savic, D.A. and Walters, G.A. (2005), Automatic calibration of urban drainage model using a novel multi-objective genetic algorithm, Water Sci. Technol., 53(2), 43-52.
33. Liu Y., Khu S. T.and Savic D. (2004). A hybrid optimization method of multi-objective genetic algorithm (MOGA) and K-nearest neighbor (KNN) classifier for hydrological model calibration. Lect. Notes Comput. Sc. 3177: 546-551.
34. Keedwell E. and Khu S. T.(2004). Hybrid genetic algorithms for multi-objective optimisation of water distribution networks. Lect. Notes Comput. Sc., 3103, 1030-1041.
35. Kapelan Z., Babayan A., Savic D., Walters G. and Khu S. T.(2004). Two new approaches for the stochastic least cost design of water distribution systems. Water Sci. Technol. : Water Supply, 4(5-6), 355-363.
36. KhuS. T.and Werner M. (2003). Reduction of Monte Carlo simulation runs for uncertainty estimation in hydrological models, Hydrol. Earth System Sc., 7(5),680-692.
37. Liong, S. Y., Gautam, T. R., Khu, S. T.,Babovic, V., Maarten, K. and Muttil, N. (2002). Genetic programming: A new paradigm in rainfall runoff modelling. J. American Water Resour. Assoc., 38(3), 705-718.
38. Khu, S. T.,Liong, S. Y., Babovic, V., Madsen, H. and Muttil, N. (2001). Genetic programming and its application in real-time flood forecasting. J. American Water Resour. Assoc., 36(2),  439- 452.
39. Liong, S. Y., Khu, S. T.and Chan, W. T. (2001). Derivation of Pareto front with genetic algorithm and neural networks. J. Hydrol. Engrg, ASCE, 6(1), 52-61.

Books edited

• Savic D., Walters G., Khu S.-T. and King R (2005). Proc. 8th International Conference on Computing and Control of the Water Industry: Water Management for the 21st Century. ISBN 0-9539140-2-X
• Savic D. , Walters G., Khu S.-T. and King R (2004) Proc. ACTUI 2004: Decision Support in the Water Industry under Conditions of Uncertainty. ISBN: 09-539140-1-1.

Chapter in Books/ proceedings etc.

• Savic D. and Khu S.-T. (2005). Applications of Evolutionary Computing in Hydrological Sciences. In Anderson, M.G., ed., Encyclopaedia of Hydrological Sciences: J. Wiley.
• di Pierro F, Khu S-T, and Savić D (2008). “Many-Objective Evolutionary Optimisation”, in Juan R. Rabuñal, Julián Dorado and Alejandro Pazos (eds), Encyclopaedia of Artificial Intelligence, Information Science Publisher. ISBN: 978-1-59904-849-9

• Director, Centre for Environmental and Health Engineering (CEHE)
• Lead Academic, Surrey Water: Innovation Research and Learning (SWIRL)
• Committee Member, CCE rep on FEPS International Relations Committee