Vladan BABOVIC



Associate Professor

Postal Address: Department of Civil and
  Environmental Engineering,
  National University of Singapore
  1 Engineering Drive 2, E1A 07-03
  Singapore 117576
Tel: (65) 6516 4929
Fax: (65) 6779 1635
Email: vladan@nus.edu.sg
Office: E1A 05-09


Biography

Dr Vladan Babovic is currently a Associate Professor in the Department of Civil and Environmental Engineering. He obtained his Ph.D. degrees from both UNESCO-IHE and Delft University of Technology, The Netherlands in 1995. In 2001 he has obtained a business degree at IMD in Lausanne (Switzerland). Prior to joining NUS, he was Head of Emerging Technologies at Danish Hydraulic Institute (1995-2002) and Senior Research Scientist at WL | Delft Hydraulics (2003-2005).

 

Positions Held

  • Associate Professor, Department of Civil Engineering (since 2005) and
    Director, NUSDeltares (since 2012)
    Director, Singapore Delft Water Alliance, NUS (2007-2013)
  • Senior Research Scientist
    WL | Delft Hydraulics, Delft, The Netherlands, 2004-2005
  • Partner and Chief Technology Officer
    Tectrasys AG, Wollerau, Switzerland, 2003-2005
  • Head of Emerging Technologies
    DHI Water & Environment, Hørsholm, Denmark, 1995-2003
  • Research Fellow in Hydroinformatics
    International Institute for Infrastructural, Hydraulic and Environmental Engineering, IHE-Delft, Delft, The Netherlands, 1991-1995
  • Research Fellow
    Danish Hydraulic Institute, Hørsholm, Denmark, 1990-1991

Consultancy Projects

  • BMT - Jeppesen Marine Advisory Service
  • BMT Feasibility and Detailed Design of Singapore River Diversion, Mott Mac Donald
  • Proposed River Crossing near proposed MRT Station, ARUP

Qualifications

  • Double Doctor of Philosophy (Ph.D.) degree from Delft University of Technology, Delft, The Netherlands and International Institute for Infrastructural, Hydraulic and Environmental Engineering, UNESCO-IHE, Delft, The Netherlands
    Thesis: Hydroinformatics: Emergence, Evolution, Intelligence, 1991-1996
  • Programme for Executive Development
    International Institute for Management Development (IMD), Lausanne, Switzerland, 2001-2002
  • Master of Science (M.Sc., cum laude) in Hydroinformatics International Institute for Infrastructural, Hydraulic and Environmental Engineering, IHE-Delft, Delft, The Netherlands, 1990-1991
  • Diploma of Hydraulic Engineering (DipHE, cum laude) in Computational Hydraulics, International Institute for Infrastructural, Hydraulic and Environmental Engineering, IHE-Delft, Delft, The Netherlands, 1989-1990
  • Bachelor of Science in Civil Engineering (Dipl. Ing, cum laude) Major in Hydraulic Engineering, University of Sarajevo, Sarajevo, (former) Yugoslavia, 1981-1986

Honours & Awards

  • 2012 — Fellow, International Water Association
  • 1999 — Arthur Thomas Ippen Award of the International Association for Hydraulic Research
  • 1998 — Talent Award of Danish Academy of Technical Sciences
  • 1997 — The Best Paper Award, Danish Hydraulics, 2nd International Software Conference
  • 1986 — Jaroslav Cerni Award as the best Civil Engineering graduate at the Faculty

Professional Activities

  • Member of National Panel of Experts, Coastal Climate Adaptation Study (Singapore)
  • Member of Board of Directors and Chairman Water Committee, Dutch Chamber of Commerce, Singapore
  • Adjunct Professor, Centre for EcoHydraulics Research, University of Idaho1
  • Adjunct Professor, IIHR-Hydroscience and Engineering, University of Iowa
  • Visiting Lecturer, Hydroinformatics Programme, UNESCO-IHE, Delft, The Netherlands
  • Member of Council of Authors of the International Society for Genetic and Evolutionary Computation (ISGEC)
  • Standing Member of Core Programme Policy Committee for Genetic Programming of the International Society for Genetic and Evolutionary Computation (ISGEC)

Editorial Boards

  • International Association for Hydraulic Research (IAHR)
  • American Society of Civil Engineers (ASCE)
  • American Association for Artificial Intelligence (AAAI)
  • Institute of Electrical and Electronics Engineers (IEEE)
  • International Society for Genetic and Evolutionary Computation (ISGEC)

Teaching Areas

  • Hydroinformatics
  • Water Resources Management
  • Systems Architecting
  • Real Options

Research Interests

  • artificial intelligence
  • machine learning
  • data mining and knowledge discovery
  • data-driven modelling
  • data assimilation
  • computational hydraulics
  • hydroinformatics

Selected Publications

  1. Meshgi, A., P. Schmitter, V. Babovic, and T. F. M. Chui (2014), An empirical method for approximating stream baseflow time series using groundwater table fluctuations, Journal of Hydrology, 519, Part A, 1031-1041.
  2. Wang, X., & Babovic, V. (2014). Enhancing water level prediction through model residual correction based on Chaos theory and Kriging. International Journal for Numerical Methods in Fluids, 75(1), 42-62.
  3. Kurniawan, A., Ooi, S. K., & Babovic, V. (2014). Improved sea level anomaly prediction through combination of data relationship analysis and genetic programming in Singapore Regional Waters. Computers & Geosciences, 72, 94-104. doi: 10.1016/j.cageo.2014.07.007
  4. Karri, R. R., Badwe, A., Wang, X., El Serafy, G., Sumihar, J., Babovic, V., & Gerritsen, H. (2013). Application of data assimilation for improving forecast of water levels and residual currents in Singapore regional waters. Ocean Dynamics, 63(1), 43-61. doi: 10.1007/s10236-012-0584-y
  5. Deng Y, Cardin M.-A., Babovic V., Santhanakrishnan, D., Schmitter, P., Meshgi, A. (2013). Valuing flexibilities in the design of urban water management systems. Water research, 47(20), 13.
  6. Chan, L. G., & Babovic, V. (2013). Real options and CO 2 reduction policies for climate change. International Journal of System of Systems Engineering, 4(2), 140-161.
  7. Basnayake, L. A., & Babovic, V. (2013). Rainfall-runoff modelling with data driven techniques: constraints and proper implementation. In A. Chavoshian & K. Takeuchi (Eds.), Floods: from Risk to Opportunity (pp. 273-282).
  8. Zhang, S. X., & Babovic, V. (2012). A real options approach to the design and architecture of water supply systems using innovative water technologies under uncertainty. Journal of Hydroinformatics, 14(1), 13-29. doi: 10.2166/hydro.2011.078
  9. Sun, Y., Babovic, V., & Chan, E. S. (2012). Artificial neural networks as routine for error correction with an application in Singapore regional model. Ocean Dynamics, 62(5), 661-669. doi: 10.1007/s10236-012-0524-x
  10. Clarke, S. R., Markovic, E., Nguyen, K., Babovic, V., Swarup, S., Wijdeveld, A., Hyde, K. (2012). Sol-gel materials for WSUD water treatment applications. Papers of American Chemical Society, 243.
  11. Zhang, S. X., & Babovic, V. (2011). An evolutionary real options framework for the design and management of projects and systems with complex real options and exercising conditions. Decision Support Systems, 51(1), 119-129. doi: 10.1016/j.dss.2010.12.001
  12. 2011, A real options approach to design and architech water supply systems using alternative water resources under uncertainty, Journal of Hydroinformatics, Vol. 14, Issue 1 (with S Zhang)
  13. 2011, An evolutionary real options framework for design and management large-scale projects and systems with multiple real options, Decision Support System, Vol. 51 (with S Zhang)
  14. 2010, Architecting a maritime domain protection system:, Journal of Hydraulic Engineering-ASCE (with Buurman J and Z Xu)
  15. 2010, Multi-step-ahead model error prediction using time-delay neural networks combined with chaos theory, Journal of Hydrology, Vol. 395, Issue 2010, pp. 109-116 (with Sun Y and E S Chan)
  16. 2009, Reducing risk through real options in system design: The case of architecting a maritime domain protection system, Risk Analysis, Vol 29, Issue 3, pp 366-379
  17. 2009, Introducing knowledge into learning based on genetic programming, Journal of Hydroinformatics, Vol. 11, Issue 3-4, pp 181-193
  18. 2009, Applying local model approach for tidal prediction in a deterministic model, International Journal for Numerical Method in Fluids, Vol. 60, Issue 6, pp 651-667 (with Sun Y, Piyamarn Sisomphon and ES Chan)
  19. 2009, Reducing risk through real options in systems design: The case of architecting a maritime domain protection system, Risk Analysis, Vol. 29, Issue 3, pp 366-379 (with Buurman, JJ G and X Zhang)
  20. 2009, Efficient data assimilation method based on chaos theory and kalman filter with an application in Singapore regional model, Journal of Hydro-environment research, Vol. 3, Issue 2, pp 85-95 (with Sun Y, Piyamarn Sisomphon and ES Chan)
  21. 2007, On inducing equations for vegetation resistance, Journal of Hydraulic Research, Vol. 44, Issue 5, (with J Rodrigues, M Baptist, M Keijzer, R Uittenbogaard, A Verwey and A Mynett)
  22. 2000, Genetic programming as a model induction engine, Journal of Hydroinformatics, Vol. 2, No. 1, pp. 35-60 (with Keijzer, M.)
  23. 2001, Neural networks as a routine for error correction of numerical models, ASCE Journal of Hydraulic Engineering, Vol. 127, No. 3, pp. 181-193 (with Jensen, H.R., Klinting, A.K. and Canizares, R.T.)
  24. 1997, The evolution of equation from hydraulic data, Part I: Theory, Journal of Hydraulic Research, Vol. 35, No. 3, pp. 397 – 410 (with M.B. Abbott)
  25. 2001, Genetic programming and its application in real-time runoff forcasting, Journal of the American Water Resources Association, Vol. 37, Issue 2, pp. 439-451 (with Soon Thiam Khu, Shie-Yui Liong, Nitin Muttil and Henrik Madsen)
  26. 2004, EC-SVM approach for real-time hydrologic forecasting, Journal of Hydroinformatics, Vol. 6, pp. 209-223 (with Xinying Yu, and Shie-Yui Liong)
  27. 1999, Dimensionally Aware Genetic Programming, Proceedings of the Genetic and Evolutionary Computation Conference, Vol. 2, (with M. Keijzer)
  28. 1996, Emergence, Evolution, Intelligence: Hydroinformatics, Balkema Publishers, Book
  29. 2002, A data mining approach to modelling of water supply assets, Urban Water, Vol. 4, Issue 4, pp 401-414 (with Jean-Philippe Drecourt, M. Keijzer and Peter Friss Hansen)

Last Updated on 8 September 2014 by Department of Civil and Environmental Enginering