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Dr Durga Lal Shrestha

/DOOR-gah laa-l shres-ta/

Senior Research Scientist

https://people.csiro.au/s/d/durgalal-shrestha

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Contact details:

PRIVATE BAG 10
CLAYTON SOUTH VIC 3169 AUSTRALIA

Biography

Dr Durga Lal Shrestha is Senior Research Scientist in Land and Water division of CSIRO (The Commonwealth Scientific and Industrial Research Organisation), Australia. He is researching methods to improve streamflow forecasting through improved hydrological modelling and making best use of available observations and forecasts. He is currently helping to develop science and technology to underpin Australia’s next generation of services in flood and river flow forecasting.

Dr Shrestha has more than 15 years international research experience in hydrological modelling using process based and machine learning techniques. Before joining to CSRIO in 2010, he worked as a post-doctorate researcher in UNSESCO-IHE Institute for Water Education, Delft, Netherlands for 13 months. He received his MSc degree in Hydroinformatics from UNESCO-IHE Institute for Water Education, Delft, Netherlands in 2002. He was awarded PhD degree in Hydroinformatics jointly from UNESCO-IHE Institute for Water Education and Technical University of Delft, Netherlands in 2009. During his PhD study, he has developed methods to quantify and predict hydrological modelling uncertainty using machine learning techniques. He has published more than a dozen peer reviewed papers in international journals, one book, more than 3 dozen conference papers and a half dozen technical reports.

Other Interests

Hydrological modelling, forecasting
Risk and uncertainty analysis of hydrological models
Machine learning, data driven modelling
Application of artificial neural networks, support vector machines to rainfall-runoff modelling Instance based leaning and its application
Model trees
Fuzzy logic, etc.
Bayesian networks and its application in hydrological models
Chaos and non-linear dynamics
Global and random search optimisations
Multi objectives optimisations
Committee machines and boosting techniques for improvement of performance of hydrological models
Hidden Markov mixture of models
Numerical Weather Prediction Calibration

Current Roles

  • Activity Leader
    WIRADA 4.3 - Flood and short-term streamflow forecasting

  • Team member
    Water Forecasting

Academic Qualifications

  • 2009

    PhD
    UNESCO-IHE Institute for Water Education, Delft, Netherlands

  • 2009

    PhD
    TU Delft

  • 2002

    Master of Science in Hydroinformatics (Distinction)
    UNESCO-IHE Institute for Water Education, Netherland

  • 1996

    Bachelor of Engineering (Distinction)
    TU Nepal

Professional Experiences

  • 2015-Ongoing

    Senior Research Scientist
    CSIRO Land and Water

  • 2010-2015

    Research Scientist
    CSIRO Land and Water

  • 2009-2010

    Postdoc Researcher
    UNESCO-IHE Institute for Water Education, Netherlands

  • May 2002-February 2004

    Research Fellow
    UNESCO-IHE Institute for Water Education, Netherlands

  • November 1996-October 2000

    Hydrologist Engineer
    Department of Hydrology and Meteorology, Nepal

  • April 1996-November 1996

    Civil Engineer
    Deta Consulant, Nepal

  • April 1991-May 1992

    Junior Engineer
    Council for Technical Education and Vocational Training (CTEVT), Nepal

Achievements and Awards

  • 2016

    CSIRO Medal for Impact from Science
    CSIRO

  • 2014-2014

    GN Alexander Medal
    Engineers Australia

  • 2004-2009

    PhD Scholarship
    UNESCO-IHE Institute for Water Education

  • 2000-2002

    MSc Scholarship
    UNESCO-IHE Institute for Water Education, Netherlands

Other highlights

  • 2012-2013

    Activity leader: WIRADA 4.1 - Water Forecasting and Prediction – Flood and Short Term

Community and Corporate Citizenship

  • 2013-2013

    Co-Convener and Chaired a session in Asia Oceania Geo-sciences Society (AOGS)