Crop Physiology and Modelling

My expertise is at the intersection of data science with crop physiology, cropping systems and water resources management. I specialise in mathematical modelling and computer simulation of agrohydrological and biological systems, including modelling of crop-climate interactions to identify targets for crop improvement and environment characterization (drought, heat and frost) in a changing climate. I conduct model-aided impact and adaptation studies and systematically investigate ecophysiological and agrohydrological processes to understand the implications of genetic variability, climate change/variability, weather extremes, land use change, and management scenarios for crop production, water resources, economies and societies at various spatial-temporal scales.

Irrigation Systems Design and Optimisation

I acted as an agricultural engineer and project coordinator in rural water infrastructure projects in Iran for more than 12 years. A licenced irrigation system designer, I participated in multiple projects and gained enormous experience along with deep understanding of the complex nature of irrigation and drainage systems at paddock level and their impact on water balance components at catchment and sub-catchment levels. Through close collaboration with farmers and extension officers, I learned how such systems can affect the livelihood of farmers and at the same time bring about complicated environmental and societal issues if designed and operated improperly.

Data Science

With extensive experience with R, Python and SQL and passion for emerging technologies such as serverless computing, I am interested in adopting machine learning and deep learning techniques to decipher complex datasets. My skills in data analysis, analytics and visualisation with tools such as MS Power BI, MS Excel and Tableau along with proficiency at programming in multiple languages enable me to efficiently work with data, provide insights and drive informed decision-making. I have benefitted from these skills for collecting, storing, cleansing, analysing and visualising data for scientific publications and presenting my work at engineering and scientific meetings, workshops and conferences.

Current Projects

INCENTIV8: A rapid assessment tool for comparing changes in irrigation and farming practices

Onfarm trials typically run for a season or two and will likely yield quite different results if they were run for a longer time period, on a different soil or under different climate. What if we could simulate virtual trials that would growers to understand how the results of a trial vary with season, location and farm management? INCENTIV8 will help sugarcane growers do this and derisk their decision making when modifying or switching irrigation practices. INCENTIV8 can also support ecomarkets and sustainable finance structures by estimating benefits to the environment through changed practice. 

Technical Skills

  • Simulation Models: (***) APSIM, APSIM-NextGen, AquaCrop, SiriusQuality, DSSAT, CropWat, WOFOST, SWAP, SWAT, HEC-RAS; (**) HEC-HMS, WaterGEMS, SWMM, WEAP; (*) REALM, DRAINS, SIRIUS.
  • Programming: (***) R, Python, MS SQL Server; (**) MySQL, PostgreSQL, SQLite, Spark, Keras (in R and Python), MATLAB, LINGO, C#, WordPress; (*) VB.Net, C++, FORTRAN, TensorFlow (in Python).
  • Database Management: (***) MS SQL Server Management Studio, Azure Data Studio; (**) MySQL Workbench, pgAdmin.
  • BI and Data Analytics: (***) Excel (Power Query, Pivot Table/Chart), Power BI; (**) Tableau, SSRS, SPSS; (*) KNIME.
  • Cloud Computing: (**) Azure (Storage, Data Factory, Machine Learning, SQL), Databricks; (*) AWS (EC2, S3, KNIME).
  • Version Control: (***) SourceTree, GitHub Desktop; (**) Subversion; (*) Git Bash.
  • GIS: (***) ArcGIS; (**) MapWindow, QGIS.
  • Office: (***) Excel, Word, PowerPoint, Visio; (**) Access.
  • Biophysical/crop modelling, agro-hydrological modelling, crop physiology, agro-meteorology, hydrology.
  • Climate change/variability, precision and climate-smart agriculture, sustainable farming.
  • Data analysis, machine learning, deep learning, business intelligence, programming.
  • Integrated water resources management, water resources planning, land use management, virtual water.
  • arm (irrigation and drainage) system design and management, hydraulic modelling, water delivery systems.
  • Geographical Information System and Remote Sensing (GIS and RS).
  • 2021 to present - Agroecological Modeller, James Cook University (Townsville, QLD)
  • 2017 to 2021 - Research Fellow in Crop Modelling, Crop Physiology and Data Science, University of Queensland (Toowoomba, QLD)
  • 2017 - Co-Founder and Former CEO, Fannavaran Keyhan Danesh Novin Co. (Iran)
  • 2016 to 2017 - Senior Agricultural Engineer, Data Scientist and Project Coordinator, Jarfab Payesh Consulting Engineers Co. (Iran)
  • 2015 to 2016 - Research Associate, Limagrain Europe / INRA-SupAgro (Montpellier, France)
  • 2006 to 2015 - Agricultural Engineer and Data Analyst, Senior Member of Water Engineering Section, Jarfab Payesh Consulting Engineers Co. (Iran)
  • 2012 to 2013 - Agricultural Engineer and Data Analyst, Saj Geo-information Consulting Firm (Iran)
  • 2010 to 2012 - Agricultural Engineer, River Engineering and Flood Control Expert, Lozan Civil Development Engineering Co. (Iran)
  • 2008 to 2012 - PhD Research Assistant, University of Tehran (Iran)

These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.

Journal Articles

The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.

  • 5+ collaborations
  • 4 collaborations
  • 3 collaborations
  • 2 collaborations
  • 1 collaboration
  • Indicates the Tropics (Torrid Zone)

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