Morteza Mesbah

Image Morteza Mesbah
Research Scientist

Data scientist and agro-ecosystem modeler

Current research and/or projects

  • Using Living Laboratory approach to develop and transfer innovative soil and water quality BMPs in Prince Edward Island
  • Towards tracking the resilience and sustainability of crop growth from space by assimilating Earth observation data in crop growth models
  • Developing an integrated system for monitoring the vegetation water balance & crop growth using Earth observation & agroecosystem models
  • Improving crop production resiliency using innovative BMPs
  • Towards field scale evaluation & modelling of commercial inhibitors’ impact on crop productivity & emissions of nitrous oxide following urea application in rainfed field crops

Research and/or project statements

Dr. Mesbah conducts interdisciplinary research on application of data-science to better understand agro-ecosystems and promote science-based decision making and policy design. He uses agro-ecosystem models, environmental models, and mathematical and economic instruments and develops tools to evaluate the economic and environmental performance of various policies and beneficial management practices. His experience include developing trading discharge permit tools for river quality management, cap-and-trade system for air quality management, N recommendation for management of N fertilizer, and using Earth observation data for enhancing yield prediction.

Professional activities / interests

  • Interdisciplinary research (environmental engineering, soil & crop science, computer science, remote sensing, mathematics, public policy, etc.)
  • Development of decision support tools for science-based decision making
  • Agro-ecosystem (soil-crop, watershed, and atmospheric) modeling
  • Optimization techniques, advanced sensitivity and uncertainty analyses, and data assimilation

Education and awards

Education

  • B.Sc. Civil Enginereeing, K. N. T. University of Technology, Tehran, Iran, 2005
  • M.Sc. Environmental Engineering, University of Tehran, Tehran, Iran, 2008
  • Ph.D. Environmental Engineering, Carleton University, Ottawa, Canada, 2014

Awards

  • Invention disclosure (Identifying NEMO) approved by AAFC Office of Intellectual Property (2016)
  • NSERC-Visiting Fellowships in Canadian Government Laboratories (2014-2016)
  • Nominated for senate medal for a PhD thesis with exceptional multidisciplinary research (2014)
  • Queen Elizabeth II Graduate Scholarships in Science and Technology (2012-2013)
  • Dr. Thomas Betz Memorial Award, Carleton University (2010)
  • Departmental Scholarships for Outstanding Students, Carleton University (2008-2012)
  • Dean of Graduate Studies Scholarship, Carleton University (2008-2012)
  • Author of the best journal paper in water engineering, the second Iran’s Water Festival (2009)

Key publications

  1. Mesbah, M., Pattey, E., Jégo, G., 2018. An improved precipitation indicator for corn yield prediction: proof of concept using STICS model in eastern Canada. American Geophysical Union annual meeting, Washington (DC), 10-14 December 2018. (Poster)

    2018 - View publication details

  2. Pattey, E., Mesbah, M., Jégo, 2018. Identifying NEMO: a model-based methodology to identify strategic N application rates for rainfed crop. Proceedings of 20th Nitrogen Workshop, Rennes (France), 25-27 June 2018.

    2018 - View publication details

  3. Mesbah, M., Pattey, E., Jégo, G., Geng, X., Didier, A., Tremblay, N., (2017) " Including climate variability in determination of the optimum rate of N fertilizer application using a crop model: A case study for rainfed corn in eastern Canada." American Geophysical Union Fall meeting, New Orleans, USA, December 11-15, 2017.

    2017 - View publication details

  4. Mesbah, M., Pattey, E., Jgo, G., Liu, J., Buis, S., Lecharpentier, P., (2017). "A stochastic Bayesian approach to assimilate satellite derived LAI into STICS crop model", STICS workshop 2017, Rochelle, France, October 17-19, 2017, pp. 2 pages.

    2017 - View publication details

  5. "From fields to regions: Improving crop model predictions, using remote sensing-derived biophysical descriptors and climate data." Pattey, E.,Jégo, G. ,A. Vanderzaag, J. Liu, B. Qian, X. Geng; Res. Team: S. Admiral, M. Mesbah, D. Dow, T. HotteF. Baret, M. Weiss, R. Lacaze, F. Camacho, N. Beaudoin, R. Desjardins, T. Huffman, H. McNairn 2016. 2016 Canadian JECAM Site Update: CFIA-Ottawa. JECAM Science Meeting Kyiv, 11-12 Oct 2016 (poster).

    2016 - View publication details

  6. Pattey, E., Desjardins, R.L., Murphy, J., MacDonald, D., Mesbah, M., 2016. N fluxes from the agricultural sector.WMO- GLOBAL ATMOSPHERE WATCH INTERNATIONAL WORKSHOP ON NITROGEN CYCLE York 13-14 Apr 2016. Invited Talk

    2016 - View publication details

  7. Pattey, E., Mesbah, M., Jégo, G., (2017). "A model-based methodology to derive optimum nitrogen rates for rainfed crops.", STICS workshop 2017, Rochelle, France, October 17-19, 2017, pp. 2 pages.

    0217 - View publication details