Selvadurai Dayanandan, PhD
Professor of Biology
Dr. Nazemi joined the department in August 2015 as a Strategic Hire in the area of Water Resources. Prior to this, he worked shortly as a Senior Hydrologist for the Saskatchewan Water Security Agency and provided science support to the provincial government on regional water resource management and operation. He is a postdoctoral veteran and an Associate Member of the Global Institute for Water Security and holds an Adjunct Professor position with the School of Environment and Sustainability at the University of Saskatchewan.
Dr. Nazemi's broad research goes under developing new methodologies and modeling tools and for addressing water security challenges, particularly under climate and anthropogenic changes. He is committed to communicating research findings with public and providing high-quality training to the next generation of water security experts in Canada and elsewhere.
- PhD. (2009), The University of Birmingham, Birmingham, UK.
- MSc. (2003), Ferdowsi University of Mashhad, Mashhad, Iran.
- BSc. (2000), KNT University of Technology, Tehran, Iran.
Honors and Awards
- 2005 - 2009: Holder of the prestigious Dorothy Hodgkin Postgraduate Award (DHPA) from the UK government.
- 2004 - 2007: Holder of the Post Graduate Teaching Award (PGTA) from The University of Birmingham.
- 2006: Best Presentation Award, Evolutionary Multi-objective Optimization Session, IEEE 7th World Congress on Computational Intelligence, Vancouver, Canada.
- ENGR-233: Applied Advanced Calculus (Winter 2015)
- Developing improved algorithms for hydrological and land-surface models
- Vulnerability assessment of water resource systems to changing conditions
- Diagnosing signals of variability and change in hydroclimatic data
- Downscaling hydroclimatic variables in time and space
- Calibration and validation of environmental models
- Statistical and stochastic methods in water resources research
- Applications of soft computing techniques in environmental modeling
- Downscaling and disaggregation of climate models outputs across Canadian regions (MASc project led by Mr. Pablo Jaramillio).
- Building improved tools for assessing the vulnerability of water resource system to changing conditions (PhD student starts in May 2016).
- Modeling coupled human-water systems in cold climates (MASc student starts in May 2016)
- Large-scale hydrological changes and associated natural and anthropogenic risks under global change scenarios (PhD student has been chosen - position is currently closed).
Hassanzadeh,E., A. Elshorbagy, H. S. Wheater, P. Gober and A. Nazemi (2015), Integratingsupply uncertainties from stochastic modeling into integrated water resourcemanagement: a case study of the Saskatchewan River Basin, ASCE Journal of Water Resources Planning and Management, doi: 10.1061/(ASCE)WR.1943-5452.0000581, inpress.
Ireson,A.M, A. Barr, G. van der Kamp, J. Johnstone, S. Mamet, C. Whitfield, N. Michel,R. North, C. Westbrook, C. Debeer, K. P. Chun, A. Nazemi and J. Sagin (2015),The Changing Water Cycle: the Boreal Plains Ecozone of Western Canada; WIREs Water, 2(5), 505-521, doi:10.1002/wat2.1098.
Mekonnen,B., A. Nazemi, K. Mazurek, A. Elshorbagy and G. Putz (2015), Hybrid modelingapproach to prairie hydrology: Fusing data-driven and process-basedhydrological models, HydrologicalSciences Journal, 60(9), 1473-1489, doi: 10.1080/02626667.2014.935778.
Nazemi, A. and H. S. Wheater(2015), On inclusion of water resource management in Earth system models – Part2: Representation of water supply and allocation and opportunities for improvedmodeling, Hydrology and Earth System Sciences, 19, 63-90, doi: 10.5194/hess-19-63-2015.
Nazemi, A. and H. S. Wheater(2015), On inclusion of water resource management in Earth system models – Part1: Problem definition and representation of water demand, Hydrology andEarth System Sciences, 19, 33-61, doi: 10.5194/hess-19-33-2015.
AghaKouchak,A., H.-R. Norouzi, K. Madani, A. Mirchi, M. Azarderakhsh, A. Nazemi, N.Nasrollahi, A.-R. Farahmand, A. Mehran and E. Hassanzadeh (2014), Aral Seasyndrome desiccates Lake Urmia: Call for action, Journal of Great LakesResearch, 41(1), 307-311,doi: 10.1016/j.jglr.2014.12.007.
Nazemi, A.,Md. S. Alam and A. Elshorbagy (2014), Uncertainties in future projections ofextreme rainfall: The role of climate model, emission scenario and randomness, In Proceedings of the 11th InternationalConference on Hydroinformatics,New York, USA, August 17-21, HIC2014-132, available at: http://academicworks.cuny.edu/cc_conf_hic/145/
Nazemi, A.and H. S. Wheater (2014), Assessing the vulnerability of water supply to changing streamflow conditions, Eos Transactions of American Geophysical Union, 95(32), 288, doi:10.1002/2014EOS320007
Nazemi, A.and H. S. Wheater (2014), How can the uncertainty in the natural inflow regime propagate into the assessment of water resource systems? Advances in Water Resources, 63, 131-142, doi:10.1016/j.advwatres.2013.11.009.
Hassanzadeh,E., A. Nazemi and A. Elshorbagy (2014), Quantile-based downscaling of precipitation using genetic programming: Application to IDF curves in Saskatoon, ASCE Journal of Hydrological Engineering, 19(5),943–955, doi: 10.1061/(ASCE)HE.1943-5584.0000854.
Chun, K.P., H. S., Wheater, A. Nazemi and M. N. Khaliq (2013), Precipitationdownscaling in Canadian Prairie Provinces using the LARS-WG and GLM approaches,Canadian Water Resources Journal,38(4), 311-332, doi: 10.1080/07011784.2013.830368.
Nazemi, A.,H. S. Wheater, K. P. Chun, and A. Elshorbagy (2013), A stochasticreconstruction framework for analysis of water resource system vulnerability toclimate-induced changes in river flow regime, Water Resources Research, 49, doi:10.1029/2012WR012755.
2012 and before
Nazemi, A.and A. Elshorbagy (2012), Application of copula modeling to the performanceassessment of reconstructed watersheds, StochasticEnvironmental Research and Risk Assessment, 26(2), 189-205, doi:10.1007/s0047-011-0467-7.
Nazemi, A.,A. Elshorbagy, and S. Pingale (2011), Uncertainties in the estimation of futureannual extreme daily rainfall for the city of Saskatoon under climate changeeffects, 20th Canadian Hydrotechnical Conference, Ottawa, Canada, June 14-17,No. HY-039 (CD Rom).
Bormann,H., H. M. Holländer, T. Blume, W. Buytaert, G.B. Chirico, J.-F. Exbrayat, D.Gustafsson,H. Hölzel, P. Kraft, T. Krauße, A. Nazemi, C. Stamm, S. Stoll, G.Blöschl and H. Flühler (2011), Comparative discharge prediction from a smallartificial catchment without model calibration: Representation of initialhydrological catchment development, DieBodenkultur, 62(1-4), 23-29.
Pryke, A.,S., Mostaghim and A. Nazemi (2007), Heatmap visualization of population basedmulti objective algorithms. In LectureNotes in Computer Science: Evolutionary multi-criterion optimization,Volume 4403/2007, pp. 361-375, Springer Berlin Heidelberg, doi:10.1007/978-3-540-70928-2_29.
Nazemi, A., S. M.Hosseini and M. R. Akbarzadeh-T (2006), Soft computing-based nonlinear fusionalgorithms for describing non-Darcy flow in porous media, Journal of Hydraulic Research, 44(2), 269-282, doi:10.1080/00221686.2006.9521681.
Nazemi, A.,X. Yao and A. H. Chan (2006), Extracting a set of robust Pareto-optimalparameters for hydrologic models using NSGA-II and SCEM, In Proceedings of IEEE Congress onComputational Intelligence, pp. 1901-1908, IEEE, doi: 10.1109/CEC.2006.1688539.
Nazemi, A.,M. R. Akbarzadeh-T and S. M. Hosseini (2004), An intuitive view to compareintelligent systems, In Proceedings ofIEEE Annual Meeting of Fuzzy Information, Vol. 2, pp. 566-571, IEEE, doi:10.1109/NAFIPS.2004.1337363.
Nazemi, A.,M. R. Akbarzadeh-T and S. M. Hosseini (2003), Fuzzy systems as a fusionframework for describing nonlinear flow in porous media. In Proceedings of IEEE Annual Meeting of FuzzyInformation, pp. 389-394, IEEE doi:10.1109/NAFIPS.2003.1226816.
Nazemi, A., M. R.Akbarzadeh-T and S. M. Hosseini (2002), Fuzzy-stochastic linear programming inwater resources engineering, In Proceedingsof IEEE Annual Meeting of Fuzzy Information, pp. 227-232, IEEE, doi:10.1109/NAFIPS.2002.1018060.