Dr. Vincent Cheng
chengv@geog.utoronto.ca
Qualifications:
University of Toronto (BSc, MEnvSc, PhD)
Research Interests:
Tornado occurrence, weather and climate, water resources research, risk assessment, Bayesian inference, spatial data analysis and modeling, geographic information systems, remote sensing, environmental management.
Select Publications:
Cheng V., G.B. Arhonditsis, D. Sills, W. Gough, H. Auld, 2016. Predicting the climatology of tornado occurrences in North America with a Bayesian hierarchical modelling framework. Journal of Climate 29: 1899-1917.
Jien, J.Y., W.A. Gough, K. Butler, V. Cheng, G.B. Arhonditsis, 2016. Near-time Sea Surface Temperature and Tropical Cyclone Intensity in the Eastern North Pacific basin. In J. Collins and K. Walsh (Eds): Hurricanes and Climate Change, Volume 3. Springer.
Cheng, V., G.B. Arhonditsis, D. Sills, W. Gough, H. Auld 2015. A Bayesian modelling framework for tornado occurrences in North America. Nature Communications 6: Article Number 6599.
Cheng, V., G.B. Arhonditsis, D. Sills, H. Auld, M. Shephard, W. Gough, and J. Klaassen 2013. Probability Of Tornado Occurrence Across Canada. Journal of Climate 26: 9415-9428.
Cheng, V., G.B. Arhonditsis, and M.T. Brett 2010. A revaluation of the lake-phosphorus loading models using a Bayesian hierarchical framework. Ecological Research 25: 59-76.
Dr. Feifei Dong
dongff1@gmail.com
Qualifications:
Peking University (PhD)
Jilin University (BSc)
Research Interests:
Watershed modelling and management, simulation-optimization modelling, uncertainty analysis, machine learning algorithms
Select Publications:
Dong F., Y. Liu, H. Su, Z. Liang, R. Zou, H. Guo. 2016. Uncertainty-based Multi-objective Decision Making with Hierarchical Reliability Analysis under Water Resources and Environmental Constraints. Water Resource Management, 30:805-822.
Dong F., Y. Liu, H. Su, R. Zou, H. Guo. 2015. Reliability-oriented multi-objective optimal decision making approach for uncertainty based watershed load reduction. The Science of the Total Environment, 515-516:39–48.
Dong F., Y. Liu, L. Qian, H. Sheng, Y. Yang, H. Guo, L. Zhao. 2014. Interactive decision procedure for watershed nutrient load reduction: An integrated chance-constrained programming model with risk–cost tradeoff. Environmental Modelling & Software, 61: 166-173.
Dr. Jiacong Huang
jchuang@niglas.ac.cn
Qualifications:
Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences (MSc, PhD, Post-Doctoral)
Fujian Normal University (BSc)Personal Website: http://www.escience.cn/people/elake/index.html
Research Interests:
Hydrodynamic and water quality modelling for aquatic ecosystems, model coupling for lake and watershed models, software development for environmental models
Select Publications:
Huang, J., J. Gao, R. Yan. 2016. A Phosphorus Dynamic model for lowland Polder systems (PDP). Ecological Engineering. 88, 242-255.
Huang, J., J. Gao, R. Yan. 2016. How can we reduce phosphorus export from lowland polders? Implications from a sensitivity analysis of a coupled model. Science of the Total Environment. 562: 946-952.
Huang, J., R. Yan, J. Gao, Z. Zhang, L. Qi. 2016. Modeling the impacts of water transfer on water transport pattern in Lake Chao, China. Ecological Engineering. 95: 271-279.
Huang, J., J. Gao, Y. Xu, J. Liu. 2015. Towards better environmental software for spatio-temporal ecological models: Lessons from developing an intelligent system supporting phytoplankton prediction in lakes. Ecological Informatics. 25, 49-56.
Huang, J., J. Gao, J. Liu, Y, Zhang. 2013. State and parameter update of a hydrodynamic-phytoplankton model using ensemble Kalman filter. Ecological Modelling. 263: 81-91.
Dr. Noreen Kelly
noreen.kelly@utoronto.ca
noreenekelly.wordpress.com
Qualifications:
York University (Faculty of Environmental Studies; Post-Doctoral)
York University (Department of Biology; Post-Doctoral)
Centre for Marine Biodiversity (Post-Doctoral)
Dalhousie University (PhD)
University of Guelph (BSc)
Research Interests:
Oceanography, limnology, aquatic ecology, invertebrate biology, invasion biologySelect Publications:
Kelly, N.E., Young, J.D., Winter, J.G., Yan, N.D. 2013. Dynamics of the invasive spiny water flea, Bythotrephes longimanus, in Lake Simcoe, Ontario, Canada. Inland Waters 3: 75-92.
Kelly, N.E., Wantola, K., Weisz, E., Yan, N.D. 2013. Recreational boats as vectors of secondary spread for aquatic invasive species and native crustacean zooplankton. Biological Invasions 15(3): 509-519.
Kelly, N.E., Yan, N.D., Walseng, B., Hessen, D.O. 2013. Differential short and long-term effects of an invertebrate predator on zooplankton communities in invaded and native lakes. Diversity and Distributions 19(4): 396-410.
Kelly, N.E., Shea, E., Metaxas, A., Haedrich, R. Auster, P. 2010. Biodiversity of the deep-sea continental margin bordering the Gulf of Maine (NW Atlantic): Relationships among sub-regions and to shelf systems. PLoS ONE 5(11): e13832. doi:10.1371/journal.pone.0013832
Kelly, N.E., and Metaxas, A. 2010. Understanding population dynamics of a numerically dominant species at hydrothermal vents: a matrix modelling approach. Marine Ecology Progress Series 403: 113-128
Dr. Dong-Kyun Kim
dkkim1004@gmail.com
Qualifications:
Seoul National University (Post-Doctoral)
Pusan National University (BSc, MSc, PhD)
Research Interests:
Prediction of water quality and plankton population dynamics, machine learning modeling such as artificial neural networks and evolutionary computations, integrated model dealing with both watershed nutrient loads and aquatic ecosystem dynamics, water resources management (e.g., water quality improvement through biomanipulation, assessment of ecological health)
Select Publications:
Kim, D.-K., H. Cao, K.-S. Jeong, F. Recknagel, G.-J. Joo, 2007. Predictive function and rules for population dynamics of Microcystis aeruginosa in the regulated Nakdong River (South Korea), discovered by evolutionary algorithms. Ecological Modelling 203: 147-156.
Jeong, K.-S., D.-K. Kim, G.-J. Joo 2007. Delayed influence of dam storage and discharge on the determination of seasonal proliferations of Microcystis aeruginosa and Stephanodiscus hantzschii in a regulated river system of the lower Nakdong River (South Korea). Water Research 41: 1269-1279.
Kim, D.-K., K.-S. Jeong, P.A. Whigham, G.-J. Joo 2007. Winter diatom blooms in a regulated river in South Korea: explanations based on evolutionary computation. Freshwater Biology 52: 2021-2041.
Kim, D.-K., K.-S. Jeong, K.-H. Chang, G.-H. La, G.-J. Joo, H.-W. Kim 2012. Patterning zooplankton communities in accordance with annual climatic conditions in a regulated river system (the Nakdong River, South Korea). International Review of Hydrobiology 97: 55-72.
Kim, D.-K., K.-S. Jeong, R.I.B. McKay, T.-S. Chon, G.-J. Joo 2012. Machine learning for predictive management: short- and long-term prediction of phytoplankton biomass using genetic algorithm based recurrent neural networks. International Journal of Environmental Research 6: 96-108.
Dr. Alex Neumann
alex.neumann.eco@gmail.com
Qualifications:
University of Toronto (MEnvSc, PhD)
National Research University Moscow State University of Civil Engineering (BEng)Personal Website: http://ca.linkedin.com/in/neumann1
Research Interests:
Risk assessment, mathematical modelling of environmental systems, water pollution.
Select Publications:
Gudimov A., E. O’Connor, M. Dittrich., H. Jarjanazi, M. Palmer, E. Stainsby, J. Winter, J. Young, and G.B. Arhonditsis 2012. Continuous Bayesian Network for Studying the Causal Links between Phosphorus Loading and Plankton Patterns in Lake Simcoe, Ontario, Canada. Environmental Science & Technology 46: 7283-7292.
Gudimov A., M. Ramin, T. Labencki, C. Wellen, M. Shelar, Y. Shimoda, D. Boyd, G.B. Arhonditsis 2011. Predicting the response of Hamilton Harbour to the nutrient loading reductions: A modeling analysis of the “ecological unknowns”. Journal of Great Lakes Research 37: 494-506.
Gudimov A., M. Ramin, S. Stremilov, and G.B. Arhonditsis 2010. Eutrophication risk assessment in Hamilton Harbour: System analysis and evaluation of nutrient loading scenarios. Journal of Great Lakes Research 36: 520-539.
Dr. Yuko Shimoda
yshimoda@utsc.utoronto.ca
Qualifications:
University of Toronto (MEnvSc, PhD)
Trent University (BSc)
University of Tokushima (BA)
Research Interests:
Nutrient dynamics and ecosystem modeling, competition patterns/structural shifts in plankton communities, climate change and impacts on freshwater ecosystems, bayesian hierarchical models, structural equation modeling.
Select Publications:
Shimoda Y., E. Azim, , G. Perhar, M. Ramin, M. Kenney, S. Sadraddini, A. Gudimov, and G.B. Arhonditsis 2011. Our current understanding of lake ecosystem response to climate change: what have we learnt from the north temperate lakes? Journal of Great Lakes Research 37: 173-193.
Dr. Carlos Alberto Arnillas
Email: carlos.arnillasmerino@mail.utoronto.ca
carlosalberto.arnillas@gmail.com
Qualifications:
University of Toronto Scarborough (PhD)
National Agrarian University La Molina, Lima, Peru (BSc)
Research Interests:
Integrating ecosystem theory to support the decision-making processes, climate change and other drivers of global change, phylogenetic analysis, plant communities as mediators of environmental services, spatio-temporal analysis, teaching tools
Select Publications:
Arnillas, C.A.& Cadotte, M.W. (2019). Experimental dominant plant removal results in contrasting assembly for dominant and non-dominant plants. Ecology Letters. 22(8): 1233-1242
Arnillas, C.A., Smith, S.M., Ni, F.J. & Martin, A. (2019). Biogeography in Conservation: Tools to Explore the Past and Future of Species in a Changing World. Lessons in Conservation, 9, 55–94.
Arnillas, C. A., Tovar, C., Cadotte, M. W., & Buytaert, W. (2017). From patches to richness: Assessing the potential impact of landscape transformation on biodiversity. Ecosphere, 8(11). https://doi.org/10.1002/ecs2.2004
Arnillas, C.A., W. Buytaert., R. Vásquez y Gonzales, Sofía. 2015. La economía del cambio climático en el Perú: dotación de recursos naturales renovables. [The economy of climate change in Peru: Renewable natural resources provision] Banco Interamericano de Desarrollo, Monografía No. 263 (MG-263). Washington DC.
Dr. Alex Neumann
Email: alex.neumann.eco@gmail.com
ORCID
Qualifications:
University of Toronto (MEnvSc, PhD)
Moscow International Business School MIRBIS (MBA)
National Research University Moscow State University of Civil Engineering (BEng)
Research Interests:
Data-driven analysis to support adaptive management in natural science; environmental modeling of of environmental and ecological systems; statistical and mechanistic modelling in watershed-river-lakes continuum; Bayesian MCMC modelling techniques.
Select Publications:
Neumann, A., Dong, F., Shimoda, Y., Arnillas, C., Javed, A., Bass, B., Paredes, D., Yang, C., Zamaria, S., Mandal, S., Wellen, C., Feisthauer, N., Blukacz-Richards, A., Rao, Y., G. B. Arhonditsis, 2020. A guide for managers and watershed modellers to design adaptive management implementation in Lake Erie: A review of the current state of process-based modelling. Submitted to Environmental Reviews.
Neumann, A., Kim, D.K., Perhar, G., and Arhonditsis, G.B. 2017. Integrative Analysis of the Lake Simcoe Watershed (Ontario, Canada) as a Socio-Ecological System. Journal of Environmental Management, 188: 308-321
Dr. Ali Saber
Email: ali.sabersichani@gmail.com
Research Interests:
Hydrodynamic and water quality modeling, application of data mining and artificial intelligence for the analysis of environmental phenomena, transport and fate of contaminants in aquatic environments, treatment of industrial and municipal wastewaters
Select Publications:
Saber A., James D.E., Hannoun I. A., (2020). Effects of lake water level fluctuation due to drought and extreme winter precipitation on mixing and water quality of an alpine lake, Case Study: Lake Arrowhead, California. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2020.136762
Saber A., James D. E., Hayes D. F. (2019). Long-term forecast of water temperature and dissolved oxygen profiles in deep lakes using artificial neural networks conjugated with wavelet transform. Limnology & Oceanography. https://doi.org/10.1002/lno.11390
Saber A., James D. E., Hayes D. F., (2018). Effects of seasonal fluctuations of surface heat flux and wind stress on mixing and vertical diffusivity of water column in deep lakes. Advances in Water Resources, 119, 150-163. https://doi.org/10.1016/j.advwatres.2018.07.006
Saber A., James D. E., Hayes D. F. (2019). Estimation of water quality profiles in deep lakes based on easily measurable constituents at the water surface using artificial neural networks coupled with stationary wavelet transform. Science of the Total Environment, 133690. https://doi.org/10.1016/j.scitotenv.2019.133690
Dr. Yuko Shimoda
Email: yuko.shimoda@utoronto.ca
Qualifications:
University of Toronto (MEnvSc, PhD)
Trent University (BSc)
University of Tokushima (BA)
Research Interests:
Nutrient dynamics and ecosystem modeling, Phytoplankton Functional Group/Type (PFG) modelling, food-web dynamics, competition patterns/structural shifts in plankton communities, climate change and the impacts on freshwater ecosystems, bayesian hierarchical models, structural equation modeling
Select Publications:
Shimoda, Y., and G.B. Arhonditsis, 2016. Phytoplankton functional type modelling: Running before we can walk? A critical evaluation of the current state of knowledge. Ecological Modelling 320: 29-43.
Shimoda, Y., S. Watson, M.E. Palmer, M. Koops, S. Mugalingam, A. Morley, and G.B. Arhonditsis, 2016. Delineation of the role of nutrient variability and dreissenids (Mollusca, Bivalvia) on phytoplankton dynamics in the Bay of Quinte, Ontario, Canada. Harmful Algae 55: 121-136.
Shimoda, Y., E. Azim, G. Perhar, M. Ramin, M. Kenney, S. Sadraddini, A, Gudimov and G.B. Arhonditsis, 2011. Our current understanding of lake ecosystem response to climate change: what have we learnt from the deep lakes? Journal of Great Lakes Research 37: 173–193.
Dr. Odai Al Balasmeh
Email: odai.balasmeh@utoronto.ca
Qualifications:
Thapar Institute of Engineering and Technology (PhD)
University of Mysore (MSc)
Al Al-Bayt University (BA)
Research Interests:
Trend and Data analysis to support adaptive management in environmental phenomena; Watershed management and modeling; Geo-Informatics and Spatial-Temporal data analysis and mapping.
Select Publications:
Al Balasmeh O., Karmaker T. & Babbar R. (2023). Experimental Investigation and Modeling of Rainfall-Induced Erosion of Semi-Arid Region Soil under Various Vegetative Land Covers. Journal of Hydroinformatics. 25 (3): 1029–1053. https://doi.org/10.2166/hydro.2023.213.
Al Balasmeh O., Babbar R. & Karmaker T. (2020). A Hybrid Drought Index for drought assessment in Wadi Shueib Catchment Area in Jordan. Journal of Hydroinformatics. 22 (4): 937–956. https://doi.org/10.2166/hydro.2020.038.
Al Balasmeh, O., Karmaker, T. Effect of Temperature and Precipitation on the Vegetation Dynamics of High and Moderate Altitude Natural Forests in India. J Indian Soc Remote Sens 48, 121–144 (2020). https://doi.org/10.1007/s12524-019-01065-8
Al Balasmeh O., Babbar R. & Karmaker T. (2019). Trend Analysis and ARIMA Modeling for Forecasting Precipitation Pattern in Wadi Shueib Catchment Area in Jordan. Arabian Journal for Geosciences. 12: 27. https://doi.org/10.1007/s12517-018-4205-z.