Hatef Dastour, PhD

Hatef Dastour, PhD

Environmental ML Researcher & Data Science Educator

Publications

Peer-reviewed Journal Publications

  1. Dastour, H. and Hassan, Q.K., 2024. A multidimensional machine learning framework for LST reconstruction and climate variable analysis in forest fire occurrence. Ecological Informatics, p.102849. [IF: 5.8; IF Quartile: Q1]

  2. Dastour, H., Bhuian, H., Ahmed, M.R., and Hassan, Q.K., 2024 Active Fire Clustering and Spatiotemporal Dynamic Models for Forest Fire Management, Fire, 7(10), p.355. [IF: 3.0; IF Quartile: Q1]

  3. Bhuian, H., Dastour, H., Ahmed, M.R., and Hassan, Q.K., 2024 Comparison of perimeter delineation methods for remote sensing fire spot data in near/ultra-real-time applications, Fire, 7(7), p.226. [IF: 3.0; IF Quartile: Q1]

  4. Dastour, H. and Hassan, Q.K., 2024. Quantifying the Influence of Climate Variables on Vegetation Through Remote Sensing and Multi-dimensional Data Analysis. Earth Systems and Environment, 8, pp.165–180. [IF: 5.3; IF Quartile: Q1]

  5. Dastour, H. , Ahmed, M.R. and Hassan, Q.K., 2024. Analysis of Forest Fire Patterns and Their Relationship with Climate Variables in Alberta’s Natural Subregions. Ecological Informatics, 80, p.102531. [IF: 5.8; IF Quartile: Q1]

  6. Dastour, H. and Hassan, Q.K., 2024. Utilizing MODIS Remote Sensing and Integrated Data for Forest Fire Spread Modeling in the Southwest Region of Canada. Environmental Research Communications, 6(2), p.025007. [IF: 2.5; IF Quartile: Q3]

  7. Ghaderpour, E., Zaghloul, M.S., Dastour, H., Gupta, A., Achari, G. and Hassan, Q.K., 2023. Least-Squares Triple Cross-Wavelet and Multivariate Regression Analyses of Climate and River Flow in the Athabasca River Basin. Journal of Hydrometeorology, 24(10), pp.1883-1900. [IF: 3.1; IF Quartile: Q2]

  8. Dastour, H. and Hassan, Q.K., 2023. A Comparison of Deep Transfer Learning Methods for Land Use and Land Cover Classification. Sustainability, 15(10), p.7854. [IF: 3.3; IF Quartile: Q2]

  9. Dastour, H. and Hassan, Q.K., 2023. A Machine-Learning Framework for Modeling and Predicting Monthly Streamflow Time Series. Hydrology, 10(4), p.95. [IF: 3.1; IF Quartile: Q2]

  10. Dastour, H., Gupta, A., Achari, G. and Hassan, Q.K., 2023. A Robust Regime Shift Change Detection Algorithm for Water-Flow Dynamics. Water, 15(8), p.1571. [IF: 3.0; IF Quartile: Q2]

  11. Zaghloul, M.S., Ghaderpour, E., Dastour, H., Farjad, B., Gupta, A., Eum, H., Achari, G. and Hassan, Q.K., 2022. Long term trend analysis of river flow and climate in Northern Canada. Hydrology, 9(11), p.197. [IF: 3.1; IF Quartile: Q2]

  12. Dastour, H., Ghaderpour, E., Zaghloul, M.S., Farjad, B., Gupta, A., Eum, H., Achari, G. and Hassan, Q.K., 2022. Wavelet-based spatiotemporal analyses of climate and vegetation for the Athabasca river basin in Canada. International Journal of Applied Earth Observation and Geoinformation, 114, p.103044. [IF: 7.6; IF Quartile: Q1]

  13. Dastour, H., Ghaderpour, E. and Hassan, Q.K., 2022. A combined approach for monitoring monthly surface water/ice dynamics of Lesser Slave Lake via Earth observation data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, pp.6402-6417. [IF: 4.7; IF Quartile: Q1]

  14. Dastour, H. and Liao, W., 2021. A generalized optimal fourth-order finite difference scheme for a 2D Helmholtz equation with the perfectly matched layer boundary condition. Journal of Computational and Applied Mathematics, 394, p.113544. [IF: 2.1; IF Quartile: Q1]

  15. Dastour, H. and Liao, W., 2021. An optimal 13-point finite difference scheme for a 2D Helmholtz equation with a perfectly matched layer boundary condition. Numerical Algorithms, 86, pp.1109-1141. [IF: 1.7; IF Quartile: Q1]

  16. Dastour H. and Liao W., 2019. A fourth-order optimal finite difference scheme for the Helmholtz equation with PML. Computers & Mathematics with Applications, 78(6):2147–2165. [IF: 2.9; IF Quartile: Q1]

  17. Liao, W., Yong, P., Dastour, H. and Huang, J., 2018. Efficient and accurate numerical simulation of acoustic wave propagation in a 2D heterogeneous media. Applied Mathematics and Computation, 321, pp.385-400. [IF: 3.5; IF Quartile: Q1]

  18. Garshasbi, M. and Dastour, H., 2016. A mollified marching solution of an inverse ablation-type moving boundary problem. Computational and Applied Mathematics, 35, pp.61-73. [IF: 1.5; IF Quartile: Q1]

  19. Garshasbi, M. and Dastour H., 2015. Estimation of unknown boundary functions in an inverse heat conduction problem using a mollified marching scheme. Numerical Algorithms, 68(4):769–790. [IF: 1.7; IF Quartile: Q1]

  20. Garshasbi, M. and Dastour, H., 2014. Proportional factors estimation in an IHCP. Journal of Hyperstructures, 3(1), pp.53-67. [IF: NA]

  21. Garshasbi, M., Dastour, H.and Jalalvand, M., 2012. A Stable Numerical Solution of an Inverse Moving Boundary Problem of Heat Conduction Using Discrete Mollification Approach. Journal of Advanced Mathematical Modeling, 2(1), pp.47-60. [IF: NA]

  22. Garshasbi, M., Reihani, P. and Dastour, H., 2012. A stable numerical solution of a class of semi-linear Cauchy problems. Journal of Advanced Research in Dynamical and Control Systems, 4, pp.56-67. [IF: NA]

Technical reports

  1. Dastour, H., Ghaderpour E., Zaghloul M.S., Gupta, A., Achari, G., and Hassan, Q.K. 2024. Rive Flow Dynamics of the Athabasca River Basin and their relationship with Climate Variables. For Alberta Environment and Parks, 51 p.

  2. Ghaderpour E., Zaghloul M.S., Dastour, H., Farjad F., Gupta, A., Eum, H., Achari, G., and Hassan, Q.K. 2022. Spatiotemporal Dynamics of the Athabasca River Basin: A Study on Climate, Vegetation, and Hydrometric Changes. For Alberta Environment and Parks, 69 p.

Editor-reviewed Professional Magazines

  1. Bhuian, M.H., Dastour, H., and Hassan, Q.K., 2023. Remote sensing of burn area mapping for the two largest 2023 forest fires in Alberta. CIVIL Magazine, 39, 19-20.

Selected Presentations

  1. Dastour, H. and Hassan, Q.K., “The significance of deep learning for classifying land use and land cover images”, The International Geoscience and Remote Sensing Symposium (IGARSS), Pasadena, CA, USA, 16-21 July 2023 (Accepted, but not presented).

  2. Dastour, H. and Hassan, Q.K., “A Machine-Learning Framework for Modeling and Reconstructing Historical Monthly Streamflow Time Series”, Canadian Water Association (CWRA) 2023 National Conference, Halifax, NS, Canada, 18-21 June 2023 (Conference Presentation).

  3. H. Dastour, “Computational Methods for Solving Wave Equation Inverse Problem”, Eric Milner Colloquium, University of Calgary, Calgary, AB, Canada, October 14, 2016 (Colloquium Presentation).

  4. Dastour, H., “A stabilized marching scheme for solving the inverse problem of degenerate diffusion model”, the Canadian Society of Applied and Industrial Mathematics (CAIMS 2016), University of Alberta, Edmonton, AB, Canada, June 28, 2016 (Conference Presentation).

  5. Dastour, H., “A numerical estimation approach for an inverse heat conduction problem”, 2016 CMS Summer Meeting, University of Alberta, Edmonton, AB, Canada, June 24, 2016 (Conference Presentation).

  6. Dastour, H., “A Computational Method for Solving an Inverse Heat Conduction Problem”, 2016 CMS Summer Meeting, University of Alberta, Edmonton, AB, Canada, June 25, 2016 (Conference Poster Presentation).

  7. Dastour, H., “A mollified marching solution of an inverse degenerate diffusion problem in petroleum reservoir”, Alberta Mathematics Dialogue 2016, Mount Royal University, Calgary, AB, Canada, April 29, 2016 (Conference Presentation).

Graduate Theses

  1. Dastour, H., 2024. Vegetation and Forest Fire Dynamics in Alberta: A Ground and Remote Sensing Data Analysis. (Doctoral thesis, University of Calgary, Calgary, Canada).

  2. Dastour, H., 2019. Optimal Finite Difference Schemes for the Helmholtz Equation with PML. (Doctoral thesis, University of Calgary, Calgary, Canada).