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Arab, H., Ghaffari, I., Chioukh, L., Tatu, S. O., & Dufour, S. (2022). A Convolutional Neural Network for Human Motion Recognition and Classification Using a Millimeter-Wave Doppler Radar. IEEE Sensors Journal, 22(5), 4494-4502. External link
Arab, H., Wang, D.S., Wu, K., & Dufour, S. (2022). A Full-Wave Discontinuous Galerkin Time-Domain Finite Element Method for Electromagnetic Field Mode Analysis. IEEE Access, 10, 125243-125253. External link
Arab, H., Ghaffari, I., Evina, R. M., Tatu, S. O., & Dufour, S. (2022). A Hybrid LSTM-ResNet Deep Neural Network for Noise Reduction and Classification of V-Band Receiver Signals. IEEE Access, 10, 14797-14806. External link
Arab, H., Arabsalmanabadi, B., & Dufour, S. (2022). A novel time‐domain numerical methodology for the electromagnetic analysis of an H‐plane tee power divider. The Journal of Engineering, 2022(10), 1032-1036. External link
Arab, H., Ghaffari, I., Chioukh, L., Tatu, S. O., & Dufour, S. (2021). Machine Learning Based Object Classification and Identification Scheme Using an Embedded Millimeter-Wave Radar Sensor. Sensors, 21(13), 4291 (12 pages). Available
Arab, H., Arabsalmanabadi, B. A., Al-Haddad, K., & Dufour, S. (2021, October). Analyzing Rectangular Coil Wireless Power Transfer Based on Time Domain Discontinue Galerkin Method [Paper]. 47th Annual Conference of the IEEE Industrial Electronics Society (IECON 2021), Toronto, ON, Canada (4 pages). External link
Arabsalmanabadi, B., Arab, H., Amador, V. H. G., Dufour, S., & Al-Haddad, K. (2021). A three-dimensional discontinuous galerkin time-domain finite element method for electromagnetic modeling of wireless power transfer coils. IEEE Open Journal of the Industrial Electronics Society, 2, 360-371. Available
Arabsalmanabadi, B., Porras, P., Arab, H., Dufour, S., & Al-Haddad, K. (2020, February). Analytical Design Study of Spiral Circular Coils for Efficient Magnetic Resonant Coupling Power Transmission in EV Chargers [Paper]. IEEE International Conference on Industrial Technology (ICIT 2020), Buenos Aires, Argentina. External link
Arab, H., Chioukh, L., Dashti Ardakani, M., Dufour, S., & Tatu, S. O. (2020). Early-Stage Detection of Melanoma Skin Cancer Using Contactless Millimeter-Wave Sensors. IEEE Sensors Journal, 20(13), 7310-7317. External link
Arab, H., Dufour, S., Moldovan, E., Akyel, C., & Tatu, S. O. (2019). Accurate and Robust CW-LFM Radar Sensor: Transceiver Front-End Design and Implementation. IEEE Sensors Journal, 19(5), 1943-1950. External link
Arabsalmanabadi, B., Arab, H., Dufour, S., & Al-Haddad, K. (2019, October). Analytical and Numerical Design Study of Torus Coils with Misalignment for Efficient Inductive Energy Transmission in EV Chargers [Paper]. 45th Annual Conference of the IEEE Industrial Electronics Society (IECON 2019), Lisbon, Portugal. External link
Arab, H., Dufour, S., Moldovan, E., Akyel, C., & Tatu, S. O. (2018). A 77-GHz six-port sensor for accurate near-field displacement and doppler measurements. Sensors, 18(8), 1-19. Available
Dufour, S., & Malidi, A. (2004). A Free Surface Updating Methodology for Marker Function-Based Eulerian Free Surface Capturing Techniques on Unstructured Meshes. Communications in Numerical Methods in Engineering, 20(11), 857-867. External link
Dufour, S., & Pelletier, D. (2001). Computations of Multiphase Flows With Surface Tension Using an Adaptive Finite Element Method. Numerical Heat Transfer. Part A, Applications, 40(4), 335-363. External link
Dufour, S., & Pelletier, D. (1999, January). Computations of multiphase flows with surface tension using adaptive finite element methods [Paper]. 37th AIAA, Aerospace Sciences Meeting and Exhibit, Reno, NV. External link
Dufour, S. (1999). Méthodes d'éléments finis adaptatives pour les écoulements multifluides [Ph.D. thesis, École Polytechnique de Montréal]. Available
Dufour, S., & Pelletier, D. (1999, June). A study of drop dynamics using an adaptive finite element method [Paper]. 14th AIAA Computational Fluid Dynamics Conference, Norfolk, VA, United States (12 pages). External link
Dufour, S., & Pelletier, D. (1998, June). An adaptive finite element method for incompressible flows with interfaces [Paper]. 29th AIAA Fluid Dynamics Conference, Albuquerque, NM, United States (14 pages). External link
Khademi, A., & Dufour, S. (2025). Physics-informed neural networks with trainable sinusoidal activation functions for approximating the solutions of the Navier-Stokes equations. Computer Physics Communications, 109672 (15 pages). External link
Khademi, A., Salari, E., & Dufour, S. (2024). Simulation of 3D turbulent flows using a discretized generative model physics-informed neural networks. International Journal of Non-Linear Mechanics, 104988. External link
Khademi, A., & Dufour, S. (2024). A novel discretized physics-informed neural network model applied to the Navier–Stokes equations. Physica Scripta, 99(7), 076016 (23 pages). Available
Law, Y.-M., Tageddine, D., & Dufour, S. (2019). 3-D Numerical Modeling for the Magnetization of Superconductors Using a Local Discontinuous Galerkin Finite Element Method. IEEE Transactions on Magnetics, 5(8), 1-11. External link
Malidi, A., Dufour, S., & N'Dri, K. D. (2005). A study of time integration schemes for the numerical modelling of free surface flows. International Journal for Numerical Methods in Fluids, 48(10), 1123-1147. External link
Malidi, A., & Dufour, S. (2003, June). A Numerical Strategy for Accurate Free Surface Capturing [Paper]. Computational Fluid and Solid Mechanics (2nd MIT Conference on), Cambridge, MA. External link
Shahshahani, A., Dufour, S., & Heuzey, M.-C. (2007, June). Numerical Modeling of the Deformation in Polymer Blends under Shear Flow [Paper]. 9th International Conference on Numerical Methods in Industrial Forming Processes, Porto (Portugal). External link
Vallet, M.-G., Manole, C.-M., Dompierre, J., Dufour, S., & Guibault, F. (2007). Numerical comparison of some hessian recovery techniques. International Journal for Numerical Methods in Engineering, 72(8), 987-1007. External link