---

Peer-reviewed articles

• H.R. Karbasian, W.M. van Rees, A parametric LSTM neural network and its application to predicting flapping foil dynamics across a design space, (submitted)

• H.R. Karbasian, W.M. van Rees, A Deep-Learning Surrogate Model Approach for Optimization of Morphing Airfoils, AIAA SCITECH, 2023.

• H.R. Karbasian, B.C. Vermeire, Application of physics-constrained data-driven reduced-order models to shape optimization, Journal of Fluid Mechanics, 2022.

• H.R. Karbasian, B.C. Vermeire, Sensitivity analysis of chaotic dynamical systems using a physics constrained data-driven approach, Physics of Fluids, 2022.

• H.R. Karbasian, J.A. Esfahani, A.M. Aliyu, K.C. Kim, Numerical analysis of wind turbines blade in deep dynamic stall, Renewable Energy, 2022.

• A. Aubrey, H.R. Karbasian, B.C. Vermeire, High-fidelity gradient-free optimization of low-pressure turbine cascades, Computers and Fluids, 2022.

• H.R. Karbasian, B.C. Vermeire, Gradient-free aerodynamic shape optimization using Large Eddy Simulation, Computers and Fluids, 2021.

• G. Chang, H.R. Karbasian, …, The influence of kinematics of blades on the flow structure in deep dynamic stall, Journal of Mechanical Science and Technology, 2020.

• Z. Li, L. Feng, H.R. Karbasian, J. Wang, K.C. Kim, Experimental and numerical investigation of three-dimensional vortex structures of a pitching airfoil at a transitional Reynolds number, Chinese Journal of Aeronautics, 2019.

• M. Abolfazli, H.R. Karbasian, K.C. Kim, Multi-objective optimization of kinematic parameters of fish-like swimming using a genetic algorithm method, Journal of Hydrodynamics, 2019.

• H.R. Karbasian, J.A. Esfahani, Enhancement of propulsive performance of flapping foil by fish-like motion pattern, Computers and Fluids, 2017.

• H.R. Karbasian, D.Y. Kim, …, A new method for reducing VOCs formation during crude oil loading process, Journal of Mechanical Science and Technology, 2017.

• M. Kim, H.R. Karbasian, E. Yeom, Transient three-dimensional flow structures of oblique jet impingement on a circular cylinder, Journal of Visualization, 2017.

• H.R. Karbasian, J.A. Esfahani, E. Barati, The power extraction by flapping foil hydrokinetic turbine in swing arm mode, Renewable Energy, 2016.

• H.R. Karbasian, K.C. Kim, Numerical investigations on flow structure and behavior of vortices in the dynamic stall of an oscillating pitching hydrofoil, Ocean Engineering, 2016.

• H.R. Karbasian, J.A. Esfahani, E. Barati, Effect of acceleration on dynamic stall of airfoil in unsteady operating conditions, Wind Energy, 2016.

• H.R. Karbasian, J.A. Esfahani, E. Barati, Simulation of power extraction from tidal currents by flapping foil hydrokinetic turbines in tandem formation, Renewable Energy, 2015.

• J.A. Esfahani, H.R. Karbasian, E. Barati, Proposed kinematic model for fish-like swimming with two pitch motions, Ocean Engineering, 2015.

• J.A. Esfahani, E. Barati, H.R. Karbasian, Fluid structures of flapping airfoil with elliptical motion trajectory, Computers and Fluids, 2015.

• H.R. Karbasian, S.A.Moshizi, M.J. Maghrebi, Dynamic stall analysis of S809 pitching airfoil in unsteady free stream velocity, Journal of Mechanics, 2015.

• J.A. Esfahani, E. Barati, H.R. Karbasian, Effect of caudal on hydrodynamic performance of flapping foil in fish-like swimming, Journal of Applied Ocean Research, 2013.

• J.A. Esfahani, E. Barati, H.R. Karbasian, Comparative investigations in the effect of angle of attack profile on hydrodynamic performance of bio-inspired foil, Journal of Naval Architecture and Marine Engineering, 2013.

• H.R. Karbasian, …, K.C. Kim, Numerical visualization of mixing in a circular chamber by two opposite impinging jets, Journal of the Korean Society of Visualization, 2016.

• J.A. Esfahani, H.R. Karbasian, Optimizing the shape of rotor blades for maximum power extraction in marine current turbines, IJAME, 2012.

---

Book

B.C. Vermeire, C.A. Pereira, H.R. Karbasian, Computational Fluid Dynamics: An Open-Source Approach, Concordia University Press, 2020.

---

Invited talks

• H.R. Karbasian, AI for Design: Searching ways to accelerate designs, Department of Mechanical Engineering, University of Massachusetts Dartmouth, Dartmouth, USA, Jan. 2024.

• H.R. Karbasian, A novel reduced-order modeling for high-fidelity PDE-constrained aerodynamic optimization, Department of Mechanical Engineering, Toronto Metropolitan University, Toronto, Canada, Jun. 2023.

• H.R. Karbasian, High-fidelity PDE-constrained aerodynamic optimization using reduced-order modeling, Department of Mechanical Engineering, University of South Florida, USA, May. 2023.

• H.R. Karbasian, Design in Chaos: High-Fidelity Aerodynamic Optimization Using Novel Physics Constrained Machine Learning, Department of Mechanical and Aerospace Engineering, University of California, Davis, Feb. 2022.

• H.R. Karbasian, Physics-constrained data-driven reduced-order modelling for large-scale optimizations, National Research Council Canada, Dec. 2021.

• H.R. Karbasian, Sensitivity analysis and uncertainty quantification using novel physics-constrained machine learning, Department of Mathematics and Statistics, Utah State University, Sep. 2021.

• H.R. Karbasian, B.C. Vermeire, Design in Chaos, University of Toronto Institute for Aerospace Studies, Toronto, Canada, Apr. 2021.

• H.R. Karbasian, Design in Chaos, Department of Mechanical Engineering, The University of British Columbia, Vancouver, Canada, Apr. 2021.

• H.R. Karbasian, B.C. Vermeire, Shadow of the Chaos, University of Toronto Institute for Aerospace Studies, Toronto, Canada, Nov. 2020.

---

Conference papers & presentations (refereed)

• H.R. Karbasian, W. van Rees, A parameterized LSTM deep neural network framework to model unsteady flow problems, American Physical Society, Washington DC, USA, 2023.

• Omar Tazi Labzour, H.R. Karbasian, Sebastien Houde, Frederick P. Gosselin, Combining Reduced-Order Modeling and PINNs to model Fluid-Structure Interactions, Canadian Society for Mechanical Engineering (CSME), Sherbrooke, Canada, 2023.

• H.R. Karbasian, W. vanRees, A Deep-Learning Surrogate Model Approach for Optimization of Morphing Airfoils, AIAA SciTech, National Harbor, USA, 2023.

• H.R. Karbasian, W. vanRees, Development of surrogate models for unsteady flow fields using a deep neural network, American Physical Society, Indianapolis, USA, 2022.

• H.R. Karbasian, B.C. Vermeire, Advances in Multi-Disciplinary PDE-Constrained Optimization, The 29th Annual Conference of the CFD Society of Canada, St. Johns, Newfoundland, Canada, 2021.

• H.R. Karbasian, B.C. Vermeire, Aerodynamic Optimization of Unsteady Chaotic Flows, AERO Conference at Canadian Aeronautics and Space Institute, Canada, 2021.

• A. Aubry, H.R. Karbasian, B.C. Vermeire, High-Fidelity Gradient-Free Optimization of Low-Pressure Turbine Cascades, International Conference on Spectral and High Order Methods, Vienna, Austria, 2021.

• A. Aubry, H.R. Karbasian, B.C. Vermeire, High-Fidelity Gradient-Free Optimization of Low-Pressure Turbine Cascades, The 29th Annual Conference of the CFD Society of Canada, St. Johns, Newfoundland, Canada, 2021.

• A. Aubry, H.R. Karbasian, B.C. Vermeire, High-Fidelity Gradient-Free Optimization of Low-Pressure Turbine Cascades, AERO Conference at Canadian Aeronautics and Space Institute, Canada, 2021.

• H.R. Karbasian, B.C. Vermeire, Gradient-free high-fidelity airfoil optimization, AERO Conference at Canadian Aeronautics and Space Institute, Laval, QC, Canada, 2019.

• K.C. Kim, H.R. Karbasian, Reynolds number effect on airfoil wake structures under pitching and heaving motion, Bulletin of the American Physical Society, 70th Annual Meeting of the APS Division of Fluid Dynamics, Vol.62, Denver, CO, USA, 2017.

• H.R. Karbasian, K.C. Kim, Unsteady Flow Features over Flapping Foil in Low Reynolds Number, Proceedings of the Korean Society for Visualization, South Korea, 2016.

• M. Kim, H.R. Karbasian, E. Yeom, K.C. Kim, Large Eddy Simulation of 45 degrees oblique round jet impingement onto a circular cylinder, Proceedings of the Korean Society for Visualization, South Korea, 2017.

• H.R. Karbasian, K.C. Kim, Vortex structure and instability of flow over heaving and pitching foils, 17th International Symposium on Flow Visualization, Gatlinburg, TN, USA, 2016.

• H.R. Karbasian, K.C. Kim, Flow instabilities and its effect on power generation of horizontal axis wind turbine, The 9th National Congress on Fluid Engineering, Daegu, South Korea, 2016.

• H.R. Karbasian, K.C. Kim, Unsteady flow features over flapping foil in low Reynolds numbers”, The Korean Society of Visualization, Yongin, South Korea, 2016.

---