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Khalil Elkhodary

  • Position: Professor
  • Department: Department of Mechanical Engineering
Brief Biography

Khalil I. Elkhodary is a professor of mechanical engineering at The American University in Cairo (AUC). His research interests are generally in computational multiscale and multiphysics modeling and simulation. He co-authored a graduate textbook on nonlinear finite elements of continua and structures, which now has more than 7,000 citations. He serves as founding co-director of AUC’s virtual reality and augmented reality lab, established in 2021. Elkhodary also spearheaded for AUC the establishment of the Magdi Yacoub Foundation Research Laboratories (biomedical and life science) at AUC in 2017 and has been working with Sir Yacoub’s research team on cardiovascular modeling and simulation research since then.

Elkhodary received a BSc (2003) and MSc (2006) from The American University in Cairo, Egypt, and an MSc (2010) and PhD (2010) from North Carolina State University, United States. Has supervised many master's degree students in engineering, as well as co-supervised several PhD students with his colleagues in Dalian University (China). He is the associate editor of the ASME Journal of Engineering Materials and Technology. 

Research Interest
  • Micro and Nano Mechanics: Crystal plasticity FEM, and MD of dislocations
  •  Biomechaics and Multiphysics: Cardiovascular system modeling, FEM, CFD, and FSI
  • Computational Science in Nonlinear Mechanics: ML and graph theory in constitutive modeling and FEM
  • Educational Neurotechnology: VR/AR/MR/XR applications in collaborative engineering education
  • PhD, 2010 Micromechanics, North Carolina State University
  • MSc, 2010 Applied Mathematics, North Carolina State University
  • MSc, 2006 Mechanical Engineering, The American University in Cairo
  • BSc, 2003 Mechanical Engineering, The American University in Cairo
  • Islam H Abdelgaliel, MA Bakr, KI Elkhodary, Mohamed F Aly (2023). Experimental and Computational Investigation of Mg AZ31 Grain Refinement by Shear-Enhanced Rolling. Materials Today Communications. 
  • Ali, A. M., Hafez, A. H., Elkhodary, K. I., & El-Morsi, M. (2023). A CFD-FFT approach to hemoacoustics that enables degree of stenosis prediction from stethoscopic signals. Heliyon.
  • Abulfadl, Y. S., El Ela, Y. A., Al Khaiyat, A. M., Elkhodary, K. I., & Badran, M. (2023). Cyclophosphamide enfeebles myocardial isometric contraction force via RIP1/RIP3/MLKL/TRPM7- mediated necroptosis. Biomedicine & Pharmacotherapy, 163, 114819. 
  • Z Tang, Y Wang, KI Elkhodary, Z Yu, S Tang, D Peng. Data-driven modeling on anisotropic mechanical behavior of brain tissue with internal pressure - Defence Technology, (2023). 
  • D Liu, H Yang, KI Elkhodary, S Tang, X Guo Cyclic softening in nonlocal shells—A data-driven graph-gradient plasticity approach- Extreme Mechanics Letters, (2023). 
  • Gang Zhang, Hai Qiu, Khalil I. Elkhodary, Shan Tang, Dan Peng . Modeling tunable fracture in hydrogel shell structures for biomedical applications. Gels. (2022) 
  • Xiang, Q., Yang, H., Elkhodary, K. I., Sun, Z., Tang S., Guo, X. Derivation of the Orthotropic Nonlinear Elastic Material Law Driven by Low-Cost Data (DDONE). Acta Mechanica Solida Sinica. Online (2022). 
  •  Xiang, Q., Yang, H., Elkhodary, K.I., Tang, S., Guo, X. A multiscale, data-driven approach to identifying thermo-mechanically coupled laws — bottom-up with artificial neural networks. Computational Mechanics. Online (2022). 
  •  Daoping Liu, Hang Yang, Khalil I. Elkhodary, Shan Tang, Wing Kam Liu, and Xu Guo. Mechanistically informed data-driven modeling of cyclic plasticity via artificial neural networks. Computer Methods in Applied Mechanics and Engineering. Online (2022). 
  • Zhang, Gang, Tian Fu Guo, Khalil I. Elkhodary, Shan Tang, and Xu Guo. Mixed Graph-FEM phase field modeling of fracture in plates and shells with nonlinearly elastic solids. Computer Methods in Applied Mechanics and Engineering 389 (2022): 114282. 
  •  Chen, Jie, Hang Yang, Khalil I. Elkhodary, Shan Tang, and Xu Guo. G-MAP123: A mechanisticbased data-driven approach for 3D nonlinear elastic modeling—Via both uniaxial and equibiaxial tension experimental data. Extreme Mechanics Letters 50 (2022): 101545. 
  • Qiu, Hai, Hang Yang, Khalil I. Elkhodary, Shan Tang, Xu Guo, and Jinhao Huang. A data-driven approach for modeling tension–compression asymmetric material behavior: numerical simulation and experiment. Computational Mechanics 69, no. 1 (2022): 299-313.
  • Zhangtao Sun; Fu Tian Guo; Khalil I. Elkhodary; Hang Yang; Nian Zhou; Shan Tang. Localization and macroscopic instability in nanoporous metals. Acta Mechanica Sinica. (2022). 
  • Huang, C., Gao B., Zhou N., Xin R., Tang S., and Elkhodary, K. I.. Enabling High-fidelity Twin Pattern Prediction in Polycrystals—A Mesoscale Grain Boundary Plasticity Model. International Journal of Plasticity 148 (2022): 103121
  • Heidari, A., Elkhodary, K.I, Pop C., […], Tafti, A.H., Patient-Specific Finite Element Analysis of Heart Failure and the Impact of Surgical Intervention in Pulmonary Hypertension Secondary to Mitral Valve Disease. Med. Biol. Eng. Comput. (2022)