Azadeh Sheidaei

Azadeh Sheidaei


Assistant Professor


2337 Howe
537 Bissell Rd.
Ames, IA 50011-1096


Information Links


  • Ph.D., Mechanical Engineering, Michigan State University, 2015
  • M.S., Mechanical Engineering, Michigan State University, 2009
  • B.S., Aerospace Engineering, Sharif University of Technology (Tehran, Iran), 2003

Awards and Honors

  • NSF CAREER Award 2024
  • NSF Travel Award, Academic Leadership for Women in Engineering (ALWE17), 2017.
  • Dissertation competition fellowship, Graduate school, Michigan State University, 2015.
  • Outstanding graduate student, Michigan State University – ME Department, 2014.
  • Selected to receive GE Technology Innovation Days Fellowship, 2011.
  • Zonta International Foundation, Amelia Earhart Fellowship, 2010-2011.


  • Undergrad: AerE 421 Advanced Flight Structures.
  • Graduate: EM 510 Continuum Mechanics.

Research Dr. Sheidaei is the director of the Integrated Computational Material Design (ICMD) Laboratory. She has over 10 years of experience conducting research on developing microstructure reconstruction techniques for materials , establishing numerical techniques to homogenize microstructure to obtain physical properties (stiffness, strength, thermal conductivity, electrical conductivity, permeability, degradation, coupling (piezoelectric), material informatics for structure properties links, application of scientific machine learning and design and optimization of the printable metamaterial, computational modeling of composite materials including nano-reinforced composites. In ICMD Lab, she brings together the capabilities of computational mechanics methods, data science, experimental approaches, and material processing to design and manufacture advanced material systems.

  • Multifunctional material for competing properties in space applications
  • Energy harvesting materials such as piezoelectric materials
  • Energy storage materials such as lithium-ion batteries and fuel cells
  • Biological materials such as bone (in meso scale) and fibrous soft tissue such as liver
  • Biomaterials such as biodegradable polymeric scaffolds and bone fixation implant

Selected Sponsored Projects:

    • CAREER: Cyberinfrastructure for Printable Multifunctional Microstructural Materials, NSF, 2024-2029
    • Exploratory Research Project, ISU College of Engineering, Automated Digital Design and Additive Manufacture of Multifunctional Materials
    • NDE Modeling Shortfalls for Ceramic Matrix Composites (CMCs), AFRL/RXC Structural Materials
    • Design of Printable Multifunctional Materials via a New Physics‐Aware Deep Generative Learning Model for Space Applications, Iowa NASA EPSCoR program
    • Center for the Advancement of Science in Space, International Space Station National Laboratory (“ISSNL), Computational Microstructure Inspired and Data-driven Model for Bone Degradation to Study the Progression of Osteoporosis, USER AGREEMENT #UA-2019-977, 8/2019-8-2020.
    • NSF, “MRI: Acquisition of a 3D Digital Image Correlation System to Enhance Research and Teaching”, PI: J. Baqersad, Co-PI: A. Sheidaei, D. Ludwigsen, T. Atkinson, NSF Award, $183,835, 8/2016.
    • PI, Kettering Faculty Research Fellowship, “Use of Digital Image Correlation system to calibrate computational models for polymers and polymer nano-composites”, $8,000, 9/2016.
    • PI, NSF Center for Advanced Automotive Technology (CAAT), Developed curriculum for an elective course “Vehicle Lightweighting”, $22,000, 4/2016-8/216.
    • PI, The Kern Entrepreneurial Engineering Network (KEEN),’ Implementation of Innovation and Entrepreneur Mindset Concept into Mechanics of Materials course’, $ 10,000, 9/2016-12/2016.
    • Multiscale modeling of xGnP polymer composite. Composite Vehicle Research Center, Michigan State University (CVRC). 2010-2014, graduate research fund for Azadeh Sheidaei.
    • Replacement of Glass Fibers with Natural Fibers in PPGF Instrument Panel, Faurecia, 2009.


Selected Publications: (51 publications, including 30 journals, 1 patent ,20 Conf. Proceeding, Google Scholar metrics (Jan 2024): 816 citations, h-index=13, i10-index=15)

  • Seyed Mahmoud, S. M. A., Faraji, G., Baghani, M., Hashemi, M. S., Sheidaei, A., & Baniassadi, M. (2023a). Design of Refractory Alloys for Desired Thermal Conductivity via AI-Assisted In-Silico Microstructure Realization. Materials, 16(3), 1088.
  •  Anantharanga, A. T., Hashemi, M. S., & Sheidaei, A. (2023a). Linking properties to microstructure in liquid metal embedded elastomers via machine learning. Computational Materials Science, 218, 111983.
  • Bagherian, A., Famouri, S., Baghani, M., George, D., Sheidaei, A., & Baniassadi, M. (2022a). A new statistical descriptor for the physical characterization and 3D reconstruction of heterogeneous materials. Transport in Porous Media, 142(1–2), 23–40.
  • McCrary, A., Hashemi, M. S., & Sheidaei, A. (2022a). Programmable Bidirectional Mechanical Metamaterial with Tunable Stiffness and Frictional Energy Dissipation. Advanced Theory and Simulations, 5(7), 2200135.
  • Famouri, S., Baghani, M., Sheidaei, A., George, D., Farahani, M. M., Panahi, M. S., & Baniassadi, M. (2022a). Statistical prediction of bone microstructure degradation to study patient dependency in osteoporosis. Mathematics and Mechanics of Solids, 27(10), 1987–2001.
  • Hashemi, M. S., McCrary, A., Kraus, K. H., & Sheidaei, A. (2021a). A novel design of printable tunable stiffness metamaterial for bone healing. Journal of the Mechanical Behavior of Biomedical Materials, 116, 104345.
  • Hashemi, M. S., Safdari, M., & Sheidaei, A. (2021). A supervised machine learning approach for accelerating the design of particulate composites: Application to thermal conductivity. Computational Materials Science, 197, 110664.
  • Dehnavi, F. N., Safdari, M., Abrinia, K., Sheidaei, A., & Baniassadi, M. (2020a). Numerical study of the conductive liquid metal elastomeric composites. Materials Today Communications, 23, 100878.
  • Hajighasemi, M. R., Safarabadi, M., Sheidaei, A., Baghani, M., & Baniassadi, M. (2020a). Design and manufacture of a smart macro-structure with changeable effective stiffness. International Journal of Applied Mechanics, 12(01), 2050001.
  • Hashemi, M. S., Baniassadi, M., Baghani, M., George, D., Remond, Y., & Sheidaei, A. (2020a). A novel machine learning based computational framework for homogenization of heterogeneous soft materials: application to liver tissue. Biomechanics and Modeling in Mechanobiology, 19, 1131–1142.
  • Bharadwaj, K., Sheidaei, A., Afshar, A., & Baqersad, J. (2019a). Full-field strain prediction using mode shapes measured with digital image correlation. Measurement, 139, 326–333.
  • Kazempour, M., Bagherian, A., Sheidaei, A., Baniassadi, M., Baghani, M., Rémond, Y., & George, D. (2019a). Numerical simulation of osteoporosis degradation at local scale: a preliminary study on the kinematic loss of mechanical bone stiffness and microstructure. Stem Cells Regen. Med, 79, 86–93.
  • Sheidaei, A., Kazempour, M., Hasanabadi, A., Nosouhi, F., Pithioux, M., Baniassadi, M., Rémond, Y., & George, D. (2019b). Influence of bone microstructure distribution on developed mechanical energy for bone remodeling using a statistical reconstruction method. Mathematics and Mechanics of Solids, 24(10), 3027–3041.
  • Ghanati, P., Adibnazari, S., Alrefai, M., & Sheidaei, A. (2018). A new approach for closed-form analytical solution of two-dimensional symmetric double contacts and the comparison with finite element method. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 232(8), 1025–1035.
  • Yousefi, E., Sheidaei, A., Mahdavi, M., Baniassadi, M., Baghani, M., & Faraji, G. (2017a). Effect of nanofiller geometry on the energy absorption capability of coiled carbon nanotube composite material. Composites Science and Technology, 153, 222–231.
  • Safaei, M., Sheidaei, A., Baniassadi, M., Ahzi, S., Mashhadi, M. M., & Pourboghrat, F. (2015a). An interfacial debonding-induced damage model for graphite nanoplatelet polymer composites. Computational Materials Science, 96, 191–199.
  • Amani Hamedani, H., Baniassadi, M., Sheidaei, A., Pourboghrat, F., Rémond, Y., Khaleel, M., & Garmestani, H. (2014a). Three-dimensional reconstruction and microstructure modeling of porosity-graded cathode using focused ion beam and homogenization techniques. Fuel Cells, 14(1), 91–95.
  • Sheidaei, A., Baniassadi, M., Banu, M., Askeland, P., Pahlavanpour, M., Kuuttila, N., Pourboghrat, F., Drzal, L. T., & Garmestani, H. (2013a). 3-D microstructure reconstruction of polymer nano-composite using FIB–SEM and statistical correlation function. Composites Science and Technology, 80, 47–54.
  • Tabei, S. A., Sheidaei, A., Baniassadi, M., Pourboghrat, F., & Garmestani, H. (2013a). Microstructure reconstruction and homogenization of porous Ni-YSZ composites for temperature dependent properties. Journal of Power Sources, 235, 74–80.
  • Sheidaei, A., Hunley, S. C., Zeinali-Davarani, S., Raguin, L. G., & Baek, S. (2011a). Simulation of abdominal aortic aneurysm growth with updating hemodynamic loads using a realistic geometry. Medical Engineering & Physics, 33(1), 80–88.
  • Sheidaei, A., Xiao, X., Huang, X., & Hitt, J. (2011d). Mechanical behavior of a battery separator in electrolyte solutions. Journal of Power Sources, 196(20), 8728–8734.
  • Zeinali-Davarani, S., Sheidaei, A., & Baek, S. (2011a). A finite element model of stress-mediated vascular adaptation: application to abdominal aortic aneurysms. Computer Methods in Biomechanics and Biomedical Engineering, 14(9), 803–817.

Primary Strategic Research Area

Advanced Materials & Manufacturing