Hafez Tari

Contact Information

  • Email: Hafez Tari
  • Phone: 937-229-2334
  • Location: Kettering Laboratories Room 507

Hafez Tari

Lecturer

  • Full-Time Faculty

Bio

Dr. Tari has taught a diverse set of topics, from Materials Lab and Computational Methods to Heat Transfer and Dynamic Systems & Controls at University of Dayton (UD). His research lies at the intersection of design, multi-functional materials, and scientific computing with applications to the aerospace and automotive industries as well as to soft robotics and biomedical devices. Dr. Tari is the recipient of two highly competitive grants within the University of Dayton, i) STEM Catalyst Grant 2018 and ii) Research Council Seed Grant 2017. Since joining UD, he has developed a model for dynamic tunability of soft magneto-electric material properties as well as a universal, closed-form theory for modeling the nonlinear, hysteretic behavior of magnetostrictive, electrostrictive, elastomeric, and shape memory materials. In the context of scientific computing, he is also interested in developing large-scale codes and the associated parallel computing architectures for computationally intensive simulations. To date, he has published over twenty refereed journal articles, many of which have had an impact on his field, as reflected in his strong level of citations (500+). Dr. Tari also serves as an associate editor for the journal of Mathematical Problems in Engineering.

Selected Publications

  • Tari, H., & Dapino,M. J. (2017). Globally convergent nonlinear 3D inverse model for smart materials with Hessian-based optimization. Computer Methods in Applied Mechanics and Engineering, 318: 864-881.
  • Tari, H. (2013). On the parametric large deflection study of Euler-Bernoulli cantilever beams subjected to combined tip point loading. International J. of Non-Linear Mechanics, 49: 90-99.
  • Tari, H. (2007). Modified variational iteration method. Physics Letters A, 369(4): 290-293.

Selected Honors and Awards

  • STEM Catalyst Grant, University of Dayton, 2018
  • Research Council Seed Grant, University of Dayton, 2017

Courses Taught

  • MEE 312L - Materials Lab
  • MEE 314 - Computational Methods
  • MEE 410 – Heat Transfer
  • MEE 439 – Dynamic Systems & Controls

Degrees

  • Ph.D., Mechanical Engineering, The Ohio State University, 2014
  • M.S., Mechanical Engineering, University of Maryland, Baltimore County, 2011

Professional Activities

  • Associate Editor, Mathematical Problems in Engineering
  • Session Chair, 43rd Dayton-Cincinnati Aerospace Sciences Symposium, 2018
  • Guest Editor, Advances in Nonlinear Complexity Analysis for Partial Differential Equations, 2013