Danial Faghihi

Danial Faghihi is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo. His research focuses on multiscale computational modeling, data-driven predictive methods, and uncertainty quantification with applications in advanced manufacturing, thermal insulation materials, and biomedical systems. He holds a PhD from Louisiana State University and completed a postdoctoral fellowship at the University of Texas at Austin.

• Education:
  • Postdoc, Computational Engineering, University of Texas at Austin (2015)
  • PhD, Civil Engineering, Louisiana State University (2012)
  • MS, Civil Engineering, Sharif University of Technology (2008)
  • BS, Civil Engineering, K. N. Toosi University of Technology (2008)

His research interests integrate advanced computational frameworks with experimental data to address challenges in materials science and biomedical engineering. Notable areas include predictive modeling of silica aerogels, stochastic surrogate models for uncertainty quantification, and tumor growth simulations using Bayesian methods. He has received prestigious awards such as the NSF CAREER Award (2022) and the SES Travel Award (2013).

Recent work emphasizes dynamic data-driven approaches for real-time material damage prediction and scalable algorithms for multi-material design under uncertainty. His contributions span interdisciplinary collaborations in thermal management systems, carbon sequestration materials, and personalized oncology through computational oncology models.

• Key Honors:
  • NSF CAREER Award (2022)
  • SES Travel Award (2013)
  • NSF Summer Institute Fellowship (2013)

His research narrative includes development of novel surrogate models for high-dimensional systems and validation frameworks that bridge atomistic to continuum scales. While specific grants or lab affiliations are not detailed in the provided text, his work reflects sustained innovation in computational science and engineering applications.