Miss Sadaf Akbari

Research project: Computational modeling and simulation of smart tissue scaffolds


My PhD research is intended to design and evaluate smart tissue scaffolds that respond to biological stimuli and achieve optimal functionality through adapting to environmental variations. Owing to the expenses of conducting experimental tests, sophisticatednumerical models of the scaffolds, calibrated and optimized using the experimental results, will be developed. The proposed approach will take advantage of modern software tools for geometry modelling and visualization, shape optimization and computational simulation. Confidence in optimization results and the subsequent mechanicalperformance derived from detailed modelling will be achieved through carrying out a case study. This will be designed through additive manufacturing techniques in collaboration with project partners. Test data will be analyzed to assess the response ofscaffolds to biological stimuli.


I obtained my bachelor's degree in Pharmacy from University of Sharjah in 2017. After working in community and hospital pharmacies for a year, I moved to the UK to get my master's degree. I graduated from Kingston University in 2019 with a Master of Pharmaceutical Sciences with Management Studies. I am currently conducting my PhD research in bioengineering, medical and biomedical engineering.

Areas of research interest

  • Biomaterials
  • Tissue engineering
  • Regenerative medicine
  • Pharmaceutics


  • Bachelor of Pharmacy, University of Sharjah, 2017
  • Master of Pharmaceutical Sciences with Management Studies, Kingston University, 2019

Funding or awards received

  • PhD starter bursary


Number of items: 1.

Conference or Workshop Item

Akbari, Sadaf, Suarez Bolivar, Vanessa and Khazaeinejad, Payam (2022) A finite element study of geometrical design of bone tissue scaffolds. In: The 2022 Annual Conference of the UK Association for Computational Mechanics; 20-22 Apr 2022, Nottingham, U.K.. (Unpublished)

This list was generated on Tue Jun 6 05:36:41 2023 BST.