DR ZURWA KHAN 

DR ZURWA KHAN

Assistant Professor, Mechanical Engineering Programme
College of Engineering & Construction

Academic Qualifications
  • 2026, Texas A&M University, USA, PhD, Mechanical Engineering
  • 2013, Texas A&M University, Qatar, BSc Mechanical Engineering
Professional Experience
  • Graduate Assistant Lecturer – Texas A&M University at Qatar, May 2025- May 2026
  • Graduate Assistant Researcher– Texas A&M University at Qatar, August 2020- April 2025
  • Research Associate– Texas A&M University at Qatar, January 2020 – July 2020
  • Research Assistant – Texas A&M University at Qatar, June 2013-December 2019
Research Interests
  • Multiphase Flow Modelling
  • Physics-Informed Machine Learning
  • Computational Fluid Dynamic
  • Smart Wells & Intelligent Energy Systems
  • Optimisation Under Uncertainty
  • Reduced-Order Modellin
Selected Publications
  • M. F. Wahid, R. Tafreshi, Z. Khan, and A. Retnanto, “A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns,” Heliyon, vol. 9, no. 4, e14977, 2023, issn: 2405-8440. doi: https://doi.org/10.1016/j.heliyon.2023.e14977. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2405844023021849
  • M. F. Wahid, R. Tafreshi, Z. Khan, and A. Retnanto, “Automated flow pattern recognition for liquid-liquid flow in horizontal pipes using machine-learning algorithms and weighted majority voting,” ASME Letters in Dynamic Systems and Control, vol. 1, pp. 1–21, Feb. 2023. doi: 10.1115/1.4056903. [Online]. Available: http://dx.doi.org/10.1115/1.4056903
  • Z. Khan, R. Tafreshi, M. Wahid, and A. Retnanto, “A unified mechanistic model to classify flow patterns and predict pressure drops in oil–water pipeline systems,” Journal of Fluids Engineering, vol. 148, no. 1, p. 011 401, Jul. 2025, issn: 0098-2202. doi: 10.1115/1.4068921. eprint: https://asmedigitalcollection.asme.org/fluidsengineering/article-pdf/148/1/011401/7520534/fe-25-1039.pdf. [Online]. Available: https://doi.org/10.1115/1.4068921