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OUR TEAM

Dr Faryal Younis

Assistant Professor (Mathematics)

Introduction:

I am Dr. Faryal Younis, an Assistant Professor in the NUSASH department at NUTECH Islamabad. I have five years of teaching experience and I am passionate about providing students with strong theoretical foundations for Mathematics

Assistant Professor, NUSASH, NUTECH (2019–Present)

  • Teach undergraduate courses in Mathematics.

Serve as a faculty mentor for students

Qualification

Academia: 

  • Ph.D. in Statistics, Quaid-i-Azam University, Islamabad (2019)
  • M.Phil. in Statistics, Quaid-i-Azam University, Islamabad (2013)
  • M.Sc. in International Islamic University Islamabad (2010)

I have published 6 peer-reviewed papers in journals, such as the Journal of Statistical computation and Simulation and RSC Advances.

Taught Courses  :

I have taught a variety of undergraduate-level courses in different departments at NUTECH. Below are the courses I have been involved in teaching:

  • Probability and Statistics
  • Linear Algebra
  • Linear Algebra and Ordinary Differential Equations
  • Differential Equations and Linear Algebra
  • Applied Mathematics I
  • Applied Mathematics II
  • MATH II

Quantitative reasoning

Research 

My research areas include Survey Sampling and Bayesian Sampling.

Publications:

  • Younis, F. and Shabbir, J. (2017). Estimators for population mean in adaptive cluster sampling. Thailand Statistician.
  • Younis, F. and Shabbir, J. (2018). A class of Hartley-Ross-type estimators for population mean in adaptive and stratified adaptive cluster sampling.      Iranian Journal of Science and Technology, Transactions A: Science.
  • Younis, F. and Shabbir, J. (2019). Estimation of general parameter in adaptive cluster sampling using two auxiliary variables.

Journal of the National Science Foundation of Sri Lanka. 

  • Younis, F. and Shabbir, J. (2019). Generalized ratio-type and ratio-exponential-type estimators for population mean under modified Horvitz-Thompson estimator in adaptive cluster sampling.  Journal of Statistical Computation and Simulation. 
  • Younis, F. and Shabbir, J. (2021). Estimation of general parameter under stratified adaptive cluster sampling based on dual use of auxiliary information. Scientia Iranica.
  • Munir S., et al. (2022). Assessing the potential biological activities of TiO 2 and Cu, Ni and Cr doped TiO 2 nanoparticles. RSC Advances.

Dar M.S., et al. (2024). Biocompatible Graphene-Magnetite Nanohybrids for Antimicrobial Applications against Multi-Drug-Resistant Pathogens. ACS Appl. Nano Mater