Dr. H. Mamona Nazir

Designation(s):  Assistant Professor
Formal Title(s):  In-Charge
Education:  PhD
Department(s):  Statistics
Email:  mamona.nazir@gcwus.edu.pk
Career Breif:

Dr. Hafiza Mamona Nazir had done BS (Statistics) from University of Sargodha and secured Gold Medal. Later, She did her M.phil and Ph.D. in Statistics from Quaid-i-Azam University Islamabad, Pakistan. Her research focuses on the applied statistics, stochastic process, time series, geo-spatial environmental, data modelling and the deployment of modern statistical approaches for natural process monitoring. She published many international papers in well reputed journals.

Research Articles

  1. Nazir, Hafiza Mamona, et al. “Classification of Drinking Water Quality Index and Identification of Significant Factors.” Water Resources Management 30(12): 4233-4246.
  2. Ali, Zulifqar, Ijaz Hussain, Muhammad Faisal, Hafiza Mamona Nazir, et al. “Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model.” Advances in Meteorology.” (2017).
  3. Ali, Zuliqar, Ijaz Hussain, Muhammad Faisal, Hafiza Mamona Nazir et al. “A Novel Multi-Scalar Drought Index for Monitoring Drought: the Standardized Precipitation Temperature Index.” Water Resources Management 13(15): 4957-4969
  4. Nazir, Hafiza Mamona, et al. “Development of Multidecomposition Hybrid Model for Hydrological Time Series Analysis.” Complexity (2019): 1-14.
  5. Nazir, Hafiza Mamona, et al. “An improved framework to predict river flow time series data”. PeerJ 7(2019): e7183.
  6. Nazir, Hafiza Mamona et al. “Improving the Prediction Accuracy of River Inflow Using Two Data Pre-Processing Techniques Coupled with Data-Driven Model”. PeerJ 7 (2019): e8043.
  7. Nazir, Hafiza Mamona et al. “Dependence Structure Analysis of Multisite River inflow data Using Vine Copula-CEEMDAN Based Hybrid Model: A Case Study on Indus Basin System”. PeerJ 8 (2020): e10285
  8. Maria Qurban, Ijaz Hussain, Hafiza Mamona Nazir et al., “Development of hybrid methods for prediction of principal mineral resources”, Mathematical Problems in Engineering. (2021).
  9. Kayani, S., Hussain, M., Ahmad, M., Khan, M. A., Butt, M. A., Ahmed, S. N., … & Nazir, H. M. (2021). Morpho‐palynological investigation of gymnospermal flora from subalpine and alpine zones of northern Pakistan using LM and SEM. Microscopy research and technique.
  10. Maria Qurban, Muhammad, M. A. Almazah, Hafiza Mamona Nazir et al., “Improvement towards prediction accuracy of Principal Minerals Resources Using Threshold”, Mathematical Problems in Engineering. (2022)