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Ijaz Hussain
PeerJ Author & Reviewer
890 Points

Contributions by role

Author 875
Reviewer 15

Contributions by subject area

Agricultural Science
Statistics
Computational Science
Data Science
Environmental Impacts
Soil Science
Natural Resource Management
Food, Water and Energy Nexus
Ecohydrology
Spatial and Geographic Information Science
Environmental Contamination and Remediation
Ecosystem Science

Ijaz Hussain

PeerJ Author & Reviewer

Summary

Ijaz Hussain received his MPhil in Applied Statistics from National College of Business Administration and Economics Lahore,Pakistan, in 2007 and PhD in Applied Statistics from the University of Klagenfurt, Austria in 2010. Currently he is working as an associate professor and chairman department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan. His research interest is computational Statistics, statistical modeling, environmental Statistics, applied statistics and spatial statistics.

Computational Science Data Mining & Machine Learning Data Science Environmental Impacts Spatial & Geographic Information Science Spatial & Geographic Information Systems Statistics Women's Health

Past or current institution affiliations

Quaid-i-Azam University

Work details

Associate Professor and Chairman

Quaid-i-Azam University
January 2013
Statistics

Websites

  • ResearcherID

PeerJ Contributions

  • Articles 7
May 3, 2022
A new comprehensive approach for regional drought monitoring
Rizwan Niaz, Mohammed M. A. Almazah, Ijaz Hussain, Muhammad Faisal, A. Y. Al-Rezami, Mohammed A. Naser
https://doi.org/10.7717/peerj.13377 PubMed 35529496
May 2, 2022
A new spatiotemporal two-stage standardized weighted procedure for regional drought analysis
Rizwan Niaz, Nouman Iqbal, Nadhir Al-Ansari, Ijaz Hussain, Elsayed Elsherbini Elashkar, Sadaf Shamshoddin Soudagar, Showkat Hussain Gani, Alaa Mohamd Shoukry, Saad Sh. Sammen
https://doi.org/10.7717/peerj.13249 PubMed 35529495
November 6, 2020
Dependence structure analysis of multisite river inflow data using vine copula-CEEMDAN based hybrid model
Hafiza Mamona Nazir, Ijaz Hussain, Muhammad Faisal, Alaa Mohamd Shoukry, Mohammed Abdel Wahab Sharkawy, Fares Fawzi Al-Deek, Muhammad Ismail
https://doi.org/10.7717/peerj.10285 PubMed 33194437
September 8, 2020
Monthly drought prediction based on ensemble models
Muhammad Haroon Shaukat, Ijaz Hussain, Muhammad Faisal, Ahmad Al-Dousari, Muhammad Ismail, Alaa Mohamd Shoukry, Elsayed Elsherbini Elashkar, Showkat Gani
https://doi.org/10.7717/peerj.9853 PubMed 33194356
August 24, 2020
Evaluation of wet and dry event’s trend and instability based on the meteorological drought index
Muhammad Haroon Shaukat, Ahmad Al-Dousari, Ijaz Hussain, Muhammad Faisal, Muhammad Ismail, Alaa Mohamd Shoukry, Elsayed Elsherbini Elashkar, Showkat Gani
https://doi.org/10.7717/peerj.9729 PubMed 32904207
December 6, 2019
Improving the prediction accuracy of river inflow using two data pre-processing techniques coupled with data-driven model
Hafiza Mamona Nazir, Ijaz Hussain, Muhammad Faisal, Elsayed Elsherbini Elashkar, Alaa Mohamd Shoukry
https://doi.org/10.7717/peerj.8043 PubMed 31871832
July 1, 2019
An improved framework to predict river flow time series data
Hafiza Mamona Nazir, Ijaz Hussain, Ishfaq Ahmad, Muhammad Faisal, Ibrahim M. Almanjahie
https://doi.org/10.7717/peerj.7183 PubMed 31304058