Dr. Firdos Khan
Department of Mathematics
National University of Sciences and Technology (NUST)
School of Natural Sciences,Sector H-12, Islamabad, Pakistan
+92 51 9085 5602
firdos.khan (at mark) sns.nust.edu.pk
Doctor of Science, University of Klagenfurt, Klagenfurt, Austria, Master of Philosophy, Quaid-i-Azam University, Islamabad, Pakistan, Master of Science, University of Peshawar, Peshawar, Pakistan , Bachelor of Science, University of Peshawar, Peshawar.
Dr. Firdos Khan joined the institute
of Statistics, University of Klagenfurt as a doctoral student in 2013 and
earned a doctoral degree in 2017. Before, his doctoral degree, he worked as
scientific officer in Global Change Impact Studies Centre (GCISC) under the
Ministry of Climate Change in Islamabad. He remained research fellow in the
International Institute for Applied Systems Analysis (IIASA) in Vienna, Austria
in 2012. He joined the School of Natural Sciences as Assistant Professor in
Dr. Firdos has numerous research
papers to his credit in the area of statistical modeling, climate change risk
vulnerability assessment, water availability, drought risk assessment and
climate extremes analysis.
Recent research interests of Dr.
Firdos include Statistical downscaling, statistical modeling, climate
vulnerability risk assessment, optimization of reservoir operation, water
availability assessment, droughts risk assessment and model selection.
List of Publications:
- Khan, F., Spöck, G., Pilz, J. (2019)
A novel approach for modelling pattern and spatial dependence structures
between climate variables by combining mixture models with copula models.
International Journal of Climatology. DOI: 10.1002/joc.6255
- Hamdullah, Akbar M., Khan F. (2019)
Construction of homogeneous climatic regions by combining cluster analysis and
L-moment approach on the basis of Reconnaissance Drought Index for Pakistan.
International Journal of Climatology. DOI: 10.1002/joc.6214
- Ali S, Eum H, Jaepil C, Li D, Khan F,
Dairaku K, Shrestha M L, Hwang S, Naseem W, Khan I A, Fahad S (2019).
Assessment of climate extremes in future projections downscaled by
multiplestatistical downscaling methods over Pakistan . Online first on 22
February 2019 .
- Khan F., Pilz J., Ali S. (2018)
Evaluation of Statistical Downscaling Models by using Pattern and Dependent
Structure in the Monsoon Dominated Region of Pakistan. Weather Vol. 73, No. 6.
- Khan F., Pilz J. (2018) Modelling
and Sensitvity analysis of River Flow in the Upper Indus Basin, Pakistan. Int.
J. Water, Vol. 12, No. 1, 2018.
- Zhao B., Han L., Pilz, J. Wu j., Khan
F., Zhang D., 2017. Metallogenic efficiency from deposit to region–A case study
in western Zhejiang Province, southeastern China. Ore Geology Reviews, 86,
957-970, DOI: 10.1016/j.oregeorev.2016.10.003.
- Khan, F., Pilz, J., Ali S. (2017)
Improved hydrological projections and reservoir management in the Upper Indus
Basin under the changing climate. Water and environmrnt journal, 31 (2),
235-244. DOI: 10.1111/wej.12237.
- Khan, F., Pilz, J., Amjad. M.,
Wiberg, W. (2015) Climate variability and its impacts on water resources under
IPCC climate change scenarios in the Upper Indus Basin, Pakistan. Int. J. of Global
warming, 8(1), 46-69. DOI: 10.1504/ijgw.2015.071583.
- Ali, S., Li, D., Congbin, F., Khan,
F., (2015) 21st Century climatic and hydrological changes over Upper Indus
Basin of Himalayan region of Pakistan. Environmental Research Letters, 10 (1), 014007.
- Amjad, M., Zafar. Q., Khan, F.,
Munir, M., 2015. Evaluation of Weather Research and Forecasting Model for the
Assessment of Wind Resource over Gharo, Pakistan. International Journal of
Climatology, 35 (8) 1821–1832. DOI:10.1002/joc.4089.
- Khan F., Pilz J. Statistical
Methodology for Evaluating Process-Based Climate Models. Published in Book
" Climate Change and Global Warming ". IntechOpen (2018).
Taught following courses at
undergraduate and postgraduate level:
- Statistical Inference
- Bayesian Statistics
- Mathematical Statistics-II
- Stochastic Processes
- Probability and Statistics