Nome Touqeer Ahmad

Ciclo Ordinamento:

35

Cycle:

XXXV

Qualification

Dottorando

At the

Department of Statistical Sciences University of Padua

Contacts (room / phone):

Studio 136 - Telefono: 049 827 4111

Email:

touqeer.ahmad@phd.unipd.it

Years of study:

2019 - 2022

Supervisor:

Carlo Gaetan (Univ. Ca 'Foscari of Venice)

Education:

1. (2011-2013) Bachelor of Science (BSc) from University of Gujrat, Pakistan. 2. (2013-2015) Master of Science (MSc) in statistics from International Islamic University, Islamabad, Pakistan. 3. (2015-2017) MS statistics from International Islamic University, Islamabad, Pakistan.

Research:

Master Thesis: Rainfall frequency analysis in Pakistan using Bayesian approach (Supervisor: Dr. Ishfaq Ahmad Associate Professor Department of Mathematics and Statistics International Islamic University, Islamabad, Pakistan)

Teaching:

1- Sep 2105 to Jan 2018 Teaching assistant in the department of Statistics Allama Iqbal University, Islamabad, Pakistan

,

2- Feb 2018 to date Lecturer in statistics at Govt. of Punjab Higher Education Department, Pakistan (on study leave)

Publications:

1. AHMAD, I., AHMAD, T., & ALMANJAHIE, I. M. (2019). Modelling of extreme rainfall in Punjab, Pakistan using Bayesian and frequentist approach. Applied Ecology and Environmental Research, 17(6), 13729-13748. (IF= 0.712)

,

2. Cheema, A. R., Firdous, S., & Ahmad, T. (2021). Estimating the Determinants of Female Labor Force Participation in Pakistan. International Journal of Disaster Recovery and Business Continuity Vol.12, No. 1, (2021), pp. 413–424

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3. Cheema, A. R., Firdous, S., Ahmad, T., & Imran, M. (2021). FAMILY PLANNING AND FERTILITY REDUCTION IN PAKISTAN. Ilkogretim Online, 20(5).

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4. Ahmad, T., Ahmad, I., Arshad, I. A., & Bianco, N. (2021). A comprehensive study on the Bayesian modeling of extreme rainfall: a case study from Pakistan. International Journal of Climatology. https://doi.org/10.1002/joc.7240 (IF= 4.069) 5. Noor, F., Masood, S., Sabar, Y., Shah, S., Ahmad, T., Abdollahi, A., & Sajid, A (2021). Bayesian Analysis of Cancer Data Using a 4-Component Exponential Mixture Model. Computational and Mathematical Methods in Medicine (Hindawi). https://doi.org/10.1155/2021/6289337 (IF=2.238)

Current Position:

Doctoral Student

allegato:
6496