Biography
Dr. Muhammad Asif
Dr. Muhammad Asif
University of Malakand, Pakistan
Biography: 

Dr. Muhammad Asif is working as an Assistant Professor, Department of Statistics, University of Malakand (a public sector university in Pakistan, www.uom.edu.pk). Muhammad was awarded Ph.D. in Mathematics (Statistics and Operational Research) by the University of Salford, UK in July 2013. His thesis was entitled as Statistical Modelling in Limited Overs International Cricket. Moreover, Asif was awarded MSc in Statistics in the year 2005 from University of Peshawar, Pakistan.


Muhammad research interest and contribution in literature is in Statistical modelling in the game of Cricket. For example, during his doctoral course under the Supervision of the Dr. Ian McHale at the University of Salford, UK, he developed statistical models that highlight various issues related to the game of cricket. For example, he developed a new model for the Duckworth-Lewis method to reset targets in interrupted cricket matches. This work was published in European Journal of Operation Research. Apart from this, he also developed forecasting models to forecast the match outcome in-play. In this research project Muhammad developed dynamic models in a sense that the parameters of underline logistic model vary with respect to the progression of the game. This work was published in the International Journal of Forecasting and awarded the Best Research Paper Award 2015/16 by the Higher Education Commission, Government of Pakistan.


In addition to producing research in Centre for Sports Business, University of Salford, UK, Muhammad also developed in-play pricing models for BuzzSports Ltd, Leeds, UK. The models forecast the outcome on the next ball of the game. Moreover, recently Muhammad have developed a Generalized Non-Linear Model (GNLM) for Limited Overs International Cricket (LOI). The GNLM may be used to resolve various issue related to the LOI game of cricket. For example, estimating margin of victory of winning team batting in the second innings, estimating teams and players ratings, and revising targets. Some of this work is published in the Math Sport 2017 conference proceedings held in Italy, whilst the whole work will soon appear in the International Journal of Forecasting.