Khalid Salah

Dr. Khalid Salah is assistant professor of applied statistics at the Faculty of Science. He joined the faculty
in 2002. He worked for more than ten years as a teacher of mathematics and computer science at YMCA
schools. Dr. Khalid headed the university’s Statistical and study unit from 2010 to 2016. He worked on
many statistical issues, most notably university statistics, organizing the statistical process between the
university and the Palestinian Ministry of Higher Education and the Palestinian Central Bureau of
Statistics. Dr. Khalid is currently working on the development of teaching statistics and biostatistics at the
university to keep pace with the scientific and technological progress in the world. He also contributed to
the development of many courses of statistics and biostatistics at the bachelor and master level, which he
teaches some of these courses.

Dr. Khalid is currently working in cooperation with the Department of Mathematics and the Deanship of
the Faculty of Science, and with a direct assignment from the university president, to establish the
“Jerusalem Center for Statistics”, which in turn will contribute and assist in most of the statistical work of
the university, staff, as well as students, especially graduate students.

It is worth mentioning that Dr. Khalid has been chosen as a referee for many international scientific
journal because of his research achievements in the fields of Applied Statistics, Biostatistics, and Applied

Mathematics including:

  • An Approximation of A longitudinal Stochastic Model, International Journal of Clinical
    Biostatistics and Biometrics, 5(1), (2019), ISSN: 2469-5831.
  •  On Maximum Likelihood Estimation of Mixed Cure Fraction Model Assuming Stable Distribution,
    International Journal of Tomography and Simulation, 34(2), (2021), ISSN: 2319-3336.
  •  Error Analysis For The Finite Element Approximation of Conductive-Radiative Model, European
    Journal of Scientific Research, Volume 11, No 2 November, 2005, 236-245
  •  A Semiparametric Joint Model for Longitudinal and Time-to-Event Univariate Data in Presence of
    Cure Fraction, European Journal of Scientific Research ISSN 1450-216X Vol.18 No.4 (2007),
    pp.707-729 © EuroJournals Publishing, Inc. 2007
  •  Cure Fraction, Modelling and Estimating in a Population-Based Cancer Survival Analysis,
    Malaysian Journal of Mathematical Sciences 2 (1): 113-134 (2008)
  •  Bayesian Approach for Joint Longitudinal and Time-to-Event Data with Survival Fraction,
    BULLETIN of the Malaysian Mathematical Sciences Society (2) 32(1) (2009), 75–100.
  •  A Stochastic Joint Model for Longitudinal and survival Data with Cure Patients, International
    Journal of Tomography & Statistics, Winter 2009, Vol. 11, No. W09.; 48-67; ISSN 0972-9976 (
    Print ); ISSN 0973-7294 (Online).
  •  An Approximation of A longitudinal Stochastic Model, International Journal of Clinical
    Biostatistics and Biometrics (2018), Revising

This was in addition to participating in many scientific conferences inside and outside the country.

The most recent was the scientific conference on mathematics and applied statistics, which was held at Birzeit
University, Ramallah, From 27-30 August 2018.

Dr. Khalid holds a PhD in applied statistics, which he received in 2007 from Putra University in
Malaysia, an MA in Applied Mathematics (2002) from Al Quds University, and a Bachelor’s Degree
(1989) from College of Science and Technology / Abu Dies.


Al-Quds University