د. وليد خلف المطيري

العلوم

العلوم

أستاذ مساعد

د. وليد خلف المطيري

Basic Information
  • Technical Skills: • Understanding of data analysis to effectively analyze and interpret findings in a way that makes sense to end users. • Skilled in Data-driven decision-making. • Reviewing and extracting critical components of data in an intellectual and vigilant way. • Excellent in performing and developing models for fitting such big data as well as reporting findings for various prediction scenarios. • Able to effectively review and evaluate statistical work with added valuable feedback for work improvement. Interpersonal Skills: • Good interpersonal and communication skills, team oriented. • Able to work in diverse situations, groups, and surroundings. • Excellent time-management skills. • Ability to multitask in a fast-paced environment, self-motivated, and adaptable. • Approaching difficulties with a can-do attitude. • Problem solving. • Punctuality, responsibility, and reliability in work performance. Software Skills: • Statistical Programming Languages: o Professional in: R (Author and maintainer of: EpiILM and EpiILMCT packages.), SPSS, Fortran, OpenMP, and MPI. o Intermediate in: Python, C, and C++ • Others: o Professional in: Microsoft Power BI, Tableau, LaTeX, Microsoft Office, Git, and GitHub.
  • أستاذ مساعد

CV

Qualifications
Qualification University/College name major minor(1) minor(2) Country Graduation year
دكتوراه Guelph University العلوم إحصاء Canada 2018
ماجستير Lancaster University العلوم إحصاء England 2010
بكالوريوس Qassim University العلوم رياضيات Saudi Arabia 2002
  • Qualification

    دكتوراه

  • University/College name

    Guelph University

  • major

    العلوم

  • minor(1)

    إحصاء

  • minor(2)

  • Country

    Canada

  • Graduation year

    2018

  • Qualification

    ماجستير

  • University/College name

    Lancaster University

  • major

    العلوم

  • minor(1)

    إحصاء

  • minor(2)

  • Country

    England

  • Graduation year

    2010

  • Qualification

    بكالوريوس

  • University/College name

    Qassim University

  • major

    العلوم

  • minor(1)

    رياضيات

  • minor(2)

  • Country

    Saudi Arabia

  • Graduation year

    2002

Work Experinces
# Work experience Date From Date To
9787 Assistant Professor of Applied Statistics 2018 حتى الآن
9788 A lecturer of Statistics 2010 2018
9789 An assistant lecturer of Statistics and Mathematics 2003 2010
9790 A teacher of Mathematics 2002 2003
  • Work experience

    Assistant Professor of Applied Statistics

  • Date From
    2018
  • Date To
    حتى الآن
  • Work experience

    A lecturer of Statistics

  • Date From
    2010
  • Date To
    2018
  • Work experience

    An assistant lecturer of Statistics and Mathematics

  • Date From
    2003
  • Date To
    2010
  • Work experience

    A teacher of Mathematics

  • Date From
    2002
  • Date To
    2003
Published work
Title
Almutiry, W., & Deardon, R. (2020). Incorporating contact network uncertainty in individual level models of infectious disease using approximate Bayesian computation. The international journal of biostatistics, 16(1).
Almutiry, W., KV, V. W., & Deardon, R. (2021). Continuous Time Individual-Level Models of Infectious Disease: Package EpiILMCT. Journal of Statistical Software, 98, 1-44.
Almutiry, W., & Deardon, R. (2021). Contact network uncertainty in individual level models of infectious disease transmission. Statistical Communications in Infectious Diseases, 13(1).
Otmani, S., Boulaaras, S., & Almutiry, W. (2020). The maximum norm analysis of a nonmatching grids method for a class of parabolic biharmonic equation with mixed boundary condition. Journal of Intelligent & Fuzzy Systems, 38(3), 2551-2560.
KV, V. W., Almutiry, W., & Deardon, R. (2020). Individual-Level Modelling of Infectious Disease Data: EpiILM. R Journal, 12(1).
Alshammari, S. M., Almutiry, W. K., Gwalani, H., Algarni, S. M., & Saeedi, K. (2021). Measuring the impact of suspending Umrah, a global mass gathering in Saudi Arabia on the COVID-19 pandemic. Computational and Mathematical Organization Theory, 1-26. https://doi.org/10.1007/s10588-021-09343-y
Abdullah Ali H. Ahmadini, Amara Javed, Sohail Akhtar, Christophe Chesneau, Farrukh Jamal, Shokrya S. Alshqaq, Mohammed Elgarhy, Sanaa Al-Marzouki, M. H. Tahir, Waleed Almutiry, "Robust Assessing the Lifetime Performance of Products with Inverse Gaussian Distribution in Bayesian and Classical Setup", Mathematical Problems in Engineering, vol. 2021, Article ID 4582958, 9 pages, 2021. https://doi.org/10.1155/2021/4582958
Waleed Almutiry, "Inverted Length-Biased Exponential Model: Statistical Inference and Modeling", Journal of Mathematics, vol. 2021, Article ID 1980480, 8 pages, 2021. https://doi.org/10.1155/2021/1980480
M. Shrahili, I. Elbatal, Waleed Almutiry, Mohammed Elgarhy, "Estimation of Sine Inverse Exponential Model under Censored Schemes", Journal of Mathematics, vol. 2021, Article ID 7330385, 9 pages, 2021. https://doi.org/10.1155/2021/7330385
  • Title

    Almutiry, W., & Deardon, R. (2020). Incorporating contact network uncertainty in individual level models of infectious disease using approximate Bayesian computation. The international journal of biostatistics, 16(1).

  • Title

    Almutiry, W., KV, V. W., & Deardon, R. (2021). Continuous Time Individual-Level Models of Infectious Disease: Package EpiILMCT. Journal of Statistical Software, 98, 1-44.

  • Title

    Almutiry, W., & Deardon, R. (2021). Contact network uncertainty in individual level models of infectious disease transmission. Statistical Communications in Infectious Diseases, 13(1).

  • Title

    Otmani, S., Boulaaras, S., & Almutiry, W. (2020). The maximum norm analysis of a nonmatching grids method for a class of parabolic biharmonic equation with mixed boundary condition. Journal of Intelligent & Fuzzy Systems, 38(3), 2551-2560.

  • Title

    KV, V. W., Almutiry, W., & Deardon, R. (2020). Individual-Level Modelling of Infectious Disease Data: EpiILM. R Journal, 12(1).

  • Title

    Alshammari, S. M., Almutiry, W. K., Gwalani, H., Algarni, S. M., & Saeedi, K. (2021). Measuring the impact of suspending Umrah, a global mass gathering in Saudi Arabia on the COVID-19 pandemic. Computational and Mathematical Organization Theory, 1-26. https://doi.org/10.1007/s10588-021-09343-y

  • Title

    Abdullah Ali H. Ahmadini, Amara Javed, Sohail Akhtar, Christophe Chesneau, Farrukh Jamal, Shokrya S. Alshqaq, Mohammed Elgarhy, Sanaa Al-Marzouki, M. H. Tahir, Waleed Almutiry, "Robust Assessing the Lifetime Performance of Products with Inverse Gaussian Distribution in Bayesian and Classical Setup", Mathematical Problems in Engineering, vol. 2021, Article ID 4582958, 9 pages, 2021. https://doi.org/10.1155/2021/4582958

  • Title

    Waleed Almutiry, "Inverted Length-Biased Exponential Model: Statistical Inference and Modeling", Journal of Mathematics, vol. 2021, Article ID 1980480, 8 pages, 2021. https://doi.org/10.1155/2021/1980480

  • Title

    M. Shrahili, I. Elbatal, Waleed Almutiry, Mohammed Elgarhy, "Estimation of Sine Inverse Exponential Model under Censored Schemes", Journal of Mathematics, vol. 2021, Article ID 7330385, 9 pages, 2021. https://doi.org/10.1155/2021/7330385