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Muhammad Riaz

Muhammad Riaz

Professor

📍 5-332📞 7622✉️ riazm@kfupm.edu.sa🔗 Pure

Research Overview

Research interests include Statistical Process control, Non-Parametric Analysis, and Experimental Design.

Statistical Process control

Non-Parametric Analysis

Experimental Design

Applied Statistics

Mathematical Statistics

Education

MS
Quaid-i-Azam University
2001
PhD
University of Amsterdam
2008

Selected Publications

TitleJournalYear
Factorial ANOMC Tests: A Comparative Analysis of Type I Error and Power under Multifactor Experimental DesignsJournal of Statistical Theory and Applications2026
A simulation-based Bayesian multivariate adaptive EWMA framework with hybrid score functions for monitoring water qualityJournal of Statistical Computation and Simulation2026
On Approaching Normality Through Rectangular Distribution: Industrial Applications to Monitor Electron Gun and File Server ProcessesJournal of Statistical Theory and Applications2025
Memory control chart based on machine learning technique for efficient process monitoringComputers and Industrial Engineering2025
Navigating Process Drift: The Power of CUSUM in Monitoring Air Quality Processes and Maintenance OperationsArabian Journal for Science and Engineering2025
Robust Multivariate Dispersion Charts for Quality Control: Application to Sulfur Dioxide MonitoringJournal of Chemometrics2025
Advanced real-time monitoring techniques for high-dimensional data streams in industrial two-sample analysisProduction Engineering2025
Exploring mixture estimators in stratified random samplingPLoS ONE2024
Unifying mortality forecasting model: an investigation of the COM–Poisson distribution in the GAS model for improved projectionsLifetime Data Analysis2024
A novel adaptive CUSUM system for efficient process mean monitoring: An application in piston ring manufacturing processAlexandria Engineering Journal2024
Detecting outliers in the multivariate control charts for dispersion monitoringQuality and Reliability Engineering International2024
Designing Bayesian paradigm-based CUSUM scheme for monitoring shape parameter of the Inverse Gaussian distributionComputers and Industrial Engineering2024
Integration of hybrid score functions to design new adaptive EWMA control chart to monitor the process mean shiftComputers and Industrial Engineering2023
An unbiased function-based Poisson adaptive EWMA control chart for monitoring range of shiftsQuality and Reliability Engineering International2023
Pretest and shrinkage estimation of the regression parameter vector of the marginal model with multinomial responsesStatistical Papers2023
STUDY THE EFFICIENCY OF JEAN BOURGEOIS PICHAT MODEL TO PREDICT INFANT MORTALITY COMPARED TO MACHINE LEARNING RANDOM FOREST50th International Conference on Computers and Industrial Engineering, CIE 2023: Sustainable Digital Transformation2023
On designing efficient memory-type charts using multiple auxiliary-informationJournal of Statistical Computation and Simulation2023
Reintegration of auxiliary information based control chartsComputers and Industrial Engineering2022
Adaptive Memory Control Charts Constructed on Generalized Likelihood Ratio Test to Monitor Process LocationArabian Journal for Science and Engineering2022
Adaptive CUSUM Location Control Charts Based on Score Functions: An Application in Semiconductor Wafer FieldArabian Journal for Science and Engineering2022

Graduate Students

PhD Students

MS Students

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Ishaq A. Raji
Robust dual memroy control charting schemes. (2015)
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Jimoh O. Ajadi
On efficient approaches to design univeriate and multivariate control charts for process monitoring (2015)
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Rashid Mehmood
On some efficient generalizations of shewhart charting schemes. (2015)
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Richard Osei-Aning
Monitoring of serially correlated and non-normal processes. (2015)
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Khalid S. Al- Ghamdi
Statistical approach for validating a laboratory analytical method. (2018)
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Mohamad Muhumad Mohamad
Current Master's student
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Abdul Muqtadir Ahmed
Current Master's student
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Grisdy Mahardikana
Current Master's student
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Feri Syamsudin Pakiah
Current Master's student

Courses Taught

Office Hours

Office hours are not currently available. Please use the email contact for the latest schedule.
Please contact the faculty member by email for the latest office hours.

Undergraduate

MATH 101Calculus IMATH 102Calculus IISTAT 201Prob. & Stats for Engr & ScienSTAT 310Regression AnalysisSTAT 413Statistical Modeling

Graduate

STAT 503Probability and Statistics for Data ScienceSTAT 511Applied Regression and Experimental DesignSTAT 530Design and Analysis of Expts.