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Nasir Abbas

Nasir Abbas

Associate Professor

📍 5-333📞 4485✉️ nasirabbas@kfupm.edu.sa🔗 Pure

Research Overview

Research interests include Statistical Quality Control, Non-parametric statistics, and Bayesian quality control.

Statistical Quality Control

Non-parametric statistics

Bayesian quality control

Robust process monitoring

Education

MS
Information not available
Default
PhD
University of Amsterdam, The Netherlands
2012

Selected Publications

TitleJournalYear
An XGBoost-optimized conditional aggregate mean chart for enhanced air-quality surveillanceEnvironmental and Ecological Statistics2026
On Approaching Normality Through Rectangular Distribution: Industrial Applications to Monitor Electron Gun and File Server ProcessesJournal of Statistical Theory and Applications2025
Deep learning-based mortality surveillance: implications for healthcare policy and practice: Deep learning-based mortality surveillance: implications..: S. A. Rakhmawan et al.Journal of Population Research2025
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
Unifying mortality forecasting model: an investigation of the COM–Poisson distribution in the GAS model for improved projectionsLifetime Data Analysis2024
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
High-dimensional control charts with application to surveillance of grease damage in bearings of wind turbinesProduction and Manufacturing Research2024
Enhanced Dispersion Monitoring Structures Based on Modified Successive Sampling: Application to Fertilizer Production ProcessSymmetry2023
Hotelling T<sup>2</sup> Control Chart for Detecting Changes in Mortality Models Based on Machine-Learning Decision TreeMathematics2023
Response to the letter by Professors Woodall and KnothQuality Engineering2023
On efficient change point detection using a step cumulative sum control chartQuality Engineering2023
ON ENHANCED ANALYSIS OF MEANS USING COVARIATES50th International Conference on Computers and Industrial Engineering, CIE 2023: Sustainable Digital Transformation2023
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
Progressive mean as a special case of exponentially weighted moving average: DiscussionQuality and Reliability Engineering International2022
On designing an assorted control charting approach to monitor process dispersion: an application to hard-bake processJournal of Taibah University for Science2020
Asymptotically Unbiased Estimation of Mean and Standard Deviation in the Presence of Outlying ErrorsIEEE Access2020

Graduate Students

PhD Students

MS Students

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Rakhmawan, S.
Revealing and confirming substantial cohort changes in mortality modelling: the use of multivariate control chart and machine learning (2023)
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Raji, I.
Robust dual memroy control charting schemes. (2015)
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Salsabeel Ayoub
Current Master's student

Courses Taught

Office Hours (Term-251):

Sunday
3:25-4:55PM
Tuesday
3:25-4:55PM
Remarks
Sunday and Tuesday, 1:45- 2:00PM in 76-1131
Sunday and Tuesday, 1:45- 2:00PM in 76-1131

Undergraduate

STAT 301Introduction to Probability TheorySTAT 319Probability and Statistics for Engineers and Scientists

Graduate

STAT 502Statistical InferenceSTAT 510RegressionSTAT 513Statistical ModelingSTAT 599Seminar