Tahir Mahmood

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Lecturer

University of the West of Scotland

United Kingdom

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About

Tahir Mahmood is a Lecturer at the University of the West of Scotland. His research areas include computational modeling, advanced monitoring techniques, and machine learning applications, as evidenced by his recent articles on fluid catalytic cracking units and real-time monitoring of high-dimensional data streams. He also focuses on innovative solutions for industrial process monitoring and ecotoxicology. With expertise in control charts and process dispersion, he contributes to enhancing efficiency in various industrial applications.

Recent Grants

Grant: Close

Fuel Cell and Battery Electric Vehicles – Enhancing Pathway Analysis for Future Transportation Systems

Open Date: 2024-04-01

Close Date: 2025-04-01

Grant: Close

Real-time Monitoring of High-Quality Processes

Open Date: 2022-06-01

Close Date: 2023-06-01

Grant: Close

Advanced Surveillance Methods in Era of Industry 4.0

Open Date: 2022-01-01

Close Date: 2022-11-01

Articles (17)

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2023

Collaborators (1)

Abdul Wasy ZIA

Heriot-Watt University

UNITED KINGDOM

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Tahir Mahmood

Research Interests

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Contact this professor

About

Recent Grants

Articles (17)

Predicting the hardness of diamond-like carbon coatings using machine learning and generative adversarial networks

Computational modeling of a Fluid Catalytic Cracking Unit

Advanced real-time monitoring techniques for high-dimensional data streams in industrial two-sample analysis

Improved EWMA and CUSUM charts under modified successive sampling for monitoring process dispersion

Smart monitoring solutions for real-time water pH regulation in aquatic ecotoxicology

On Approaching Normality Through Rectangular Distribution: Industrial Applications to Monitor Electron Gun and File Server Processes

High-dimensional control charts with application to surveillance of grease damage in bearings of wind turbines

Exploring mixture estimators in stratified random sampling

Navigating Process Drift: The Power of CUSUM in Monitoring Air Quality Processes and Maintenance Operations

Comprehensive review of high-dimensional monitoring methods: trends, insights, and interconnections

Surveillance of high‐yield processes using deep learning models

Generalized linear modelling based monitoring methods for air quality surveillance

Beta regression residuals-based control charts with different link functions: an application to the thermal power plants data

Shewhart ridge profiling for the Gamma response model

Performance of Alternative Estimators in the Poisson-Inverse Gaussian Regression Model: Simulation and Application

EWMA control charts to monitor energy output in combined cycle power plant

On moving average based location charts under modified successive sampling

Collaborators (1)

Abdul Wasy ZIA

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