Zeeshan PERVEZ

Academic, Professor, Professor

University of the West of Scotland OLD

United Kingdom

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Dr. Zeeshan Pervez is a Professor at the University of the West of Scotland in the United Kingdom. His research focuses on data governance models for smart cities, urban data governance, and the socioeconomic factors affecting graduate salaries, utilizing machine learning methodologies. He has also explored innovative solutions in digital twin management and blockchain technology, particularly in enhancing security and service architecture for mobile internet applications.

Articles (14)

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2025

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2025

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2025

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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SOUTH KOREA

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William Sayers

Associate Head of School, Outreach and Engagement

University of Gloucestershire

UNITED KINGDOM

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Hitesh Tewari

Assistant Professor

Trinity College Dublin

IRELAND

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Bhupesh Mishra

Lecturer

University of Hull

UNITED KINGDOM

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Masood Ur-Rehman

Assistant Professor

University of Glasgow

UNITED KINGDOM

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Zeeshan PERVEZ

Research Interests

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Contact this professor

About

Articles (14)

Assessing data governance models for smart cities

Unveiling the Impact of Socioeconomic and Demographic Factors on Graduate Salaries: A Machine Learning Explanatory Analytical Approach Using Higher Education Statistical Agency Data

Development and evaluation of an urban data governance reference model based on design science research

Enabling Trust and Security in Digital Twin Management: A Blockchain-Based Approach with Ethereum and IPFS

Blockchain-Enabled NextGen Service Architecture for Mobile Internet Offload

SIGNED: Smart cIty diGital twiN vErifiable Data Framework

Toward urban data governance

Blockchain-Based Secure Authentication with Improved Performance for Fog Computing

A multi-objective evolutionary optimisation model for heterogeneous vehicles routing and relief items scheduling in humanitarian crises

Dynamic Relief Items Distribution Model with Sliding Time Window in the Post-Disaster Environment

Securing Fog Computing with a Decentralised User Authentication Approach Based on Blockchain

Estimation and Interpretation of Machine Learning Models with Customized Surrogate Model

Impact of IoT on Manufacturing Industry 4.0: A New Triangular Systematic Review

When the timeline meets the pipeline

Collaborators (12)

Shahid Mahmood Awan

SHEHZAD AHMED

Muhammad Azmat

Zaheer Khan

Naeem Ramzan

Raman Singh

Keshav Dahal

Tae-Eung Sung

William Sayers

Hitesh Tewari

Bhupesh Mishra

Masood Ur-Rehman

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