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Dr. Faraz Malik Awan
Data Scientist
Urban Big Data Center, Glasgow, UK
farazmalik.awan@glasgow.ac.uk (Professional 1)
faraz.awan0406@gmail.com (Personal)
Google Scholars|ORCID|LinkedIn|CV (Last updated on January 2025)
Data Scientist
Urban Big Data Center, Glasgow, UK
farazmalik.awan@glasgow.ac.uk (Professional 1)
faraz.awan0406@gmail.com (Personal)
Google Scholars|ORCID|LinkedIn|CV (Last updated on January 2025)
Glencoe, Scotland
Dr. Faraz Awan is a Machine Learning Engineer and Data Scientist based in Glasgow, Scotland. He holds a Ph.D. from the Institut Polytechnique de Paris (IPP) and Telecom SudParis, where his research focused on AI-driven recommendation and prediction systems for Smart Cities. He has authored several peer-reviewed journal articles and a book chapter on Digital Twins and Artificial Intelligence.
Dr. Awan's publications primarily focus on applying AI solutions across various domains. His research includes AI-driven systems for Smart Cities, optimizing urban mobility and infrastructure, AI applications in social sciences to enhance decision-making and deliberative democracy, and AI-based methods for improving software engineering processes. These contributions provide valuable insights into leveraging AI for both practical urban challenges and complex social and technical systems.
Before his current role, Dr. Awan worked as a Research Fellow at the University of Leeds, where he led data analysis and developed AI-based solutions for deliberative democracy projects in Switzerland. He also served as a Research Engineer at Telecom SudParis in Paris, contributing to AI research during his Ph.D., and gained early experience as a Software Engineer with Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) in Pakistan.
Currently, Dr. Awan is a Data Scientist at the Urban Big Data Center in Glasgow, where he focuses on data engineering, geospatial analysis, and developing machine learning models for predictive and recommendation systems. His research interests span Intelligent Transport Systems, Smart Cities, Machine Learning, Deep Learning, IoT, and Data Analytics.