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Dr. Faraz Malik Awan
Senior EV Data Scientist
Zenobē Energy Ltd🔋
faraz.awan@zenobe.com (Professional)
faraz.awan0406@gmail.com (Personal)
Google Scholars|ORCID|LinkedIn|CV (Last updated on January 2025)
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Glencoe, Scotland
Dr. Faraz Awan is a Senior EV Data Scientist at Zenobē 🔋, where he supports electric vehicle fleet operations. 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 and Intelligent Transportation Systems. 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 Data Scientist at the Urban Big Data Centre in Glasgow, focusing on data engineering, geospatial analysis, and developing ML models for predictive and recommendation systems for Urban Mobility. He previously held a Research Fellow position at the University of Leeds, where he led data analysis and AI-based solutions for deliberative democracy projects in Switzerland, and served as a Research Engineer at Telecom SudParis during his Ph.D. He also gained early experience as a Software Engineer with Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) in Pakistan.
His research interests span Intelligent Transport Systems, Smart Cities, Machine Learning, Deep Learning, IoT, Data Analytics, Energy, and Renewable Technologies.
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