Dr Muhammad Bilal

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  • Qualifications:PhD, MSc, BSc
  • Position:Associate Professor of Big Data and Artificial Intelligence
  • Department:Faculty of Business and Law (FBL)
  • Telephone:+4411732 84253

About me

Dr Muhammad Bilal is Associate Professor of Big Data and Artificial Intelligence (AI) at Big Data Laboratory, University of the West of England (UWE), Bristol. He holds a PhD in Big Data Analytics from UWE, Bristol. During his PhD, he developed a simulation platform for UK largest construction firm (Balfour Beatty) in which hybrid AI models (i.e. Tabular, Vision and Sequence) were operationalised in conjunction with Big Data, Scientific Visualisation, and GIS for automating non-trivial planning and execution tasks in Megaprojects. Dr Bilal has multi-disciplinary research interests that span across fields of Construction Informatics, Digital Health, Image Processing, Scientific Visualisation, AI, Computer Vision, Natural Language Processing, Geospatial Analysis & Mining and Web-of-Data technologies. His inclination in these areas & technologies is for solving critical real-life problems related to workers’ productivity and efficiency through disruptive innovations and digital transformations. He has also led the development of several large-scale software solutions pertaining to financials and healthcare (PACS & radiology). Dr Bilal has vast expertise in designing and executing collaborative research & development projects. So far, he has completed R&D projects of £3.7 Million at Big Data Lab in collaboration with leading UK businesses. Currently, Dr Bilal is leading Real-Time Emissions Sensing (REVIS) project (£1.79 Million) that involves IoT, GIS, Big Data, Stream Analytics and Advanced Visualisations. He has also authored more than 50 research articles at high-impact journals and international conferences.

Area of expertise

Big Data, Artificial Intelligence, Computer Vision, Image Processing, NLP, Optimisation, Python, SQL/PLSQL and Enterprise Java


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