PhD Supervision Opportunities

Data Science (Data Wrangling Tools and Techniques, Domain-Specific Analytic Guidance Tools and Techniques)

Requirements Engineering (Methods and Tools for Data Scientists)

Business-IT Alignment (Methods and Tools for Operational/Process Alignment)

Privacy by Design Methods - https://www.mbs.ac.uk/study/phd/funding/

Dr Pedro Sampaio is a Senior Lecturer (Associate Professor) in Information Systems and Data Science, and a former business technology consultant of McKinsey & Company. Dr Sampaio has published extensively in the fields of Data Science, Information Privacy & Security, Industry 4.0 and Data Quality Management. He has also developed Knowledge Reports for McKinsey & Company's Internal Knowledge Research Practice.

Dr Sampaio has led and participated in research/consulting projects involving academic and business organizations in the United Kingdom, Continental Europe, Latin America and the United States in the Telecom, Banking and IT industries. Dr. Sampaio's research has been funded by the European Commission (H2020 and FP7) Programmes, Innovate UK, EPSRC (Case Award), SMEs in the United Kingdom and by Brazil's National Research Council (CNPq), Brazil's Special Training Programme (PET/CAPES) and Sao Paulo's State Research Council (FAPESP). Dr. Sampaio has acted as an academic partner to IBM/UK developing joint teaching initiatives between IBM/UK and the University of Manchester. Dr. Sampaio has acted as Programme Committee member of more than 10 international conference/workshops in Information Systems related areas, published several international peer-reviewed journal and conference papers and supervised 10 successful Ph.D. students. Dr Sampaio holds a Doctor of Philosophy degree in Computer Science from The University of Manchester.

Dr Sampaio is involved in research projects in the following areas: Factories of the Future - H2020 - Decentralised Agile Coordination Across Supply Chains (DIGICOR), Big Data Analytics (Alliance MBS Big Data Forum), Cloud Computing (Eco2Clouds, TEOS), Requirements Engineering Methods for Business/IT Alignment (REFINTO) and Financial Fraud Detection Systems (FFML). Dr. Sampaio's current research interests are:

• Data Science, Data Wrangling and Data Quality-Aware Information Management.
• Industry 4.0 Platforms, Information Privacy and Digital Governance
• Application of Artificial Intelligence Techniques (Rule-Based Expert Systems, Deep Learning) for Business
• Requirements Engineering and Business/IT Alignment