Dr Peng Xu
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Email
peng.xu@essex.ac.uk -
Telephone
+44 (0) 1702 328438
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Location
GB.4.72, Southend Campus
Profile
Biography
I'm a Lecturer (Assistant Professor) in Business Analytics with the Strategy, Operations and Entrepreneurship (SOE) group at Essex Business School (EBS) of University of Essex - Southend Campus. My primary research fields are management science, operations research, and business analytics. In particular, I'm interested in data-driven decision analytics and developing decision support models and systems with data science and mathematical optimization techniques to solve production, operations management, economics, finance, and healthcare problems.
Qualifications
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Doctor of Science (D.Sc.) in Management Science Aalto University, (2022)
Appointments
University of Essex
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Lecturer (Assistant Professor) in Business Analytics, Strategy, Operations and Entrepreneurship (SOE), University of Essex (10/6/2022 - present)
Research and professional activities
Research interests
Data-Driven Decision Analytics
Decision Support Models and Systems
Behavioral Decision Analysis
Finance and Risk Management
Incomplete Risk Preferences & Probability Information
Production and Operations Management
Teaching and supervision
Current teaching responsibilities
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Introduction to Business Analytics (BE223)
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Applied Business Analytics and Decision Making (BE225)
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Professional and Academic Development 2 (BE906)
Publications
Publications (1)
Xu, P., (2022). New approaches for identifying robust dominating portfolios based on second-order stochastic dominance
Journal articles (2)
Korhonen, PJ., Wallenius, J., Genc, T. and Xu, P., (2021). On rational behavior in multi-attribute riskless choice. European Journal of Operational Research. 288 (1), 331-342
Liesiö, J., Xu, P. and Kuosmanen, T., (2020). Portfolio diversification based on stochastic dominance under incomplete probability information. European Journal of Operational Research. 286 (2), 755-768
Conferences (1)
Sinha, A., Malo, P., Xu, P. and Deb, K., (2014). A bilevel optimization approach to automated parameter tuning
Grants and funding
2024
Resilient Healthcare Supply Chain Management through Risk-Seeking Decision Making: A Multi-Method Research Project
British Academy
