Dr Xilu Wang
ResearchResearch interests
My main area of interest is Data-driven Optimization, Artificial Intelligence, and Machine Learning. My research focus lies
in the development and application of concepts and algorithms of fair, privacy-preserving, and trustworthy machine learning
and data-driven optimization. Topics in this area include:
• Multi-objective optimization
• Data-driven optimization and Bayesian optimization
• Evolutionary Machine Learning: neural architecture search, transfer learning
• Trustworthy AI: fair and federated optimization
Research interests
My main area of interest is Data-driven Optimization, Artificial Intelligence, and Machine Learning. My research focus lies
in the development and application of concepts and algorithms of fair, privacy-preserving, and trustworthy machine learning
and data-driven optimization. Topics in this area include:
• Multi-objective optimization
• Data-driven optimization and Bayesian optimization
• Evolutionary Machine Learning: neural architecture search, transfer learning
• Trustworthy AI: fair and federated optimization
Supervision
Postgraduate research supervision
Completed postgraduate research projects I have supervised
Abel Alexander University of Surrey
“A comparative study of Bayesian algorithms on expensive optimization” September 2021-September 2022
• Distinction, Master student.
• He currently works in Bank of America.
Adrian Kruse Bielefeld University
“Bayesian Multi-objective Evolutionary Optimization, Bielefeld University” January 2023-September 2023
• Bachelor student.
Scheu Louis Lamar Bielefeld University
“Federated learning in objective detection” September 2023-Ongoing
• Master student.