Shuo Wang is a lecturer at School of Computing and Digital Technology, Birmingham City University (UK), and also an Honorary Research Fellow at the School of Computer Science, the University of Birmingham (UK). She received the Ph.D. degree in Computer Science from the University of Birmingham, U.K., in 2011, sponsored by the Overseas Research Students Award (ORSAS) from the British Government (2007). She has been involved in two EPSRC-funded projects and three EU-funded projects. Her research interests include class imbalance learning, ensemble learning, online learning and machine learning in software engineering and social media analysis. Her work has been published in internationally renowned journals and conferences, such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Neural Networks and Learning Systems, and International Joint Conference on Artificial Intelligence (IJCAI). Her leading research on multi-class imbalance problems and tackling class imbalance in software defect prediction published in 2012 and 2013 have received over 200 citations.
Among other roles, she successfully organized and chaired the first workshop on learning in the presence of class imbalance and concept drift, IJCAI’17; she is the guest editor for the Neurocomputing on Learning in the Presence of Class Imbalance and Concept Drift, and the guest editor for the Connection Science on Learning from Data Streams and Class Imbalance. A tutorial on Learning Class Imbalanced Data Streams was given at IEEE World Congress on Computational Intelligence (WCCI), Rio de Janeiro, Brazil, 2018.