Workshop on Learning in the Presence of Class Imbalance and Concept Drift


Organizers

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  • Shuo Wang - University of Birmingham, UK. Shuo Wang is a Research Fellow at the Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA) in the School of Computer Science, the University of Birmingham (UK). She received the B.Sc. degree in Computer Science from the Beijing University of Technology (BJUT), China, in 2006, and was a member of Embedded Software and System Institute in BJUT in 2007. 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 2 EPSRC-funded projects and 2 EU-funded projects. She is currently a project theme leader of EPSRC-funded project DAASE. Her research interests include class imbalance learning, ensemble learning, online learning and machine learning in software engineering. Her work has been published in internationally renowned journals and conferences, such as IEEE Transactions on Knowledge and Data Engineering and International Joint Conference on Artificial Intelligence 2016.

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  • Leandro L. Minku - University of Leicester, UK. Leandro L. Minku is a Lecturer (Assistant Professor) at the Department of Computer Science, University of Leicester (UK). Prior to that, he was a research fellow at the University of Birmingham (UK) for five years. He received the PhD degree in Computer Science from the University of Birmingham (UK) in 2010. During his PhD, he was the recipient of the Overseas Research Students Award (ORSAS) from the British government. He was also invited to a 6-month internship at Google in 2009/2010. Dr. Minku's main research interests are machine learning in non-stationary environments / data stream mining, ensembles of learning machines, and applications of these to software engineering. His work has been published in internationally renowned journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering, ACM Transactions on Software Engineering and Methodology, and Neural Networks. His papers on ensemble diversity for dealing with non-stationary environments published in 2010 and 2012 have 196 and 138 citations, respectively. Dr. Minku has been invited to give 16 talks, including keynotes and tutorials. Among other roles, he is a member of the steering committee for the International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE), was the PC Chair for this conference in 2015, was the co-chair for the challenge track of the Symposium on Search-Based Software Engineering (SSBSE'2015-2016); is the chair for the IEEE CIS Webinars Subcommittee, and is a conference correspondent for IEEE Software.

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  • Nitesh Chawla - University of Notre Dame, US. Nitesh Chawla is the Frank M. Freimann Professor of Computer Science and Engineering, and director of the research center on network and data sciences (iCeNSA) and the Data Inference Analytics and Learning Lab (DIAL) at the University of Notre Dame. He has published over 180 papers with over 10,600 citations and has an h-index of 40. His research is focused on data science, machine learning, and network science. His work has also led to transformative interdisciplinary applications in healthcare, environmental and climate sciences, education, and national security. He has received numerous awards for research, scholarship and teaching. He is the recipient of the 2015 IEEE CIS Outstanding Early Career Award; the IBM Watson Faculty Award, the IBM Big Data and Analytics Faculty Award, and National Academy of Engineering New Faculty Fellowship. His work was also noted in PSFK Future of Health Innovation. His PhD dissertation also received the Outstanding Dissertation Award. He was a two-time recipient of the Outstanding Teaching Award at Notre Dame. In recognition of the societal and community driven impact of his research, he was recognized with the Rodney Ganey Award and Michiana 40 Under 40. He is a Fellow of the Reilly Center for Science, Technology, and Values; Fellow of the Institute of Asia and Asian Studies; and Fellow of the Kroc Institute for International Peace Studies at Notre Dame. He is the founder of Aunalytics, a data science software company.

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  • Xin Yao - University of Birmingham, UK. Xin Yao is a Chair Professor of Computer Science at the Southern University of Science and Technology (SUSTech) in Shenzhen, China, and at the University of Birmingham, UK. He is an IEEE Fellow and a Distinguished Lecturer of IEEE Computational Intelligence Society (CIS). He previously served as the Editor-in-Chief (2003-08) of IEEE Transactions on Evolutionary Computation and the President (2014-15) of IEEE CIS. His main research interests include evolutionary computation and ensemble learning, especially online ensemble learning and class imbalance learning, and their applications in software engineering and fault diagnosis. His papers won the 2001 IEEE Donald G. Fink Prize Paper Award, 2010 and 2015 IEEE Transactions on Evolutionary Computation Outstanding Paper Awards, 2010 BT Gordon Radley Award for Best Author of Innovation (Finalist), 2011 IEEE Transactions on Neural Networks Outstanding Paper Award, and many other best paper awards. He won the prestigious Royal Society Wolfson Research Merit Award in 2012 and the IEEE CIS Evolutionary Computation Pioneer Award in 2013. Over the years, he has collaborated with many industrial partners in his research, including Honda, BT, Thales, Marconi Communications, IBM, Unilever, STMicroelectronics, GSK, Rolls Royce, etc.