Invitation to the 17th Lecture of IAS: Handling bad data for big data analysis
Dear All,
You are cordially invited to the 17th Lecture of the Institute for Advanced Study (IAS). Please find the event details below:
Topic: Handling bad data for big data analysis
Speaker: Professor Zidong Wang
Date: 2 April 2026 (Thursday)
Time: 15:00-16:30
Venue: CC126
Language: Chinese & English
Speaker Introduction:
Zidong Wang is currently a Chair Professor at Brunel University London, UK, a Fellow of the European Academy of Sciences, a Fellow of the European Academy of Sciences and Arts, an IEEE Fellow, and the Editor-in-Chief of Neurocomputing, International Journal of Systems Science, Systems Science & Control Engineering, as well as International Journal of Network Dynamics and Intelligence. For many years, he has been engaged in research in control theory, machine learning, and bioinformatics, and has published a number of international papers in SCI-indexed journals with an H-index of 158. He is a holder of major research grants from the UK and the European Union.
Abstract:
In this talk, we discuss another side of big data analysis, bad data analysis, where the badness means the complexities resulting in the reproducibility issues. Some background knowledge is first introduced on the volatility of the big data analysis, which shows 1) "big" does not necessarily mean "better" and 2) the so-called multi-objective data analysis (against badness) is vitally important in advancing the state-of-the-art. Two examples are used for demonstration of the big data analysis, one for big data from complex networks and the other for big data from gene expression image processing. Finally, conclusions are drawn and some future directions are pointed out.
We look forward to your presence at this lecture.
If you have any questions, please feel free to contact Ms. Lily Yang (3677014 / ias@bnbu.edu.cn).
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Best Regards,
Beijing Normal-Hong Kong Baptist University (BNBU)
Institute for Advanced Study
Tel：3677014