On May 16, 2017, at the invitation of Dean Bin Hu, Professor Xiaohua Tony Hu of Drexel University in the United States brought a report entitled “Big Data Analysis and Mining in Microbiome” to the teachers and students of the Academy of Information, in Room 406 of Feiyun Building, Vice President Zhixin Ma presided over this academic report. All the teachers and graduate students of the laboratory participated in the report.
      Professor Xiaohua Tony Hu first talked about the significance of big data research in the microbial group and the opportunities and challenges facing the academic community from the background of microbiology. Next, he introduced the current status and results of big data research in the microbial group, focusing on how to mine and integrate data and how to visualize the data. After the introduction of the main content, he had a heated discussion with the teachers and students on the issues related to big data.
      Professor Xiaohua Tony Hu’s wonderful report won the warm applause of the teachers and students, and more importantly, it further stimulated the thinking of teachers and students on the status quo and development of big data and interdisciplinary. Through this report, the teachers and students have enriched their professional knowledge and broadened their academic horizons, clarifying the direction of future study and research.
      Attachment: Introduction to Xiaohua Tony Hu
      Professor Hu Xiaohua is the founder of the “Data Mining and Bioinformatics Laboratory” (the third in the US) of the School of Information Science and Technology at Drexel University, and the Chairman of the Bioinformatics and Biomedical Committee of the IEEE Computer Society. Chairman of the Big Data Steering Committee, Chairman of the Granular Computing Committee. In 2006, he founded the International Journal of Data Mining and Bioinformatics (SCI Search). In 2008, he founded the International Journal of Granular Computing, Rough Sets and Artificial Intelligence. In 2001, he founded the software company DMW in Silicon Valley. In the early days, he did research at Nortel Networks Research Center, GTE Lab and HP Lab. Professor Hu has extensive experience in translating theoretical results into commercial applications, such as using data mining techniques to prevent fraud and database marketing.
      Professor Hu’s current research areas are: data/text/web mining, bioinformatics, information retrieval and extraction, social network analysis, medical health informatics, rough set theory and applications.

Writer: Li Rui