This symposium is intended to give an opportunity for graduate students and young researchers of Waseda university to know the advanced research topics in the field of data analytics. In this symposium, Prof. Fugee Tsung, the Hong Kong University of Science and Technology (HKUST), will give the keynote speech “Quality Big Data” and the research team members of the Quality and Data Analytics Laboratory will make presentations of their research topics.
Prof. Tsung is a Chair Professor of the Department of Industrial Engineering and Decision Analytics (IEDA) at HKUST, where he leads the Quality and Data Analytics Lab. Prof. Tsung has a proven record of academic leadership and has also a strong research record in the area of Quality and Data Analytics.
We hope many young researchers and students will join this symposium and obtain fresh inspiration for advanced data analytics from the speeches and discussions towards future researches.
- Time
14:00～17:20, Jan.8, 2020 - Venue
Ono Auditorium (Bldg 27 BF1)
- Organizers
Development of Data Analysis Talents (D-DATa) [ https://d-data.jp/ ]
Center for Data Science, Waseda University [ https://www.waseda.jp/inst/cds/ ]
Program
14:00 Opening remarks
– Director Toshiyasu Matsushima (Center for Data Science, Waseda Univ.)
14:05 Keynote lecture
Quality Big Data
– Prof. Fugee Tsung (Hong Kong Univ. of Science & Technology)
15:15 Short speech
Structured Functional Principal Component Analysis for Multivariate Profile Data
– Dr. Kai Wang (Hong Kong Univ. of Science & Technology)
15:45 Student collaboration session
A Statistical Transfer Learning Approach to Improve Passenger Inflow Forecasts
– Mr. Zhenli Song (Hong Kong Univ. of Science & Technology)
Tensor Completion for Weakly-dependent Data on Graph for Metro Passenger Flow Prediction
– Mr. Ziyue LI (Hong Kong Univ. of Science & Technology)
Customer Satisfaction Monitoring through Integrating Online and Offline Data
– Ms. Yinghui Huang (Hong Kong Univ. of Science & Technology)
An analytical model of employees’ communication data on a chat system based on topic models
– Ms. Ayako Yamagiwa (Waseda Univ.)
A Bayesian Decision-Theoretic Change-Point Detection for i.p.i.d. Sources
– Mr. Kairi SUZUKI (Waseda Univ.)
17:15 Closing remarks
– Prof. Manabu Kobayashi (Center for Data Science, Waseda Univ.)
Registration
- For registration, visit https://bit.ly/2qSqhr0
- Deadline is 12:00 on Jan.7
Inquiries
Center for Data Science, Waseda University
早稲田大学データ科学総合研究教育センター
E-mail: [email protected]
Tel: 03-3204-9164
flyer:
https://www.waseda.jp/inst/cds/assets/uploads/2019/11/0108sympo_1225.pdf
