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Speaker: Beng Chin Ooi (Distinguished Professor, National University of Singapore)
Title: What Can AI do for End-to-End Data Analytics? [ slack channel ]
Bio: Beng Chin is a Distinguished Professor of Computer Science and NGS faculty member at the National University of Singapore (NUS). He is an adjunct Chair Professor at Zhejiang University, a visiting Distinguished Professor at Tsinghua University, and the director of NUS AI Innovation and Commercialization Centre at Suzhou, China. He obtained his BSc (1st Class Honors) and PhD from Monash University, Australia, in 1985 and 1989 respectively. Beng Chin is a fellow of the ACM 2011, IEEE 2009, and Singapore National Academy of Science (SNAS) 2016. Beng Chin's research interests include database systems, distributed and blockchain systems, machine learning and large scale analytics, in the aspects of system architectures, performance issues, security, accuracy and correctness. He works closely with the industry (eg. National University Hospital, Jurong Health, Tan Tok Seng Hospital, Singapore General Hospital, KK Hospital on healthcare analytics and prediabetes prevention, and banks and investment firms on financial analytics), and exploits IT and technoogy such as 5G for disruption and innovation in various appplication domains, such as healthcare, finance and smart city. He initated Apache SINGA -- the first Apache Top Level Project on distributed deep learning. He has H-index of 82 and citations of 24,000+.

Beng Chin serves as a non-executive and independent director of ComfortDelgro (listed on SGX). He is a co-founder of yzBigData(2012) for Big Data Management and analytics, and Shentilium Technologies(2016) for AI- and data-driven Financial data analytics, Hangzhou MZH Technologies for Healthcare, and MediLot Technologies(2018) for blockchain based healthcare data management and analytics. He is a member of Hangzhou Government AI Development Committee (AI TOP 30) and Suzhou Industry Park AI Development Committee.

Beng Chin was the recipient of ACM SIGMOD 2009 Contributions award, a co-winner of the the recipient of 2012 IEEE Computer Society Kanai award, 2013 NUS Outstanding Researcher Award, 2014 IEEE TCDE CSEE Impact Award, 2016 China Computer Federation (CCF) Overseas Outstanding Contributions Award, and 2020 ACM SIGMOD EF Codd Innovations Award. He was a recipient of VLDB'14 and VLDB'19 Best Paper award, 2020 ACM SIGMOD Research Highlight Award.
Date: Monday, Apr. 12, 2021 (GMT+8 Taipei Time)
Time: 9:30 a.m. – 10:30 a.m.

Speaker: Jiawei Han (Michael Aiken Chair Professor, The University of Illinois at Urbana-Champaign)
Title: Transforming Unstructured Text into Structured Knowledge: A Text-Mining Approach
[ slack channel ]
Bio: Jiawei Han is a Professor in the Department of Computer Science at the University of Illinois. He has been working on research into data mining, information network analysis, data warehousing, stream mining, spatiotemporal and multimedia data mining, text and Web mining, and software bug mining, with over 400 conference and journal publications. He has chaired or served in over 100 program committees of international conferences and workshops and also served or is serving on the editorial boards for Data Mining and Knowledge Discovery, IEEE Transactions on Knowledge and Data Engineering, Journal of Computer Science and Technology, and Journal of Intelligent Information Systems. He is currently the founding Editor-in-Chief of ACM Transactions on Knowledge Discovery from Data (TKDD).

Han has received IBM Faculty Awards, HP Innovation Award, the Outstanding Contribution Award at the International Conference on Data Mining (2002), ACM SIGKDD Innovation Award (2004), IEEE Computer Society Technical Achievement Award (2005), IEEE Computer Society W. Wallace McDowell Award (2009), Daniel C. Drucker Eminent Faculty Award at UIUC (2011), and Japan's Funai Achievement Award (2018).

He is a fellow of ACM and IEEE. He served as the Co-Director of KnowEnG, a Center of Excellence in Big Data Computing (2014–2019), funded by NIH Big Data to Knowledge (BD2K) Initiative and has been serving as the Director of Information Network Academic Research Center (INARC) supported by the Network Science-Collaborative Technology Alliance (NS-CTA) program of U.S. Army Research Lab since 2009. His book “Data Mining: Concepts and Techniques” (Morgan Kaufmann) has been used worldwide as a textbook.
Date: Tuesday, Apr. 13, 2021 (GMT+8 Taipei Time)
Time: 9:00 a.m. – 10:00 a.m.

Speaker: Eunice Chiu (VP at NVIDIA)
Title: AI Is Transforming Industries [ slack channel ]
Bio: Eunice Chiu has 30 years of work experience, has served in different multinational corporations as GE, Microsoft and Johnson. Eunice has a wealth of experience in sales, marketing and business development. Prior to NVIDIA, she was GE's chief marketing officer in China, based in Shanghai. Prior to that, she was General Manager of the Microsoft Greater China Information Worker Business Group, based in Beijing. Before moving to mainland China, she was General Manager of Microsoft Taiwan. Prior to joining Microsoft, she worked at Johnson, where she held various marketing positions.

Eunice has received a number of awards. She has been ranked as Taiwan's 13th most influential female CEO by Common Wealth Magazine. Eunice holds an MBA degree from Chung Yuan Christian University in Taiwan.
Date: Wednesday, Apr. 14, 2021 (GMT+8 Taipei Time)
Time: 9:00 a.m. – 10:00 a.m.


Database Meets Artificial Intelligence: Challenges and Opportunities [ slack channel ]
Panelists: Julia Stoyanovich (New York University, USA), Aaron Elmore (The University of Chicago, USA), Wei-Shinn Ku (Auburn University and NSF, USA), Makoto Onizuka (Osaka University, Japan), Haixun Wang (Instacart), and Dimitrios Gunopulos (National and Kapodistrian University of Athens, Greece)
Date: Tuesday, Apr. 13, 2021 (GMT+8 Taipei Time)
Time: 10:30 a.m. – 12:10 p.m.


Multi-Model Data, Query Languages and Processing Paradigms [ slack channel ]
Speaker: Qingsong Guo (University of Helsinki, Finland), Jiaheng Lu (University of Helsinki, Finland), Chao Zhang (University of Helsinki, Finland) and Shuxun Zhang (University of Helsinki, Finland)
Date: Monday, Apr. 12, 2021 (GMT+8 Taipei Time)
Time: 2:00 p.m. - 3:40 p.m. (break) 4:00 p.m. - 5:40 p.m.

Lightweight Deep Learning with Model Compression [ slack channel ]
Speaker: U Kang (Seoul National University, Seoul, South Korea)
Date: Monday, Apr. 12, 2021 (GMT+8 Taipei Time)
Time: 2:00 p.m. - 3:40 p.m. (break) 4:00 p.m. - 5:40 p.m.

Discovering Communities over Large Graphs: Algorithms, Applications, and Opportunities [ slack channel ]
Speaker: Chaokun Wang (Tsinghua University, China), Junchao Zhu (Tsinghua University, China), Zhuo Wang (Chinese Academy of Sciences, China), Yunkai Lou (Tsinghua University, China), Gaoyang Guo (Tsinghua University, China), and Binbin Wang (Tsinghua University, China)
Date: Wednesday, Apr. 14, 2021 (GMT+8 Taipei Time)
Time: 2:00 p.m. - 3:40 p.m. (break) 4:00 p.m. - 5:40 p.m.

AI Governance: Advanced Urban Computing on Dynamics Prediction and Route Planning [ slack channel ]
Speaker: Hsun-Ping Hsieh (National Cheng Kung University, Taiwan) and Fandel Lin (National Cheng Kung University, Taiwan)
Date: Wednesday, Apr. 14, 2021 (GMT+8 Taipei Time)
Time: 2:00 p.m. - 3:40 p.m. (break) 4:00 p.m. - 5:40 p.m.