Title: Industrial Analytics Research and Education Facing Digital Transformation
This talk will present and discuss the challenges and opportunities that data science and analytics face in the era of digital transformation, and the roles we play to drive such transformation. In particular, there is a big opportunity for industrial and business analytics, under the digital transformation paradigm, in order to further explore ways of creating value from data and big data. On research: I will update the recent progress in our Quality and Data Analytics Lab on change detection in heterogeneous data streams. On education: I will share the recent development of HKUST 2.0: a cross-disciplinary paradigm and a unique Information Hub in the Greater Bay Area.
Prof. Fugee Tsung is Chair Professor of Department of the Industrial Engineering and Decision Analytics, and Acting Dean of the Information Hub, Guangzhou Campus, at the Hong Kong University of Science and Technology (HKUST). He is also the Director of the Quality and Data Analytics Lab, and former Editor-in-Chief of the Journal of Quality Technology (JQT). He has been elected Academician of the International Academy for Quality (IAQ), Fellow of the American Statistical Association (ASA), Fellow of the Institute of Industrial and Systems Engineers (IISE), Fellow of the American Society for Quality (ASQ), Elected Member of the International Statistical Institute (ISI), and Fellow of the Hong Kong Institution of Engineers (HKIE). He received both his Ph.D. and MSc in industrial and operations engineering from the University of Michigan, Ann Arbor. He has authored over 100 refereed journal publications and also received IISE Transactions' Best Paper Award three times, in 2004, 2009, and 2018, respectively. His research interests include industrial big data and quality analytics.