Multi-disciplinary Themes

Big Data Systems (BDS)
 

 

With the spectacular development of new sensors technologies and the emergence of sensor networks, Big Data Systems (BDS) are becoming a very important research stream involving analysis of huge amounts of audio, spoken, text, visual and location data, modeling of user intentions and sentiments, modeling of user relations and interactions, as well as predictive analytics for recommendation engines; statistical modeling and robust inference in the area of financial engineering, biomedical informatics. Big Data hardware provides physical platforms and infrastructure for effectively gathering, processing, storing, sharing and utilizing complex large data set anytime anywhere. In short the BDS theme is more than just analytics, but a comprehensive approach involving data acquisition, high performance computing and analytics involving key applications.

 

 

Faculty
Pascale Fung (coordinator)
Jiang Xu (coordinator)
Roger Cheng
Volkan Kursun
Chin-Tau Lea
Mathew McKay
Wai Ho Mow
Ross Murch
Daniel Palomar
Andrew Poon
James She
Danny Tsang
Albert Wong
Patrick Yue
Wei Zhang