Complex Event Computation System And Platform For Uncertain Data | ASTRI - Hong Kong Applied Science And Technology Research Institute Company Limited

Project Title:

Complex Event Computation System and Platform for Uncertain Data

Project Reference:

ART/207CP

Project Type:

Platform

Project Period:

15 / 01 / 2016 - 14 / 07 / 2017

Funds Approved (HK$’000):

10746

Project Coordinator:

Dr James Zhibin Lei

Deputy Project Coordinator:

Deliverable:

1.1 Platform requirement and system architecture; 1.2 Complex event computation infrastructure and platform design 1.2.1 Event stream framework and processing module 1.2.2 System modules and tools – real-time database optimization, Java libraries (chart, multiple sorting), cross-language messaging, high-performance communication and caching module 1.3 Basic quantitative analysis and statistical tools 1.4 Extensible API for supporting outside applications 2.1 Hybrid CEC engine supporting explicit and implicit event modelers 2.1.1 Quantitative analysis and application modules 2.1.2 Statistical toolbox and supporting modules for hybrid model 2.2 Quantitative analysis, optimization, and estimation algorithms for Parametric Modeling 3.1 Built-in stream data infrastructure supporting efficient stream statistical package 3.2 Tools and modules for financial big data applications 3.3 General-purpose, distributed, scalable, fault-tolerant, pluggable platform for processing continuous unbounded streams of data

Research Group:

Dr Andrew Yiu-Wing Wat
Dr Jerome Yen
Mr Yu Liu
Dr Kent Kang Heng Wu
Mr Cheuk Lun, Calvin Cheung
Dr Yang Liu
Mr Xiaoyu Zhao
Mr Amir Shiyu Liao
Mr Mengte, Matt Miao
Mr Carlos Chiu
Mr Zuyao Wang
Mr Wai Cheong Ku
Mr Jiqi, Jacky Zhang
Dr Man Yau, Edmond Chiu

Sponsor:

Genius Union Limited (Licensing) [Sponsor]
Nebula Technology Ltd (Licensing) [Sponsor]
t.Axiom Solutions Ltd (Inkind) [Sponsor]
t.Axiom Solutions Ltd (Licensing) [Sponsor]

Description:

Complex Event Computation System and Platform for Uncertain Data Project focuses on developing an efficient, scalable and high performance computational engine and its data infrastructure platform to enable new and innovative products, services, and applications that deal with big data with uncertainties. The project aims to build the core complex data platform with high performance data process and explicit/implicit event modeling, low latency stream data analysis, distributed statistical computation, optimal execution, and effective risk management to enable partners, e.g. quantitative talents in academics and industry to build, develop, and commercialize new products and applications on a common cost-effective platform.

Co-Applicant:

Keywords:

More about ASTRI

Hong Kong Applied Science and Technology Research Institute (ASTRI) was founded by the Government of the Hong Kong Special Administrative Region in 2000 with the mission of enhancing Hong Kong’s competitiveness through applied research. ASTRI’s core R&D competence in various areas is grouped under five Technology Divisions: Advanced Electronic Components and Systems; Artificial Intelligence and Trust Technologies; Communications Technologies; IoT Sensing and AI Technologies; and Intelligent Perception and Control Technologies. It is applied across six core areas which are Smart City, Financial Technologies, New Industrialisation and Intelligent Manufacturing, Digital Health, Application Specific Integrated Circuits and Metaverse.

Over the years, ASTRI has nurtured a pool of research, I&T talents and received numerous international awards for its pioneering innovations as well as outstanding business and community contributions. ASTRI has transferred about 1,600 technologies to the industry and has been granted close to 1,200 patents in the Mainland, the United States, and other countries.

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