Personal information

Websites & social links

http://www.deakin.edu.au/about-deakin/people/guangyan-huang

Keywords

data mining, sensor stream data, video understanding, emotion recognition and short text analytics

Countries

Australia

Biography

Dr. Guangyan Huang is an Associate Professor at the School of Information Technology, Deakin University. In 2014, she was the recipient of an ARC DECRA fellowship. She also has been awarded two Discovery Projects - DP190100587 (sole CI) and DP140100841. She was awarded a PhD degree in Computer Science from Victoria University in 2012.

She has 110+ publications mainly in Data Mining, Sensor Stream Data, Pattern Recognition, Video Understanding, Emotion Recognition and Short Text Analytics. She is an IEEE Senior member.

Activities

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Employment (4)

Deakin University: Melbourne, VIC, AU

2020-01 to present | Associate Professor (School of Information Technology)
Employment
Source: Self-asserted source
Guangyan Huang

Deakin University: Melbourne, VIC, AU

2014-05 to 2019-12 | Senior Lecturer (School of Information Technology)
Employment
Source: Self-asserted source
Guangyan Huang

Victoria University: Melbourne, VIC, AU

2012-02-01 to 2014-04-30 | Senior Lecturer (2014), Research Fellow (2012-2013) (College of Engineering and Science)
Employment
Source: Self-asserted source
Guangyan Huang

Institute of Software Chinese Academy of Sciences: Beijing, CN

2007-04-01 to 2009-04-01 | Assistant Professor (National Research Center for Fundamental Software)
Employment
Source: Self-asserted source
Guangyan Huang

Education and qualifications (2)

Deakin University: Melbourne, VIC, AU

2014-11-01 to 2016-04-05 | Graduate Certificate of Higher Education Learning and Teaching (Faculty of Arts and Education)
Education
Source: Self-asserted source
Guangyan Huang

Victoria University: Melbourne, VIC, AU

2009-04-01 to 2012-05-30 | Ph.D in Computer Science (College of Engineering and Science)
Education
Source: Self-asserted source
Guangyan Huang

Funding (3)

Sensor Stream Pattern Mining for Automatic Anomaly Recognition and Intervention

2019-01 to 2021-12 | Grant
Australian Research Council (ACT, ACT, AU)
GRANT_NUMBER:

DP190100587
Source: Self-asserted source
Guangyan Huang

Mining Patterns and Changes of Wave Shapes for Efficiently Querying Periodic Data Streams

2014-05 to 2017-05 | Grant
Australian Research Council (ACT, ACT, AU)
GRANT_NUMBER:

DE140100387
Source: Self-asserted source
Guangyan Huang

Deep Data Mining for Anomaly Prediction from Sensor Data Streams

2014-01 to 2016-12 | Grant
Australian Research Council (ACT, ACT, AU)
GRANT_NUMBER:

DP140100841
Source: Self-asserted source
Guangyan Huang

Peer review (3 reviews for 3 publications/grants)

Review activity for Expert systems with applications. (1)
Review activity for Neural Processing Letters. (1)
Review activity for The journal of supercomputing. (1)
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