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Cyber campaigns have resulted in severe damages to institutions across all industry sectors and government agencies around the world. While automated monitoring and intrusion detection tools have been deployed and broadly utilized by security operation centers, human analysts still play a critical role to identify real threats from a massive amount of cyber security data. However, how much do we understand how experienced human analysts think? How can we train cyber analysts more effectively? How can we better combine the intelligence of cyber analyts with that of machine intelligence to ensure the security of cyber space in a more effective way? How can we improve the cyber security operation by leveraging collaboration across institutions?
I am interested in these research questions because our journey to finding answer to these questions can have huge impacts not only to cyber security operations, but also to our understanding of human brain and neuroscience, which can contribute to further enhancement of machine intelligence to augment human intelligence.
Since the 80's (as a PhD student of Computer Science at University of California, Berkeley), I have been fascinated by AI. During the past 30 years, I have conducted research regarding varous core topics in artificial intelligence (including reasoning under uncertainty, knowledge representation, machine learning of dynamic systems, multi-agent systems, network science) and its applications in supporting human decision-making teams.
I am interested in these research questions because our journey to finding answer to these questions can have huge impacts not only to cyber security operations, but also to our understanding of human brain and neuroscience, which can contribute to further enhancement of machine intelligence to augment human intelligence.
Since the 80's (as a PhD student of Computer Science at University of California, Berkeley), I have been fascinated by AI. During the past 30 years, I have conducted research regarding varous core topics in artificial intelligence (including reasoning under uncertainty, knowledge representation, machine learning of dynamic systems, multi-agent systems, network science) and its applications in supporting human decision-making teams.
研究兴趣
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WWW '15: 24th International World Wide Web Conference
Florence
Italy
May, 2015pp.83-84, (2015)
SBPpp.231-239, (2013)
Social Intelligence and Technologypp.109-113, (2013)
CIKM'13: 22nd ACM International Conference on Information and Knowledge Management
San Francisco
California
USA
October, 2013pp.2291-2296, (2013)
ASONAM '13: Advances in Social Networks Analysis and Mining 2013
Niagara
Ontario
Canada
August, 2013pp.413-417, (2013)
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