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澳大利亚悉尼科技大学张嶷教授学术讲座

时间:2023-12-18浏览:10

演讲人:张嶷 副教授

(澳大利亚悉尼科技大学计算机学院,澳大利亚人工智能研究院)

主持人:闵超 副教授

地点:英国正版365官方网站A316会议室

主题: Intelligent Bibliometrics: Models and Applications

时间:20231219日(周二)下午16:00

报告摘要:

Intelligent bibliometrics, highlighting the development and application of computational models elaborating artificial intelligence (AI) and data science techniques with bibliometric information for broad studies in science, technology, and innovation (ST&I). Its main tasks include topic extraction, relationship measurement and discovery, and prediction. Some representative works include embedding-based models for topic extraction and classification, heterogeneous network analytics for relationship discovery and prediction, etc. We have successfully applied intelligent bibliometrics to a wide range of ST&I scenarioses, e.g., profiling large-scale coronavirus literature, discovering gene-disease associations, detecting emerging technologies, and recommending knowledge trajectories of scientific researchers.


In this seminar, I will describe how my efforts take actions on recombining AI and data science with practical scenarioses, problems, and issues. I will showcase intelligent bibliometrics modelling through two cases: (1) Bi-layer bibliometric network analytics for characterising emerging general-purpose technologies and recommending knowledge trajectories; and (1) streaming data analytics-based analysis for monitoring topic disruption, evolution, and resilience, using the coronavirus research as an example.

嘉宾简介:

张嶷博士现为澳大利亚悉尼科技大学计算机学院与澳大利亚人工智能研究院副教授。具有管理科学与工程博士学位(北京理工大学)与软件工程博士学位(悉尼科技大学)。他是2019年澳大利亚研究理事会杰出青年基金获得者DECRADiscovery Early Career Researcher Award)。获评《澳大利亚人》2023年度科研大奖,被授予澳大利亚图书馆与情报学学科领军人物。他是美国佐治亚理工大学公共政策学院访问学者(2011-2012)以及澳大利亚墨尔本大学理学院访问学者(2022-2023)。

张嶷博士专注于文献计量学与技术创新管理领域的研究,强调面向科技创新管理问题的智能文献智能学理论架构与方法创新,共发表学术论文100余篇(其中,2017-2023年间高被引论文4篇)。

张嶷博士现担任杂志Frontiers in Research Metrics and Analytics专栏主编,杂志Technological Forecasting and Social Change、IEEE Transactions on Engineering Management以及Scientometrics副主编。

张嶷博士是IEEE资深会员。

欢迎参加!


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