个人简介
刘彩华博士长期研究基于大数据、人工智能等新一代信息技术的医疗健康数据质量和信息质量治理以及企业数字化转型,具有七年境外学习工作经历。近五年来,在相关领域国际权威期刊及国际顶尖会议发表学术论文20余篇,其中,一研究成果被Journal of Computer Assisted Learning期刊连续两年(2021-2022, 2022-2023)评为高被引论文。在科学出版社出版学术专著1部。主持教育部人文社会科学研究青年基金项目1项。面向本科生,承担《计算机组成原理》等基础课程。自2021年起担任爱思唯尔(Elsevier)出版集团下Healthcare Analytics期刊副主编。
教育背景
2016.02—2020.03,悉尼科技大学,信息系统,博士
2013.08—2014.06,香港浸会大学,高级信息系统,硕士
2004.08—2009.06,长江大学,计算机科学与技术(HND项目),学士
工作经历
2022.10—至今,桂林电子科技大学,人工智能学院,副教授
2020.06—2022.08,中山大学,信息管理学院,博士后(副研究员)
主要荣誉
2023年全国青年教师教学竞赛(北京中育学研文化交流中心主办)课件类一等奖
2023年全国青年教师专业基本功大赛(中国青年教师协会主办)高教组教学设计类一等奖
学术活动
2018.01,The 51st Hawaii International Conference on System Sciences (HICSS) 论文报告
2021.07,The 23rd International Conference on Human-Computer Interaction (HCII) 论文报告
2023.07,The 25th International Conference on Human-Computer Interaction (HCII) 论文报告
2023.08,The 32nd International Joint Conference on Artificial Intelligence (IJCAI) 参与交流
教学信息
承担《计算机组成原理》等课程的教学工作
主要论文
[1] Liu, C., Zowghi, D., & Talaei-Khoei, A. (2020). An empirical study of the antecedents of data completeness in electronic medical records, International Journal of Information Management (JCR Q1), 50, pp. 155–170.
[2] Liu, C., Zowghi, D., & Talaei-Khoei, A. Empirical Evaluation of the Influence of EMR Alignment to Care Processes on Data Completeness. Paper presented at the 53rd Hawaii International Conference on System Sciences (HICSS) (CORE A), Hawaii, January 2020.
[3] Liu, C., Bano, M., Zowghi, D., Kearney, M. (2021). Analysing user reviews of inquiry-based learning apps in science education, Computers & Education (JCR Q1), 2021, 164, p.104119.
[4] Liu, C., Zhang, B., & Peng, G. A systematic review of information quality of artificial intelligence based conversational agents in healthcare. Paper presented at the 23rd International Conference on Human-Computer Interaction (HCII) (EI Index), July 2021.
[5] Chen, W., Liu, C., Xing, F., Peng, G., Yang, X. (2022). Establishment of a maturity model to assess the development of industrial AI in smart manufacturing, Journal of Enterprise Information Management (JCR Q1), 35(3), pp. 701-728.
[6] Deng, Y., Kong, S., Liu, C., & An, B. Deep attentive belief propagation: Integrating reasoning and learning for solving constraint optimization problems. Paper presented at the 36th Conference on Neural Information Processing Systems (NeurIPS) (CCF A), New Orleans, USA, November 2022.
[7] Liu, C. & Zowghi, D. (2023). Citizen involvement in digital transformation: A systematic review and a framework, Online Information Review (JCR Q2), 47(4), pp. 644-660.
[8] Cheng, H., Kong, S., Deng, Y., Liu, C., Wu, X., An, B., & Wang, C. Exploring leximin principle for fair core-selecting combinatorial auctions: Payment rule design and implementation. Paper presented at the 32nd International Joint Conference on Artificial Intelligence (IJCAI) (CCF A), Macao, China, August 2023.
学术著作
彭国超,邢飞,刘彩华,《工业人工智能创新与应用》, 科学出版社,2022年5月出版
科研项目
2021.08-2024.12,教育部人文社会科学研究青年基金项目,21YJC870009,大数据时代多源在线健康信息质量适老化治理研究,主持,8万。
2021.01-2022.01,横向科技服务项目,物联网环境下可穿戴设备在医疗领域的应用及挑战研究,参与,6万。
2020.01-2023.12,国家自然科学基金面上项目,71974215,智慧城市APP用户使用行为分化机理研究,参与,49万。
2018.05-2021.04,广东省自然科学基金面上项目,2018A030313706,面向珠三角制造企业的工业4.0技术成熟度模型研究及影响因素分析,参与,10万。
2015.01-2019.12,Australian Research Council Discovery Project,DP150101214,Optimising teaching and learning with mobile intensive pedagogies,参与,150万。
知识产权
联系信息
Caihua.Liu@guet.edu.cn
常用链接
https://www.researchgate.net/profile/Caihua-Liu-4