删除或更新信息,请邮件至freekaoyan#163.com(#换成@)

湖南科技大学计算机科学与工程学院导师教师师资介绍简介-廖璟

本站小编 Free考研考试/2021-08-28




廖璟,湖南科技大学计算机科学与工程学院副教授,硕士生导师。2007年,毕业于中南大学控制理论与控制工程专业,获工学硕士学位;2012年,英国奥斯特大学,获计算机科学与数学博士学位。2013年至2016年在英国斯特克莱德大学工程学院通讯实验室分别任职research associate 和research fellow。负责两个英国EPSRC资助项目智能家居方向中的行为识别模型和智能电表电力分解子项目,研究居民行为识别方法和家用电器能耗分析。并担任 IEEE system,man and cyber(c)等 SCI 期刊审稿人。主要研究领域为智能家居,信息挖掘,行为识别和大数据处理。在国内外重要学术刊物与会议上共发表论文20余篇,其中被SCI收录5篇,EI收录数12篇。


主要论文情况:
[1]Kanghang He, Lina Stankovic, Jing Liao, Vladimir Stankovic, “Non-Intrusive Load Disaggregation using Graph Signal Processing” IEEE transactions on Smart Grid, vol.9,no.4,pp.1739-1747, May 2018.(SCI,EI收录)
[2]H. Altrabalsi, V. Stankovic, J. Liao, and L. Stankovic, “Low-complexity energy disaggregation using appliance load monitoring,” AIMS Energy, vol. 4, no. 1, pp. 884-905, January 2016 (SCI,EI收录)
[3]D.M. Murray, J. Liao, L. Stankovic, and V. Stankovic, “Understanding usage patterns of electric kettle and energy saving potential,” Elsevier Applied Energy, 171:231-242 ,2016 (SCI,EI收录)
[4]L. Stankovic, V. Stankovic, J. Liao, and C. Wilson, “Measuring the energy intensity of domestic activities from smart meter data,” Elsevier Applied Energy, vol.183, pp. 1565–1580, December 2016. (SCI,EI收录).
[5]Jing Liao, Georgia Elafoudi, Lina Stankovic, Vladimir Stankovic, " Non-intrusive appliance load monitoring using low-resolution smart meter data,” 5th IEEE International Conference on Smart Grid Communications (SmartGridComm 2014), Venice, Italy, November,2014(EI 收录)
[6]Jing Liao, Lina Stankovic, Vladimir Stankovic, “Detecting Household Activity Pattern from Smart Meter Data”, The 10th international conference on Intelligent Environment (IE’14),shanghai, China, July, 2014(EI 收录)
[7]Hana Altrabalsi, Jing Liao, Lina Stankovic, Vladimir Stankovic, “A low-complexity energy disaggregation method: performance and robustness”, IEEE Symposium Series on Computational intelligence (SSCI 2014), Olando, Florida, USA, December 2014(ISTP,EI收录)
[8]Jing Liao, YaXin Bi, Chris Nugent, "Using the Dempster-Shafer Theory of Evidence With a Revised Lattice Structure for Activity Recognition", IEEE Transactions on Information Technology in Biomedicine, vol. 15, pp.74-82,2011. (SCI,EI收录)
[9]Jing Liao,YaXin Bi,Chris Nugent, " A weight factor algorithm for activity recognition utilizing a lattice-based reasoning structure ", the 23rd IEEE International Conference on Tools with Artificial Intelligence, Boca Raton, Florida, USA, 2011( ISTP,EI收录)
[10]Jing Liao,YaXin Bi,Chris Nugent, "Weight factor algorithms for activity recognition in lattice-based sensor fusion", LNCS on on Knowledge Science, Engineering and Management, pp.365-376, 2011(ISTP,EI收录)


主持与参与项目情况:
1. 国家青年基金“基于位置服务的社交网络中的数据安全与隐私保护机制研究”(**), 2018/1-2020/12,在研,参与
2. 英国BBSRC项目,“Precision Beef”,2015/04-2018/03,已结题,参与
3. 英国EPSRC项目,“REFIT: Personalised Retrofit Decision Support Tools for UK Homes using Smart Home Technology”( EP/K002457/1),2012/10-2015/10,已结题,参与
4. 英国EPSRC项目,“Aging Population Attitudes to Sensor Controlled Home Energy”(EP/K002708/1),2013/2-2015/4,已结题,参与


联系方式:
邮箱:@qq.com 逸夫楼603






相关话题/工程学院 计算机科学