Contact Information

Address: School of Computing and Mathematics, Ulster University, Jordanstwon Campus, Newtownabby, Co. Antrim, BT37 0QB, United Kindom

Email: h.zheng@Ulster.ac.uk

Web: http://scm.ulster.ac.uk/~e10157676/

Skype ID: janemaohu

WG4 Leader

Mini CV

Dr. Huiru (Jane) Zheng is a Reader in Computer Science at Ulster Univrsity and a Visiting Professor at Fuzhou Univresity, China.

Dr. Zheng received BEng in Biomedical Engineering and Instrumentation in 1989 from Zhejiang University, China; MSc in Communication and Electronic System with the Major of Biomedical Information Processing in 1992 from Fuzhou University, China. Since then, she was an Associate Lecturer, Lecturer and Associate Professor in Information Processing in Fuzhou University, China, where she was core member of Biomedical Engineering Research Institute, one of the two founders of the Computer Graphics & Imaging Research Institute and the Center of Multimedia Animation Design. She joined the University of Ulster in 1999 as a research student funded by the University VCRS Award and received her PhD in 2003. She was a part-time Lecturer and part-time Research Fellow (2002, Faculty of Informatics), Research Associate (2003,Faculty of Health and Life Sciences), Postdoctoral Research Fellow (2003-2006, Faculty of Computing and Engineering), Lecturer (2006-2011) and Senior Lecturer (2011-2014) in Computer Science in the University of Ulster.

Dr. Zheng is an active researcher in healthcare informatics (including bioinformatics and medical informatics). Her research interests include machine learning, data mining and their applications to healthcare informatics. She is particularly interested in the following research area: intelligent data analysis, patter recognition and representation; healthcare decision support, activity recognition and analysis, gait analysis; network analysis in systems biology, prediction of protein protein interaction, mass spectra, gene expression and microarray data analysis, data integration and feature selection techniques.

Current projects:

MetaPlat:DevelopmentofanEasy-to-useMetagenomicsPlatformforAgriculturalScience, funded by H2020-MSCA-RISE-2015

SenseCare: Sensor Enabled Affective Computing for Enhancing Medical Care, funded by H2020-MSCA-RISE-2015

mHealth4Afrika:Community-basedICTforMaternalHealthcareinAfrica, funded by Horizon 2020 under ICT-39

Self-Management Platform for Connected Health, funded by Invest NI.