自2015年9月于英国Ulster大学从事Innovate UK基金博士后科研及教学工作，研究阿尔兹海默症数据分析与预测建模。期间作为第一导师指导1名博士研究生及10余名硕士研究生，以合作导师身份指导3名博士研究生。已在IEEE Transactions on Neural Networks and Learning Systems、Scientific Reports、Alzheimer’s & Dementia: Translational Research & Clinical Interventions、Network and Systems Medicine、Frontiers in Neurosciences、IEEE Transactions on Vehicular Technology、Neurocomputing、Decision Support Systems、Expert Systems with Applications、Wireless Personal Communications、Review of Quantitative Finance and Accounting等国际期刊及一些国际会议发表50余篇学术论文。

教育经历：

1. 1990-1994 黑龙江大学，计算机科学系，工学学士

2. 2001-2003 哈尔滨工程大学，工商管理硕士

3. 2001-2004 哈尔滨工业大学，计算机技术工程硕士

4. 2010-2013 英国Ulster大学，计算与智能系统系，计算机科学专业博士学位及优秀博士毕业论文奖

5. 2018-2019 Ulster大学，高等教育实践硕士

工作经历：

1. 1994-2006 任职于哈尔滨师范大学计算机系

2. 2006- 任职于福建师范大学软件学院

3. 2015-2020 Ulster大学，计算与智能系统系，博士后科研与教学

Fellow of The Higher Education Academy, UK.

曾主持：2项中英国际合作项目（2018-19 UU GCRF Pump Priming, 2019-21 ARUK NI Networking）、

1项教育部国际合作与交流司留学回国基金项目、

2项省自然科学基金项目、

3项教育厅基金项目、1项校企合作横向课题。

以上项目均关于 ‘阿尔兹海默症数据分析及预测建模’。主持建设1门校级精品课程及1门校公选课程。

代表性成果：

[1]Niamh McCombe, Xuemei Ding, Girijesh Prasad, Paddy Gillespie, David P Finn, Stephen Todd, Paula L McClean, KongFatt Wong-Lin (Feb. 2022). Alzheimer’s disease assessments optimized for diagnostic accuracy and administration time, IEEE Journal of Translational Engineering in Health and Medicine (Accepted, In press), https://medrxiv.org/cgi/content/short/2021.07.01.21259858v1 

 [2]Niamh McCombe, Shuo Liu, Xuemei Ding, Girijesh Prasad, Magda Bucholc, David P Finn, Stephen Todd, Paula L McClean, KongFatt Wong-Lin (Feb. 2022). Practical strategies for extreme missing data imputation in Dementia diagnosis, Journal of Biomedical And Health Informatics, vol.26, no.2, pp.818-827. DOI: 10.1109/JBHI.2021.3098511

[3]Shuo Liu, Yi Cao, Junxiu Liu, Xuemei Ding*, Damien Coyle (2022). A novelty detection approach to effectively predict conversion from mild cognitive impairment to Alzheimer’s disease. International Journal of Machine Learning and Cybernatics. https://doi.org/10.1007/s13042-022-01570-2

 [4]Massoud Khodadadzadeh, Xuemei Ding, Priyanka Chaurasia, Damien Coyle. A hybrid capsule network for hyperspectral image classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9 Nov. 2021 10.1109/JSTARS.2021.3126427

[5]Niamh McCombe, Xuemei Ding, Girijesh Prasad, David P Finn, Stephen Todd, Paula L McClean, KongFatt Wong-Lin. Predicting feature imputability in the absence of ground truth, July 2020 ICML Workshop, https://openreview.net/forum?id=ZSLXyrpQHwl 

[6]Magda Bucholc, Paula L McClean; Sarah Bauermeister; Stephen Todd; Xuemei Ding; Qinyong Ye, Desheng Wang, Wei Huang, Liam P Maguire. Association of the use of hearing aids with the conversion from mild cognitive impairment to dementia and progression of dementia: A longitudinal retrospective study. Alzheimers & Dementia: Translational Research & Clinical Interventions, 14 Feb. 2021, https://doi.org/10.1002/trc2.12122  (DOI: 10.1002/trc2.12122) 

[7]

[8]Yuling Luo, Lei Wan, Junxiu Liu, Jim Harkin, LJ Mcdaid, Yi Cao, Xuemei Ding. Low cost Interconnected architecture for the hardware spiking neural networks. Frontiers in Neurosciences, vol 12, pp. 1-14, 2018. https://doi.org/10.3389/fnins.2018.00857 

[9]Yuan Yao, Yi Cao, Xuemei Ding*, Jia Zhai, Junxiu Liu, Yuling Luo, Shuai Ma, Kailin Zou. A paired neural network model for tourist arrival forecasting. Expert Systems with Applications, vol. 114, pp. 588-614, 2018. https://doi.org/10.1016/j.eswa.2018.08.025 

[10]Xuemei Ding, Magda Bucholc, Haiying Wang, David Glass, Hui Wang, Dave H. Clarke, Anthony John Bjourson, Le Roy Dowey, Maurice O'Kane, Girijesh Prasad, Liam Maguire and KongFatt Wong-Lin. A hybrid computational approach for efficient Alzheimer's disease classification based on heterogeneous data. Scientific Reports (Nature Publishing), 2018, 8(9774):1-10 (DOI: 10.1038/s41598-018-27997-8)