劉愛萍，江蘇連雲港人，中國科學技術大學特任副研究員。
基本介紹
教育背景,工作經歷,研究方向,科研項目,論文發表,專著章節,期刊論文,會議論文,獲獎情況,學術活動,
教育背景
2011.09-2016.05英屬哥倫比亞大學電子與計算機工程系Ph.D.
2009.09-2011.08英屬哥倫比亞大學電子與計算機工程系M.Sc.
2005.09-2009.06中國科學技術大學電子科學與技術系B.Sc.（GPA:3.96, Rank: 2/108）
工作經歷
2017.08-英屬哥倫比亞大學太平洋帕金森病研究中心 Postdoctoral Researcher
2017.01-2017.07合肥工業大學電子科學與套用物理學院Assistant Professor
2016.06-2016.12英屬哥倫比亞大學電子與計算機工程系Postdoctoral Researcher
研究方向
腦信息處理；醫學大數據分析；腦影像分析；信號處理與機器學習；大腦刺激調節；神經退行性疾病輔助診斷
科研項目
國家重點研發計畫“智慧型機器人”重點專項，“生-機智慧型互動與生機電一體化機器人技術”項目子課題，2017YFB1300301，2017/09-2020/08，29.4萬，負責人
國家自然科學基金青年基金，“基於動態連線特性的功能腦區劃分及其在帕金森病研究中的套用”, 61701158，2018/01-2020/12，26萬，負責人
安徽省自然科學基金青年基金，“狀態相關的大腦功能區域劃分方法研究”，1808085QF184, 2018/07-2020/06，10萬，負責人
加拿大Mitacs Globalink國際合作研究項目，“Brain dynamics in neurodegenerative”，IT06351，2016，$5000，負責人
論文發表
專著章節
Aiping Liu, J. Li, Z. J. Wang, M. J. McKeown, “Brain connectivity assessed with functional MRI”, Medical Imaging Technology and Applications, CRC Press, 2013.
期刊論文
- Aiping Liu, S.-J. Lin, T. Mi, P. Chan, X. Chen, Z. J. Wang and M. J. McKeown, “Decreased subregional specificity of the putamen in Parkinson’s Disease revealed by dynamic connectivity-derived parcellation (to appear)”, NeuroImage: Clinical, to appear, 2018. (第一作者，JCR Q1)
- Aiping Liu, X. Chen, X. Dan, M. J. McKeown and Z. J. Wang, “A Combined Static and Dynamic Model for Resting State fMRI Brain Connectivity Networks: Application to Parkinson’s Disease”, IEEE Journal of Selected Topics in Signal Processing, vol. 10, no.7, pp. 1172-1181, 2016. (第一作者，JCR Q1)
- Aiping Liu, X. Chen, M. J. McKeown and Z. J. Wang, “A Sticky Weighted Regression Model for Time-Varying Resting State Brain Connectivity Estimation”, IEEE Transactions on Biomedical Engineering, vol. 62, no.3, pp. 501–510, 2015. (第一作者，JCR Q1)
- Aiping Liu, X. H. Chen, Z. J. Wang, Q. Xu, S. Appel-Cresswell and M. J. McKeown, “A Genetically Informed, Group fMRI Connectivity Modeling Approach: Application to Schizophrenia”, IEEE Transactions on Biomedical Engineering, vol.61, no.3, pp.946-956, 2014. (第一作者，JCR Q1)
- Aiping Liu, Z. J. Wang and Y. Hu, “Network modeling and analysis of lumbar muscle surface EMG signals during flexion–extension in individuals with and without low back pain”, volume 21, pp. 913-921, Journal of Electromyography and Kinesiology, 2011. (第一作者，JCR Q2)
- Aiping Liu, J. Li, Z. J. Wang, and M. J. McKeown, “A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, A Priori Knowledge, and Group Inference,” Computational and Mathematical Methods in Medicine, vol. 2012, Article ID 967380, 14 pages, 2012. (第一作者，JCR Q3)
會議論文
- X. Xu, Aiping Liu, X. Chen, “A Novel Few-Channel Strategy for Removing Muscle Artifacts from Multichannel EEG Data”, Signal and Information Processing (GlobalSIP), 2017 IEEE Global Conference on, pp. 976-980, Nov. 2017.
- Aiping Liu, X. Chen, X. Dan, M. J. McKeown and Z. J. Wang, “Joint Time Invariant and Time Dependent Brain Connectivity Network Estimation”, 2016 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-4, May 2016.
- Y. Zhang, Aiping Liu, S. N. Tan, M. J. McKeown and Z. J. Wang, “Connectivity-Based Parcellation of Putamen using Resting State fMRI Data”, 12th IEEE International Symposium on Biomedical Imaging (ISBI), Pages 34-37, April , 2015.
- Aiping Liu, X. Chen, Z. J. Wang and M. J. McKeown, “Time varying brain connectivity modeling using FMRI signals”, Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, pp. 2089-2093, 4-9 May 2014.
- Aiping Liu, J. Li, Z. J. Wang and M. J. McKeown, “An FDR-controlled, exploratory group modeling for assessing brain connectivity”, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), pp.558-561, 2-5 May 2012.
獲獎情況
2015國家優秀自費留學生獎學金 (全球500名/年)
2012UBC Four Year Fellowship (FYF)
2009中國科學技術大學優秀本科生畢業論文
2008華為獎學金
2007 中國科學技術大學優秀學生獎學金
2006 張宗植科技獎學金
2004全國生物奧林匹克競賽江蘇省一等獎
學術活動
擔任Frontiers in Aging Neuroscience客座編輯（Guest Associate editor）；
擔任IEEE MMSP 2018 Publicity Chair、IEEE GlobalSIP 2017 TPC；
