刘东，中国科学技术大学研究员，博士生导师，IEEE高级会员。主要从事数据反演、最优化理论与方法、医学电阻抗成像、正电子断层成像技术等方面的研究。在电磁反问题、无损医学成像算法以及其在生物医学工程中的应用等重要课题方面开展了大量研究。成功开发出对模型误差、噪声等具有高容差性的集动态与静态成像于一体的非线性差分成像方法。在IEEE TMI (10篇)、IEEE TIM (6篇)、IEEE TBME (2篇)和IEEE TCI (1篇)等期刊上发表论文40余篇。曾获总装备部科技进步二等奖一项。
工作经历
2020/05-至今，中国科学技术大学，研究员
2016/03-2020/04，中国科学技术大学，副研究员
2015/12-2016/02，芬兰东芬兰大学，项目研究员
2005/08-2009/08，中国工程物理研究院，研究实习员
学习经历
2011/09-2015/12，芬兰东芬兰大学，应用物理，博士
2009/09-2011/07，韩国济州国立大学，电子工程，硕士
2001/09-2005/07，上海交通大学，应用物理，学士
电子邮箱
dong2016(at)ustc.edu.cn
dong.liu(at)outlook.com
承担科研项目情况
1. 基于参数化多相水平集方法的电阻抗成像算法研究，基金委面上项目61871356，2019.01-2022.12，在研，主持
2. 面向固态量子传感的自旋系综测量与调控装置，国家重大科研仪器研制项目，51727808，2018-01至2022-12，723万元，在研，子课题负责人
代表性论文
2. D Liu and J F Du. Shape and topology optimization in electrical impedance tomography via moving morphable components method. Structural and Multidisciplinary Optimization, 64:585-598, 2021.
3. D Gu, D Liu, D Smyl, J Deng and J F Du. Supershape recovery from electrical impedance tomography data, IEEE Transactions on Instrumentation and Measurement, 70: 4503711, 2021
4. D Liu, D Gu, D Syml, A Khambampati, J Deng and J F Du. Shape-driven EIT reconstruction using Fourier representations. IEEE Transactions on Medical Imaging, 40(2), 481-490, 2021.
5. D Liu, D Syml, D Gu and J F Du. Shape-driven difference electrical impedance tomography. IEEE Transactions on Medical Imaging,39(12), 3801-3812, 2020.
6. D Liu, D Gu, D Syml, J Deng and J F Du. Multiphase conductivity imaging with Electrical Impedance Tomography and B-spline level set method. IEEE Transactions on Instrumentation and Measurement, 69(12), 9634-9644, 2020.
7. D Liu, D Gu, D Syml, J Deng and J F Du. Shape reconstruction using Boolean operations in electrical impedance tomography. IEEE Transactions on Medical Imaging,39(9), 2954-2964, 2020.
8. D Syml and D Liu, Optimizing Electrode Positions in 2-D Electrical Impedance Tomography Using Deep Learning. IEEE Transactions on Instrumentation and Measurement, 69(9), 6030-6044, 2020.
9. D Liu, D Gu, D Syml, J Deng and J F Du. B-Spline Level Set Method for Shape Reconstruction in Electrical Impedance Tomography. IEEE Transactions on Medical Imaging,39(6), 1917-1929, 2020.
10. D Liu, D Syml and J F Du. Nonstationary shape estimation in electrical impedance tomography using a parametric level-set-based extended Kalman filter approach. IEEE Transactions on Instrumentation and Measurement, 69(5), 1894-1907, 2020.
11. D Liu and J F Du. A moving morphable components based shape reconstruction framework for electrical impedance tomography. IEEE Transactions on Medical Imaging, 38(12), 2937-2948, 2019
13. D Liu, D Syml and J F Du. A Parametric Level Set based Approach to Difference Imaging in Electrical Impedance Tomography. IEEE Transactions on Medical Imaging, 38(1), 145-155,2019
14. Z Wei, D Liu and X Chen. Dominant-Current Deep Learning Scheme for Electrical Impedance Tomography. IEEE Transactions on Biomedical Engineering, 66(9), 2546-2555, 2019
15. D Liu, Y X Zhao, A Khambampati, A Seppanen and J F Du. A parametric level set method for imaging multi-phase conductivity using electrical impedance tomography. IEEE Transactions on Computational Imaging, 4(4), 552-561, 2018.
16. D Liu, A K Khambampati and J F Du. A Parametric Level Set Method for Electrical Impedance Tomography. IEEE Transactions on Medical Imaging, 37(2), 451-460, 2018
