蔡肯,博士后、副教授,硕士导师,昆士兰大学访问学者,广州市珠江科技新星,“广东省高等学校优秀青年教师培养计划”培养对象,广东省高等学校“千百十工程”校级培养对象。长期从事农业信息化、电子技术、医疗器械、集成电路设计、人工智能和机器视觉的教学和研究工作,近五年来,主持省级以上项目12项,参与项目6项,以第一作者或通讯作者表论文66篇,其中SCI论文22篇,EI论文26篇,出版教材1部,获授权国家专利33项,获广东省教学成果二等奖1项。 ■ 代表性科研项目 1. 果蔬采摘机械末端执行器的高精度定位技术研究与应用,国家科技计划项目,2014GA780009; 2. 基于农业物联网的精准农业生产中若干关键技术问题研究,广东高校省级重大科研项目,2015KTSCX069; 3. 手术导航中高精度光学定位关键技术研究,广州市珠江科技新星专项,201506010035。 ■ 代表性论文(*:通信作者) 1. K. Cai, R. Q. Yang, H. Z. Chen, L. H. Li, J. Zhou, S. X. Ou, F. Liu, A framework combining window width-level adjustment and Gaussian filter-based multi-resolution for automatic whole heart segmentation, Neurocomputing, 2017, 220, 138-150.(IF:2.392) 2. K. Cai, R. Q. Yang, L. H. Li, Z. Xie, S. X. Ou, Y. K. Chen, J. H. Dou, Tetralogy of Fallot Cardiac Function Evaluation and Intelligent Diagnosis Based on Dual-Source Computed Tomography Cardiac Images, Artificial Organs, 2016, 40(5), 459-469.(IF:2.05) 3. K. Cai, R. Q. Yang, Q. Y. Lin, S. J. Liu, H. Z. Chen, S. X. Ou, W. H. Huang, J. Zhou, Near-Infrared Camera Calibration for Optical Surgical Navigation, Journal of Medical Systems, 2016, 40(3).(IF:2.213) 4. K. Cai, R. Yang, H. Yue, L. Li, S. Ou, F. Liu, Dynamic updating atlas for heart segmentation with a nonlinear field-based model, The International Journal of Medical Robotics and Computer Assisted Surgery, 2016, doi: 10.1002/rcs.1785.(IF:1.526) 5. K. Cai, R. Q. Yang, H. Q. Chen, Y. Z. Huang, X. Y. Wen, W. H. Huang, S. X. Ou, Synchronization Design and Error Analysis of Near-Infrared Cameras in Surgical Navigation, Journal of Medical Systems, 2016, 40(1).(IF:2.213) 6. Q. Y. Lin, R. Q. Yang, K. Cai*, X. Si, X. W. Chen, X. M. Wu, Real-time automatic registration in optical surgical navigation, Infrared Physics & Technology, 2016, 76, 375-385. (IF:1.588) 7. H. Z. Chen, G. Q. Tang, W. Ai, L. L. Xu, K. Cai*, Use of Random Forest in FTIR Analysis of LDL Cholesterol and Tri-Glycerides for Hyperlipidemia', Biotechnology Progress, 2015, 31(6), 1693-1702. (IF:2.149) 8. H. Z. Chen, K. Shi, K. Cai*, L. L. Xu, Q. X. Feng, Investigation of sample partitioning in quantitative near-infrared analysis of soil organic carbon based on parametric LS-SVR modeling, Rsc Advances, 2015, 5(98), 80612-80619. (IF:3.84) ■ 教学科研获奖情况 广东教育教学成果奖二等奖,2014年(排名1)。 |