姓名：闵哲

性别：男

民族：汉族

党派：群众

专业：控制科学与工程

技术职称：教授、博导

工作单位：山东大学，控制科学与工程学院

单位地址：山东省济南市经十路17923号邮编250100

个人简介:

闵哲，男，工学博士，山东大学教授，博士生导师，国家高层次青年人才，山东大学杰出中青年学者(第一层次)，伦敦大学学院荣誉讲师。 2014年于山东大学控制科学与工程学院获学士学位，2019年获得香港中文大学电子工程博士学位(导师孟庆虎教授，加拿大工程院院士)。2019年-2020年获香港中文大学工学院研究奖学金计划资助，在香港中文大学进行博士后研究。2020年-2022年在伦敦大学学院 Wellcome / EPSRC 介入和外科科学中心 (WEISS)担任研究员。近五年，发表论文40余篇，其中以第一作者(含共一)发表国际顶级期刊论文16篇，包括IEEE Trans. Automation Science and Engineering(含1篇ESI高被引论文) 、 IEEE Trans. Fuzzy Systems 、 IEEE Trans. Medical Robotics and Bionics 、 Robotics and Automation Letters 等， 以第一作者(含共一)发表会议论文18篇，包括机器人领域顶级会议ICRA (6 篇)、 IROS (4 篇), 医学图像处理领域顶级会议IPMI、MICCAI 、ISBI等，并曾获ICARM2022最佳会议论文提名奖。现担任Robotics and Automation Letters 期刊副编辑, Frontiers in Robotics and AI和Sensors期刊客座编辑。主要研究方向包括机器人与人工智能，医学图像及点云配准，三维视觉和深度学习，手术机器人与手术导航， MRI中前列腺癌自动检测及分割等。

研究领域与方向

机器人与人工智能，医学图像及点云配准，三维视觉和深度学习，手术机器人与手术导航， MRI中前列腺癌自动检测及分割等

社会兼职与荣誉奖励

Robotics and Automation Letters 期刊副编辑

Frontiers in Robotics and AI和Sensors期刊客座编辑

Frontiers in Oncology期刊审稿编辑

TRO、T-PAMI、TMI 、ICRA、IROS、MICCAI、IPCAI等多个国际顶级期刊和会议审稿人

MICCAI 2022 ASMUS 工作坊程序委员会主席

MICCAI 2021 ASMUS 工作坊程序委员会共同主席

ROBIO 2019、ICAR2017资深程序委员会成员

CIS-RAM2017、ICIA2015-2019程序委员会成员

IEEE机器人与自动化学会会员

主持、参与的项目情况：

近年来参与的部分科研项目如下：

(1) 香港研究资助局, General Research Fund, 14211420, Development of a State-of-the-art Augmen ted- Reality Surgical Navigation System for Minimally Invasive Surgery（為微创手术而开发的先进增 強现实手术导航系統 ）, 2021-01 至 今, 95.35万元, 在研, 参与

(2) 香港研究资助局, General Research Fund, 14200618, Development of Scenario Intelligence for Service Robots with Application in Autonomous Untrained Elevator Operations (服务机器人场景智能的 开发及其在自主未经训练的电梯操作中的应用）, 2018-08 至 2021-08, 51.34万元, 结题, 参与

(3) 香港研究资助局 , General Research Fund, 14210117, Compensation strategy and associated te chnologies for surgical tracking system in robot assisted surgery(机器人辅助手术系統中定位导航的 控制策略及相关技術 ) , 2017-08 至 2020-08, 71.03万元, 结题, 参与

(4) 深圳市科技创新委员会, 基础研究（学科布局）, JCYJ20170413161616163, 基20170013 具有人机交 互功能的双臂移动型机器人研究, 2017-06 至 2020-06, 300万元, 结题, 参与

论文、专利及获奖情况：

近五年，发表论文40余篇，其中以第一作者(含共一)发表国际顶级期刊论文16篇，包括IEEE Trans. Automation Science and Engineering(含1篇ESI高被引论文) 、 IEEE Trans. Fuzzy Systems 、 IEEE Trans. Medical Robotics and Bionics 、 Robotics and Automation Letters 等， 以第一作者(含共一)发表会议论文18篇，包括机器人领域顶级会议ICRA (6 篇)、 IROS (4 篇), 医学图像处理领域顶级会议IPMI、MICCAI 、ISBI等，并曾获ICARM2022最佳会议论文提名奖。曾获香港中文大学工学院研究奖学金(2019-2020)，MICCAI 2020教育挑战赛冠军、 ICRA 2019 Travel Award、CARS 2018 Travel Award以及IROS 2017 Travel Award等奖项。

其中，近五年来主要代表作如下:

[1] Min Z, Wang J, Meng MQ. Joint rigid registration of multiple generalized point sets with hybrid mixture models. IEEE Transactions on Automation Science and Engineering (IF=6.636). 2020 Jan;17(1):334-47. (ESI 高被引论文, 中科院一区)

[2] Zhang A, Min Z, Zhang Z, Meng MQ. Generalized Point Set Registration with Fuzzy Correspondences Based on Variational Bayesian Inference. IEEE Transactions on Fuzzy Systems (IF=12.253). 2022 June;30(6):1529-1540.(共同一作，中科院一区)

[3] Min Z, Wang J, Meng MQ. Joint Rigid Registration of Multiple Generalized Point Sets With Anisotropic Positional Uncertainties in Image-Guided Surgery. IEEE Transactions on Automation Science and Engineering (IF=6.636). 2022 Oct;19(4):3612-3627. (中科院一区)

[4] Min Z, Wang J, Pan J, Meng MQ. Generalized 3-D point set registration with hybrid mixture models for computer-assisted orthopedic surgery: From isotropic to anisotropic positional error. IEEE Transactions on Automation Science and Engineering (IF=6.636). 2021 Oct;18(4):1679-91. (中科院一区)

[5] Min Z, Meng MQ. Robust and accurate nonrigid point set registration algorithm to accommodate anisotropic positional localization error based on coherent point drift. IEEE Transactions on Automation Science and Engineering (IF=6.636). 2021 Oct;18(4):1939-55. (中科院一区)

[6] Min Z, Zhu D, Ren H, Meng MQ. Feature-guided nonrigid 3-D point set registration framework for image-guided liver surgery: From isotropic positional noise to anisotropic positional noise. IEEE Transactions on Automation Science and Engineering (IF=6.636). 2021 April;18(2):471-83. . (中科院一区)

[7] Min Z, Ren H, Meng MQ. Statistical model of total target registration error in image-guided surgery. IEEE Transactions on Automation Science and Engineering (IF=6.636). 2020 Jan;17(1):151-65. . (中科院一区)

[8] Min Z, Wang J, Meng MQ. Robust generalized point cloud registration with orientational data based on expectation maximization. IEEE Transactions on Automation Science and Engineering (IF=6.636). 2020 Jan;17(1):207-21. (中科院一区)

[9] Zhang A, Min Z, Zhang Z, Meng MQ. Anisotropic Generalized Bayesian Coherent Point Drift for Point Set Registration,  IEEE Transactions on Automation Science and Engineering (IF=6.636), 2023 Jan;20(1):495-505. (共同一作，中科院一区)

[10] Min Z, Liu J, Liu L, Meng MQ. Generalized coherent point drift with multi-variate gaussian distribution and watson distribution. IEEE Robotics and Automation Letters (IF=4.321). 2021 Oct;6(4):6749-56. (中科院二区)

[11] Zhang Z, Min Z, Zhang A, Wang J, Song S, Meng MQ. Reliable Hybrid Mixture Model for Generalized Point Set Registration. IEEE Transactions on Instrumentation and Measurement (IF= 5.332). 2021;70:1-0. (共同一作，中科院二区)

[12] Min Z, Zhu D, Liu J, Ren H, Meng MQ. Aligning 3D curve with surface using tangent and normal vectors for computer-assisted orthopedic surgery. IEEE Transactions on Medical Robotics and Bionics. 2021 May;3(2):372-83.

[13] Min Z, Meng MQ. General first-order target registration error model considering a coordinate reference frame in an image-guided surgical system. Medical & Biological Engineering & Computing (IF=3.079). 2020 Dec;58(12):2989-3002. (中科院三区)

[14] Min Z, Baum Z, Saeed SU, Emberton M, Barratt DC, Taylor ZA, Hu Y. Non-rigid Medical Image Registration using Physics-informed Neural Networks. arXiv preprint arXiv:2302.10343. 2023 Feb 20. (IPMI 2023接收，医疗图像处理领域顶级会议)

[15] Zhang A, Min Z, Yang X, Zhang Z, Pan J, Meng MQ. Generalized 3D Rigid Point Set Registration with Anisotropic Positional Error Based on Bayesian Coherent Point Drift. In IEEE International Conference on Robotics and Automation (ICRA), 2022 May 23 (pp. 3790-3796). (共同一作，机器人领域顶级会议)

[16] Zhang A, Min Z, Pan J, Meng MQ. Robust and Accurate Point Set Registration with Generalized Bayesian Coherent Point Drift. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 Sep 27 (pp. 516-523). (共同一作，机器人领域顶级会议)

[17] Min Z, Zhu D, Meng MQ. Generalized point set registration with the kent distribution. In IEEE International Conference on Robotics and Automation (ICRA) 2021 May 30 (pp. 7151-7158). (机器人领域顶级会议)

[18] Min Z, Zhu D, Meng MQ. Robust and accurate 3d curve to surface registration with tangent and normal vectors. In IEEE International Conference on Robotics and Automation (ICRA) 2020 May 31 (pp. 9953-9959). (机器人领域顶级会议)

[19] Min Z, Meng MQ. Robust generalized point set registration using inhomogeneous hybrid mixture models via expectation maximization. In IEEE International Conference on Robotics and Automation (ICRA) 2019 May 20 (pp. 8733-8739). (机器人领域顶级会议)

[20] Min Z, Pan J, Zhang A, Meng MQ. Robust non-rigid point set registration algorithm considering anisotropic uncertainties based on coherent point drift. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019 Nov 3 (pp. 7903-7910). (机器人领域顶级会议)

[21] Min Z, Wang J, Meng MQ. Robust generalized point cloud registration using hybrid mixture model. In IEEE International Conference on Robotics and Automation (ICRA) 2018 May 21 (pp. 4812-4818). (机器人领域顶级会议)

[22] Min Z, Wang J, Song S, Meng MQ. Robust generalized point cloud registration with expectation maximization considering anisotropic positional uncertainties. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2018 Oct 1 (pp. 1290-1297). (机器人领域顶级会议)

[23] Min Z, Ren H, Meng MQ. Ttre: A new type of error to evaluate the accuracy of a paired-point rigid registration. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017 Sep 24 (pp. 953-960). (机器人领域顶级会议)

[24] Min Z, Liu L, Meng MQ. Generalized non-rigid point set registration with hybrid mixture models considering anisotropic positional uncertainties. In International Conference on Medical Image Computing and Computer-Assisted Intervention(MICCAI) 2019 Oct 13 (pp. 547-555). Springer,  Cham. (医疗图像处理及计算机辅助介入领域顶级会议)

[25] Li Y, Fu Y, Yang Q, Min Z, Yan W, Huisman H, Barratt D, Prisacariu VA, Hu Y. Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning. In IEEE 19th International Symposium on Biomedical Imaging (ISBI) 2022 Mar 28 (pp. 1-5). (医疗图像处理领域顶级会议)

[26] Min Z, Meng MQ. General first-order TRE model when using a coordinate reference frame for rigid point-based registration. In IEEE 14th International Symposium on Biomedical Imaging (ISBI ) 2017 Apr 18 (pp. 169-173). (医疗图像处理领域顶级会议)

[27] Min Z, Ren H, Meng MQ. Estimation of surgical tool-tip tracking error distribution in coordinate reference frame involving pivot calibration uncertainty. Healthcare technology letters. 2017 Nov 16;4(5):193-8.

[28] Fu Y, Brown NM, Saeed SU, Casamitjana A, Delaunay R, Yang Q, Grimwood A, Min Z, Blumberg SB, Iglesias JE, Barratt DC. DeepReg: a deep learning toolkit for medical image registration. Journal of Open Source Software. 2020 Nov 4;5(55):2705.

[29] Min Z, Zhu D, Meng MQ. Accuracy assessment of an N-ocular motion capture system for surgical tool tip tracking using pivot calibration. In IEEE International Conference on Information and Automation (ICIA) 2016 Aug 1 (pp. 1630-1634).

[30] Pan J, Min Z, Shen Y, Liu T, Meng MQ. Sparse Branch-and-Bound 2D-3D Registration Based on Prior Correspondences of Dense Points. In IEEE International Conference on Advanced Robotics and Mechatronics (ICARM) 2022 Jul 9 (pp. 151-156).(共同一作, 最佳会议论文提名奖)

[31] Min Z, Bianco FJ, Yang Q, Rodell R, Yan W, Barratt D, Hu Y. Controlling false Positive/Negative rates for deep-Learning-Based prostate cancer detection on multiparametric MR images. In Medical Image Understanding and Analysis: 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12–14, 2021, Proceedings 25 2021 (pp. 56-70). Springer International Publishing.