人工智能学院-代煜导师介绍

更新于 2025-03-01 导师主页
代煜 教授 硕,博士生导师
人工智能学院
控制科学与工程
面向手术机器人的智能感知技术,智能医学图像处理
daiyu@nankai.edu.cn

      2002年7月毕业于哈尔滨工业大学自动化测试与控制系,获工学学士学位。分别于2004年7月以及2009年7月获哈尔滨工业大学仪器科学与技术学科工学硕士,博士学位。2009年7月入职南开大学机器人与信息自动化研究所,2015年1月被聘为副教授,2021年1月晋升为教授。2018年8月至2019年8月受国家留学基金委资助在美国约翰霍普金斯大学计算感知与机器人实验室做访问学者 。



     




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科研项目

国家自然科学基金面面上项目 《骨铣削手术机器人振动触觉反馈控制和技能学习方法研究》 (62173190)

天津市自然科学基金面上项目《面向骨切削手术的机器人听认知》(18JCYBJC18800)                              

 国家自然科学基金面面上项目 《基于折展结构的经自然腔道手术器械入路载体设计与优化》 (51875394)                               

 国家重点研发计划“智能机器人”专项《经输尿管肾内介入诊疗机器人系统》之课题3:术前影像与术中图像联合定位导引与虚拟内窥镜技术(2017YFB1302803)              

国家重点研发计划“数字诊疗装备研发”专项《多孔腔镜手术机器人系统设计与产品研发》之课题2:多孔腔镜手术机器人功能拓展技术研究 (2017YFC0110402)             

国家自然科学基金面面上项目 《面向脊柱外科切削手术的机器人触听觉术野仿生认知》 (61773223)                                

国家自然科学基金面青年项目 《基于非接触组织振动测量的骨外科手术机器人钻磨状态精准辨识》 (61403212)                                


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研究成果

2025

[1] Sun J, Xi R, Jiang Z, Xia G, Dai Y, Zhang J. Auditory perception based milling posture detection and depth control enhancement for orthopedic robots. Measurement, 2025, 239: 115448.

[2] Jiang C, Wang Y, Yu D, Zhang J. Dynamic residual distillation Cycle Consistent GAN for unpaired ultrasound image translation. Biomedical Signal Processing and Control, 2025, 105: 107578.

[3] Li M, Lü P, Liu Q, Dai Y, Zhang J. Leader-Follower Control Algorithm for Minimally Invasive Surgical Robot. Journal of Shanghai Jiaotong University (Science), 2025: 1-12.

[4] Zhou Y, Li T, Dai Y, Zhang J. Mee-SLAM: Memory efficient endoscopic RGB SLAM with implicit scene representation. Expert Systems with Applications, 2025, 269: 126235.

[5] Xin Y, Yin J, Zhao Y, Dai Y, Cui L, Yin X. Depth Estimation of Flexible Ureteroscope Images Based on Style Transfer. Journal of Tianjin University (Science and Technology), 2025, 58(01): 47-55. (in Chinese)

[6] Liu Y, Dai Y, Chen G. A Survey on Federated Learning in Medical Image Processing Tasks. Computer Science, 2025, 52(01): 183-193. (in Chinese)

2024

[1] Xia G, Jiang Z, Dai Y, Duan F. A Cutter Vibration Signal Processing Based State Monitoring Method for Improving Operation Safety of Spinal Automatic Drilling System. IEEE Transactions on Circuits and Systems II: Express Briefs, 2024, 71(8): 4015-4019.

[2] Xia G, Jiang Z, Zhang J, Dai Y. Acoustic Signal-Based Robotic Cutting Depth Control Under Uncertain Bone Layer Distribution. IEEE Sensors Journal, 2024, 24(09): 14726-14736.

[3] Sun J, Xia G, Jiang Z, Dai Y, Zhang J. Attention-Based CNN-LSTM for Enhanced Perception of Bone Milling States in Surgical Robots. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1-9.

[4] Chen G, Zhou L, Zhang L, Yin X, Cui L, Dai Y. ESKNet: An enhanced adaptive selection kernel convolution for ultrasound breast tumors segmentation. Expert Systems with Applications, 2024, 246: 123265.

[5] Liu Q, Dai Y, Li M, Yao B, Zhang J. FBG-Based Sensorized Surgical Instrument for Force Measurement in Minimally Invasive Robotic Surgery. IEEE Sensors Journal, 2024, 24(7): 11450-11458.

[6] Wang Y, Jiang C, Luo S, Dai Y, Zhang J. Graph Neural Network Enhanced Dual-Branch Network for lesion segmentation in ultrasound images. Expert Systems with Applications, 2024, 256:124835.

[7] Bai H, Wang R, Dai Y, Xue Y. Optimizing milling parameters based on full factorial experiment and backpropagation artificial neural network of lamina milling temperature prediction model. TECHNOLOGY AND HEALTH CARE, 2024, 32(1): 201-214.

[8] Xia G, Jiang Z, Dai Y. Pedicle drilling force control of a robotic surgical system via spine-soft tissue coupling model and parameters optimization. Computers in Biology and Medicine, 2024, 169: 107710.

[9] Jia W, Zhan Y, Zhang J, Dai Y. Robot assisted bone milling state classification network with attention mechanism. Expert Systems with Applications, 2024, 249: 123726.

[10] Xia G, Zhang L, Dai Y, Xue Y, Zhang J. Sound Feedback Fuzzy Control for Optimizing Bone Milling Operation During Robot-Assisted Laminectomy. IEEE Transactions on Fuzzy Systems, 2024, 32(04): 2341-2351.

[11] Xia G, Wang J, Yao B, Dai Y, Xue Y, Zhang J. Tactile Perception-Based Depth and Angle Control During Robot-Assisted Bent Bone Grinding. IEEE Transactions on Industrial Informatics, 2024, 20(01): 50-61.

[12] Zhou Y, Li R, Dai Y, Chen G, Zhang J, Cui L, Yin X. Taking measurement in every direction: Implicit scene representation for accurately estimating target dimensions under monocular endoscope. Computer Methods and Programs in Biomedicine, 2024, 256: 108380.

[13] Xia G, Jiang Z, Yao B, Dai Y. Viscoelastic modeling based force control framework for enhancing operation safety of soft tissue for orthopedic surgical robots. Computers in Biology and Medicine, 2024, 183: 109291.

[14] Sun J, Wang R, Xia G, Dai Yu, Zhang J. Automatic Control of Robot-Assisted Bone Milling State Based on Binaural Microphones. Chinese Journal of Scientific Instrument, 2024, 45(01): 259-268. (in Chinese)

[15] Zhou Z, Ke W, Hu J, Zhao Z, Dai Y. Temperature Modeling and Sensitivity Analysis of Robot-Assisted Bone Milling Considering Irrigant Fluid. Chinese Journal of Scientific Instrument, 2024, 45(11): 300-311. (in Chinese)

[16] Dai Y, Zhao Y, Yin J, Li R, Zhang J. Path Planning in Curved Pipes with Curvature and Boundary Distance Constraints. Journal of Tianjin University (Science and Technology), 2024, 57(10): 1010-1021. (in Chinese)

2023

[1] Chen G, Li L, Dai Y, Zhang J, Yap M. H. AAU-Net: An Adaptive Attention U-Net for Breast Lesions Segmentation in Ultrasound Images. IEEE Transactions on Medical Imaging, 2023, 42(05): 1289-1300.

[2] Chen G P, Zhao Y, Dai Y, Zhang J X, Yin X T, Cui L, Qian J. Asymmetric U-shaped network with hybrid attention mechanism for kidney ultrasound images segmentation. Expert Systems with Applications, 2023, 212: 118847.

[3] Chen G, Liu Y, Qian J, Zhang J, Yin X, Cui L, Dai Y. DSEU-net: A novel deep supervision SEU-net for medical ultrasound image segmentation. Expert Systems with Applications, 2023, 223: 119939.

[4] Yao B, Dai Y, Xia G, Zhang Z, Zhang J. High-Sensitivity and Wide Range Resistance Measurement Based on Self-Balancing Wheatstone Bridge and Gated Recurrent Neural Network. IEEE Transactions on Industrial Electronics, 2023, 70(5): 5326-5335.

[5] Wang R, Bai H, Xia G, Zhou J, Dai Y, Xue Y. Identification of milling status based on vibration signals using artificial intelligence in robot assisted cervical laminectomy. EUROPEAN JOURNAL OF MEDICAL RESEARCH, 2023, 28(1): 203.

[6] Li R, Chen G, Dai Y, Zhao Y, Xia G, Zhang J, Cui L, Yin X. Object dimension measurement based on monocular endoscope and 5-DOF sensor. Measurement, 2023, 206: 112293.

[7] Chen G, Li L, Zhang J, Dai Y. Rethinking the unpretentious U-net for medical ultrasound image segmentation. Pattern Recognition, 2023, 142: 109728.

[8] Chen G, Dai Y, Zhang J. RRCNet: Refinement residual convolutional network for breast ultrasound images segmentation. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 117: 105601.

[9] Dai Y, Xue Y, Zhang J, Li J. Vibration Feedback Control for Robotic Bone Milling. IEEE Transactions on Industrial Electronics, 2023, 70(10): 10312-10322.

[10] Zhang Z, Dai Y, Yao B, Zhang J. A Method for Eliminating Direct Current Drift Based on Piecewise Empirical Mode Decomposition. Journal of Harbin Institute of Technology, 2023, 55(04): 72-80. (in Chinese)

[11] Yao B, Zhang Z, Dai Y, Zhang J. Research on Dynamic Characteristics of Force Sensor Based on VFF-RLS. Journal of South China University of Technology (Natural Science Edition), 2023, 51(05): 86-94. (in Chinese)

[12] Xia G, Jiang Z, Dai Yu, Wang J, Xue Y, Zhang J. Bone Drilling Force Control of Surgical Robot Based on Rigid-Soft Coupling Model and Particle Swarm Optimization. Robot, 2023, 45(1): 28-37. (in Chinese)

2022

[1] Chen G, Yin J, Dai Y, Zhang J, Yin X, Cui L. A novel convolutional neural network for kidney ultrasound images segmentation. Computer Methods and Programs in Biomedicine, 2022, 218: 106712.

[2] Chen G P, Zhao Y, Dai Y, Zhang J X, Yin X T, Cui L, Qian J. Asymmetric U-shaped network with hybrid attention mechanism for kidney ultrasound images segmentation. Expert Systems with Applications, 2023, 212: 118847.

[3] Chen G, Dai Y, Zhang J. C-Net: Cascaded convolutional neural network with global guidance and refinement residuals for breast ultra sound images segmentation. Computer Methods and Programs in Biomedicine, 2022, 225: 107086.

[4] Chen G, Dai Y, Zhang J, Yin X, Cui L. MBANet: Multi-branch aware network for kidney ultrasound images segmentation. Computers in Biology and Medicine, 2022, 141: 105140.

[5] Chen G, Dai Y, Zhang J, Yin X, Cui L. MBDSNet: Automatic segmentation of kidney ultrasound images using a multi-branch and deep supervision network. Digital Signal Processing, 2022, 130: 103742.

[6] Xia G, Jiang Z, Zhang J, Wang R, Dai Y. Sound Pressure Signal-Based Bone Cutting Depth Control in Robotic Vertebral Lamina Milling. IEEE Sensors Journal, 2022, 22(11): 10708-10718.

[7] Xia G, Liu W, Bai H, Xue Y, Dai Y, Lei P, Zhang J. Surgical Tool Handle Vibration-Based Drilling State Recognition During Hip Fracture Fixation. ORTHOPAEDIC SURGERY, 2022, 14(11): 2964-2978.

[8] Xia G, Zhang L, Dai Y, Xue Y, Zhang J. Vertebral Lamina State Estimation in Robotic Bone Milling Process via Vibration Signals Fusion. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 1-11.

[9] Xia G, Wang J, Dai Y, Xue Y, Zhang J. Vibration-Based Cutting Depth Control and Angle Adjustment of Robotic Curved Bone Milling. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 1-10.

[10] Xia G, Wang J, Zhang J, Wang R, Bai H, Dai Y. Bone Milling State Perception and Motion Control in Robot-Assisted Laminectomy. Control Theory & Applications, 2022, 39(02): 285-298. (in Chinese)

[11] Xia G, Wang R, Zhang L, Zhang J, Dai Y. Thickness Recognition of Surgical Robot Lamina Milling Based on Vibration Signal Fusion. Journal of Tianjin University (Science and Technology), 2022, 55(10): 1016-1025. (in Chinese)

[12] Dai Y, Wang J, Cao G, Zhang J, Jia B. Vibration Signal Processing and State Classification for Drilling Process Monitoring. Journal of Vibration, Measurement & Diagnosis, 2022, 42(01): 89-95. (in Chinese)

[13] Li R, Dai Y, Zhang J, Xia G. Object Dimension Measurement Using the 5-DOF Electromagnetic Tracked Endoscope. Chinese Journal of Scientific Instrument, 2022, 43(06): 230-238. (in Chinese)

[14] Dai Y, Chen T, Wang G, Zhang C. Temperature Field Analysis of Vertebral Radiofrequency Ablation. Journal of Engineering Thermophysics, 2022, 43(10): 2798-2803. (in Chinese)

2021

[1] Wang J, Xia G, Dai Y, Zhang J. Robot-assisted Milling on the Bone Curved Surface Based on Vibrotactile Feedback. Robot, 2021, 43(4): 484-492. (in Chinese)

[2] Xia G, Dai Y, Zhang J. Milling depth control of lamina for orthopedic robot based on acoustic signals. Chinese Journal of Scientific Instrument, 2021, 42(2): 144-154. (in Chinese)

[3] Xia G, Dai Y, Zhang J, Jia B. A Method of Bone Cutting Depth Control for Surgical Robot Based on Acoustic Signals. Robot, 2021, 43(1): 101-111. (in Chinese)

[4] Zhang J, Yao B, Dai Y, Xia G. A Review of Force Sensing Technology in Robot-assisted Laparoscopic Surgery. China Mechanical Engineering, 2021, 32(21): 2521-2531. (in Chinese)

[4] Dai Y, Xue Y, Zhang J. Human-inspired haptic perception and control in robot-assisted milling surgery [J]. IEEE Transactions on Haptics, 2021, 14(2): 359-370.

2020

[1] Yao X-T, Dai Y, Zhang J-X, Ge J-T, Chen T, Yang H. ECG filtering and QRS extraction under steep pulse interference QRS. Chinese Journal of Engineering, 2020, 42(5): 654-662. (in Chinese)

[2] Zhang J-X, Han M-H, Dai Y. Three-dimensional porous structure reconstruction for low-resolution monocular endoscopic images. Optics and Precision Engineering, 2020, 28(9): 2085-2095. (in Chinese)

[3] Dai Y, Jia B, Zhang J, Cao G, Xia G. Motion Control of Milling Robot Based on Vibration Feedback. Journal of Tianjin University Science and Technology, 2020, 53(10): 1093-1100. (in Chinese)

[4] Yao B, Zhang J, Dai Y, Sun H. Research on decoupling method of multi-dimensional force sensor used in minimally invasive surgical robot . Chinese Journal of Scientific Instrument, 2020, 41(1): 147-153. (in Chinese)     

2019                        

[1] Z. Jiang, Y. Dai, J. Zhang, and H. Sun, "Tremor reduction of the master arm for master-slave surgical robot," Robot, vol. 41, no. 3, pp. 327-333, 2019. (in Chinese)                        

[2] J. Zhang, J. Ge, Y. Dai, and X. Yao, "A level set evolution method for ultrasound image sequence segmentation," Journal of Tianjin University Science and Technology, vol. 52, no. 6, pp. 568-575, 2019. (in Chinese)                        

[3] F. Q. Shao, M. Y. Tang, H. Bai, Y. Xue, Y. Dai, and J. X. Zhang, "Drilling condition identification based on sound pressure signal in anterior cervical discectomy surgery," Medical Science Monitor, vol. 25, pp. 6574-6580, Sep 2019.                                      

2018                        

[1] C. Zhang, X. Han, P. Douglas, Y. Dai, and G. Wang, Bipolar radiofrequency ablation of spinal tumors: The effect of the posterior vertebral cortex defect on temperature distribution in the spinal canal, American Journal of Neuroradiology, 2018, 39(1): E1-E2.                 [2] Y. Dai, Y. Xue, and J. Zhang, Bio-inspired integration of auditory and haptic perception in bone milling surgery, IEEE/ASME Transactions on Mechatronics, 2018, 23(2): 614-623.                        

[3] J. Liu, J. Zhang, Y. Dai and H. Su, Dense Stereo Matching Based on Cross-Scale Guided Image Filtering. Acta Optica Sinica,  2018, 38(1): 0115004. (in Chinese)                          

2017                        

[1] J. Liu, J. Zhang, and Y. Dai, Dense stereo matching based on region growing. Robot. 2017, 39(2): 182-188. (in Chinese)                    

[2] Xue Y., Bai H., Tang M., Dai Y., and Zhang J., Possibility of tissue discrimination in the anterior approach of the cervical spine by Electrical impedance. Chinese Journal of Orthopaedics.  2017, 37(12): 1-10. (in Chinese)              

2016                        

[1] Dai, Y., X. Yuan, and J. Zhang, Milling state identification based on vibration sense of a robotic surgical system. IEEE Transactions on Industrial Electronics, 2016, 23(10): 6184-6193.                        

[2] D. Lv, J. Zhang, and Y. Dai, Analysis and compensation of stray parameters in high-voltage pulse generator circuits. Chinese Journal of Engineering. 2016. 38(5): 734-744. (in Chinese)                        

[3] Dai, Y, Y Xue, and J Zhang, A continuous wavelet transform approach for harmonic parameters estimation in the presence of impulsive noise. Journal of Sound and Vibration. 2016, 360: 300-314.        

2015              

[1] Dai, Y., Y. Xue, and J.-X. Zhang, Bone milling condition monitoring based on sound signal processing. Journal of Vibration and Shock, 2015. 34(22): 19-23. (in Chinese)                        

[2] Feng, C., J. Zhang, R. Liang, Y. Dai, and L. Cui, A lung region segmentation method based on the fractal theory and the minimal convex hull method. Journal of Tianjin University Science and Technology, 2015. 48(10): 937-946. (in Chinese)                        

[3] Dai Y, Du J, Yang Q, Zhang J X. Development of a noninvasive electrical impedance probe for minimally invasive tumor localization. Physiological Measurement. 2015, 36(9): 1785-1799.                   

[4] Dai Y, Xue Y, Zhang J. Vibration-Based Milling Condition Monitoring in Robot-Assisted Spine Surgery.IEEE/ASME Transactions on Mechatronics. 2015, 20(6): 3028-3039.              

2014            

[1] Dai Y, Xue Y, Zhang J X. Drilling Electrode for Real-Time Measurement of Electrical Impedance in Bone Tissues. Annals of Biomedical Engineering, 2014, 42(3): 579-588.                        

[2] Dai Y, Xue Y, Zhang J X. Noncontact Vibration Measurement Based Thoracic Spine Condition Monitoring During Pedicle Drilling. IEEE/ASME Transactions on Mechatronics, 2014, 19(5): 1532-1540.                        

[3] Dai Y, Du J, Yang Q, Zhang J X. Noninvasive Electrical Impedance Sensor for In Vivo Tissue Discrimination at Radio Frequencies. Bioelectromagnetics, 2014, 35(6): 385-395.                        

[4] Feng C, Zhang J X, Dai Y, A relay active contour model for image segmentation based on edge and region information. Chinese High Technology Letters, 2013. 23(4): 421-429. (in Chinese)                

2013              

[1] Dai Y, Zhang J X, Xue Y. Use of wavelet energy for spinal cord vibration analysis during spinal surgery. International Journal of Medical Robotics and Computer Assisted Surgery, 2013, 9(4): 433-440.                        

[2] Dai Y, Yang Q, Zhang J X, Du J. An Artificial Neural Network Approach to the Predictive Modeling of Tensile Force during Renal Suturing. Annals of Biomedical Engineering, 2013, 41(4): 786-794.  

2012            

[1] Dai Y, Zhang J X. Dispersion compensation for an ultrathin metal film using LCD-CCD system. Chinese Physics B, 2012, 21(10): 104203.                

[2] Dai Y, Zhang J-X. Identification of modal parameters based on wavelet transform and back propagation network. Journal of Vibration and Shock, 2012, 31(3): 55-59. (in Chinese)                

2011                

[1] Dai Y, Zhang J X. Stereoscopic visualization based on splitting of two-way polarized image beams. Acta Physica Sinica, 2011, 60(8): 084205.  (in Chinese)             

[2] Dai Y, Zhang J X. Reduction of 1/f noise in semiconductor devices based on wavelet transform and Wiener filter. Acta Physica Sinica, 2011, 60(11): 110516.  (in Chinese)                

2009                

[1] Dai Y, Sun H-Y, Li H-P, Tang W-Y. Identification of weak nonlinearities in damping and stiffness based on wavelet transform. Journal of Vibration and Shock, 2009, 28(2): 51-55. (in Chinese)              

2008                

[1] Dai Y, Sun H-Y, Li H-P, Tang W-Y. Natural frequencies and damping estimation based on continuous wavelet transform. Journal of Harbin Institute of Technology (New Series), 2008, 15(6): 794-800. (in Chinese)               

[2] Dai Y, Ma Q, Tang W Y. Efficient wavelet ridge extraction method for asymptotic signal analysis. Review of Scientific Instruments, 2008, 79(12): 124703. 


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学校介绍

南开111.jpg


南开大学是教育部直属重点综合性大学,是敬爱的周恩来总理的母校。新中国成立以来,学校发展始终得到党和国家的亲切关怀。毛泽东主席题写校名、亲临视察;周恩来总理三回母校指导;邓小平同志会见数学大师陈省身,批示成立南开数学研究所;江泽民同志、胡锦涛同志先后视察南开。特别是党的十八大以来,习近平总书记多次对南开的发展给予肯定,并对相关工作回信和勉励,更在百年校庆之际亲临南开视察。


南开大学由严修、张伯苓秉承教育救国理念创办,肇始于1904年,成立于1919年。1937年校园遭侵华日军炸毁,学校南迁。1938年与北京大学、清华大学合组西南联合大学,被誉为“学府北辰”。1946年回津复校并改为国立。


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新中国成立后,经历高等教育院系调整,成为文理并重的全国重点大学。改革开放以来,天津对外贸易学院、中国旅游管理干部学院相继并入,经教育部与天津市共建支持,学校发展成为国家“211工程”和“985工程”重点建设的综合性研究型大学。2015年9月,新校区建成启用后,初步形成了八里台校区、津南校区、泰达学院“一校三区”办学格局。2017年9月,入选国家42所世界一流大学建设高校,且为36所A类高校之一。


南开大学坚持“允公允能,日新月异”的校训,弘扬“爱国、敬业、创新、乐群”的传统和“文以治国、理以强国、商以富国”的理念,以“知中国,服务中国”为宗旨,以杰出校友周恩来为楷模,作育英才,繁荣学术,强国兴邦,传承文明,努力建设世界一流大学。


南开大学占地443.12万平方米,其中八里台校区占地121.60万平方米,津南校区占地245.89万平方米,泰达学院占地6.72万平方米。校舍建筑总面积195.19万平方米。按照“独立办学、紧密合作”的原则,与天津大学全面合作办学。


南开大学是国内学科门类齐全的综合性、研究型大学之一。在长期办学过程中,形成了文理并重、基础宽厚、突出应用与创新的办学特色。有专业学院26个,学科门类覆盖文、史、哲、经、管、法、理、工、农、医、教、艺等。


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南开大学拥有一支公能兼备、业务精湛、奋发有为、充满活力的师资队伍。有专任教师2202人。其中,博士生导师885人、硕士生导师783人,教授898人、副教授857人。


南开大学具备培养学士、硕士和博士的完整教育体系。有在校学生31418人,其中本科生17005人,硕士研究生10299人,博士研究生4114人。有网络专科学生40230人,网络本科学生73029人。


学校积极构建和发展适应21世纪经济社会发展和人才培养需要的学科体系,有本科专业93个(其中国家级特色专业18个),硕士学位授权一级学科11个,硕士专业学位授权点27个,博士学位授权一级学科31个,不在一级学科覆盖下的二级博士点1个,博士后科研流动站28个。有国家“双一流”建设学科5个,一级学科国家重点学科6个(覆盖35个二级学科),二级学科国家重点学科9个,一级学科天津市重点学科32个,国家级一流本科专业建设点21个,省级一流本科专业建设点2个。有国家重点实验室2个,国家工程研究中心1个,国家地方联合工程研究中心1个,2011协同创新中心3个。教育部重点实验室7个,教育部工程研究中心3个,教育部国际合作联合实验室2个,国家环境保护重点实验室1个,国家人权教育与培训基地1个,教育部人文社会科学重点研究基地6个,省部共建协同创新中心1个,教育部国别和区域研究基地7个(培育基地1个、备案基地6个),示范性国家国际科技合作基地4个。国家级实验教学示范中心5个,国家级虚拟仿真实验教学中心2个,国家虚拟仿真实验教学项目2项,国家基础学科人才培养和科学研究基地9个,国家教材建设重点研究基地1个,国家大学生文化素质教育基地1个,中华传统文化传承基地2个,国家创新人才培养示范基地1个。天津市重点实验室20个,天津市工程技术中心4个,天津市普通高等学校实验教学示范中心14个,天津市普通高等学校实验教学示范中心建设单位1个,天津市国际科技合作基地22个,天津市人文社科重点研究基地9个,天津市高校智库8个,天津市社科实验室5个,天津市爱国主义教育基地1个。


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有中国科学院院士11人,中国工程院院士4人,发展中国家科学院院士8人,教育部“长江学者奖励计划”特聘教授44人、青年学者19人,“国家杰出青年科学基金”获得者57人、“国家优秀青年科学基金”获得者39人,国家“万人计划”领军人才27人、青年拔尖人才15人,国家“百千万人才工程”入选者30人,教育部“跨世纪人才基金”获得者21人、“新世纪优秀人才支持计划”入选者158人,国家级有突出贡献的专家22人,国务院学位委员会学科评议组成员16人,国家自然科学基金创新研究群体负责人6人,“国家高技术研究发展计划(863计划)”首席科学家3人,“国家重点基础研究发展计划(973计划)”首席科学家15人,国家重点研发计划项目负责人24人。国家级教学名师奖获得者7人,国家级教学团队9个,教育部“高校青年教师奖”获得者8人。天津市杰出人才8人,天津市“人才发展特殊支持计划”领军人才3人、青年拔尖人才11人、高层次创新创业团队带头人11人,天津市有突出贡献专家7人,天津市杰出津门学者3人,天津市“131”创新人才培养工程第一层次人选63人、创新型人才团队带头人17人,“天津市杰出青年科学基金”获得者40人,天津市级教学名师奖获得者35人,天津市级教学团队18个。


南开大学既是教学中心,又是科研中心,取得了一批国内外公认的优秀成果。2019年,周其林院士领衔完成的“高效手性螺环催化剂的发现”项目获国家自然科学奖一等奖。2007—2018年以第一单位获得国家自然科学二等奖4项,国家科技进步二等奖1项,国家技术发明二等奖1项。获国家教学成果奖46项,国家级精品资源共享课31门,国家级精品视频公开课15门,国家级一流本科课程31门,中国专利优秀奖1项,中国青年科技奖2项,全国百篇优秀博士论文累计入选20篇。2018年以来,南开学者团队以第一完成单位在Science上发表研究论文6篇。


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南开大学秉承“知中国,服务中国”的优良传统,立足“四个服务”职责使命,聚焦“一带一路”、京津冀协同发展、雄安新区建设等国家和区域发展战略,积极发挥学科、人才和技术优势,努力为国家和地方经济社会发展服务。习近平新时代中国特色社会主义思想研究院、21世纪马克思主义研究院、亚太经济合作组织研究中心、中国新一代人工智能发展战略研究院、经济与社会发展研究院、滨海开发研究院、人权研究中心、津南研究院、统计研究院、生态文明研究院等研究机构是国家有关部委和地方政府的“智囊团”和“人才库”。学校按照“国家急需,世界一流”的原则,全面对接“创新驱动发展”战略、“中国制造2025”等的实施,积极推动各类协同创新中心和若干高层次交叉科学中心建设,与一批高校、企业、科研院所、政府部门建立了紧密合作关系。


南开大学重视学生德、智、体、美、劳全面发展,构建南开特色的“公能”素质教育体系,探索“课堂教学-校园文化-社会实践”三位一体育人模式。以“注重素质、培养能力、强化基础、拓宽专业、严格管理、保证质量”为教学指导思想,实行弹性学制、学分制、主辅修制、双学位制。注重培育优良校风,大力加强校园文化建设,为学生营造丰富高雅、活泼向上的成长氛围。推进创新创业教育,开办“创业班”,推进“南开大学学生创新创业实践基地”建设,提升学生创新能力,助力学生创业计划落地。大力开展“师生同行”社会实践,搭建师生“受教育、长才干、作贡献”的互动平台。南开毕业生以专业基础扎实、综合素质全面、富于开拓精神和实践能力而受到社会各界青睐。


南开大学有着广泛的国际影响,与320多所国际知名大学和国际学术机构建立了合作与交流关系;有专兼职外国专家400余人,以及来自114个国家和地区的2000余名留学生在校学习;承建了英国格拉斯哥大学孔子学院等8所海外孔子学院;与英国牛津大学、伯明翰大学、韩国SK集团共建国际联合研究中心;与世界经济论坛(达沃斯论坛)、全球大学领导者论坛(GULF)、国际公立大学联盟(IFPU)、国际大学联合会(IAU)、世界工程组织联合会(WFEO)等国际组织保持着密切联系,通过积极参与各类国际组织活动,进一步推动与世界一流大学、机构的实质性、深层次合作。


 南开大学先后授予数学家陈省身、物理学家吴大猷、经济学家扬·米尔达尔、美国科学院院士蒋-卡洛·若塔、哈佛大学医学院教授摩斯·居达·福克曼、台湾海基会前董事长江丙坤、美国莱斯大学校长李达伟、世界经济论坛主席克劳斯·施瓦布、新加坡总统陈庆炎、法国宪法委员会主席洛朗·法比尤斯等10位国际著名人士名誉博士称号。诺贝尔奖获得者杨振宁、李政道、罗伯特·蒙代尔、彼得·杜赫提、卡尔·巴里·夏普莱斯、弗农·洛马克斯·史密斯、罗伯特·恩格尔、巴里·詹姆斯·马歇尔、托马斯·萨金特,美国前国务卿基辛格,韩国前总统金大中,欧盟委员会前主席、意大利前总理罗马诺·普罗迪,著名作家金庸等被聘为名誉教授,一批海内外知名学者、著名政治家、企业家任客座教授、兼职教授。

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南开大学将深入贯彻落实习近平总书记来校视察重要讲话精神,全面贯彻党的教育方针,坚持社会主义办学方向,落实立德树人根本任务,践行“四个服务”重要使命,加快建设南开品格、中国特色、世界一流大学,培养德智体美劳全面发展的社会主义建设者和接班人,为实现中华民族伟大复兴做出新一代南开人的历史贡献。

(数据截至2020年12月)


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