个人资料：
姓名：曾明
职称：副教授/博士生导师
学科专业：控制科学与工程/检测技术与自动化装置学科
通讯地址：天津大学电气自动化与信息工程学院26教学楼E区317室
电子信箱：zengming@tju.edu.cn
主要经历：
(1) 2011.01-至今 天津大学机器人与自主系统研究所，副所长
(2) 2017.04-至今 天津大学电气自动化与信息工程学院，自动化系，副教授，博士生导师
(3) 2007.06-2017.03 天津大学电气自动化与信息工程学院，自动化系，副教授，硕士生导师
(4) 2014.07-2015.08 美国堪萨斯大学电子与计算机工程学院，国家公派访问****
(5) 2009.01-2009.11 香港城市大学MEEM，高级副研究员
(6) 2006.07-2007.06 天津大学电气自动化与信息工程学院，自动化系，讲师
主要研究方向：
(1) 图像处理、模式识别与机器学习
(2) 嗅探机器人技术
(3) 复杂气态流场流动及演化机理
(4) 非线性时间序列分析
主要科研项目：
(1) 国家自然科学基金面上项目“机器人气体泄漏源定位关键问题研究”，项目负责人
(2) 国家自然科学青年基金项目“基于视觉注意机制及视嗅觉融合的气体泄漏源自主搜寻”，项目负责人
(3) 天津市应用基础研究计划项目“气体泄漏源视觉定位方法研究”，项目负责人
(4) 天津大学青年教师培养基金重点项目“基于多感知信息融合的气味源定位策略研究”，项目负责人
(5) 国家重点研发计划项目“面向深海区域混合结构探测的多关节潜器研发”，排名第五
(6) 国家高技术研究发展计划（863计划）“气味寻踪机器人系统关键技术研究”，第二完成人
(7) 国家高技术研究发展计划（863计划）“机器人辅助显微外科手术系统”，第三完成人
(8) 国家自然科学基金项目“三维时变气流环境下机器人寻踪气味源方法研究”，第二完成人
(9) 国家自然科学基金项目“动态气流环境中机器人主动嗅觉鲁棒寻源方法研究”，第三完成人
代表性论著、学术著作：
至今共发表SCI或EI检索论文80余篇。
代表学术论文：
(1) Xiao-nei Zhang, Ming Zeng and Qing-hao Meng. Multivariate multifractal detrended fluctuation analysis of 3D wind field signals. Physica A Statistical Mechanics & Its Applications, 2018, 490: 513-523. (SCI)
(2) Jia-ying Wang, Qing-hao Meng, Bing Luo and Ming Zeng. A multiple-fan active control wind tunnel for outdoor wind speed and direction simulation. Review of Scientific Instruments, 2018, 89: 035108.
(3) Xiao-nei Zhang, Ming Zeng and Qing-hao Meng. Asymmetric multiscale multifractal analysis of wind speed signals. International Journal of Modern Physics C, 2017, 28(11):**(26 pages). (SCI)
(4) Ming Zeng, Er-hong Wang, Ming-yuan Zhao, Qing-hao Meng. Directed weighted complex networks based on time series symbolic pattern representation. Acta Physica Sinica，2017,66(21):210502 (11 pages). (SCI)
(5) Wei Zhao, Qing-Hao Meng, Ming Zeng and Pei-Feng Qi. Stacked Sparse Auto-Encoders (SSAE) Based Electronic Nose for Chinese Liquors Classification. Sensors 2017, 17(12), 2855. (SCI)
(6) Pei-Feng Qi, Ming Zeng, Zhi-Hua Li, Biao Sun, and Qing-Hao Meng. Design of a portable electronic nose for real-fake detection of liquors. Review of Scientific Instruments, 2017: 1-10. (SCI)
(7) Ming Zeng, Jing-hai Li, Qing-hao Meng. Temporal-spatial cross-correlation analysis of non-stationary near-surface wind speed time series. Journal of Central South University, 2017,24(3):692-698. (SCI)
(8) Ya-Qi Jing, Qing-Hao Meng, Pei-Feng Qi, Ming Zeng, and Jing-Jie Liu. Signal Processing Inspired from the Olfactory Bulb for Electronic Noses. Measurement Science and Technology, 2017, 28 (1): 015105 (13 pages). (SCI)
(9) Pei-Feng Qi, Qing-Hao Meng, Ya-Qi Jing, Ying-Jie Liu, and Ming Zeng.A Bio-Inspired Breathing Sampling Electronic Nose for Rapid Detection of Chinese Liquors.IEEE Sensors Journal, 2017, 17 (15): 4689-4698. (SCI)
(10) Qing-Hao Meng, Pei-Feng Qi, Kai Wu, Shao-Hui Zhu, and Ming Zeng. 2-D Wind Velocity Measurement Using a Vertically Suspended Optical Fiber Combined with a Photosensor Array. IEEE Transactions on Instrumentation and Measurement, 2017, 66 (8): 2074-2082. (SCI)
(11) Bing Luo, Qing-Hao Meng, Jia-Ying Wang, and Ming Zeng. A Flying Odor Compass to Autonomously Locate the Gas Source. IEEE Transactions on Instrumentation and Measurement, 2017, 67(1): 137-149. (SCI)
(12) Hui-rang Hou, Qing-hao Meng, Ming Zeng, Biao Sun. Improving Classification of Slow Cortical Potential Signals for BCI Systems with Polynomial Fitting and Voting-Support-Vector-Machine. IEEE Signal Processing Letters, 2017. (SCI)
(13) Xiao-qian Mao, Wei Li, Hui-dong He, Bin Xian, Ming Zeng, Hui-hui Zhou. Object Extraction in Cluttered Environments via a P300-Based IFCE. Computational Intelligence & Neuroscience, 2017, 2017(1):**. (SCI)
(14) Zeng Ming, Zhang Xiao-Nei, LI Jing-Hai, Meng Qing-Hao. The scaling properties of high-frequency wind speed records based on multiscale multifractal analysis. Acta Physica Polonica B, 2016, 47(9): 2205-2224. (SCI)
(15) Ya-Qi Jing, Qing-Hao Meng, Pei-Feng Qi, Meng-Li Cao, Ming Zeng, and Shu-Gen Ma. A Bio-Inspired Neural Network for Data Processing in an Electronic Nose. IEEE Transactions on Instrumentation and Measurement, 2016: 1-11. (SCI)
(16) Yu-Teng Wei, Qing-Hao Meng, Ya-Qi Jing, Ying-Jie Liu, and Ming Zeng. A Portable Odor-Tracing Instrument. IEEE Transactions on Instrumentation and Measurement, 2016, 65 (3): 631-642. (SCI)
(17) Jingwei Sun, Xianghui Wang, Shengjiang Chang, Ming Zeng, Si Shen, and Na Zhang. Far-field radiation patterns of second harmonic generation from gold nanoparticles under tightly focused illumination, Optics Express, 2016, 24(7):7477-7487. (SCI)
(18) Jing Ya-qi, Meng Qing-hao, Qi Pei-feng, Zeng Ming, Li Wei, Ma Shu-gen. Electronic Nose with a New Feature Reduction Method and a Multi-linear Classifier for Chinese Liquor Classification. Review of Scientific Instruments, 2014, 85(5): 055004. (SCI)
(19) Ming Zeng, You-fu Li, Qing-hao Meng. Improving Histogram-based Image Contrast Enhancement Using Gray-level Information Histogram with Application to X-ray Images. Optik-International Journal for Light and Electron Optics, 2012, 123: 511-520. (SCI)
(20) Bing-zhong Huo, Xiang-hui Wang, Sheng-jiang Chang and Ming Zeng. Second Harmonic Generation of a Single Centrosymmetric Nanosphere Illuminated by Tightly Focused Cylindrical Vector Beams. J. Opt. Soc. Am. B, 2012, 29(7):1631-1640. (SCI)
(21) Ji-gong Li, Qing-hao Meng, Yang Wang, and Ming Zeng. Odor Source Localization Using a Mobile Robot in Outdoor Airflow Environments with a Particle Filter Algorithm. Autonomous Robots, 2011, 30 (3): 281-292. (SCI)
(22) Qing-hao Meng, Wei-xing Yang, Yang Wang and Ming Zeng. Collective Odor Source Estimation and Search in Time-Variant Airflow Environments Using Mobile Robots. Sensors, 2011, 11:10415-10443. (SCI)
(23) Ming Zeng, Qing-hao Meng, Xiang-hui Wang, Ya-nan Qiu. Image Enhancement Based on Visual Attention Mechanisms. Acta Photonica Sinica, 2009, 38 (5): 1283-1287.
第一发明人专利：
(1) 基于视觉注意机制的气体泄漏源搜寻方法.发明专利. 2008.
(2) 动态整合多种搜寻策略的气体泄漏源搜寻方法.发明专利. 2008.
(3) 基于累积边缘点可视灰度范围直方图的图像二值化方法.发明专利. 2011.
(4) 基于图论的视觉注意焦点转移轨迹规划方法.发明专利. 2011.
(5) 近地面风场不同空间点全时间尺度空间相关性分析方法.发明专利. 2015.
(6) 融合经验模态分解降噪和复杂网络分析的风场表征方法.发明专利. 2015.
(7) 不同地域风场时间序列方向性波动的关联度测算方法.发明专利. 2016.
(8) 基于时间序列模式表征的加权有向复杂网络建网方法.发明专利. 2016.
(9) 基于图像微结构频数分析的时间序列复杂度测算方法.发明专利. 2016.
(10) 一种数量多且维数高的图像局部特征点自适应聚类方法.发明专利. 2016.

主要讲授课程：
(1) 控制系统设计与仿真（本科生）
(2) 数字图像处理（本科生）

其他（社会兼职等）：
(1) 2014.01至今：中国人工智能学会智能产品与产业工作委员会委员
(2) 2008年至今IEEE会员