Qing-Hao Meng, PhD, Professor (doctoral supervisor), vice dean of School of Electrical and Information Engineering (Tianjin University), director of Institute of Robotics and Autonomous System (http://robot.tju.edu.cn).

He received the B.E. and M.E. degrees from Hebei University of Technology, Tianjin, China, in 1991 and 1994, respectively, and the Ph.D. degree from Tianjin University (TJU), China, in 1997. He was a Research Associate with Bundeswehr University Munich (Germany) and the University of Applied Sciences Ravensburg-Weingarten (Germany) from 2000 to 2003. He has been a Professor with the School of Electrical and Information Engineering, TJU, since 2004. In 2007, he was the winner of Education Ministry's New Century Excellent Talents Supporting Plan.

Over the past 10 years, he was the PI of more than 10 key projects, including the National Key Research and Development Plan, the National Natural Science Foundation of China, the ‘863’ Plan of Ministry of Science and Technology of China, the Sino German International Cooperation Program and Tianjin Science and Technology Support Plan. He has published more than 200 research papers and has been granted more than 10 invention patents in China. His current research interests include bionic olfaction, autonomous robot perception, navigation, and control.

• 1.  Autonomous Robotics: Perception, Navigation and Control
  
  2.  Bionic Olfaction: Active olfaction (odor/gas plume tracing, odor source localization and plume modeling) and electronic nose (gas sensor array design, odor/gas identification).

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• [24] Qing-Hao Meng, Ming-Lu Zhang, Da-Wei Liu and Yi-Cai Sun. Wall-Following by an Autonomously Guided Vehicle (AGV) Using a New Fuzzy-I (Integration) Controller. Robotica, 1999, 17: 79-86..2017
• [23] Qing-Hao Meng, Yi-Cai Sun and Zuo-Liang Cao. Adaptive Extended Kalman Filter (AEKF) Based Mobile Robot Localization Using Sonar. Robotica, 2000, 18: 459-473..2017
• [22] Qinghao Meng, Rainer Bischoff. Odometry Based Pose Determination and Errors Measurement for a Mobile Robot with Two Steerable Drive Wheels. Journal of Intelligent & Robotic Systems, January 2005, 41 (4): 263-282..2017
• [21] Qinghao Meng. Rapid Door Number Recognition by a Humanoid Mobile Robot. Journal of Intelligent & Robotic Systems, May 2005, 43 (1): 33-54..2017
• [20] Qing-Hao Meng, Shao-Ying Lan, Zhen-Jing Yao, Gen-Wang Li. Real-time Noncrosstalk Sonar System by Short Optimized Pulse Position Modulation Sequences. IEEE Transactions on Instrumentation and Measurement, 2009, 58 (10): 3442-9. .2017
• [19] Qing-Hao Meng, Zhen-Jing Yao, and Han-Yang Peng. Improvement of Energy Efficiency via Spectrum Optimization of Excitation Sequence for Multichannel Simultaneously Triggered Airborne Sonar System. Review of Scientific Instruments, 2009, 80 (12): 1-7..2017
• [18] Zhen-Jing Yao, Qing-Hao Meng, and Ming Zeng. Improvement in the Accuracy of Estimating the Time-Of-Flight in an Ultrasonic Ranging System Using Multiple Square-Root Unscented Kalman Filters. Review of Scientific Instruments, 2010, 81 (10): 1-7..2017
• [17] 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..2017
• [16] 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, Nov. 2011, 11 (11): 10415-10443..2017
• [15] Qing-Hao Meng, Wei-Xing Yang, Yang Wang, Fei Li, and Ming Zeng. Adapting an Ant Colony Metaphor for Multi-Robot Chemical Plume Tracing. Sensors, Apr. 2012, 12 (4): 4737-4763..2017
• [14] Ya-Qi Jing, Qing-Hao Meng, Pei-Feng Qi, et al. Electronic Nose with A New Feature Reduction Method and A Multi-Linear Classifier for Chinese Liquor Classification. Review of Scientific Instruments, May 2014, 85 (5): 1-12..2017
• [13] 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, March 2016, 65 (3): 631-642..2017
• [12] Meng-Li Cao, Qing-Hao Meng, Ya-Qi Jing, Jia-Ying Wang, and Ming Zeng. Distributed Sequential Location Estimation of a Gas Source via Convex Combination in WSNs. IEEE Transactions on Instrumentation and Measurement, June 2016, 65 (6): 1484-1494..2017
• [11] 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, 65 (10): 2369-2380..2017
• [10] Xue-Mei Jia, Qing-Hao Meng, Ya-Qi Jing, Pei-Feng Qi, Ming Zeng, and Shu-Gen Ma. A New Method Combining KECA-LDA with ELM for Classification of Chinese Liquors Using Electronic Nose. IEEE Sensors Journal, 2016, 16 (22): 8010-8017..2017
• [9] Qing-Hao Meng, Pei-Feng Qi, Kai Wu, Shao-Hui Zhu, and M. Zeng. 2-D Wind Velocity Measurement Using a Vertically Suspended Optical Fiber Combined With a Photo Sensor Array. IEEE Transactions on Instrumentation and Measurement, 66 (8): 2074-2082..2017
• [8] 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, 1-12..2017
• [7] 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 (13pp).2017
• [6] Qi-Pei Feng, 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..2017
• [5] 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..2017
• [4] YaoSong, BingLuo, and Qing-Hao Meng. A Rotor-Aerodynamics-based Wind Estimation Method Using A Quadrotor. Measurement Science and Technology, 2017: 015105..2017
• [3] 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, 2855; doi: 10.3390/ s17122855. .2017
• [2] 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, 99: 1-1..2017
• [1] Ying-Jie Liu; Qing-Hao Meng; Pei-Feng Qi; Biao Sun; Xin-Shan Zhu. Using Spike-Based Bio-Inspired Olfactory Model for Data Processing in Electronic Noses. IEEE Sensors Journal, 2018, 18 (2): 692 - 702. .2017