个人资料：
姓名：侯惠让
职称：副教授/硕士生导师
学科专业：控制科学与工程
电子信箱：houhuirang@tju.edu.cn
电话：13652145095
通讯地址：天津大学电气自动化与信息工程学院第26教学楼E区615室
工作经历：
(1) 2020.07-至今 天津大学 电气自动化与信息工程学院 自动化系，讲师
(2) 2013.09-2020.07 天津大学 电气自动化与信息工程学院 自动化系，硕博连读
研究领域：
(1) 电子鼻（机器嗅觉）、嗅觉脑电
(2) 机器人、嵌入式设计
(3) 机器学习、深度学习
主要科研项目：
(1) 2023.01-2025.12：国家自然科学基金, 负责人
(2) 2022.11-2023.11：南方电网数字电网研究院项目, 负责人
(3) 2022.05-2023.05：大学生创新创业项目（国家级）, 指导老师
(4) 2022.01-至今：天津大学自主创新基金, 负责人
(5) 2021.06-至今：中国博士后科学基金面上项目, 负责人
(6) 2021.07-至今：北京机械设备研究所项目, 负责人
(7) 2021.04-2022.02：应急管理部天津消防研究所项目, 负责人
(8) 2021.01-2021.12：天津大学自主创新基金, 负责人
(9) 2017.07-2021.06：国家重点研发计划项目, 主要参与人
代表性论著、学术著作：
代表性论文：
(1) H. R. Hou, Q. H. Meng, P. F. Qi, T. Jing*. A hand-held electronic nose system for rapid identification of Chinese liquors. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 2006411.
(2) H. R. Hou, Q. H. Meng, L. C. Jin*. A double triangular feature-based sensor sequence coding approach for identifying Chinese liquors using an e-nose system. IEEE Sensors Journal, 2022, 22(5): 3878-3887.
(3) M. Jabeen, Q. H. Meng, T. Jing, H. R. Hou*. Robot odor source localization in indoor environments based on gradient adaptive extremum seeking search, Building and Environment, 229, 2023.
(4) Z. Yan, Q. H. Meng, T. Jing*, S. W. Chen, H. R. Hou*. A deep learning-based indoor odor compass, IEEE Transactions on Instrumentation and Measurement, 2023.
(5) H. R. Hou, Q. H. Meng*. A double-square-based electrode sequence learning method for odor concentration identification using EEG signals. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 2510110.
(6) H. R. Hou*, Q. H. Meng, B. Sun. A triangular hashing learning approach for olfactory EEG signal recognition. Applied Soft Computing, 2022, 118: 108471.
(7) H. R. Hou, X. N. Zhang, Q. H. Meng*. Olfactory EEG signal classification using a trapezoid difference based electrode sequence hashing approach.International Journal of Neural Systems, 2020, 30(3): 2050011.
(8) X. Deng, Q. H. Meng, T. Jing*, H. R. Hou*. A portable e-nose endowed with subjective evaluation function of air quality in vehicles. IEEE Transactions on Instrumentation and Measurement, 2022.
(9) Y. K. Li, Q. H. Meng, Y. X. Wang, T. H. Yang, H. R. Hou*. MASS: A multi-source domain adaptation network for cross-subject touch gesture recognition. IEEE Transactions on Industrial Informatics, 2022.
(10) Y. K. Li, Q. H. Meng, T. H. Yang, Y. X. Wang, H. R. Hou*. Touch gesture and emotion recognition using decomposed spatiotemporal convolutions. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 2500809.
(11) H. R. Hou, Q. H. Meng, M. Zeng, B Sun*. Improving classification of slow cortical potential signals for BCI systems with polynomial fitting and voting support vector machine. IEEE Signal Processing Letters, 2018, 25(2): 283-287.
(12) H. R. Hou, X. N. Zhang, Q. H. Meng*. Odor-induced emotion recognition based on average frequency band division of EEG signals. Journal of Neuroscience Methods, 2020, 334: 108599.
(13) H. R. Hou, B. Sun*, Q. H. Meng*. Slow cortical potential signal classification using concave–convex feature. Journal of Neuroscience Methods, 2019, 324: 108303.
(14) X. N. Zhang, Q. H. Meng, M. Zeng*, H. R. Hou*. Decoding olfactory EEG signals for different odor stimuli identification using wavelet-spatial domain feature. Journal of Neuroscience Methods, 2021, 363: 109355.
(15) H. R. Hou, Y. Tong, C. Ren*, Q. H. Meng*. A gas source declaration scheme based on a tetrahedral sensor structure in three-dimensional airflow environments. Review of Scientific Instruments, 2019, 90(2): 024104.
(16) H. R. Hou, D. D. Zheng*, L. X. Nie. Gas ultrasonic flow rate measurement through genetic-ant colony optimization based on the ultrasonic pulse received signal model. Measurement Science and Technology, 2015, 26(4): 45005–45013.
(17) D. D. Zheng*, H. R. Hou, T. Zhang. Research and realization of ultrasonic gas flow rate measurement based on ultrasonic exponential model. Ultrasonics, 2016, 67: 112-119.
(18) H. R. Hou, A. J. Lilienthal, Q. H. Meng*. Gas source declaration with tetrahedral sensing geometries and median value filtering extreme learning machine. IEEE Access, 2020, 8(1): 7227-7235.
(19) S. Jin, Q. H. Meng, X. Y. Dai*, H. R. Hou. Safe-Nav: learning to prevent point goal navigation failure in unknown environments. Complex & Intelligent System, 2022.
(20) H. R. Hou, Q. H. Meng*, X. N. Zhang. A Voting-near-extreme-learning-machine classification algorithm. International Conference on Pattern Recognition (ICPR) IEEE, Beijing, China, 2018: 237-241.
(21) H. R. Hou, Q. H. Meng*, M. Zeng, X. N. Zhang. A primary and secondary feature priority classification algorithm. The World Congress on Intelligent Control and Automation (WCICA) IEEE, Changsha, China, 2018: 784-789.
(20) H. R. Hou, Y. J. Liu, Q. H. Meng*. A Fast Method for Chinese Liquor Recognition. International Conference on Cyber Technology in Automation, Control and Intelligent Systems (CYBER) IEEE, Tianjin, China, 2018: 297-301.
(22)张小内, 翟文鹏, 侯惠让, 孟庆浩*. 基于ReliefF-Pearson的嗅觉脑电通道选择. 电子与信息学报, 2021, 43(7): 2032-2037.
(23)翟文鹏，张小内，侯惠让，孟庆浩*. 基于小波能量矩的嗅觉脑电信号识别. 生物医学工程学杂志, 2020, 37(03): 399-404.
(24) X. N. Zhang, H. R. Hou, Q. H. Meng*. EEG-based odor recognition using channel-frequency convolutional neural network. Conference: 2019 Chinese Control Conference (CCC) IEEE, Qingdao, China, 2019: 7763-7767.
(25) B. Wu, Q. H. Meng*, H. R. Hou, M. Zeng and P. F. Qi. An Olfactory Display System Integrated with Video Content Recognition. The World Congress on Intelligent Control and Automation (WCICA) IEEE, Changsha, China, 2018: 1641-1646.
(26) G. H. Lei, Q. H. Meng*, Y. J. Liu, H. R. Hou, M. Zeng. Multi-sensor Integrated Navigation Algorithm Using Adaptive Federated Kalman Filter for MAVs. The World Congress on Intelligent Control and Automation (WCICA) IEEE, Changsha, China, 2018: 4951-4956.
专利：
(1) 一种噪声背景下准确估计超声流量计传播时间方法：发明专利，ZL201510324809.4．
(2) 一种噪声背景下超声流量测量方法：发明专利，ZL201510324900.6．
主讲课程：
(1) 机器嗅觉（本科生）
主要学术成就、奖励及荣誉：
(1) 2020: 天津大学优秀毕业生
(2) 2018: 潍柴动力奖学金
(3) 2016: 安山奖学金
(4) 2015: 研究生国家奖学金
