简历莫凌飞，工学博士，副教授，博士生导师。2004年6月毕业于北京交通大学电子信息工程学院自动化专业，获工学学士学位；2009年6月毕业于浙江大学控制科学与工程学系，获工学博士学位。2009年7月至2011年2月在浙江大学电子科学与技术博士后流动站从事博士后研究；2011年2月至2012年6月在美国康涅狄格大学(University of Connecticut)机械系从事博士后研究。2012年9月加入东南大学仪器科学与工程学院从事传感器检测技术（Measurement and Sensing）、射频识别技术（RFID）、低功耗窄带物联网（LPWAN）、机器学习（ML）、人工智能（AI）、类脑计算（Brain-like Computing）等方面的研究工作，对传感、射频、无线、网络、图像识别、人工智能等领域保持兴趣，积极探索物联网与人工智能应用的创新理论和关键技术，尤其在物联网、机器人与人工智能（与类脑智能）结合方面具有丰富的科研经验。作为课题（或子课题）负责人参加多项国家科技支撑计划与国家自然科学基金项目，与物联网与人工智能产业界也保持密切的交流与合作。近几年来在国际期刊和国际会议上发表论文50余篇，其中SCI 收录20余篇， EI收录30余篇。申请中国国家专利20多项，授权10多项。目前担任IEEE RFID Journal Associate Editor, 为多家国际知名期刊撰稿人及审稿人。 职称副教授导师信息博士生导师教学工作主讲本科生课程《传感器技术》，研究生课程《虚拟仪器技术》，担任东南大学虚拟仪器俱乐部指导老师。学术兼职（1） IEEE Memember
（2） IEEE Instrumentation and Measurement Society Memember
（3） IEEE Antennas and Propagation Society Memember
（4） IEEE Computational Intelligence Society Memember
（5） IEEE RFID Journal Associate Editor
（6） 中国机器人大赛专家委员会委员研究方向（1） 检测技术与传感技术（Measurement & Sensing Technology）；
（2） 射频识别与低功耗窄带物联网（RFID & LPWAN）；
（3） 物联网与云计算（Internet of Things & Cloud Computing）；
（4） 无线空间定位（Wireless Localization）;
（5） 机器学习与人工智能（Machine Learning & Artificial Intelligent）；
（6） 类脑智能与计算神经科学（Brain-like Intelligence and Computational Neuroscience）;SCI期刊论文[2020] Wenqi Hua, Lingfei Mo, "Clustering Ensemble Model Based on Self-Organizing Map Network", Computational Intelligence and Neuroscience, vol. 2020, Article ID **, 11 pages, 2020.[2020] C. Suo, Z. Liu, L. Mo and Y. Liu, "LPD-AE: Latent Space Representation of Large-Scale 3D Point Cloud," IEEE Access, vol. 8, pp. 108402-108417, 2020[2020] Guan, Xuchen, and Lingfei Mo*. "Unsupervised Conditional Reflex Learning Based on Convolutional Spiking Neural Network and Reward Modulation."IEEE Access (2020): 1-1. [2019] Lingfei Mo*, Lujie Zeng, Running gait pattern recognition based on cross-correlation analysis of single acceleration sensor, Mathematical Biosciences and Engineering, 2019, 16(6): 6242-6256. [2019] Chengyang Li, Lingfei Mo*, Dongkai Zhang, Review on UHF RFID Localization Methods, Journal of Radio Frequency Identification, 2019.**.[2019] Lingfei Mo*, Lujie Zeng, Shaopeng Liu, Robert X Gao, Multi-sensor Activity Monitoring: Combination of Models with Class-specific Voting Weights, Information, Article ID 478283, 2019.[2019] Y. Qin, L. Mo* , C. Li , et al. Skeleton-based action recognition by part-aware graph convolutional networks[J]. The Visual Computer, 2019(3). [2019] Lingfei Mo, Chenyang Li, “Double Loop Inductive Feed Patch Antenna Design for Anti-metal UHF RFID Tag," International Journal of Antennas and Propagation, vol. 2019, Article ID **, 2019.
[2018] Lingfei Mo, and Chenyang Li. "Passive UHF-RFID Localization Based on the Similarity Measurement of Virtual Reference Tags." IEEE Transactions on Instrumentation and Measurement (2018).
[2018] Lingfei Mo, Chenyang Li, Hualin Huang, and Yaxuan Dong，A Study of Walking Speed Measurement for Elderly Health Assessment Using Ultrahigh-frequency Radio-frequency Identification Tags，Sensors and Materials, Vol. 30, No. 5 (2018) 1039–1051
[2017] Lingfei Mo, Xu Lu, Zengtao Feng, and Wenqi Hua，Online Human Daily Activity Recognition with Rechargeable Wearable Sensors，Sensors and Materials, Vol. 29, No. 9 (2017) 1353–1365
[2016] Yan Yu, Lingfei Mo and Jian Wang, Identifying Topic-Specific Experts on Microblog, KSII Transactions on Internet and Information Systems Vol.10, No.6, 2016.
[2015] Yan Yu and Lingfei Mo, Investigating Correlation Between Strength of Social Relationship and Interest Similarity, LNCS 9197, Springer International Publishing, pp.172-181, 2015.
[2015] Yan Yu, Lingfei Mo and Jiasheng Zhou, Social Friend Interest Similarity in Microblog and its Implication, International Journal of Control and Automation, Vol.8, No.11(2015), pp. 21-32.
[2013] C. Qin, L. Mo, H. Zhou, H. Zhang, “Dual-Dipole UHF RFID Tag Antenna with Quasi-Isotropic Patterns Based on Four-Axis Reflection Symmetry, ” International Journal of Antennas and Propagation, vol. 2013, Article ID 194145, 2013.
[2013] S. Liu, R. Gao, L. Mo, P. Freedson, "Wearable Sensing for Physical Activity Measurement: Design and Performance Evaluation, " Mechatronic Systems, pp.53-60, 2013
[2012] L. Mo, S. Liu, R. Gao and P. S. Freeson, " Wireless Design of a Multi-Sensor System for Physical Activity Monitoring," IEEE Transactions on Biomedical Engineering,Vol.59,pp.3230-3237,2012.
[2012] L. Mo, C. Qin, “Tunable Compact UHF RFID anti-metal tag based on CPW open stub feed PIFA antenna," International Journal of Antennas and Propagation, vol. 2012, Article ID 167658, 2012.
[2011] Q. Sun, H. Zhang, and L. Mo, "Dual reader wireless protocols for dense active RFID identification," International Journal of Communication Systems, Vol.24, pp.1431-1444, 2011.
[2010] L. Mo and C. F. Qin, "Planar UHF RFID Tag Antenna With Open Stub Feed for Metallic Objects," IEEE Transactions on Antennas and Propagation, vol. 58, pp. 3037-3043, 2010.
[2009] L. Mo, H. J. Zhang, and H. L. Zhou, "Analysis of dipole-like ultra high frequency RFID tags close to metallic surfaces," Journal of Zhejiang University-Science A, vol. 10, pp. 1217-1222, 2009.
[2008] L. Mo, H. Zhang, and H. Zhou, "Broadband UHF RFID tag antenna with a pair of U slots mountable on metallic objects," Electronics Letters, vol. 44, pp. 1173-1174, 2008.国际会议论文[2017] Yang Qin, Lingfei Mo*, Benyi Xie，Feature Fusion for Human Action Recognition based on Classical Descriptors and 3D convolutional networks，Sensing Technology (ICST), 2017 11th International Conference on. IEEE, 2017.
[2016] Mo, Lingfei, Chenyang Li, and Xiujuan Xie. "Localization of passive UHF RFID tags on the assembly line." Flexible Automation (ISFA), International Symposium on. IEEE, 2016.
[2016] Yang Qin, Lingfei Mo*, Jing Ye, Zhening Du，“Multi-channel Features Fitted 3D CNNs and LSTMs for Human Activity Recognition”, Sensing Technology (ICST), 2016 10th International Conference on. IEEE, 2016.
[2016] Mo, Lingfei, Zengtao Feng, and Jingyi Qian. "Human daily activity recognition with wearable sensors based on incremental learning." Sensing Technology (ICST), 2016 10th International Conference on. IEEE, 2016.
[2016] Tao, Hongxing, Lingfei Mo, Fei Shen, Zhening Du, and Ruqiang Yan. "Multi-classifiers ensemble with confidence diversity for fault diagnosis in induction motors." In Sensing Technology (ICST), 2016 10th International Conference on, pp. 1-5. IEEE, 2016
[2016] Jiang, Hongliang, Lingfei Mo, Xun, Xiaofang，Idle construction land prediction with gradient boosting machine，PIC 2016 - Proceedings of the 2016 IEEE International Conference on Progress in Informatics and Computing， 2016.
[2016] Xun, Xiaofang, Lingfei Mo, and Yan Yu. "Discovery and prediction of the unused land for construction based on random forest." Agro-Geoinformatics (Agro-Geoinformatics), 2016 Fifth International Conference on. IEEE, 2016.
[2016] Li, Chenyang, Lingfei Mo, and XiuJuan Xie. "Localization of passive UHF RFID tags on assembly line based on phase difference." Instrumentation and Measurement Technology Conference Proceedings (I2MTC), 2016 IEEE International. IEEE, 2016.
[2016] Mo, Lingfei, et al. "Human physical activity recognition based on computer vision with deep learning model." Instrumentation and Measurement Technology Conference Proceedings (I2MTC), 2016 IEEE International. IEEE, 2016.
[2015] Feng, Zengtao, Lingfei Mo, and Meng Li. "Analysis of low energy consumption wireless sensor with BLE." SENSORS, 2015 IEEE. IEEE, 2015.
[2015] Feng, Zengtao ，Mo, Lingfei ，Li, Meng，A Random Forest-based ensemble method for activity recognition，37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015，5074-5077
[2015] Huang, Hua-Lin ，Mo, Ling-Fei ，Liu, Ying-Jie，Li, Cheng-Yang，Xu, Qi-Meng，Wu, Zhi-Tong，Preliminary exploration of the measurement of walking speed for the apoplectic people based on UHF RFID，37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015，8038-8041。
[2013] L. Mo, S. Liu, R. Gao, P.S. Freedson, “Energy-efficient and data synchronized body sensor network for physical activity measurement,” Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE, pp.1120-1124, 2013
[2012] L. Tao, L. Mo, S. Liu, R. Gao, “Optimal battery charge and discharge control scheme under solar power inflow,” Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE, 2012, pp.849-854.
[2011] C. Qin, L. Mo, H. Zhou and H. Zhang, "A single port dipole for UHF RFID tag antennas with eliminated read-orientation sensitivity," Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on, pp.998-1001, 2011. [2011] L. Mo, S. Liu, R. X. Gao, D. John, J. Staudenmayer, and P. Freedson, "ZigBee-Based Wireless Multi-Sensor System for Physical Activity Assessment," in Proc. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, USA, 2011, pp. 846-849.
[2011] J. Zhou, H. Zhang, and L. Mo, "Two-dimension localization of passive RFID tags using AOA estimation," Instrumentation and Measurement Technology Conference (I2MTC), 2011 IEEE, 2011, pp. 1-5.
[2010] Q. Sun, H. Zhang and L. Mo, "Master-slave dual readers enhanced aloha anti-collision mechanism for dense active RFID," Instrumentation and Measurement Technology Conference (I2MTC), 2010 IEEE, 2010, pp. 1414-1417.
[2010] L. Mo, C. Qin, and X. Tang, "Velocity analysis for UHF RFID vehicle license plate," Optoelectronics and Image Processing (ICOIP), 2010 International Conference on, 2010, pp. 722-725.
[2007] L. Mo and H. Zhang, "RFID antenna near the surface of metal," in Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2007 International Symposium on, 2007, pp. 803-806招生计划硕士生：3人/年，欢迎仪器科学与技术专业以及检测、测量、自动化、电子与计算机等相关专业的同学报考，欢迎志向远大、勇于创新的同学加入实验室。
博士生：1人/年，欢迎对物联网、智能感知、类脑计算感兴趣的研究生报考。
博士后：1人/年，欢迎有物联网、智能感知、类脑计算研究基础的博士生加入实验室。
联系方式办公电话：
邮箱：lfmo@seu.edu.cn
通讯地址：东南大学四牌楼校区中心楼109室

其他实验室以物联网、机器人与人工智能为研究基础，提供智慧工业/智慧交通/智慧城市/智慧农业/智慧畜牧/智慧健康的解决方案，欢迎各行业的伙伴前来交流与合作，欢迎校内与校外优秀的本科生进入实验室交流与学习。