Fenxiong Chen, male, professor in electronic information system of School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), special evaluation expert of Internet of Things of the Ministry of Industry and Information Technology of the People’s Republic of China, mainly engaged in the fundamental research on software and hardware design of electronic information and wireless communication system, design of wireless sensor data communication network, image processing and computer vision, intelligent science and artificial intelligence algorithm, automatic machine learning and intelligent network architecture search, image and video compression technology based on artificial intelligence, unmanned driving and robot intelligent control technology, theoretical and application of Internet of Things and big data deep learning, has presided over and participated in more than 10 government sponsored programs of the state, Hubei Province and Wuhan City, including the program supported by National Natural Science Foundation of China, key program of Hubei Natural Science Foundation, key science and technology research plan of Hubei Province, Wuhan science and technology research plan, etc., published over 20 scientific research papers, obtained over 10 patents and 40 registered software copyrights, and won one third prize of Hubei Science and Technology Progress Award, with more than 10 patents for invention under application.
Contact information:
E-mail: cfx6810@163.com; QQ: 1900560429
Add: No. 388 Lumo Road Hongshan District, Wuhan City, Hubei Province, postal code: 430074
Unit: Department of Electronic Information Engineering, School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan)
Office: Room 233, No. 2 Teaching Building, China University of Geosciences (Wuhan)
I.Education information
1988.7-1992.6: School of Automation, Wuhan University of Technology, majoring in computer science and application, bachelor; 2003.9-2006.6: Department of Applied Mathematics of School of Mathematics and Physics, China University of Geosciences (Wuhan), master’s degree in signal and information processing; 2008.9-2013.7: School of Geophysics & Geomatics, China University of Geosciences (Wuhan), Ph. D in earth exploration and information technology; 2008.7-2009.6: National Digital Media Laboratory, Peking University, domestic visiting scholar of the Ministry of Education.
II.Work experiences
1992.7-1998.7: technology research and development in Central China Normal University; 1998-present: engaged in teaching and scientific research of artificial intelligence and robot control technology, communication and information processing, and electronic information engineering, etc. in the Department of Electronic Information Engineering, School of Mechanical Engineering and Electronic Information, China University of Geosciences (Wuhan), mainly teaching the courses of analog electronic technology, digital circuit technology, principle and application of single-chip microcomputer, embedded principle and application, principle and application of wireless sensor network, new generation Internet of Things technology, deep learning and intelligent robot control, etc., and honored as “the most popular teacher”.
III.Government sponsored scientific programs
[1] Research on the deep understanding and intelligent control method of autonomous vehicle scene, application fundamental research program of Wuhan Science and Technology Bureau, grant No.: 2017010201010134, duration: 2017/01-2018/12
[2] Chaos representation and anomaly recognition of event monitoring in wireless sensor network, general program of National Natural Science Foundation of China, grant No.: 61271274, duration: 2013/01-2016/12
[3]Research on the key common technologies of Internet of Things for environmental monitoring. Program supported by the Fund for Outstanding Young Talents of Hubei Province, grant No.: 2012195067, duration: 2012/01-2014/12.
[4] Research and development of wireless body area network and its equipment for digital health. Hubei science and technology research plan, grant No.: 2012075092, duration: 2012/01-2014/12
[5] Research on the fault tolerance perception theory and application foundation of abnormal events in wireless sensor network monitoring. Key program of Hubei Natural Science Foundation, grant No.: 2011CDA069, duration: 2011/01-2013/12
[6] Research and development of the key technology and equipment of Internet of things for buoy water quality monitoring. Wuhan science and technology research plan, grant No.: 201262523840, duration: 2012/01-2013/12
[7]Research on the key technologies for traffic intelligent video monitoring and operation and maintenance based on Internet of things. Hubei science and technology research plan, grant No.: 2011075038, duration: 2011/01-2013/12
[8]Research on acoustic emission positioning technology of landslide surface fracture based on wireless sensor network. General program of Hubei Natural Science Foundation. Grant No.: 2011075004, duration: 2011/01-2012/12
[9]Research on the landslide monitoring technology based on wireless sensor network. Program supported by the open foundation of Three Gorges Research Center for Geohazards, Ministry of Education, grant No.: TGRC201018, duration: 2010/01-2011/12
[10] Research and development of unmanned teaching model vehicle based on artificial intelligence, Office and Laboratory and Equipment Management, CUG (Wuhan), grant No.: SJ-201715, duration: 2017/01-2018/12
[11]Wireless sensor network and comprehensive experimental analyzer of Internet of things, Office and Laboratory and Equipment Management, CUG (Wuhan), grant No.: SJ-201218, duration: 2012/01-2013/12
[12] Hardware design of analog circuit and development of simulation experiment platform based on FPTA, Office and Laboratory and Equipment Management, CUG (Wuhan), grant No.: SJ-200919, duration: 2009/01-2010/12
[13]“Intelligent perception and application demonstration based on Internet of things”, Third Prize for Progress in Science and Technology in Hubei Province in 2017
[14] Port cargo intelligent management system based on wireless sensor network, enterprise sponsored program, grant No.: 2010067023, duration: 2010/01-2010/12.
[15] Research on key technologies of Internet of things based on wireless sensor network and RFID, enterprise sponsored program, grant No.: 2009076086, duration: 2009/01-2009/12.
IV.Scientific research papers
1. Journal papers:
[1]Jianlin Liu,Fenxiong Chen * and Dianhong Wang,Data Compression Based on Stacked RBM-AE Model for Wireless Sensor Networks,Sensors,2018, 18(12), 4273-4285; doi:10,3390/s18124273
[2]Chen Fenxiong,Jie Fu, Xingfeng Guo,Dianhong Wang, Six Dimensional 32PSK Mapper for Optical Orthogonal Frequency Division Communication,ICIC Express Letters,Part B: Applications,v6,n12,3349-3353,2015
[3]Guo Xingfeng, Wang Dianhong, Chen Fenxiong, An anomaly detection based on data fusion algorithm in wireless sensor networks,International Journal of Distributed Sensor Networks,v8,n11,2015
[4]Wang Yong, Wang Dianhong,Chen Fenxiong, Abnormal behavior detection using trajectory analysis in camera sensor networks, International Journal of Distributed Sensor Networks, December 30,2014
[5]Wang Yong , Wang Dianhong,Chen Fenxiong,Efficient event detection using self-learning threshold for wireless sensor networks, Wireless Networks,v21,n6,1783-1799,2014
[6]Zhang Shilei,Chen Fenxiong, Modeling wireless sensor networks data based on spatial correlation, ICIC Express Letters,v8,n12,3459-3464,2014
[7]Xingfeng Guo,Dianhong Wang,Fenxiong Chen, ALGORITHM OF TEMPORAL AND SPATIAL DATA SUPPRESSION BASED ON SAX IN SENSOR NETWORKS, ICIC Express Letters,v8,n11,2971-2976,2014
[7]Wang Hong,Wang Guangjun,Han Yanling, Chen Fenxiong, Polarization gaps in one-dimensional magnetic photonic crystal, optics Communications,v310,199-203,2014
[8]Chen Fenxiong,Mingming Li,Wang Dianhong, Data Compression through Principal Component Analysis over Wireless Sensor Networks, Journal of Computational Information Systems,v9,n5,pp1809-1816,2013
[9]Chen Fenxiong,Tian Bo,Wang Dianhong, Nonthreshold based and piecewise linear representation data compression algorithm over wireless sensor networks,ICIC Express Letters,v6,n10,2611-2616,2012
[10]Chen Fenxiong,Shen Yaodong,Wang Dianhong, A fault-tolerant fast detection of abnormal event scheme for wireless sensor networks,Journal of Computational Information Systems,v8,n22,9323-9332,2012
[11]Liu Xingwen,Wang Dianhong,Jiang Liangxiao,Chen Fenxiong, An improved algorithm for oblique decision tree classification based on rough set theory,Journal of Computational Information Systems,v7,n11,4042-4049,2011
[12]Liu Xingwen, Wang Dianhong,Jiang Liangxiao, Chen Fenxiong, A method for attribute reduction using rough set theory and improved particle swarm optimization,ICIC Express Letters,v2,n6,1261-1266,2011
V.Licensed patents and software copyright
1.Licensed patents for invention:
[1] A hybrid model wind speed forecasting method based on empirical mode decomposition and deep learning, 2019, ZL 201610444160
[2] Three dimensional 64QAM trellis-coded modulation method for wireless sensor network, 2019, ZL 20150905689
[3] An enhanced six dimensional 64PSK modulation and demodulation method, 2017, ZL201410795895
[4] An enhanced six dimensional 32PSK modulation and demodulation method, 2017, ZL201410795895
[5]Orthogonal Frequency Division Multiplexing Method of Enhanced Six Dimensional 64PSK constellation, 2017, ZL 201410800158
[6]Multiplex wireless channel monitoring device based on FPGA, 2017, ZL201410763086
[7] An optimal selection method of wireless sensor nodes for visual tracking, 2016, ZL 2013105392029
[8] Water conductivity monitoring node device based on wireless sensor network, 2016, ZL201420784411
[9] Multi-parameter water quality monitoring node device based on WSN, 2016, ZL201410765296
[10] A fast fault-tolerant detection method for monitoring abnormal events in wireless sensor network, 2014, ZL201210072407
[11] Robot with automatic obstacle avoidance function of video acquisition, 2013, ZL2011102180096
[12] Heterogeneous interconnection gateway device based on WiFi, ZigBee and Internet, 2013, ZL2010105307003
[13] A gateway device for wireless sensor network with 3G remote transmission, 2013, ZL2010105388212
[14] Data compression method of wireless sensor network nodes based on non threshold, 2013, ZL201010194710
[15] A gateway device for wireless sensor network with 3G remote transmission, 2013, ZL201010538821
[16] Data compression method of multiple principal components analysis for wireless sensor network, 2012, ZL201010140258
[17] Multi-standard RFID recognition device based on wireless sensor network technology, 2012, ZL201010266684
[18] A distributed node positioning method for wireless sensor network, 2012, ZL201010111277
[19] A secondary weighted hybrid positioning method for wireless sensor network, 2012, ZL201010111276
[20] A robot with search and rescue system, 2012, ZL201110105723
2. Granted utility model patent:
[1] Sensor network node device for wireless monitoring of landslide surface cracking, 2014, ZL 201320783805
[2] Sensor network node device for wireless monitoring of landslide ground temperature, 2011, ZL201020166855
[3] Wireless sensor network node device for monitoring radon concentration in landslide mass, 2011, ZL201120054795
[4] Heterogeneous interconnection gateway device based on Bluetooth, ZigBee and Internet, 2011, ZL201020623200
[5] A wireless sensor network gateway for long distance transmission, 2001, ZL201020600504
[6] Gateway device for wireless sensor network with 3G remote transmission, 2011, ZL201010538821
[7] A heterogeneous interconnection gateway device, 2011, ZL201020590123 (utility model patent)
[8] A wireless sensor network node device with GPS, 2010, ZL201020133206
[9] A kind of inverter controller with synchronous phase lock based on SCM control, 2010, ZL201020104265
[10] Digital controlled marine charger based on DSP, 2010, ZL201020101471
[11] Microcomputer controlled dielectric strength testing device for insulating oil, 2010, ZL200920289236
[12] SCM controlled electronic register, 2010, ZL200920289238 (utility model patent)
[13] Soccer robot controlled by DSP2407 microprocessor, 2010, ZL200920289235
[14] A microcomputer controlled DC speed regulating power supply control device, 2008, ZL200720087685
3. Patent for invention under application:
[1] A Deep fault-tolerant compression method and system of wireless sensor network based on hybrid variation, 2019, CN109525598A
[2] A Single target tracking method, equipment and storage device of deep convolutional neural network, 2018, CN107633529A
[3] Data compression method, device and storage device of weight reduction wireless sensor network, 2018, CN107634937A
[4] An intelligent aided driving method and system, 2018, CN107590438A
[5]A vehicle forward collision warning method and system, 2017, CN107403160A
[6] Channel estimation algorithm and system of wireless sensor network based on joint block sparse reconstruction, 2016, CN105812299A
[7]Data compression and reconstruction method of wireless sensor networks based on symbol aggregation approximation, 2016, CN105744562A
[8]Anomaly detection method of sensor network based on artificial immune and K-means clustering, 2016, CN105791051A
[9]Early warning method and system of wireless sensor network based on cluster compressed sensing, 2016, CN105636094A
[10]Abnormal events detection method in wireless sensor network based on secondary hybrid compression, 2016, CN105491614A
[11]Event detection method of wireless sensor network based on FSAX-MARKOV model, 2016, CN105722129A
4.Registered software copyright:
[1] Multi-parameter water quality monitoring system software based on wireless sensor network, 2015SR277731
[2] Standardized data acquisition and transmission platform software for landslide monitoring, 2016SR298210
[3] Data acquisition and remote transmission system software of landslide monitoring sensor network, 2016SR297916
[4] Medical monitoring platform software based on wireless sensor network, 2016SR197336
[5] Hybrid model wind speed forecasting software based on empirical mode decomposition and deep learning, 2017SR482966
[6] Data compression algorithm software of wireless sensor network based on stacked RBM, 2017SR464244
[7]Data compression software of wireless sensor network based on stacked RBM and weight reduction, 2017SR456538
[8] Fault tolerance fast detection software for abnormal events in wireless sensor networks, 2017SR456498
[9] WSN-Medium Correlation, 2018SR431579
[10] 3D target detection software based on laser radar imaging, 2018SR688401
[11]Limited Boltzmann compression software for noise monitoring data of environmental Internet of things, 2018SR823408
[12] De-nosing auto-encoder compression software for monitoring spatial redundancy of environmental Internet of things, 2018SR833243
[13] De-nosing auto-encoder compression software for monitoring time redundancy of environmental Internet of things, 2018SR823224
[14] Data compression and transmission software of wireless sensor network based on data space-time suppression, 2018SR384716
[15] VAE-Suppress, 2018SR672688
[16] 3D scene depth prediction software based on depth learning, 2018SR669363
[17] Vehicle motion estimation software based on deep learning, 2018SR670184
[18] Software for vehicle motion scene flow estimation based on segmented rigid body model, 2018SR669356
[19] Software for vehicle motion scene flow estimation based on pyramid optical flow estimation model, 2018SR669896
[20] Software for video sequence optical flow field estimation based on neural optical flow network, 2018SR688495
[21] Application software for driving area segmentation in night driving scene, 2018SR704642
[22] 3D vehicle detection software for intelligent driving scene, 2018SR704791
[23] Application software for intelligent driving area segmentation, 2018SR704032
[24] Map construction and target detection software for driverless car based on artificial intelligence, 2018SR773234
[25] Application software for lane departure and forward collision warning in autonomous vehicle scene, 2017SR298210
[26] Real time target detection software for autonomous driving scene based on artificial intelligence, 2017SR438744
[27] Vehicle and pedestrian detection and recognition software based on Jetson TX2 and deep learning, 2017SR456000,
[28] Video target tracking system based on deep convolutional neural network, 2017SR456029
[29] Neural style transfer software based on semantic segmentation, 2017SR456610
[30] Modulation and demodulation software of enhanced six-dimensional 32PSK, 2017SR483172
[31] Modulation and demodulation software of enhanced six-dimensional 64PSK, 2017SR483154
[32] Orthogonal frequency division multiplexing technology software of wireless sensor network with five-dimensional 32PSK modulation, 2017SR483186
[33] Orthogonal frequency division multiplexing technology software of wireless sensor network with five-dimensional 64PSK modulation, 2017SR483015