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孔祥增 教授

发布时间:2024-12-09文章来源: 浏览次数:

简介:

1、学习工作经历:

2022/06至今 福建农林大学,教授、博士生导师国家级领军人才

2011/09 2016/04 英国 Ulster 大学(VCRS 奖学金),计算机与工程学院,计算机科学专业 (时间序列数据挖掘方向)工学博士,导师:Yaxin Bi(毕亚新)和David Glass

2005/09 2008/02 福州大学,数学与计算机科学学院,软件工程与理论专业,硕士,导师:李应;

2001/09 2005/07 福建师范大学,数学与计算机科学学院,数学与应用数学专业,本科。

2、研究方向和领域:

主要从事农业信息感知、智慧海洋、脑机交互、数据挖掘。

3社会学术兼职:教育部长江学者评审专家中国农业机械学会人工智能分会委员、福建省人工智能学会常务理事、福建省生物数学学会理事、IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingJ-STARS等国际期刊审稿人、国家自然科学基金审稿人。

4、科研项目:

[1]2023.11-2026.10主持国家重点研发计划(原国家973863项目)高精度生物感知觉反馈操纵技术与系统(2023YFF1203900”,项目经费91.5万元,排名1/1,在研。

[2]2023.12-2025.11主持福建省海洋与渔业局福建省促进海洋与渔业产业高质量发展专项资金项目海洋牧场人工智能监控系统及示范应用(FJHYF-ZH-2023-11,总经费400万元,排名1/1,在研。

[3]2023.10-2024.9主持福建省科技计划重点项目人工智能冬笋3D探测便携式设备关键技术研究(2023H0055经费25万元,排名1/1,在研。

[4]2023.12-2026.12主持福建省海洋养殖智能技术研究专项,经费80万元,排名1/1,在研。

[5]2021.12-2024.11主持国家重点研发计划(原国家973863项目)“新一代高相容性生物植入电极设计与应用(2021YFF1200030”的合作单位负责人子课题负责人(经费91万元),负责性能提升10100 倍人工酶电极研发,排名1/2在研。

[6]2023.12-2025.11参与国家重点研发计划(原国家973863项目)视听生物感知非侵入高精度解码与干预增强技术(2023YFF1203500”,总经费50万元,排名2/2,在研。

[7] 2020.07-2022.06主持国家重点研发计划(原国家973863项目)“基于人工智能技术的互联网康复技术研究(2020YFF0401865”,总经费500万,负责项目整体规划与实施,算法研究,排名1/4已结题。

[8] 2021.12-2024.11参与国家重点研发计划(原国家973863项目)“组织工程类脑智能复合体设计与开发(2021YFF1200035”的合作单位法人(技术负责人),子课题经费65万元在研。

[9] 2017.01-2019.12主持国家自然科学基金青年项目“地震长波辐射异常挖掘 及多参数关联性验证”,经费19万,负责项目整体规划与实施,算法研究,排名1/10已结题。

[10] 2020.12-2023.12主持福建省引进高层次创新创业人才“百人计划”(团队负责人)“人机脑波交互关键技术与研究”,总经费450万,负责整个项目的实施,关键算法研究,排名1/5已结题。

[11] 2018.01-2019.12主持中国留学归国人员项目重点支持“人机脑波交互设备及大数据云平台”,经费50万,负责整个项目的实施,关键算法研究,排名1/1已结题。

[12] 2017.12-2018.12主持福建省互联网经济优秀人才重点项目“人机脑波交互 设备及学习分析与评测云平台”,经费100万,负责项目整体规划与实施,算法研发,排名1/1已结题。

[13] 2017.12-2020.12主持厦门双百计划人才项目“意念控制无人机MindFly和意念智能机器人研发及教育应用产业化”,经费200万,负责项目整体规划与实施,算法研发,排名1/5已结题。

[14] 2015.01-2019.04主持福建省引导性项目“台海地震、滑坡灾害的监测预警关键技术研究”,经费116万,负责整个项目的实施,关键算法研究,排名1/10已结题。

[15] 2021.01-2024.12,参与国家自然科学基金面上项目体域网步态对称性变异深度学习判别模型及预警老粘人跌倒风险研究,经费55万,负责深度学习算法挖掘,排名2/10已结题。

[16] 2018.01-2021.12,参与国家自然科学基金面上项目“量子安全多方计算中的基础协议研究”,经费60万,负责算法设计与实验,排名5/9已结题。

[17] 2017.10-2018.10主持福建省留学归国人员启动项目优秀项目“基于脑电波技术的人工智能芯片研发”,经费20万,负责核心算法设计总体规划,排名1/1已结题。

5、科研和教学成果:

[1] 福建省高层次A 类人才,福建省委组织部,2021年,排名1/1

[2] 福州市青年科技奖,2021年,排名1/1

[3]福州市首届“植根榕城”,一等奖,福州市人社局,2017年,排名1/3

[4] 福建省教学成果奖二等奖,福建省教育厅,2022年,第一获奖成员

[5] 2023届毕业生就业创业工作先进个人, 20249,福建农林大学委员会,福建农林大学

6、发表论文:

[1] Chen Zhao, Wei Wu, Haoyi Zhang, Ruiyan Zhang, Xinyue Zheng, Xiangzeng Kong*Sleep Stage lassification via Multi-view Based Self-supervised Contrastive Learning of EEGIEEE TRANSACTIONS AND JOURNALS TEMPLATEAugust 28,202410.1109(中科院1区,top期刊)

[2] Wei Wu, Ruiyan Zhang, Xinyue Zheng, Minghui Fang, Tianyuan Ma, Qichang Hu,Xiangzeng Kong, Chen ZhaoOrchard bird song recognition based on multi-view multi-level contrastive learningApplied Acoustics2024Available online 26 June 2024),224 (2024) 110133JCR1区,中科院2区)

[3] Huang, L., He, X., Hu, J., Qin, C., Huang, C., Tang, Y., Zhong, F., Kong, X., & Wei, X. (2024). Wearable Sensor Based on Covalent Organic Framework Humidity Films for Long-Term Monitoring of Tomato Physiology Under Abiotic Stress. ACS Nano, 18(48), 33105-33118.

[4] Xiangzeng Kong1, Cailin Wu2, Shimiao Chen2, Tao Wu 1,* and Junfeng Han 1,*,Efficient Feature Learning Model of Motor lmagery EEG Signals with L1.Norm and Weighted Fusion, Biosensors, 23 April 2024, 2024,14(5),211(JCR1区,中科院3)

[5] Weihai Huang¹, Xinyue Liu², Weize Yang¹, Yihua Li¹, Qiyan Sun 3,*and Xiangzeng Kong¹, Motor Imagery EEG Signal Classification Using Distinctive Feature Fusion with Adaptive Structural LASSO, Sensors, 9 June 2024, 2024,24,3755(JCR2 SCI3)

[6] Kong, X.; Liu, X.; Chen, S.; Kang, W.; Luo, Z.; Chen, J.; Wu, T. Motion Sequence Analysis Using Adaptive Coding with Ensemble Hidden Markov Models. Mathematics 2024, 12, 185. JCR1,中科院3区,IF=2.4

[7] Kong, Xiangzeng, Chuxin Wang, Lintong Zhang, Wenqing Zhang, Shimiao Chen, Haiyong Weng, Nana Hu, Tingting Zhang, and Fangfang Qu. 2024. "Reliable Augmentation and Precise Identification of EPG Waveforms Based on Multi-Criteria DCGAN" Applied Sciences 14, no. 22: 10127.

[8] Song, W., Wei, X., Wang, H., Xu, J., Tang, X., & Kong, X. (2024). Rapid and low-cost detection of saffron (Crocus sativus L.) adulteration using smartphone videos and spectral data fusion strategy. Journal of Food Composition and Analysis, 104, 104395.

[9] Zhang, L., Kong, X., Chen, L., Wang, C., Lin, X., Jiang, Y., & Li, J. (2024). A multiband terahertz metamaterial sensor evaluated using a multiresponse variable fusion framework for the precise detection of trace fluoroquinolone antibiotics. Sensors and Actuators: B. Chemical, 410, 129364.

[10] Sun, Q., Li, P., He, C., Song, Q., Chen, J., Kong, X., & Luo, Z. (2024). A Lightweight and High-Precision Passion Fruit YOLO Detection Model for Deployment in Embedded Devices. Sensors, 24(15), 4942.

[11] Zhang, L., Kong, X., Qu, F., Chen, L., Li, J., Jiang, Y., Wang, C., Zhang, W., Yang, Q., & Ye, D. (2024). Comprehensive Similarity Algorithm and Molecular Dynamics Simulation-Assisted Terahertz Spectroscopy for Intelligent Matching Identification of Quorum Signal Molecules (N-Acyl-Homoserine Lactones). International Journal of Molecular Sciences, 25(3), 1901.

[12] Xiangzeng Kong, Yaxin Bi, and David H. Glass., Detecting anomalies in sequential data augmented with new features Artificial Intelligence Review2020Published online: 3 January 2019),53625-652(中科院2区,top 期刊, IF=12

[13] 吴涛1a,陈黎飞1a,钟韵宁1b孔祥增*,基于子空间差异的投影聚类算法,计算机应用研究,Nov. 202340(11):3304-3314(北大核心,IF=2.131

[14] Tao Wu#, Yunning Zhong#, Yujie Fan, Xiangzeng Kong, Lifei Chen*Automatic diagnostics of EEG pathology via capsule network with multi-level feature fusion2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)October 16,20231274-1280

[15] Tao Wu1, Xiangzeng Kong2, Yunning Zhong1and Lifei Chen1*Automatic detection of abnormal EEG signals using multiscale features with ensemble learningHuman Neuroscience20 September 202210.3389SCIQ2IF=2.9

[16] Shuhao Zhang , Gaoshan Bi, Jun Qi , Yun Yang , Xiangzeng Kong, Fengtao Nan, Menghui Zhou , and Po Yang , Privacy-Preserving-Enabled Lightweight COVID-19 Simulation Model for Mobile Intelligent ApplicationIEEE INTERNET OF THINGS JOURNAL, VOL. 10, NO. 8, 15 APRIL 20236742-6755物联网领域高质量期刊,中科院JCR双一区,Top期刊,计算机科学领域顶尖期刊行列,IF=10.6

[17] Xiaolong Yang, Jun Lin, Shiya Huang, Xiuyu Lin, Yuanyu Xie, Fengpo Yan, Wei Zheng*, Xiangzeng Kong*, Qichang Hu*, Semiconductor applications of Yb2O3: Constructing heterjunction solar-blind UV photodetectors with graphene, Applied Physics Letters, 2023, 123(8), 081103. (自然指数期刊,应用物理top期刊, IF=4.0, 该论文被编辑选为Featured article)

[18] Shiya Huang, Jun Lin, Xiuyu Lin, Zhao Wang, Yuanyu Xie, Xiong Chen, Xiangzeng Kong, Wei Zheng*, Qichang Hu*, Application of graphene-combined rare-earth oxide (Sm2O3) in solar-blind ultraviolet photodetection, ACS Applied Materials & Interfaces, 2023, 15(31), 37649-37657. (JCR一区top IF=9.5)

[19] Kong, Xiangzeng;Li, Nan;Lin, Ling;Xiong, Pan;Qi, Jun, Relationship of Stress Changes and Anomalies in OLR Data of the Wenchuan and Lushan Earthquakes. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 201811(8):2966-2976(SCI 2 影响因子 3.392).

[20] Xiangzeng Kong*, Yaxin Bi, and David H. Glass. Detecting Seismic Anomalies in Outgoing Long-wave Radiation Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS), 2015, 8(2), 649-660(SCI 2 影响因子 3.392).

[21] Wei Wang, Chao Fu, Xiangzeng Kong, Roman Osinsky, Johannes Hewig, Yiwen Wang. Neuro-Behavioral Dynamic Prediction of Interpersonal Cooperation and Aggression, Neuroscience Bulletin, 2021,1-15(SCI 2 影响因子 5.203).

[22] Tao Wu, Xiangzeng Kong*, Yiwen Wang, Xue Yang, Jingxuan Liu, Jun Qi. Automatic classification of EEG signals via deep learningIEEE 19th International Conference on Industrial Informatics (INDIN, 2021,1-6.

[23] 胡志华, 孔祥增. 基于脑电波反馈原理的教学评价系统设计研究, 教育评论, 2019, 12: 128-132.

[24] Nan Li; Xiangzeng Kong; Ling Lin; Anomalies in continuous GPS data as precursors of 15 large earthquakes in Western North America during 2007-2016, Earth Science Informatics, 2019, 13163-174(SCI 4 区,影响因子 1.525).

[25] Jiang Xiaoying; Kong Xiangzeng; Guo Gongde. A method of identifying and analyzing Outgoing Long-wave Radiation anomalies before earthquake.MATEC Web of Conferences,2018,189:1001-1001.

[26] 孔祥增, 江小英, 郭躬德, 李南, 林岭. (2018). 基于量子漫步算法的地震震前异常挖掘. 计算机系统应用, 27(10), 154-160.

[27] Weiyu Ma, Xiangzeng Kong*, Chunli Kang, Xiaohong Zhong,Haiyan Wu, Xiaoshan Zhan, and Monika Joshi, Research on the changes of the tidal force and the air temperature in the atmosphereof Lushan (China) Ms7.0 earthquake, THERMAL SCIENCE, 2015, 19(S2), pp. S487-S493(SCI).

[28] Xiangzeng Kong*Yaxin Bi, and David H.Glass.An Anomaly Analysis Method Based on Morphological Features. 2013 IEEE International Conference on Systems,Man,and Cybernetics(SMC 2013),pp.2665-2670(EI).

[29] Chen Liping,Kong Xiangzeng*,Xiong Pan,Zeng Jin,Lin Xinqi,Zheng zhi,Zhan Xiaoshan.The application of cumulative sum feature extraction algorithm in data stream anomaly analysis before earthquake. Advanced Materials Research,v765-767, pp.524 -527(EI).

[30] Xiangzeng Kong*, Yaxin Bi, and David H.Glass. A Geometric Moving Average Martingale method for detecting changes in data streams. Lecture Notes in Computer Science (LNCS),2012,pp.79-92(EI).

[31] Zhi Zheng, Youying Chen, Liping Chen, Gongde Guo, Yongxian Fan, and Xiangzeng Kong*. Signal-BNF: A Bayesian Network Fusing Approach to Predict Signal Peptides, Journal of Biomedicine and Biotechnology, Volume 2012 ,pp.1-8,(SCI).

[32] Liping Chen, Xiangzeng Kong*, Bin Wen, Zhiqiang Yao and Rijin Pan. A Novel Robust Mesh Watermarking Based on BNBW. EURASIP Journal on Advances in Signal Processing , Volume 2011,pp.1-9(SCIEI).

[33] Yong-Xian Fan, Jiangning Song, Xiangzeng Kong, and Hong-Bin Shen*. PredCSF: An integrated feature-based approach for predicting conotoxin superfamily, Protein and Peptide Letters, 2011(18),pp.261-267(SCI).

[34] Xiangzeng Kong*, Liping Chen, and Wensheng Yang. Note on the Persistent Property of a Discrete Lotka-Volterra Competitive System with Delays and Feedback Controls. Advances in Difference Equations, Volume 2010,pp. 1-9(SCIEI).

[35] Xiangzeng Kong*, Zhiqin Chen, Li Xu, and Wensheng Yang. On a Periodic Predator-Prey System with Holling III Functional Response and Stage Structure for Prey. Abstract and Applied Analysis, Volume 2010,pp. 1-12(SCIEI).

[36] Xiangzeng Kong*,Zhiqiang Yao. A Novel Double 3D Digital Watermarking Scheme.MINES2009, Volume 1,pp. 553-556(EI).

[37] Xuming Huang, Xiangzeng Kong, and Wensheng Yang*. Permanence of Periodic Predator-Prey System with General Nonlinear Functional Response and Stage Structure for Both Predator and Prey. Abstract and Applied Analysis, Volume 2009, pp. 1-8(SCI).

[38] 林岭, 孔祥增, 李南. 2009-2018 年期间尼泊尔地区 OLR 异常信号数据挖掘数据集, 全球变化数据学报, 2019, (5).

[39] 詹晓珊, 林新棋, 孔祥增*, 熊攀, 陈丽萍, 郑之. CUSUM 算法在NOAA卫星数据震前异常分析中的应用. 计算机应用与软件,2015, 32(2): 232-235.

7、授权发明专利:

[1] 发明专利,一种基于脑电波分析的智能叫醒方法,2019-6-14,中国,专利号:ZL201610279613.2排名1/5

[2] 发明专利:一种基于汉明码的量子图像水印方法,2017-12-8,专利号: ZL201510168548.1,排名3/3

[3] 发明专利,一种基于新的 haar-like 特征的 Adaboost 人脸检测方法,2016-4-6,专利号:ZL201310056584.X,排名3/3

[4] 实用新型专利,一种慢性病用药提醒与记录装置,2016-10-5,专利号:ZL201620421464.4排名1/1

[5] 实用新型专利, 一种产品展示用机器人,2018-5-1,专利号: ZL201721244257.7,排名1/1

[6] 实用新型专利,一种地震监测预警机器人,2018-3-2,专利号: ZL201720608114.3,排名1/4

[7] 实用新型专利,一种脑电波专注力用数据记录装置,2021-6-1,专利号:ZL202021989853.X排名2/7

[8] 实用新型专利,一种多模态听读说实时监测分析系统,2021-8-27,专利号:ZL202120089193.8排名2/2

[9] 实用新型专利,一种康复用手部训练装置,2021-9-14,专利号:ZL202021096713.X,排名1/8

[10] 实用新型专利,一种医疗康复用助行装置,2021-9-17,专利号:ZL202022592137.4,排名1/4

[11] 实用新型专利,一种医疗康复训练用辅助装置,2021-7-30,专利号: ZL202022588187.5,排名1/4

[12] 实用新型专利,一种脑电波医疗康复信息显示装置,2021-7-20,专利号:ZL202022506470.9排名1/5

[13] 实用新型专利,一种脑电波医疗康复用档案存储装置,2021-9-3,专利号:ZL202022508482.5排名1/5

[14] 实用新型专利,一种基于双按键防误触警报的智能手表,2018-7-6,专利号:ZL201721759070.0排名3/4

8、指导学生学科竞赛:

[1] 2024年第二十六届中国机器人及人工智能大赛-全国总决赛一等奖

[2] 2024年第十九届中国研究生电子设计竞赛-技术类竞赛初赛团队三等奖

[3] 2024年第二十六届中国机器人及人工智能大赛省级层次选拔赛-福建赛区三等奖

[4] 2024年第二十六届中国机器人及人工智能大赛省级层次选拔赛-福建赛区一等奖

[5] 2024年第十八届iCAN大学生创新创业大赛福建赛区选拔赛-三等奖

[6] 2023年第五届国际青年人工智能大赛-中国赛区选拔赛二等奖

[7] 2023年第五届全球校园人工智能算法精英大赛(精英Ⅱ赛区选拔赛·省级)选拔赛省级二等奖

[8] 2023年第五届全球校园人工智能工智能算法精英大赛(精英Ⅱ赛区选拔赛·省级)选拔赛省级三等奖

[9] 2023年第五届全球校园人工智能算法精英大赛(精英Ⅱ赛区选拔赛·省级)选拔赛-优秀指导教师

[10] 2021年“互联网+”大学生创新创业大赛 国家铜奖、福建金奖

[11] 2018年“互联网+”大学生创新创业大赛 福建银奖

[12] 2018年第十八届iCAN INNOVATIONCONTEST 大学生创新创业大赛-福建赛区三等奖


9、联系方式:

 电子邮箱:xzkong@fafu.edu.cn




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