刘建伟

中国石油大学（北京）副研究员

刘建伟，博士生导师/硕士生导师。曾任加拿大温哥华英属哥伦比亚大学访问学者，加拿大滑铁卢大学高级访问学者。中国人工智能学会机器学习分会高级会员。讲授模式识别专题（博士生），可编程序控制器原理及其应用，模式识别与机器学习导论等课程。

教授课程

模式识别专题（博士生）

研究方向

基于泛函分析理论（巴拿赫空间，索伯列夫空间，再复制希尔伯特空间理论，算子谱论，框架理论）、半参数模型理论、经验过程理论、随机过程统一中心极限理论、巴拿赫空间概率理论，运用深度学习、半监督学习、概率图模型学习、结构稀疏化学习、函数数据学习、支持向量机技术、缺失值分析技术、非线性时间序列分析技术，进行数据建模、统计分析、数据挖掘、复杂结构化数据分类、聚类、异常检测、故障诊断和特征选择方法研究。

2．复杂系统分析、预测与控制

随机非线性自适应控制，随机非线性估计、分析与鲁棒控制。

在线序列预测和分析，在线竞争分析，多臂赌博机算法分析及随机规划和控制。

分数阶脉冲积分微分方程的稳定性，解的存在性和可控性。

3．算法分析与设计

变分最优化算法，集值映射分析，随机优化算法分析，算法复杂性分析。

研究项目

1．国家重点研发计划项目基于深水功能舱的全智能新一代水下生产系统关键技术研究科技部

2．水下控制系统与水下阀门及执行机构关键技术，(2011ZX05026-003-01)，十二五重大专项，2011-2015.

3．加拿大合作项目“adaptive data mining algorithms for non-stationary data”

4．加拿大合作项目“Driver Behaviors Recognition for In-Vehicle Environment“

5．中国石油大学（北京）基础学科研究基金项目：Lp范数(0＜p≤2)正则化SVM学习算法及其在生物信息学中的应用研究，负责人

6．2009年10月－2010年6月，国家863项目“深水海管铺设张紧器等设备集成”，负责控制部分。

7．2010年9月－2011年9月，技术开发项目“安全仪表系统SIL等级评估计算软件开发”，安稳优科技有限公司。

代表成果

接受以及投稿的论文

2019年

Jian-wei Liu. Survey of One-shot and Few-shot Learning. 2019.

Lu-ning Zhang, Jian-wei Liu, Xin Zuo. Comments on ‘‘Finite-time Analysis of the Multiarmed Bandit Problem’’ 2019.

Jian-wei Liu. Survey of Meta Learning. 2019.

Jian-wei Liu. Simultaneous Localization and Mapping (SLAM). Acta Automatica Sinica,2019.

Jian-wei Liu. Deep Autoencoder. Acta Automatica Sinica.2019

Jian-wei Liu. Deep Residual Network. Acta Automatica Sinica,2019.

Jian-wei Liu. Attention Mechanism in Deep Learning. Acta Automatica Sinica.2019.

Jian-wei Liu. Theory of Generative Adversarial Learning. Chinese Journal of Computers.2019

Jian-wei Liu.Modeling with Deep Sum-Product Networks. Chinese Journal of Computers.2019

Jian-wei Liu. Deep Generative Model.Chinese Journal of Computers.2019

Jian-wei Liu. Modeling via Deep Word Embedding. Chinese Journal of Computers.2019.

Jian-wei Liu. Deep recurrent Neural Networks. Acta Automatica Sinica.2019.

Jian-wei Liu.Deep Convolutional Neural Networks. Acta Automatica Sinica.2019.

Lu-ning Zhang, Jian-wei Liu, Xin Zuo. Survival Analysis of the Compressor Station Based on Hawkes Process with Weibull Base Intensity. 2019

Si-si Zhang, Jian-wei Liu, Xin Zuo. The Improvement of the Algorithm for EG with the Relative Entropy. 2019

Run-kun Lu, Jian-wei Liu, Yuan-fang Wang, Hao-jie Xie, and Xin Zuo.Auto-Encoder based Co-Training Multi-View Representation Learning. The 23nd Pacific-Asia Conference on Knowledge Discovery and Data Mining. 2019

Zhi-juan Cao, Jian-wei Liu, Jing Liu. Survey of Provable Nonconvex Algorithms for Matrix Completion, Robust Principal Component Analysis and phase retrieval. 2019

Jian-wei Liu, Xi-hao Ding, Run-kun Lu, Xiong-lin Luo.Multi-View Capsule Net. 2019

Jian-wei Liu, Feng Gao, Run-kun Lu, Xiong-lin Luo, Chu-ran Wang.FSC-CapsNet: Fractionally-Strided Convolutional Capsule Network for complex data. 2019

Y Zhang, Jian-wei Liu, X Zuo.Survey of Multi-Task Learning. Chinese Journal of Computers.2019

Jian-wei Liu, XH Ding, XL Luo.Multimodal Deep Learning.Acta Automatica Sinica.2019

Jian-wei Liu, HD Zhao, XL Luo, J Xu .Research Progress on Batch Normalization of Deep Learning and Its Related Algorithms.Acta Automatica Sinica.2019.

Jian-wei Liu, HJ Xie, XL Luo. Research Progress on Application of Generative Adversarial Networks in Various Fields.Acta Automatica Sinica.2019

Jian-wei Liu, YF Wang, XL Luo. Research and Development on Memory Network. Acta Automatica Sinica.2019

R Lu, Jian-wei Liu, S Lian, X Zuo.Multi-Task Multi-View Representation Learning. Neural compution and application.2019

Si-si Zhang,Jian-wei Liu,Xin Zuo and Xin Wan.MRAC-MU Online Learning Algorithm for shell prediction problem.

SS Zhang, X Zuo, Jian-wei Liu.The Problem of the Adversarial Examples in Deep Learning.Chinese Journal of Computers.2019.

L Zhang, Z Xin, Jian-wei Liu.Research and Development on Zero-Shot Learning. Acta Automatica Sinica.2019

Liu Jian-Wei, GAO Feng, Luo Xiong-Lin. Survey of Deep Reinforcement Learning Based on Value Function and Policy Gradient. Chinese Journal of Computers.2019.

S Lian, Jian-wei Liu, R Lu, X Luo.Captured Multi-label Relations via Joint Deep Supervised Autoencoder. Applied Soft Computing Journal.2019

2018年

W Li, J Mo, Y Liu, N Ito, Y Murase, Jian-wei Liu.The influence maximization problem in the network under node personalized characteristics. the 3rd IEEE Cyber Science and Technology Congress 12-15 august 2018 athens.2018

Si-si Zhang, Jian-wei Liu, Xin Zuo, Xin Wan, Mohamed S. Kamel. MRAC-MU Online Learning. 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) Singapore, November 18-21, 2018

R Lu, Jian-wei Liu, S Lian, X Zuo.Multi-View Learning Based on Common and Special Features in Multi-Task Scenarios.The 37th Chinese control conference (CCC2018) .2018.

S Lian, jianwei liu, R Lu, X Luo.Multi-label Learning via Supervised Autoencoder. The 37th Chinese control conference (CCC2018).2018.

S Lian, jianwei liu, X Luo.Rank Pruning approach for Noisy Multi-Label Learning.The 2018 IEEE International Conference on Systems, Man, and Cybernetics.2018

Y Zhang, X Zuo, Jian-wei Liu. Probabilistic implicit multitask feature learning based on weight matrix partition. 2018 2nd International Conference on Artificial Intelligence, Automation and Control Technologies (AIACT 2018) Journal of Physics: Conference Series. 2018

LC Guo, Jian-wei Liu.Improved backstepping control for stochastic high-order nonlinear time delay system with a constructive mechanical system. Transactions of the Institute of Measurement and Control, 0142331217741955.2018

R Lu, X Zuo, S Lian, Jian-wei Liu, X Luo. Affine Transformation Capsule Net. The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining. 2018

2017年

刘建伟,崔立鹏,罗雄麟. 结构稀疏模型.计算机学报, 2017, 40(6): 1309-1338

Jian-wei Liu, J Zhou, MS Kamel, X Luo.Online Learning Algorithm Based on Adaptive Control Theory.IEEE Transactions on Neural Networks and Learning Systems/

X Wang, X Zuo, Jian-wei Liu, H Liang. Robust Observer-based H∞ Control for Uncertain Discrete Time-delay Systems with Nonlinearities Electric-hydraulic System Under HölderCondition.Optimal Control Applications and Methods.

X Wang, X Zuo, Jian-wei Liu, H Liang.Switch Controller for Piecewise Linear System: PID and State Tracking Adaptive Control.

X Wang, Jian-wei Liu, X Zuo, H Liang.Adaptive PID and Model Reference Adaptive Control Switch Controller for Nonlinear Hydraulic Actuator.

L Guo, Jian-wei Liu, X Zuo, H Liang.Output-Feedback Tracking Control for a Class of Uncertain Stochastic Nonlinear Systems with Uncertain Parameters for Polynomial Function Growth Conditions.Journal of The Franklin Institute.

L Guo, Jian-wei Liu, H Liang, X Zuo.Practical Output Tracking Control for a Class of Stochastic Nonlinear Systems with Polynomial Function Growth Conditions.Transactions of the Institute of Measurement and Control.

L Guo, Jian-wei Liu, H Liang, X Zuo.Backstepping Control for a Class of Stochastic High-Order Nonlinear Time-Varing Delay System with a Hydraulic Mechanical System.IET Control Theory and Applications.

Jian-wei Liu, Z Ren, FakhriKarray, AlaaKhamis, and X Luo. Discriminant Analysis with Noisy Labels based on Gaussian Mixture Models. IEEE Transactions on Cybernetics.

Jian-wei Liu, Z Ren and X Luo.Drop out the Noisy Labels by Dropout.

Jian-wei Liu, Z Ren and X Luo. Classification with label noise by hierarchical hybrid modeling.

Jian-wei Liu, Zhou J, and X Luo. Online Learning Algorithms for Shifting Experts Problem.

Jian-wei Liu, Shuang-Cheng Li, Li-peng Cui, Xiong-linLuo.Simultaneous classification and feature selection via LOG SVM and Elastic LOG SVM.The 36rd Chinese Control Conference (CCC 2017).

Jian-wei Liu, Li-peng Cui, Xiong-lin Luo.Group variable selection and parameter estimation via Group Berhu method.The 16th International Conference on Machine Learning and Cybernetics (ICMLC 2017).

2016年

刘建伟,崔立鹏,罗雄麟.概率图模型的稀疏化学习.计算机学报,39(8)：1597-1611

Y Duan, Z Xin, Jian-weiLiu.Asynchronous update based networked predictive control system using a novel proactive compensation strategy.ISA Transactions 60, 164-177.

Jian-wei Liu, LI Hai-en, Z Jiajia, L Xionglin.Survey on the Representation Theory of Probabilistic Graphical Models.Chinese Journal of Electronics , 2016, 44(5): 1219-1226.刘建伟, 黎海恩, 周佳佳, 等. 概率图模型的表示理论综述[J].电子学报, 2016, 44(5): 1219-1226.

LiuJian-wei, SunZheng-kang, LiuZe-yu, LuoXiong-lin. Domain Adaptation Learning with Kernel Logistic Regression and Kernel Canonical Correlation Analysis. Acta Electronica Sinica, 2016, 44(12): 2908-2915. 刘建伟, 孙正康, 刘泽宇, 罗雄麟. 核典型关联性分析相关特征提取与核逻辑斯蒂回归域自适应学习[J]. 电子学报, 2016, 44(12): 2908-2915.

Jian-wei Liu, L Cui, X Luo.Research and development on Structured Sparse Models and Algorithms.Computer Science ,2016,43(6A):1-16.刘建伟,崔立鹏,罗雄麟.结构稀疏模型及其算法研究进展[J].计算机科学,2016,43(6A):1-16

H Qin, X Zuo, Jian-weiLiu.Some new generalized retarded Gronwall-Like inequalities and their applications in nonlinear systems,Journal of Control Science and Engineering.

Liu J, Cui L, Luo X. MCR SVM classifier with group sparsity[J]. Optik-International Journal for Light and Electron Optics, 2016, 127(17): 6915-6926.

Xin Wang, XinZuo, Jianwei Liu, Huaqing Liang, Qi Pan.Robust Discrete-time Control for Uncertain time-delay Systems with Nonlinearities UnderHölder Continuity. The 16th International Conference on Control, Automation and Systems(ICCAS 2016), 2016.10,16-19, 1208-1213.

2015年

刘建伟, 崔立鹏, 刘泽宇, 罗雄麟.正则化稀疏模型.计算机学报, 2015, 38(7):1307-1325

刘建伟,任正平,刘泽宇,黎海恩,罗雄麟.两两关系马尔可夫网的自适应组稀疏化学习.自动化学报, 2015, 41(8):1419-1437.

刘建伟, 崔立鹏, 罗雄麟. 组稀疏模型及其算法综述. 电子学报, 2015, 43(4): 776-782.

刘建伟,刘媛,罗雄麟.半监督学习方法. 计算机学报, 2015, 38(8):1592-1618.

刘建伟, 崔立鹏, 黎海恩, 等. 概率图模型推理方法的研究进展.计算机科学, 2015, 42(4): 1-18.

Qin H, Zuo X, Jian-wei Liu, et al. Approximate controllability and optimal controls of fractional dynamical systems of order 1＜q＜2 in Banach spaces. Advances in Difference Equations, 2015, 2015(1): 1-17.

Zhou J, Jian-wei Liu, Luo X. Rademacher complexity bound for domain adaptation regression[C]//Technologies and Applications of Artificial Intelligence (TAAI), 2015 Conference on. IEEE, 2015: 273-280.

Jian-wei Liu, Zhou J, Luo X. Multiple source domain adaptation: A sharper bound using weighted Rademacher complexity[C]//2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE, 2015: 546-553.

Jian-wei Liu, Zhou J, Luo X. Multiple source domain adaptation: A bound using p-norm covering numbers[C]//2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI). IEEE, 2015: 281-288.

2014年

Jianwei Liu, Yuan Liu. Liu J, Liu Y. Non-integer norm regularization SVM via Legendre–Fenchel duality. Neurocomputing, 2014, 144: 537-545.

刘建伟,黎海恩,罗雄麟. 概率图模型学习技术研究进展. 自动化学报, 2014, 40(6): 1025-1044.

刘建伟,孙正康,罗雄麟. 域自适应学习研究进展. 自动化学报, 2014, 40(8): 1576-1600.

刘建伟,刘媛,罗雄麟.波尔兹曼机研究进展.计算机研究与发展, 2014, 51(1):1-16.(入选F5000中国精品科技期刊顶尖学术论文)

刘建伟,黎海恩,刘媛,付捷,罗雄麟.迭代再权共轭梯度q范数正则化线性最小二乘支持向量机分类算法. 控制理论与应用, 2014, 31(3):334-342.

刘建伟, 黎海恩, 罗雄麟.概率图模型表示理论.计算机科学, 2014, 41(9):1-17

刘建伟,刘媛,罗雄麟.深度学习研究进展.计算机应用研究, 2014, 31(7): 1921-1930.

Guo Long-chuan, Liu Jian-wei, ZuoXin, Liang Huaqing. Output-Feedback Stabilization for a Special Class of Stochastic Nonlinear Time-Delay System With More General Growth Conditions. Journal of Dynamic Systems, Measurement, and Control, 2014, 136(6): 061004.

Guo Long-chuan, ZuoXin,LiuJian-wei, Liang Huaqing. Output-feedback control of a class of stochastic nonlinear systems with power growth condition. International Journal of Control, Automation and Systems. 2014, 12(2):274-282.

Qin H, Liu J, Zuo X, Jian-wei Liu. Approximate controllability and optimal controls of fractional evolution systems in abstract spaces. Advances in Difference Equations, 2014, 2014(1): 1-22.

Haiyong Qin JianweiLiu,XinZuo, Controllability problem for fractional integrodifferential evolution systems of mixed type with the measure of noncompactness. Journal of Inequalities and Applications, 2014, 292: 1-15.

YinyaoDuan, ZuoXin, Liu Jian-wei. Design and stability analysis of networked control system with random delay and data dropout using a novel proactive strategy. Control & Automation (ICCA), 11th IEEE International Conference on. IEEE, 2014: 843-850.

Liu Jianwei, Cui Lipeng, LuoXionglin. Non-integer norm regularized logistic regression.Control and Decision Conference (2014 CCDC), The 26th Chinese. IEEE, 2014: 1333-1338.

Long-ChuanGuo,Hua-Qing Liang,XinZuo,Jian-Wei Liu Guo L C, Liang H Q, Zuo X, et al. Further results on output feedback control for a class of high order stochastic nonlinear systems with more general conditions.System Integration (SII), 2014 IEEE/SICE International Symposium on. IEEE, 2014: 245-250.

HaiyongQin,XinZuo, Jian-wei Liu, GuoLongchuan. Existence and Controllability Results for Fractional Impulsive Integrodifferential Systems with Nonlocal Initial Conditions in Banach Spaces. the 52nd Annual Allerton Conference on Communication, Control, and Computing October 1-3, 2014, Allerton House, UIUC, Illinois, USA, 2014.

刘建伟,刘媛,罗雄麟.用于社区检测的加权非负矩阵三因式分解,计算机工程与设计.2014, 35(12):4284-4288.

2013年

Qin H, Zuo X, Jian-wei Liu. Existence and Controllability Results for Fractional Impulsive Integrodifferential Systems in BanachSpaces.Abstract and Applied Analysis. Hindawi Publishing Corporation, 2013.

Jian-weiLiu,GuoLongchuan, ZuoXin,LiangHuaqing.Output-feedback and inverse optimal control of a class of stochastic nonlinear systems with more general growth conditions. Journal of Applied Mathematics.2013.

Jian-wei Liu, ShuangCheng Li, XionglinLuo.Iterative Reweighted Non-integer Norm Regularizing SVM for Gene Expression Data Classification. Computational and Mathematical Methods in Medicine.2013.

HailongHuang,XinZuo,Chao Huang, Jian-wei Liu. A framework for classification with single feature kernel matrix. Optik - International Journal for Light and Electron Optics,2013, 125( 3):1024-1029.

GuoLongchuan,ZuoXin,Liu Yuan, Jian-wei Liu, Liang Huaqing. Output-feedback control of a class of high-order stochastic nonlinear systems satisfying power growth conditions. Control Conference (CCC), 2013 32nd Chinese. IEEE, 2013: 407-411.

Jian-wei Liu, Chi Guang-hui,LIHai-en, Liu Yuan, LuoXiong-lin. Predicting protein structural classes with autoencoder neural networks.Control and Decision Conference (CCDC), 2013 25th Chinese. IEEE, 2013: 1894-1899.

Jian-wei Liu, ChiGuanghui, Liu Zeyu, Liu Yuan, Li Haien, LuoXiongLin. Prediction of protein secondary structure using multilayer feed-forward neural networks. Control and Decision Conference (CCDC), 2013 25th Chinese. IEEE, 2013:1346-1351.

黎海恩,刘建伟,罗雄麟.概率图模型的变分近似推理.中南大学学报, 2013, 44 (SUPPL.1): 6-11.

Huang Hailong, Jian-wei Liu, ZuoXin, Lp-norm SVM Based on reweighted Minimization with Positive Damped Item. Journal of Theoretical and Applied Information Technology. 2013, 52(2):261-267.

刘建伟, 付捷, 汪韶雷, 罗雄麟.坐标下降l2范数LS-SVM分类算法.模式识别与人工智能, 2013, 25(5): 474-480.

池光辉,刘建伟,李卫民,罗雄麟.权核Logistic回归模型的分类和特征选择算法.计算机工程与应用,2013, 49 (9): 41-44.

付捷,刘建伟,李双成,罗雄麟.基于bregman距离和等式约束正则化AdaBoost算法.计算机工程与应用, 2013, 49 (3): 166-170.

刘建伟,黎海恩,刘媛,付捷,罗雄麟. 距离和损失函数约束正则化的AdaBoost算法.计算机工程与应用, 49(15): 133-135.

左信, 黄海龙, 刘建伟. 非凸共轭梯度p范数正则化SVM分类算法. 广西师范大学学报,2013, 31(3):29-36.

刘建伟, 黎海恩, 刘媛, 付捷, 罗雄麟.迭代再权共轭梯度q范数正则化线性LS-SVM分类算法.第24届中国过程控制会议, 2013.

刘建伟, 黎海恩, 刘媛, 付捷, 罗雄麟.基于权核非线性SVM特征选择算法.第24届中国过程控制会议, 2013.

Jian-wei Liu, Chi G H, Luo X L. Contrastive divergence learning for the Restricted Boltzmann Machine[C]//Natural Computation (ICNC), 2013 Ninth International Conference on. IEEE, 2013: 18-22.

刘建伟,李双成,罗雄麟.非近似加更新和乘更新在线分类算法, 计算机学报, 2012,36 (2): 327-340.

所获荣誉

1.教育部学位与研究生教育发展中心评审专家

2.北京市自然科学基金评审专家

3．Vice Chair of Control theory and engineering Session for the 24th Chinese Process Control Conference (2013 CPCC).

4．Chair of Neural Network 1 Session 1 and Vice Chair of Neural Network Session 2 for the 25th Chinese Control and Decision Conference (2013 CCDC).

5．Member of the Technical Program Committee for the 33rd Chinese Control Conference (CCC 2014) .

6．Member of the Technical Program Committee for the 34rd Chinese Control Conference (CCC 2015).

7．Member of the Technical Program Committee for the 35rd Chinese Control Conference (CCC 2016).

8． Member of the Technical Program Committee for The 2017 International Conference on Information Science and Technology(ICIST2017)

9．Member of the Technical Program Committee for the 2nd International Conference on Control and Automation (ICCA2017).

10．Member of the Technical Program Committee for the 2016 International Conference on Artificial Intelligent and Computer Science(AICS2017).

11．Member of the Technical Program Committee for the 36rd Chinese Control Conference (CCC 2017).

12．Member of the Technical Program Committee for The 2017 International Conference on Mechanical Engineering and Control Automation (ICMECA2017)

13．Member of the Technical Program Committee for the 2017 International Conference on Intelligent Computing and Signal Processing (ICSP 2017)

14．Member of the Technical Program Committee for The 2017 International Conference on Electronic Industry and Automation (EIA2017)

15．Member of the Technical Program Committee for The 4th annual International Conference on Information Technology and Applications(ITA 2017)

16.Member of the Technical Program Committee for The International Conference on Electrical Engineering and Automation Control (ICEEAC2017)

17.Member of the Technical Program Committee for The annual 2017 International Conference on Design, Manufacturing and Mechatronics (ICDMM2017)

18. Member of the Technical Program Committee for The 2017 International Conference on Cloud Technology and Communication Engineering [CTCE2017],August 18th - 20th, 2017, Guilin, China

19. Member of the Technical Program Committee for the International Conference on Artificial Intelligence and Computer Engineering [AICE2017]

20. Member of the Technical Program Committee for 2017 International Conference on Electronics, Electrical Engineering and Information Science [EEEIS2017] ,September 8-10, 2017, Guangzhou, Guangdong, China

21. Member of the Technical Program Committee for the International Conference on Control Engineering and Mechanical Design [CEMD2017]

22.Member of the Technical Program Committeefor the 2nd IEEE International Conference on Agents (ICA 2017). Beijing, China, on July 6-9, 2017.

23.Member of the Technical Program Committeefor the 3rd Annual International Conference on Computer Science and Mechanical Automation (CSMA2017), November 10-12, 2017.City: Wuhan, Hubei, China,www.csma2017.org

24.Member of the Technical Program Committeefor The 2nd Annual International Conference on Information System and Artificial Intelligence [ISAI2017] will be held on July 14-16th, 2017 in Tianjin, China,http://www.isai2017.org/

25.Member of the Technical Program Committee for The 2018 International Conference on Control, Automation and Electrical Systems[ICCAES2018] will be held in Wuhan, China during April 20th-22nd, 2018

26.Member of the Technical Program Committee for The 2nd annual International conference on Control Engineering and Mechanical Design (CEMD2018) will be held in Guilin, China,during October 19th-21st, 2018

27.Member of the Technical Program Committee for 2018 the 2nd annual International Conference on Cloud Technology and Communication Engineering [CTCE2018] CTCE2018 will be held in Nanjing, China during August 17th-19th, 2018.

28.Member of the Technical Program Committee for The 9th Annual International Congress of Information and Communication Technology[ICICT2019]，Nanning, Guangxi, China，January 11-13, 2019

29. Committee Chair of the Computation and Information Technology Research 2018 (CITR 2018), Asia Pacific Society for Computing and Information Technology (APSCIT).August 19 - 22, 2018.

30. Member of the Technical Program Committee for 2nd Annual International Conference on Control, Automation and Electrical Systems April 19th-20th, 2019, Wuhan, China

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