Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Date of Employment:2017-04-13
School/Department:School of Automation
Administrative Position:自动化学院副院长，兼卓越工程师学院副院长
Education Level:PhD Graduate
Business Address:中南大学校本部民主楼213-2
Sex:Male
Contact Information:huangkeke@csu.edu.cn
Degree:Doctoral degree
Status:Employed
Alma Mater:清华大学
Discipline:Control Science and Engineering
黄科科，男，中南大学教授，博士生导师，硕士生导师，自动化学院副院长，兼卓越工程师学院副院长。
先后入选 国家“万人计划”青年拔尖人才、湖南省科技创新领军人才、湖南省杰出青年基金、中国科协青年托举人才、湖湘青年英才、中南大学创新驱动青年人才。
研究方向包括：复杂系统与复杂网络；大数据分析与处理；人工智能与机器学习；智能制造与工业互联网。
主持国家重点研发计划项目/课题、国家自然科学基金面上项目、青年基金、工信部工业互联网创新发展工程专项项目课题、中南大学创新驱动青年人才项目、校企合作重点项目等10余项。
曾获国家科技进步二等奖、湖南省科技进步二等奖、中国自动化学会自然科学一等奖、中国有色金属工业科技进步一等奖、IEEE TCSDM Young Professional Award、全球前2%顶尖科学家榜单（World’s Top 2% Scientists 2023）等。在IEEE Trans.、IFAC会刊等国际期刊发表SCI论文80余篇，其中，8篇论文入选ESI热点/高被引学术论文。授权国内外发明专利20余项。
担任IEEE Systems, Man, and Cybernetics Magazine、IET Cyber-Physical Systems、《中国有色金属学报（中英文版）》、《中南大学学报（自然科学版）》等多个国内外期刊编委。兼任中国有色金属学会自动化学术委员会副秘书长、中国人工智能学会智能融合专委会常务委员、中国自动化学会过程控制专业委员会委员、中国自动化学会技术过程的故障诊断与安全性专委会委员、中国自动化学会青年工作委员会委员、中国自动化学会数据驱动控制学习与优化专委会委员、中国图学学会数字孪生专业委员会委员、信息技术新工科产学研联盟工业互联网工作委员会委员等。
招才引智：博士、硕士、本科生，欢迎联系。
相关学科和研究领域包括但不限于：自动化、控制、计算机、数学、通信、工业互联网、人工智能、大数据分析等。
课题组氛围融洽，欢迎加入！
【代表性论文】
[1]. Adaptive multimode process monitoring based on mode-matching and similarity-preserving dictionary learning, IEEE Transactions on Cybernetics, IF: 19.118
[2]. Metric learning based fault diagnosis and anomaly detection for industrial data with intra-class variance, IEEE Transactions on Neural Networks and Learning Systems, IF: 14.255
[3]. Error-triggered adaptive sparse identification for predictive control and its application to multiple operating conditions processes, IEEE Transactions on Neural Networks and Learning Systems, IF: 14.255
[4]. EaLDL: element-aware lifelong dictionary learning for multimode process monitoring, IEEE Transactions on Neural Networks and Learning Systems, IF: 14.255
[5]. Fault diagnosis of hydraulic systems based on deep learning model with multirate data samples, IEEE Transactions on Neural Networks and Learning Systems, IF: 14.255
[6]. One network fits all: A self-organizing fuzzy neural network based explicit predictive control method for multimode process, IEEE Transactions on Fuzzy Systems, IF: 11.9
[7]. Cloud-edge collaborative method for industrial process monitoring based on error-triggered dictionary learning, IEEE Transactions on Industrial Informatics, IF: 11.648
[8]. Trustworthiness of process monitoring in IIoT based on self-weighted dictionary learning, IEEE Transactions on Industrial Informatics, IF: 11.648
[9]. A projective and discriminative dictionary learning for high-dimensional process monitoring with industrial applications, IEEE Transactions on Industrial Informatics, IF: 11.648
[10]. Sparse adversarial video attack based on dual-branch neural network on industrial artificial intelligence of things, IEEE Transactions on Industrial Informatics, IF: 11.648
[11]. Static and dynamic joint analysis for operation condition division of industrial process with incremental learning, IEEE Internet of Things Journal, IF: 10.238
[12]. A systematic procurement supply chain optimization technique based on industrial internet of thing and application, IEEE Internet of Things Journal, IF: 10.238
[13]. Global information-based lifelong dictionary learning for multimode process monitoring, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IF: 8.7
[14]. Knowledge-informed neural network for nonlinear model predictive control with industrial applications, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IF: 8.7
[15]. LSTM-MPC: A deep learning based predictive control method for multimode process control, IEEE Transactions on Industrial Electronics, IF: 8.162
[16]. Multimodel self-learning predictive control method with industrial application, IEEE Transactions on Industrial Electronics, IF: 8.162
[17]. Detecting intelligent load redistribution attack based on power load pattern learning in cyber-physical power systems, IEEE Transactions on Industrial Electronics, IF: 8.162
[18]. Physical informed sparse learning for robust modeling of distributed parameter system and its industrial applications, IEEE Transactions on Automation Science and Engineering, IF: 6.636
[19]. Adaptive learning control for DPS with continually emerging operational conditions, IEEE Transactions on Automation Science and Engineering, IF: 6.636
[20]. Fault diagnosis of complex industrial systems based on multi-granularity dictionary learning and its application, IEEE Transactions on Automation Science and Engineering, IF: 6.636
[21]. Robust structure identification of industrial cyber-physical system from sparse data: a network science perspective, IEEE Transactions on Automation Science and Engineering, IF: 6.636
[22]. Outlier detection for process monitoring in industrial cyber-physical systems, IEEE Transactions on Automation Science and Engineering, IF: 6.636
[23]. Rotary kiln temperature control under multiple operating conditions: an error-triggered adaptive model predictive control solution, IEEE Transactions on Control Systems Technology , IF: 5.418
[24]. Nonstationary industrial process monitoring based on stationary projective dictionary learning, IEEE Transactions on Control Systems Technology , IF: 5.418
[25]. LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural network, Neural Networks, IF: 9.657
[26]. SDARE: A stacked denoising autoencoder method for game dynamics network structure reconstruction, Neural Networks, IF: 9.657
[27]. A geometry constrained dictionary learning method for industrial process monitoring, Information Sciences, IF: 8.233
[28]. Multi-objective adaptive optimization model predictive control: decreasing carbon emissions from a zinc oxide rotary kiln, Engineering, IF: 12.834
[29]. A robust transfer dictionary learning algorithm for industrial process monitoring, Engineering, IF: 12.834
[30]. Reconstruction of tree network via evolutionary game data analysis, IEEE Transactions on Cybernetics, IF: 19.118
[31]. Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network, Knowledge-based Systems, IF: 8.139
[32]. Adaptive process monitoring via online dictionary learning and its industrial application, ISA Transactions, IF: 5.911
[33]. A latent feature oriented dictionary learning method for closed-loop process monitoring, ISA Transactions, IF: 5.911
[34]. Structure dictionary learning-based multimode process monitoring and its application to aluminum electrolysis process, IEEE Transactions on Automation Science and Engineering, IF: 6.636
[35]. Incorporating latent constraints to enhance inference of network structure, IEEE Transactions on Network Science and Engineering, IF: 5.033
[36]. Intrusion detection of industrial internet-of-things based on reconstructed graph neural networks, IEEE Transactions on Network Science and Engineering, IF: 5.033
[37]. Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process, Neurocomputing, IF: 5.779
[38]. Distributed dictionary learning for industrial process monitoring with big data, Applied Intelligence, IF: 5.019
[39]. Label propagation dictionary learning based process monitoring method for industrial process with between-mode similarity, Science China Information Sciences, IF: 7.275
[40]. Ensemble forecasting for product futures prices using variational mode decomposition and artificial neural networks, Chaos Solitons and Fractals, IF: 9.922
[41]. Transfer dictionary learning method for cross-domain multimode process monitoring and fault isolation, IEEE Transactions on Instrumentation and Measurement, IF: 5.332
[42]. Unified stationary and nonstationary data representation for process monitoring in IIoT , IEEE Transactions on Instrumentation and Measurement, IF: 5.332
[43]. Reweighted compressed sensing-based smart grids topology reconstruction with application to identification of power line outage, IEEE Systems Journal, IF: 4.902
[44]. A multi-rate sampling data fusion method for fault diagnosis and its industrial applications, Journal of Process Control, IF: 3.951
[45]. Distributed dictionary learning for high-dimensional process monitoring, Control Engineering Practice, IF: 4.057
[46]. Emergent inference of hidden markov models in spiking neural networks through winner-take-all, IEEE Transactions on Cybernetics, IF: 19.118
