Zhiqiang Huo (霍志强) received the B.Sc. degree and M.Sc. degree from the School of Information Engineering, University of Geosciences (Beijing), China in 2013 and 2016, respectively. He received his Ph.D. degree from the University of Lincoln, UK, in 2020. He now is a Research Associate with the Institutional Research Information System (IRIS) at the University College London (UCL), UK. He is also a member of CHIMERA at UCL, which dedicates to improving the healthcare and outcomes of critically ill patients.
His research interests include time-series complexity analysis, data mining, machine learning, and artificial intelligence. He has published over 20 publications in IEEE leading journals and conferences, such as IEEE Transactions on Instrumentation and Measurement, IEEE Network, and IEEE ACCESS. He has over 400 citations in Google Scholar.
Publications - Journals
Ye Liu, Lei Shu, Zhiqiang Huo, Kim F. Tsang, Gerhard P. Hancke, Collaborative Industrial Internet of Things for Noise Mapping: Prospects and Research Opportunities, IEEE Industrial Electronics Magazine (IF: 13.593), 2021
Zhiqiang Huo, Miguel Martínez-García, Yu Zhang, Ruqiang Yan, Lei Shu. “Entropy Measures in Machine Fault Diagnosis: Insights and Applications,” IEEE Trans. on Instrument and Measurement (IF: 3.658), 69(6): 2607-2620, 2020.
Zhiqiang Huo, Yu Zhang, Gbanaibolou Jombo, Lei Shu. “Adaptive Multiscale Weighted Permutation Entropy for Rolling Bearing Fault Diagnosis,” IEEE Access (IF: 3.745), 8: 87529 – 87540, 2020.
Ye Liu, Xiaoyuan Ma, Lei Shu, Qing Yang, Yu Zhang, Zhiqiang Huo, Zhangbing Zhou. “Internet of Things for Noise Mapping in Smart Cities: State-of-the-Art and Future Directions,” IEEE Network (IF: 8.808), 2020.
Weifeng Sun, Min Tang, Lijun Zhang, Zhiqiang Huo, Lei Shu. “A Survey of Using Swarm Intelligence Algorithms in IoT,” Sensors, 20(5): 1420, 2020.
Naiquan. Su, Xiao Li, Qinghua Zhang, Zhiqiang Huo. “Composite Fault Diagnosis for Rotating Machinery of Large Units Based on Evidence Theory and Multi-information Fusion,” 2019, Shock and Vibration (IF: 1.298), 2019.
Zhiqiang Huo, Yu Zhang, Lei Shu, Michael Gallimore. “A New Bearing Fault Diagnosis Method based on Fine-to-Coarse Multiscale Permutation Entropy, Laplacian Score and SVM,” IEEE Access (IF: 3.745), 7: 17050-17066, 2018.
Zeyu Zhang, Amjad Mehmood, Lei Shu, Zhiqiang Huo, Yu Zhang, and Mithun Mukherjee. “A Survey on Fault Diagnosis in Wireless Sensor Networks,” IEEE Access (IF: 3.745), 6: 11349-11364, 2018.
Zhiqiang Huo, Yu Zhang, Pierre Francq, Lei Shu, Jianfeng Huang. “Incipient Fault Diagnosis of Roller Bearing using Optimized Wavelet Transform based Multi-speed Vibration Signatures,” IEEE Access (IF: 3.745), 5: 19442-19456, 2017.
Lei Shu, Yuanfang Chen, Zhiqiang Huo, Neil Bergmann, Lei Wang. “When Mobile Crowd Sensing Meets Traditional Industry,” IEEE Access (IF: 3.745), 5: 15300-15307, 2017.
Publications - Conferences
Zhiqiang Huo, Yu Zhang, Lei Shu, Xiaowen Liao. “Edge Permutation Entropy: An Improved Entropy Measure for Time-Series Analysis,” in Proc. IEEE IECON, 2019.
Mei Li, Zhiqiang Huo, Fabien CAUS, Yu Zhang. “Comparative Study of Combined Fault Diagnosis Schemes Based on Convolutional Neural Network,” in Proc. ICPCSEE, 2019.
Zhiqiang Huo, Yu Zhang, Lei Shu, Yunrong Lv, Shuiquan Lin. “Bearing Fault Diagnosis using Multi-sensor Fusion based on Weighted D-S Evidence Theory,” in Proc. Mechatronika, 2018.
Zhiqiang Huo, Yu Zhang, Lei Shu. “Fine-to-Coarse Multiscale Permutation Entropy for Bearing Fault Diagnosis,” in Proc. IWCMC, 2018.
Zhiqiang Huo, Yu Zhang, Lei Shu. “A Comparative Study of WPD and EMD for Shaft Fault Diagnosis,” in Proc. IEEE IECON, 2017.
Zhiqiang Huo, Yu Zhang, Richard Sath, Lei Shu. “Self-adaptive Fault Diagnosis of Roller Bearings using Infrared Thermal Images,” in Proc. IEEE IECON, 2017.
Zhiqiang Huo, Yu Zhang, Zhangbing Zhou, Jianfeng Huang.“Crack Detection in Rotating Shafts using Wavelet Analysis, Shannon Entropy and Multi-class SVM,” in Proc. INISCOM, 2017.
Zhiqiang Huo, Yu Zhang, Lei Shu. “A Short Survey on Fault Diagnosis of Rotating Machinery using Entropy Techniques,” in Proc. of INISCOM, 2017.
Zhiqiang Huo, Mithun Mukherjee, Lei Shu, Yuanfang Chen, Zhangbing Zhou. “Cloud-based Data-intensive Framework towards Fault Diagnosis in Large-scale Petrochemical Plant,” in Proc. IEEE IWCMC, 2016.
Xuhui Zhang, Lei Shu, Zhiqiang Huo, Mithun Mukherjee, Yu Zhang. “A Short Review of Constructing Noise Map using Crowdsensing Technology,” in Proc. CollaborateCom, 2017.
Zhiqiang Huo, Lei Shu, Zhangbing Zhou, Yuanfang Chen, Kailiang Li, Junlin Zeng. “Data Collection Middleware for Crowdsourcing-based Industrial Sensing Intelligence,” in Proc. Mobihoc, 2015.
Lei Shu, Junlin Zeng, Kailiang Li, Zhiqiang Huo, Xiaoling Wu, Xianjun Wu and Huilin Sun. “WIFI-based Smart Car for Toxic Gas Monitoring in Large-scale Petrochemical Plants,” in Proc. IEEE ICCE-TW, 2015.
Lei Shu, Kailiang Li, Junlin Zeng, Xiangjie Li, Huilin Sun, Zhiqiang Huo, and Guangjie Han. “Demo Abstract: A Smart Helmet for Network Level Early Warning in Large Scale Petrochemical Plants,” in Proc. ACM/IEEE IPSN, 2015.
Lei Shu, Zhiqiang Huo, Zhangbing Zhou, Kailiang Li, Junlin Zeng, and Huilin Sun. “Poster Abstract: Using Wearable Equipment to Construct Monitoring Maps in Large-scale Petrochemical Plants,” in Proc. ACM/IEEE IPSN, 2015.
Best Paper Award, 3rd INISCOM Conference, 2017, Vietnam 2017
PhD Student Scholarship, University of Lincoln, UK 2016
CNPC (China National Petroleum Corporation) Scholarship, CUGB 2015
Outstanding Graduates Awards of Beijing City, Beijing City 2013
Outstanding Graduates Awards of University, CUGB 2013