Chengqiang Huang
PhD Student at University of Exeter
Greater Exeter Area United Kingdom
Summary
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Senior🎓
Top SchoolChengqiang Huang is a PhD student at the University of Exeter with nine years of experience focused on anomaly detection across systems, particularly time series anomaly detection for network management. His background in network engineering and network security (B.Eng. and MCA from Xidian University) and a visiting stint in cryptography at JAIST inform a systems-oriented, security-aware approach to novel-detection problems. He researches one-class classification, clustering for novelty detection, and related machine learning methods, bridging theory and practical monitoring applications. Prior experience as an IT engineer at China Merchants Bank gives him real-world exposure to enterprise systems and operational constraints. Based in Greater Exeter, he combines academic rigor with applied insight, often seeking methods that scale to live network telemetry rather than only offline benchmarks. An uncommon strength is his cross-disciplinary fluency in networking, security, and ML, enabling him to translate anomaly research into deployable detection pipelines.
9 years of coding experience
Visting Student, Cryptography, Visting Student, Cryptography at Japan Advanced Institute of Science and TechnologyMaster of Computer Applications (MCA), Network Security, Master of Computer Applications (MCA), Network Security at Xidian UniversityDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Exeter
English, ChineseGithub contributions (5)
chengqianghuang/exp-anomaly-detector-AIOps
Jul 2018 - Nov 2018
Contributions:9 commits, 8 pushes, 1 branch in 3 months
chengqianghuang/anomaly-detection-survey
Aug 2018 - Nov 2019
Contributions:1 push, 1 branch in 1 year 3 months
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