QX
Qiang Xu
University of Huddersfield, Teesside University, University of Birmingham, Swansea Institute of Higher Education, The University of Wales, UK
Research areas: Engineering · Mechanical Engineering · High Temperature Alloys and Creep · Fatigue and fracture mechanics · Fusion materials and technologies
0000-0002-5903-9781
Employment
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University of Huddersfield Senior Lecturer2013 - Present
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Teesside University senior lecturer2006 - 2013
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Swansea Institute of Higher Education, The University of Wales, UK Lecturer/senior lecturer2004 - 2006
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University of Huddersfield Research Fellow/Senior Research Fellow1999 - 2004
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UMIST: The University of Manchester Institute of Science and Technology Research Associate1996 - 1999
Education
- 1991 - 1996
Projects & Funding
Projects & funding information is unavailable.
Publications (158)
- Learn the fundamental characteristics of handwritten characters for a necessary neural network calibration Save
- Comparison of LMP and MHS+MG Models for Oxidation-Corrected Creep Rupture Life Prediction of Grade 23 Steel Save
- A Stress-Space Reparameterization Framework for Unified Minimum Creep Strain-Rate Equations Save
- Comparison of LMP and MHS+MG Models for Oxidation-Corrected Creep Rupture Life Prediction of Grade 23 Steel Save
- From Cavitation–Strain Correlation to Admissible Model Discovery Save
- Toward Mechanism-Resolved Creep Damage Modelling Save
- Memcapacitive charge memory in inverse spinel NiFe₂O₄ enabled by defect-assisted dielectric polarization Save
- Retrieval augmented generation (RAG) with enhanced SBERT fine-tuning vector summarization in medical domain Save
- A Hybrid Time-Frequency and Lightweight Deep Learning Model for Intelligent Fault Diagnosis of Rolling Bearings Save
- The Societal Benefits of AI Interventions and Intelligent Technology Save
- Bridging legacy and innovation: mechanism-resolved reform of creep damage equations of high-Cr steels in long-term service Save
- Survey and Analysis for the Challenges in Computer Science to the Automation of Grading Systems Save
- A deep learning model to enhance lung cancer detection using 'Dual-Branch' model classification approach Save
- A robust deep learning model selection with data augmentation for automatic detection of tessellated fundus images and explainable artificial intelligence based interpretation Save
- A Comparative Study on the Contact Fatigue Failure Mechanisms of Mn-Cr Series and Cr-Mo Series Gear Steels Based on Surface Integrity and Damage Morphology Save
- Research on Flow Field Optimization and Performance Test of Vertical Honeycomb Wet Electrostatic Precipitator Save
- Research on Flow Field Optimization and Performance Test of Vertical Honeycomb Wet Electrostatic Precipitator Save
- TTS-Integrate Save
- Truly Mechanism Based Develop Creep Damage Constitutive Equations for Wide Range of Stress Save
- Research on the Digital Twin System of Welding Robots Driven by Data Save