CV
Curriculum Vitae of Haoran Xu — PhD candidate in Geotechnical Engineering at Dalian University of Technology. The English PDF is also available via the download button above.
Contact Information
| Name | Haoran Xu |
| Professional Title | PhD Candidate · Geotechnical Engineering · DLUT |
| [email protected] | |
| Location | No. 2 Linggong Road, Ganjingzi District, Dalian, Liaoning 116024 |
Professional Summary
PhD candidate (2nd year, expected graduation 2028) at Dalian University of Technology. Research at the interface of rock mechanics and AI: digital twin of tunnels, multi-modal data fusion, diffusion-based microseismic denoising, and flexible, low-cost, automated vision-based monitoring of high steep slopes and tunnel surrounding rock at large area.
Education
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2022 - present Dalian, China
PhD · direct M.Phil.–PhD (recommended)
Dalian University of Technology (985 / Double First-Class)
Geotechnical Engineering
- Rock mechanics · Continuum mechanics · Numerical methods in geotechnics · Deep learning
- Institute of Rock Instability and Seismicity Research, School of Infrastructure Engineering.
- Led by Prof. Chun-an Tang (Cheung Kong Distinguished Professor of the Ministry of Education; Recipient of the National Science Fund for Distinguished Young Scholars of China).
- Advised by Prof. Shibin Tang (National Young Top-Notch Talent).
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2018 - 2022 Dalian, China
B.Eng. · Class Rank
Dalian Maritime University (211 / Double First-Class)
Civil Engineering
- Graduated as the top student of the Civil Engineering programme.
Highlights
Awards
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2025 Doctoral Excellence Scholarship (top 3%)
Ministry of Education
10,000 CNY · One of the highest-prestige scholarships for PhD candidates in China.
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2021 National Scholarship for Encouragement (×3 consecutive years)
Ministry of Education
Top 3% · 5,000 CNY each · awarded three consecutive years during undergraduate study.
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2024 Second Prize, Science & Technology Progress Award
China General Chamber of Commerce (with national-award nomination eligibility)
Technical contributor.
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2021 Excellence Award, Zhou Pei-yuan National College Mechanics Competition
Zhou Pei-yuan National College Mechanics Competition
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2022 Outstanding Graduate, Dalian Municipality
Dalian Municipality
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2021 Provincial Grade-B, National College Innovation & Entrepreneurship Program
Liaoning Province
Project: Visualization of Bridge Health Monitoring Data in BIM.
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2018 University-level Honors
DMU & DLUT
Outstanding Bachelor’s Thesis (DMU); Outstanding Postgraduate (DLUT, multiple times); Second Prize, National College Computer Design Competition (university); Single-event scholarships; Outstanding Student Cadre & Youth-League Cadre.
Publications
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2026 A dual-condition diffusion-based microseismic signals denoiser for real-world engineering noise
Advanced Engineering Informatics, 71, 104374 · CAS Tier-1 Top, IF 9.9
Pioneered the use of diffusion models for engineering microseismic denoising. A dual-condition reverse process preserves weak precursors of failure under realistic engineering noise and provides cleaner inputs for rockburst early-warning models.
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2025 Digital tunnel geometry model (DTGM): A multimodal data-fusion framework for rock mass feature quantification
Int. J. Rock Mechanics & Mining Sciences, 194, 106212 · CAS Tier-1 Top, IF 7.5
A LiDAR + photogrammetry fusion framework that produces a textured, geo-referenced 3D model of the tunnel face and walls, and automatically extracts discontinuities, fracture statistics, over/under-break, and surface displacement.
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2024 Rock fracture identification algorithm based on the confidence score and non-maximum suppression
Bull. Eng. Geol. Environ., 83(6), 213 · CAS Tier-2 Top, IF 4.2
A fracture-aware detection pipeline combining a learned confidence score with non-maximum suppression for thin, low-contrast traces — a building block of the DTGM framework.
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2023 Review for the microseismic source location in surrounding rock of deep-buried tunnels
Journal of Central South University, 30(12), 4182–4196 · JCR Q1, IF 4.4
Patents
- Granted · CN121148105A · 2025-11-18 · DLUT — Vehicle-mounted & mobile-platform multimodal geo-hazard sensing, alarming and avoidance system.
- Granted · CN121140636A · 2026-04-07 · DLUT — Lightweight rock–soil deformation and motion monitoring system.
- Granted · CN121140665A · 2026-03-24 · DLUT — High-density pixel-tracking-based real-time deformation monitoring method.
- Granted · CN119784814A · 2025-10-31 · DLUT — Laser-point-cloud-based tunnel over-/under-excavation identification & volume calculation.
- Granted · CN116883373A · 2026-02-13 · DLUT / Nanfen Open-Pit Mine / CRCC 24th Bureau Fujian Co. — Rock-mass fracture identification method.
- Granted · CN116575920A · 2023-05-08 · DLUT — Tunnel rockburst prevention combining advance stress-relief boreholes and hydraulic fracturing.
- Published · CN121579849A · 2025-10-11 · DLUT — Diffusion-model-based microseismic signal denoising method and system.
- Published · CN121582302A · 2025-10-11 · DLUT — Color- and geometry-fused tunnel point-cloud registration method.
- Published · CN119919576A · 2024-12-18 · DLUT — Static digital-twin tunnel model construction.
- Published · CN119919473A · 2024-12-18 · DLUT — Voxel-based tunnel over-/under-excavation identification and volume calculation.
- Published · CN119941828A · 2024-12-18 · DLUT — Monte-Carlo-based automatic tunnel over-/under-excavation volume calculation.
- Published · CN119941632A · 2024-12-18 · DLUT — Automated fracture-parameter extraction from a digital-twin model.
- Published · CN118274739A · 2024-04-03 · DLUT — Tunnel-contour extraction from 3D laser-scan data.
- Published · CN118333889A · 2024-04-03 · DLUT — Denoising method for tunnel 3D laser-scan data.
Projects
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Spatiotemporal intelligent rockburst early-warning in deep hard rock
NSFC General Program · 500 k CNY · PI: Prof. Shibin Tang · Role: core technical contributor. Pioneered the use of diffusion models in engineering microseismic denoising to preserve weak precursory signals, and built a deep-learning spatiotemporal early- warning model for rockburst on top of the denoised data; published in Adv. Eng. Inform. (CAS Tier-1 Top, IF 9.9).
- Diffusion-based microseismic denoiser (Adv. Eng. Inform., 2026)
- Spatiotemporal early-warning network for rockburst
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Progressive deterioration & protective mining of steep high-cold open-pit slopes (Xinjiang)
NSFC Joint Fund Program · 570 k CNY · PI: Prof. Shibin Tang · Role: core technical contributor. Targeting the difficulty of deploying conventional contact-based monitoring in steep, high-cold environments, developed a non-contact vision-based deformation monitoring solution and built a lightweight edge-side prototype, providing a key observation channel for progressive slope-deterioration warning. Methods are protected by a granted Chinese invention patent.
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Digitalization & intelligent recognition of tunnel engineering-geological information under complex environments
Industry contract with Guangxi Hydraulic & Electric Survey, Design and Research Institute · 2,000 k CNY · 2025.10–2027.10 · Role: sole technical lead. Owned the entire pipeline from requirement analysis to algorithm delivery, independently developing core algorithms including the Digital Tunnel Geometry Model (DTGM), intelligent rock-mass fracture identification, tunnel over/under-excavation recognition and defect detection. Underpins one IJRMMS (CAS Tier-1 Top) paper and 3 granted invention patents.
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High-density feature-tracking-based real-time intelligent monitoring of slope deformation
Industry contract with Guangxi Jiaoke Group · 300 k CNY · 2026.01–2027.02 · Role: sole technical lead. Independently delivered the project end-to-end, from technical roadmap to on-site deployment. Targeting large-area, low-cost, automated, real-time deformation detection in cluttered natural scenes, proposed and implemented a high-density pixel-tracking visual solution, protected by a granted Chinese invention patent.
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Other classified national engineering projects
Details available upon request, subject to confidentiality.
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NSFC Young Student Basic Research Program (Doctoral) · sole applicant
Independently authored all core sections of the proposal — rationale, research content, technical roadmap, feasibility analysis, expected outcomes — and submitted as the sole applicant. End-to-end experience of an academic-grant application from research-question framing to roadmap design.