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J
Jarvis H.

Jarvis H.

Doctoral Researcher - Southwest Jiaotong University

Hong Kong flagChengdu, Hong Kong

Key Skills

Software

No software listed

Top Subject Matter

Engineering/physics time-series data (wind-vehicle-bridge interaction scenarios)
Legal Services & Contract Review
Regulatory Compliance & Risk Analysis

Top Data Types

DocumentDocument
Computer Code ProgrammingComputer Code Programming
TextText

Top Task Types

Computer Programming/CodingComputer Programming/Coding
Data CollectionData Collection
Function CallingFunction Calling
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Text SummarizationText Summarization

Freelancer Overview

Doctoral Researcher - Southwest Jiaotong University. Brings 11+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Doctor of Philosophy, Southwest Jiaotong University (2022) and Bachelor of Engineering, Southwest Jiaotong University (2016). AI-training focus includes data types such as Document, Computer Code, and Programming and labeling workflows including Evaluation and Rating.

Labeling Experience

Doctoral Researcher - Southwest Jiaotong University

Conducted doctoral research on ultra-short-term wind prediction and related wind-structure dynamics modeling. Developed a forecasting approach combining wavelet transform, deep belief networks, and ensemble learning for time-series prediction in engineering contexts. Curated multi-year meteorological and structural monitoring datasets and built MATLAB-based coupled dynamics simulation tools with strict numerical accuracy. • Built a wind speed prediction model using wavelet transforms, DBN, and ensemble learning and published as first author in Energy Conversion and Management. • Curated and processed 5+ years of meteorological and structural monitoring data and supported labeling taxonomies for interaction scenarios. • Developed a MATLAB wind-train-bridge coupled dynamics simulation platform for multidimensional time-series analysis. • Coordinated and contributed to national- and provincial-level research projects with multidisciplinary researchers.

2016 - 2022

Doctoral Researcher — Machine Learning Research and Data Curation & Annotation (Sep 2016–Jun 2022)

DocumentDocument

During the Ph.D. research period, you curated and processed multi-year meteorological and structural monitoring data for downstream model training and validation. You also designed labeling taxonomies specifically for wind-vehicle-bridge interaction scenarios. The labeled data and validation workflow supported ultra-short-term wind speed prediction model development using wavelet transform, deep belief networks, and ensemble learning. • Defined labeling taxonomies for scenario-based training and evaluation • Curated and processed 5+ years of monitoring data for model-ready inputs • Established structured quality/validation practices to ensure training data suitability • Supported scenario-level annotation requirements for model validation

2016 - 2022

Education

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Southwest Jiaotong University

Doctor of Philosophy, Bridge and Tunnel Engineering

Doctor of Philosophy
2016 - 2022
S

Southwest Jiaotong University

Bachelor of Engineering, Civil Engineering

Bachelor of Engineering
2012 - 2016

Work History

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Southwest Municipal Design & Rearch Institute

Senior R&D Engineer

Chengdu
2022 - Present
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Southwest Jiaotong University

Doctoral Researcher

Chengdu
2016 - 2022