
Haozhi Tan
Real-time Structural Health Monitoring Using Machine Learning Algorithm. • Collected hundred terabytes of sensor network data, including meteorological... | New Zealand
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Haozhi Tan’s Emails h.****@au****.ac
Haozhi Tan’s Phone Numbers No phone number available.
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Haozhi Tan’s Location New Zealand
Haozhi Tan’s Expertise Real-time Structural Health Monitoring Using Machine Learning Algorithm. • Collected hundred terabytes of sensor network data, including meteorological data, environmental data and building movement data. • Cleansed the raw data by detecting and correcting corrupted records using statistical techniques. • Mined and analysed sensor data to improve data quality for further data insights extraction • Wrote python and R codes to create statistical models to analyse the environmental effects on the building dynamic properties. • Utilised and compared unsupervised and supervised machine learning algorithms (MSD, Artificial Neural Network, Decision Tree) to predict if the records are from damaged buildings or undamaged buildings. • Developed a novel unsupervised machine learning algorithm to predict records from the damaged building and achieved more than 20% higher accuracy and 95% less time demand compared to traditional methods in structural health monitoring field and validated using real-world damaged buildings after earthquakes. • Utilised Microsoft Azure to build, train and deploy models. • Evaluated the performance of machine learning models using AUC-ROC curves. • Visualised data analysis results using MATLAB, Python and Tableau. • Achieved automated real-time damage detection of buildings after earthquakes, which assisted post-earthquake response, reduced downtime and saved money for building owners.
Haozhi Tan’s Current Industry Blue Barn Consulting Ltd
Haozhi
Tan’s Prior Industry
The University of Auckland
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Blue Barn Consulting Ltd
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Work Experience

Blue Barn Consulting Ltd
Structural Engineer
Sun Jul 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) — Present
The University of Auckland
PHD Researcher
Mon Sep 01 2014 00:00:00 GMT+0000 (Coordinated Universal Time) — Wed Aug 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time)