Xuhao(Peter) Du - CV ============

Always enthusiastic in working on real-world problem with colleagues and data

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Shenton Park   duxuhao88@gmail.com

Perth       Linkedin

Australia     Github ——————- —————————-

Education

PhD, Mechanical Engineering (Mar. 2015- Feb. 2019 (expected))

• The University of Western Australia, Australia

  The mechanical and electromagnetic properties of power transformer core - approach from Artificial Intelligent

BSc, Physics (Sep. 2010- June 2014)

• Nanjing University, Nanjing, China

  Physics and Acoustics

Online Course, Big Data (Sep. 2015- present)

• Coursera

  Deep Learning Series Certificate

  Data Science Series Certificate

  Executive Data Science Series Certificate

Work Experiences

Research Officer (Mar. 2017 – Present)

• The Marshall Centre for Infectious Diseases Research and Training, UWA

  – Working as a research officer in the Marshall Centre, in charge of the algorithm and hardware developemeng.

  – Achieved 87% diagnosis accuracy. Patent under reviewed.paper

  – Western Australia Innovator of the Year 2018 (Finalist).link

• Project Website Media Report 1 Media Report 2.

Ph.D. (Mar. 2015 – Present)

• The Centre of Acoustics, Dynamic and Vibration, UWA

  – Power transforme core vibration reduction using genetic algorithm transfer learning for combining machine learning algorithms, finite lement model and experiment data paper

  – Use generative adversarial networks for small sample expansion for further fault diagnosis of devicex. paper under review

  – Analytical model of the magnetic field within the transformer (Maxwell Equation, Equivalent magnetic circuit)

  – Analytical model of the mechanical response of the laminated structure (First-order principle, Spring-Mass model)

Acoustics Architect (July 2014 - Nov. 2014)

• Duoyi Network, Guangzhou, China

  – Built instant communication system in online games.

Acoustic Consultant (Sep. 2013 - Dec. 2013)

• Forevergreen

  – Provide noise and vibration reduction solutions.

Selected Competition Experiences

Top 1 / 2000+ (Sep. 2016 – Oct. 2016)

• Customer pattern recognition on online finance – Rong 360

  – key: Features Engineering; good validation; model stacking; excellent presentation!

• Competition Website Media Report

Top 6 / 5000+ (May 2018 – July 2018)

• Prediction the purchase time of target customers – JDATA-2018

  – key: Data consruction, validation construction, Features Selection

• Competition Website Main Code

Top 12 / 5000+ (Mar. 2018 – Apr. 2018)

• Prediction of the conversion rate of advertisement – IJCAI-2018

  – key: Features Selection

• Competition Website Main Code.

Young Innovator Award (May 2017)

• Use sound the gain insights into performance, maintenance and failures – Unearth Hackathon

  – key: Acoustic beamforming for devices localization; Neural Network for instrument identification (99.5% accuracy) and gradient boosting tree for condition mornitoring (95%)

• Competition Website Main Code.

Top 19 / 3000+ (May 2016 – July 2016)

• Prediction the demand and supply gap at certern and and space – DiDi

  – key: Data consruction, validation construction, Features Selection

• Code

Side Projects

Apply hybrid AI in civil engineering

• Comparative Study of Hybrid Artificial Intelligence Approaches for Predicting Hangingwall Stability paper

• Prediction of open stope hangingwall stability using random forests paper

Apply autoencoder in signal enhancement

• Applied autoencoder with multiple layer and customized loss function for biosound enhancement

Develop features selection library (200+ stars)

• for general features selection based on certain machine learning algorithm and evaluation methos repo, pip

Use logistic regression for snapping shrimp detection

• Use logistic regression to train the extracted snapping shrimp noise features for shrimp quantity detection.

Apply machine learning in room acoustics

• A study on the optimal English speech level for Chinese listeners in classrooms paper

• Apply machine learning to obtain the optimal English speech level code

Skills

• Machine Learning:

  • Algorithms (Tree-based, SVM, Logistic Regression, Transfer learning, Genetic)
  • Deep Learning (DNN, CNN, AutoEncoder, GAN)
  • Spiky Neural Network
  • Features Engineering repo pip

• Coding:

  • Python/Matlab/R/C++/Java
  • Tensorflow
  • Cloud computing/Spark

• Acoustics:

  • Active noise control
  • Signal Processing
  • Model Analysis
  • Achitectural Acoustics

• Human Languages:

  • Cantonese (native speaker)
  • Chinese (native speaker)
  • English

• Interest:

  • Basketball Champion!
  • Data Mining Competitions
  • Acting (moive, drama)
  • Travel
  • Comic

Other Awards

• Outstanding Ph.D. Research Award of Western Australia

• I-INCE Young Professional 2017 link

• IBM Cloud Research Funding Grant 2016

• International Postgraduate Researcg Scholarship (Commenwealth) 2015 - 2018

• Young Scientist Grant (ICBEN) 2014