vitae

Course of Life

General Information

Full Name HE, Zhipeng
Chinese Name 何志鹏
Preferred Name Zippo
Contact zhipeng [dot] he [at] hdr [dot] qut [dot] edu [dot] au
Languages Mandarin Chinese (native), English (fluent)

Research Areas

  • Adversarial Attacks & Robust ML
  • Explainable AI
  • Structured Data

Education

  • Feb. 2022
    - Now
    Doctor of Philosophy, Ph.D.
  • Feb. – Dec.
    2021
    Bachelor of Information Technology (Honours), First Class Honours
  • Feb. – Nov.
    2020
    Bachelor of Information Technology (Information Systems)
    • JIT-QUT Joint Bachelor of IT Program
    • Graduated with 6 out of 7 GPA
    • Awarded QUT International Merit Scholarship
  • Sept. 2016 –
    Nov. 2020
    Bachelor of Engineering (Software Engineering)
    • JIT--QUT Joint Bachelor of IT Program
    • Graduated with 87% Weighted Average Mark

Honors and Awards

  • 2022 -
    2024
    QUT Postgraduate Research Award (QUTPRA) (International)
    • Awarded for international students of exceptional research potential undertaking a Higher Degree by Research (HDR) at QUT
    • Offered an annual stipend to assist with general living costs for Doctor of Philosophy at QUT
  • 2022 -
    2024
    QUT HDR Tuition Fee Sponsorship
    • Awarded for international students of exceptional research potential undertaking a Higher Degree by Research (HDR) at QUT
    • Offered 100% of tuition fees discount for Doctor of Philosophy at QUT
  • 2021
    QUT International Merit Scholarship
    • Awarded for the academic excellence in Bachelor of Information Technology (Information Systems) at QUT
    • Offered 25% of tuition fees discount for Bachelor of Information Technology (Honours) at QUT
  • 2020
    QUT Vacation Research Experience Scheme (VRES) Scholarship
    • Awarded for the achievements and recognised suitability for conducting and managing a research project successfully to completion during the study of Bachelor of Information Technology (Information Systems) at QUT
    • Offered a VRES scholarship with a stipend of $2,000 to contribute to a research project
  • 2020
    QUT International Merit Scholarship
    • Awarded for the academic excellence in Bachelor of Engineering (Software Engineering) at JIT
    • Offered 25% of tuition fees discount for Bachelor of Information Technology (Information Systems) at QUT

Academic Experience

  • Feb. 2022
    - Now
    PhD Research Project
    • Title: Building Robust Predictive Systems for Structure Data
    • Co-advised by A/Prof. Chun Ouyang, Prof. Alistair Barros and Dr. Catarina Moreira
    • The focus of this research will be on addressing challenges related to adversarial robustness in tabular and sequential data. To accomplish this, the research will investigate cutting-edge attack techniques and analyse the characteristics of successful attacks on structured data. Furthermore, the study will propose an evaluation framework to benchmark these characteristics, aiming to develop defense mechanisms that ultimately enhance the robustness of machine learning models against adversarial attacks in both tabular and sequential data.
  • Oct. - Dec.
    2021
    Research Assistant
    • Develop an analytical method for applying explainable AI (XAI) techniques to inspection of predictive models
    • Implement the method as an open-source tool package for testing and validation
    • Design and conduct experiments for evaluation using publicly available real-life datasets
    • Build visualisation of model inspection results
    • Develop a website for project publicity
  • Feb. – Dec.
    2021
    Honours Research Project
    • Title: Investigating the Impact of Event Logs on Deep Learning-based Process Prediction Performance
    • Co-advised by A/Prof. Chun Ouyang and Dr. Catarina Moreira
    • Focusing on investigating and analysing the potential influence of specific characteristics of event logs when predicting next business process activity using deep learning techniques
      • Studying and identifying key characteristics of event logs
      • Analysing the effects of event log characteristics on predicting next processactivity based on LSTM and Transformer
    • Presenting the research findings and outcome in the scientific paper (KBS 2022) and Honours thesis
  • July 2021
    2021 AMSI Winter School Academic Training
    • Attended lectures and tutorials of advanced statistical learning knowledge such as Bayesian Statistics and Markov chain Monte Carlo related methods
    • Gained knowledge of generative deep learning models
    • Presented a participant talk titled Deep Learning-based Business Process Prediction during the winter school
  • Nov. 2020 –
    Feb. 2021
    VRES Research Project
    • Title: Towards Design and Development of Interactive Visualisation for Organisational Analytics
    • Advised by A/Prof. Chun Ouyang
    • Aimed to address how to visualise organisational analytics results as informed by existing visual analytics design principles
    • Proposed an organisational mining visualisation design workflow for selecting appropriate visualisation techniques to generate organisational mining visualisation
    • A project showcase was presented to all the VRES students and supervisors from School of Computer Science and School of Information Systems.

Professional Experience

  • Mar. – Oct.
    2020
    Business Analyst Intern
    • Coordinated with a team to integrate the enterprise architectural systems within the insurance department.
    • Gathered business requirements and improving data models and reporting frameworks to improve efficiency.
  • July – Oct.
    2019
    Java Web Developer Intern
    • Project experience with Java web development frameworks -- Spring
    • Project experience with database modelling and implementation of application backend
    • Performs system analysis and system design functions for highly difficult web-based software applications and systems

Computer skills

  • Programming Skills:
    • Python programming for data mining
    • Web application development using Spring in Java and Django in Python
    • Shell scripting on UNIX-like systems
  • Data Science Skills:
    • Sound understanding of models in Statistical Learning, Machine Learning and Deep learning, and implementing them in Python and R
    • Proficient in creating visualisation for data analytics using Programming Languages (e.g., JavaScript, JSON and Python) and Software (e.g., Tableau)
    • Proficient in handling multi-dimensional sequential data (e.g., event logs) for predictive analytics
    • Excel in developing RNN-based deep learning models for Natural Language Processing and Business Process Prediction
    • Experience with SQL databases (e.g., SQL Server and PostgreSQL) and NoSQL databases (e.g., MongoDB) for data warehousing and data processing
    • Experience with Python libraries, e.g., Pandas and Scipy ecosystems, for data preprocessing and data profiling