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

  • 2022.02 - Present

    Brisbane, Australia

    Doctor of Philosophy, Ph.D.
    Queensland University of Technology
    School of Information Systems
  • 2021.02 - 2021.12

    Brisbane, Australia

    Bachelor of Information Technology (Honours), First Class Honours
    Queensland University of Technology
    School of Information Systems
  • 2020.02 - 2020.11

    Brisbane, Australia

    Bachelor of Information Technology (Information Systems)
    Queensland University of Technology
    Faculty of Science and Engineering
    • JIT-QUT Joint Bachelor of IT Program
    • Graduated with 6 out of 7 GPA
    • Awarded QUT International Merit Scholarship
  • 2016.09 - 2020.11

    Nanjing, China

    Bachelor of Engineering (Software Engineering)
    Jinling Institute of Technology
    Faculty of Software Engineering
    • JIT--QUT Joint Bachelor of IT Program
    • Graduated with 87% Weighted Average Mark

Honors and Awards

  • 2022 - 2025
    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 - 2025
    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

  • 2022.02 - PRESENT

    Brisbane, Australia

    PhD Research Project
    Queensland University of Technology
    School of Information Systems
    • Title: Building Robust Predictive Systems for Tabular 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 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 tabular data.
  • 2023.11 - 2023.12

    Brisbane, Australia

    Research Assistant
    Queensland University of Technology
    School of Information Systems
    • Collect literatures about multi-modal fusion on time-sequence data and find related research gaps
    • Develop multi-modal fusion methods for time-sequence data to enhance the capability of predictive systems
    • Develop an open-source tool package to implement the fusion methods, enabling testing and validation.
    • Design and execute experiments for evaluation, utilizing publicly accessible real-world datasets.
  • 2021.10 - 2021.12

    Brisbane, Australia

    Research Assistant
    Queensland University of Technology
    School of Information Systems
    • 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
  • 2021.02 - 2021.12

    Brisbane, Australia

    Honours Research Project
    Queensland University of Technology
    School of Information Systems
    • 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
  • 2021.07

    Brisbane, Australia

    2021 AMSI Winter School Academic Training
    Queensland University of Technology
    Centre for Data Science
    • 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
  • 2020.11 - 2021.02

    Brisbane, Australia

    VRES Research Project
    Queensland University of Technology
    School of Information Systems
    • 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.

Teaching Experience

  • Semester 1, 2024

    Brisbane, Australia

    Teaching Assistant - IFN703/4 - MDA Advanced Project
    Queensland University of Technology
    Faculty of Science
    • Propose the topic of Anomaly Detection in ECG Signals for the Graduate Research Project unit
    • Assist in the delivery of the Graduate Research Project unit, which is a capstone unit for the Master of Data Analytics program

Professional Experience

  • 2020.03 - 2020.10

    Brisbane, Australia

    Business Analyst Intern
    Suncorp Group
    • 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.

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