vitae

Education, appointments, teaching, academic service, awards and skills, with a downloadable PDF.

General Information

Full Name:
  • HE, Zhipeng
Chinese Name:
  • 何志鹏
Preferred Name:
  • Zippo
Contact:
  • zippo [dot] he [at] qut [dot] edu [dot] au
Languages:
  • Mandarin Chinese (native), English (proficient)

Research Areas

  • Privacy-Preserving & Federated Learning for Healthcare
  • Adversarial Attacks & Robust ML
  • Reinforcement Learning for Energy Systems
  • Explainable AI

Education

  • 2022.02 - 2026.04

    Brisbane, Australia

    Doctor of Philosophy, Ph.D.
    Queensland University of Technology
    School of Information Systems
    • Thesis: Building Adversarially Robust Predictive Systems for Tabular Data
    • Co-advised by A/Prof. Chun Ouyang (Principal Supervisor), Prof. Alistair Barros (Associate Supervisor) and A/Prof. Catarina Moreira (External Supervisor @UTS)
    • Addressed adversarial robustness of machine learning models on tabular data. Investigated state-of-the-art attack techniques, characterised what makes attacks on structured data imperceptible, and proposed metrics and a benchmark for evaluating these characteristics, laying the groundwork for defence mechanisms that improve model robustness against adversarial attacks in tabular domains.
    • Awarded QUT Postgraduate Research Award (International) and QUT HDR Tuition Fee Sponsorship
  • 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

Academic Experience

  • 2026.06 - Present

    Brisbane, Australia

    Postdoctoral Fellow
    School of Mechanical, Medical and Process Engineering, Queensland University of Technology
    • Conduct research on AI-To-Data (ATD), a decentralised privacy-preserving AI framework for multi-institute medical data, advancing it from TRL 3 to TRL 5 under the Australia’s Economic Accelerator (AEA) Ignite grant.
    • Build training and evaluation pipelines to validate ATD at scale across distributed nodes on multi-modality medical datasets.
    • Manage milestone delivery of the 12-month grant, covering progress tracking, risk management, and reporting to the funder.
  • 2026.06 - Present

    Brisbane, Australia

    Senior Project Officer
    Energy Transition Centre & School of Information Systems, Queensland University of Technology
    • Conduct research on multi-agent reinforcement learning (MARL) for coordinated optimisation of distributed Battery Energy Storage Systems (BESS) across household and community scales.
    • Design and implement MARL architectures for cross-scale coordination, balancing household objectives with community-level goals such as grid stability and renewable energy utilisation.
    • Develop a simulation testbed integrating public energy datasets to empirically evaluate the coordination architectures.
  • 2025.08 - 2025.12

    Brisbane, Australia

    Research Associate
    Energy Transition Centre & School of Information Systems, Queensland University of Technology
    • Reviewed and synthesised literature on BESS with a focus on operational optimisation across different scales.
    • Analysed how optimisation approaches and objectives differ across system scales.
    • Developed a structured framework to summarise and compare existing optimisation methods.
  • 2025.04 - 2025.09

    Brisbane, Australia

    Senior Research Assistant
    School of Information Systems, Queensland University of Technology
    Corporate partner: eLu Australia
    • Established baseline understanding of electricity outages and price dynamics in the Australian National Electricity Market (NEM) through review of AEMO reports, industry literature, and exploratory data analysis.
    • Identified and analysed root causes of electricity outages and price volatility within the NEM.
    • Developed and evaluated a predictive model for electricity price forecasting, improving on current AEMO capabilities.
    • Designed and implemented an interactive dashboard for visualising historical NEM data and real-time electricity price forecasts.
  • 2023.11 - 2023.12

    Brisbane, Australia

    Research Assistant
    School of Information Systems, Queensland University of Technology
    • Collected literature on multi-modal fusion for time-sequence data and identified related research gaps
    • Developed multi-modal fusion methods for time-sequence data to enhance the capability of predictive systems
    • Developed an open-source tool package implementing the fusion methods, enabling testing and validation
    • Designed and executed evaluation experiments using publicly accessible real-world datasets
  • 2021.10 - 2021.12

    Brisbane, Australia

    Research Assistant
    School of Information Systems, Queensland University of Technology
    • Developed an analytical method for applying explainable AI (XAI) techniques to the inspection of predictive models
    • Implemented the method as an open-source tool package for testing and validation using publicly available real-life datasets
    • Built visualisations of model inspection results and developed a website for project publicity
  • 2021.07

    Brisbane, Australia

    Participant
    AMSI Winter School 2021, Centre for Data Science, Queensland University of Technology
    • Attended lectures and tutorials on advanced statistical learning such as Bayesian statistics and Markov chain Monte Carlo methods
    • Gained knowledge of generative deep learning models
    • Presented a participant talk titled Deep Learning-based Business Process Prediction
  • 2020.11 - 2021.02

    Brisbane, Australia

    Vacation Research Experience Scheme (VRES) Student
    School of Information Systems, Queensland University of Technology
    Project: 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
    • A project showcase was presented to all VRES students and supervisors from the School of Computer Science and School of Information Systems

Teaching Experience

  • 2025.02 - 2025.11

    Brisbane, Australia

    Academic Tutor, IFN695 MDA Minor Project
    Faculty of Science, Queensland University of Technology
    • Proposed the topic of Australia’s National Electricity Market for the graduate research project unit, a capstone unit for the Master of Data Analytics program
    • Assisted with weekly student supervision, participated in presentation assessment panels, and graded final project reports
  • 2024.02 - 2024.06

    Brisbane, Australia

    Teaching Assistant, IFN703/4 MDA Advanced Project
    Faculty of Science, Queensland University of Technology
    • Proposed the topic of Anomaly Detection in ECG Signals for the graduate research project unit, a capstone unit for the Master of Data Analytics program
    • Assisted with weekly student supervision, participated in presentation assessment panels, and graded final project reports

Academic Service

Journal Reviewer:
  • Applied Soft Computing
  • Biomedical Engineering: Applications, Basis and Communications
  • Discover Computing
  • Expert Systems With Applications
  • IEEE Journal of Biomedical and Health Informatics
  • IEEE Open Journal of the Industrial Electronics Society
  • International Journal of Data Science and Analytics
  • International Journal of Machine Learning and Cybernetics
  • Journal of King Saud University - Computer and Information Sciences
  • Journal of Visual Communication and Image Representation
  • Knowledge-Based Systems
  • Neural Processing Letters
  • Patterns
  • Scientific Reports
  • SoftwareX
  • Telecommunication Systems
  • The Journal of Supercomputing
Conference Reviewer:
  • International Conference on Business Process Management (BPM) 2026
  • International Conference on Process Mining (ICPM) 2024–2025
  • World Conference on eXplainable Artificial Intelligence (xAI) 2024

Professional Experience

  • 2026.02 - Present

    Brisbane, Australia

    Full-Stack AI Engineer
    Self-employed
    • Provide AI consulting on business process automation, software architecture, and practical adoption of LLM-based solutions.
    • Design and build AI agent systems for business use cases, covering architecture, workflow automation, and LLM integration.
    • Develop backend services and web interfaces to connect business data, tools, and human workflows.
  • 2020.03 - 2020.10

    Brisbane, Australia

    Capstone Analyst (Industry Capstone Project)
    Suncorp Group
    • Delivered an industry-partnered capstone project to support the integration of Management Information Systems for the Insurance Portfolio Management Office in Suncorp.
    • Conducted business analysis and configured enterprise architecture tools (ARIS and Alfabet), integrating systems using existing APIs and data frameworks, and customising object and model mappings to meet organisational requirements.
    • Developed integration risk management and deployment documentation to support production implementation.

Honors and Awards

  • 2025
    High Achiever HDR Student
    Faculty of Science, Queensland University of Technology

    Awarded for sustained high achievement in research and esteem measures

  • 2025
    Best HDR Championship
    School of Information Systems, Queensland University of Technology

    Awarded for outstanding leadership, advocacy and impactful research within the HDR community

  • 2025
    HDR Accomplishment Award
    School of Information Systems, Queensland University of Technology

    Awarded for high-quality research with strong publications as an HDR candidate

  • 2024
    Doctoral Consortium Outstanding Presentation Award
    School of Information Systems, Queensland University of Technology

    Awarded for the outstanding presentation at the 2024 Doctoral Consortium

  • 2022–2025
    QUT Postgraduate Research Award (QUTPRA) (International)
    Queensland University of Technology

    Competitive living stipend for full-time PhD research at QUT

  • 2022–2026
    QUT HDR Tuition Fee Sponsorship
    Queensland University of Technology

    Full tuition fee sponsorship for the Doctor of Philosophy at QUT

  • 2021
    Dean's List Award
    Faculty of Science, Queensland University of Technology

    Awarded in recognition of excellent academic performance for Honours at QUT

  • 2021
    AMSI Winter School Scholarship
    Australian Mathematical Sciences Institute

    Awarded for funding participation in the AMSI Winter School in July 2021

  • 2021
    QUT International Merit Scholarship
    Queensland University of Technology

    Awarded for academic excellence, funding the Bachelor of Information Technology (Honours) at QUT

  • 2020
    Vacation Research Experience Scheme (VRES) Scholarship
    Queensland University of Technology

    Funded a three-month research project on visualisation for organisational analytics

  • 2020
    QUT International Merit Scholarship
    Queensland University of Technology

    Awarded for academic excellence, funding the Bachelor of Information Technology (Information Systems) at QUT

  • 2018–2019
    First-class Scholarship for Undergraduate Student
    Jinling Institute of Technology

    Awarded for funding undergraduate study at JIT

  • 2017–2018
    Merit Student Award
    Jinling Institute of Technology

    Awarded in recognition of outstanding academic performance at JIT

Skills

Machine Learning & AI: adversarial machine learning and robustness evaluation for tabular data, privacy-preserving and federated learning for multi-institute healthcare data, reinforcement learning and multi-agent RL for energy storage optimisation, time-series forecasting for electricity price and demand, explainable AI and interpretable model design, deep learning with PyTorch, plus scikit-learn, Pandas and Jupyter for experimentation
AI Engineering: LLM-based agent systems, tool use, and workflow automation, full-stack development with Python backends and TypeScript/React web frontends, interactive dashboards for data analytics and real-time forecasting
Tools & Infrastructure: Python, TypeScript/JavaScript, Shell, SQL, LaTeX, Docker, Git, GitHub Actions, and HPC job scheduling with PBS, developer documentation with Markdown/MDX static sites, PostgreSQL and NoSQL databases for data warehousing and processing