CV

Education

• Ph.D in Electrical Engineering, University of Bristol, UK, 2025
  • Thesis: A Trustworthy Cycle: Enabling the Reliable Interdependence between Machine Learning and Humans
• B.Eng. (First-Class Honours) in Network Engineering, Fujian Normal University, CN, 2020

Work experience

• 2024 - present: Senior Research Associate in High Performance Network @Center for Sociodigital Futures, University of Bristol
  • Duties includes:
    • Lead the “Environmental Impact of Future Networks” project, focusing on innovative sustainable future network technologies and their environmental impact on wider 6G roll-out scenarios and sociodigital futures.
    • Designed and developed comprehensive energy consumption models for UK nation-wide telecom network using static and dynamic modelling methodologies.
    • Developed energy-efficient AI solutions to reduce RAN and data centre energy consumption.
    • Led interdisciplinary teams in collaborations between academia (cross-faculties) and industry (BT, DTC Telcom), resulting in real-world implementations and demonstrations, and multiple research papers.
    • Collaborated with community organizations, policymakers and jury citizens to explore how the development of 6G is embedded in geopolitical tensions, and to facilitate conversations using speculative methods that inspire diverse communities to imagine, articulate, and reflect on their visions for the future of network technologies.
  • Line Manager: Professor Rasheed Hussain & Professor Susan Halford
• 2022: Research Intern in Connected Vehicle Data Exchange @Transport Research Lab Software, UK
  • Duties includes:
    • Developed state-of-the-art simulation interfaces for connected vehicle data exchange using PTV VISSIM.
    • Designed AI-driven decision-making models for intelligent transport systems to improve Portsmouth traffic efficiency and achieve lower carbon emission.
    • Designed and applied the embedding of ethical theories under the data exchange model, analysed the interpretable decision-making outcomes on assisting intelligent transportation system developers to improve model’s efficiency.
  • Line Manager: Christopher Kettell
• 2021-2023: Postgraduate Teaching Assistant @Computer Science Department, University of Exeter
  • Duties includes:
    • Assisted module leaders in conducting lectures, grading assignments, and preparing course materials.
    • Provided support to students
    • Led tutorial sessions, lab demonstrations, and discussion sections.
    • Delivered modules in Data Structure and Algorithm, Software Development, The C Family, and Enterprise Computing.

Skills

• Optimisation & Decision-making
  • Multi-objective optimisation
  • Reinforcement learning (Q-learning, DQN)
  • Autonomous decision-making
• Machine Learning Frameworks
  • Pytorch
  • TensorFlow
  • SciKit-Learn
  • Flower
• Ethical and Trustworthy AI
  • Sociotechnical design principles
  • AI safety, fairness, transparency, responsibility
• Data Management & Programming
  • Data Structures
  • SQL
  • Microservice Architectures
  • OOP Languages (Python, Java, C++)
  • API Design
• Networking & 5G/6G Technologies
  • Software-Defined Networking (SDN)
  • Network Functions Virtualisation (NFV), network slicing
  • Virtual/Containerised Network Functions (VNF/CNF) Orchestration
  • Open-RAN, AI-RAN
  • 5G Core
• Network Operations (NetOps) Tools
  • Docker
  • Kubernetes
  • Container Network Interface (CNIs)
  • OpenStack
  • Open5GS
  • Prometheus
  • Grafana
• Soft Skills
  • Strong research and technical writing
  • Interdisciplinary collaboration
  • Container Network Interface (CNIs)
  • Analytical thinking and communication
  • Research project and resource management

Publications

The Cambridge Handbook of Generative AI and the Law

Federated intelligent service function chain orchestration in future 6g networks

Ethical Decision-making for the Inside of Autonomous Buses Moral Dilemmas

An energy-efficient and trustworthy unsupervised anomaly detection framework (EATU) for IIoT

A survey on explainable anomaly detection for industrial internet of things

Service and leadership

• Member of the Women in Engineering (WES), representing the Faculty of Science and Engineering, University of Bristol, UK
• Mentor in GW4 Connect Programme: Cross-institutional membership programme for postgraduate researchers of colour, GW4 Alliance, UK
• Technical program committee member in multiple conferences: IEEE Global Communications Conference (Selected areas in Next-Generation Networking and Internet 2025), IEEE International Conference on Trust, Security and Privacy in Computing and Communications (2025), IEEE Conference on Artificial Intelligence (2023), International Conference on Network and Service Management (Selected areas in explainable AI for Network, 2023)
• Reviewer for multiple top Journals: IEEE Wireless Communications, IEEE Internet of Things, IEEE Transactions on Network Science and Engineering