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Xavier WANG

About

Xavier WANG

AI Researcher & Doctoral Researcher in Disaster Science

Institute of Mountain Hazards and Environment, Chinese Academy of Sciences

Academic publications: Lili Wang

I am a researcher moving from computer science into disaster science. For me, artificial intelligence is not a technology demonstration detached from reality; it is a way to understand complex systems, work with uncertainty, and support action.

My research begins with mountain hazards and focuses on the relationship between data, models, and physical processes: how change can be detected from remote-sensing and spatiotemporal observations, how world and generative models can represent and simulate evolving processes, and how research can become usable systems.

Photography extends the same way of observing—an attention to terrain, scale, light, and fleeting moments. MIND · MODELS · MOTION is therefore not an isolated slogan, but a framework connecting my research, engineering, and visual practice.

01Current Research Identity

Institute of Mountain Hazards and Environment, Chinese Academy of Sciences

Focus
Disaster intelligence · world models · generative AI

02Education

  1. Doctoral Researcher

    Institute of Mountain Hazards and Environment, Chinese Academy of Sciences

  2. 2024-09 — 2026-01

    MSc in Information Technology

    The Hong Kong Polytechnic University

  3. 2020-09 — 2024-07

    BSc in Computer Science

    The Hong Kong Polytechnic University

03Research and Work Experience

  1. 2024-05 — 2026-01

    Researcher

    Institute of Chengdu High-Tech Disaster Reduction

    Research, development, and application of multi-hazard early-warning technologies and rainfall foundation models.

  2. 2023-05 — 2023-07

    Intern — Smart City Operations

    Nanshan District Government Services and Data Administration, Shenzhen

    Smart city operations management, with a focus on “Credit+” services: credit-based medical care and credit-based parking.

  3. 2022-05 — 2022-08

    Testing Development / Backend Development / Data Operations

    ZTE Corporation

    Requirements alignment, testing development, and data operations for supply-chain business systems, using Java, Python, and SQL.

    • Functional testing and verification of 12 system requirements, with designed test cases.
    • Development and delivery of 5 supply-chain backend requirements.
    • 4 multi-dimensional data operations analyses supporting business operations and anomaly investigation.

04Skills and Methods

AI and Research

  • Python
  • PyTorch
  • Machine Learning
  • Computer Vision
  • Generative AI
  • Diffusion Models
  • Spatiotemporal Modeling

Engineering

  • Java
  • C++
  • Backend Development
  • Full-Stack Development
  • System Design
  • API Development

Data and Infrastructure

  • SQL
  • Data Processing
  • Data Visualization
  • IoT
  • LoRaWAN
  • Git
  • Linux

05Awards and Activities

  • Freshman Python Programming Contest — Merit
  • Code Jam — Google’s Coding Competition

06Fieldwork and Community

Hong Kong Polytechnic University Chongqing New Student Liaison

2022-05 — 2023-05

Selected through open recruitment by the Student Affairs Office; connected with incoming students in Chongqing, answered questions about preparation and campus life, and organized regional gatherings and team-building activities.

Shifang Black Fungus Industry Field Research and Community Project

2022-09 — 2023-05

A joint project of PolyU, Sichuan University, and the city of Shifang. Conducted field visits on black fungus cultivation and local industry conditions, and compiled research material for development analysis and support planning.

Curriculum Vitae

Full CV available upon request.

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