Across disciplines.
Grounded in systems.

Research and engineering across HCI, intelligent sensing, and applied AI.

Education

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  1. Jun 2021Jan 2026

    University of New South Wales (UNSW)

    University of New South Wales (UNSW)

    Doctor of Philosophy

    Computer Science & Engineering

    Sydney, Australia

    Doctoral thesis ↗
  2. Sep 2016Jun 2019

    University of Science and Technology of China (USTC)

    University of Science and Technology of China (USTC)

    Master of Engineering

    Information and Communication Engineering

    Hefei, Anhui, China

  3. Sep 2012Jun 2016

    Donghua University (DHU)

    Donghua University (DHU)

    Bachelor of Engineering

    Electronic Information Engineering

    Shanghai, China

Research & Work Experience

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  1. Feb 2026 – May 2026

    Institute of Science Tokyo

    Remote Research Collaboration

    Remote

    Human–AI interaction through physiological and multimodal sensing.

  2. 2025 – 2026

    Smart Systems Institute, National University of Singapore

    Research Fellow (Postdoctoral Researcher)

    Singapore

    Multimodal affect sensing and LLM-supported wellbeing interfaces.

  3. Jun 2024 – Sep 2024

    2012 Lab, Huawei

    Research & Development Engineer Intern

    Shanghai, China (Remote)

    LLM-based document retrieval with LangChain.

Earlier experience 2015–2022 · 6 roles

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  1. Dec 2021 – Mar 2022

    DingOS, Lenovo

    Visiting Scientist

    Beijing, China

    Led motion-adaptive interfaces for mobile and wearable interaction.

  2. Sep 2020 – Sep 2021

    Pervasive HCI Group, Tsinghua University

    Research Assistant

    Beijing, China

    Authentication, tracking, and gestures for intelligent displays.

  3. Aug 2019 – Feb 2020

    Human–Computer Interaction Lab, University of Maryland

    Research Intern

    College Park, Maryland, United States

    Built a wall-climbing robot for spatial tangible interaction.

  4. Jun 2018 – Sep 2018

    iFLYTEK

    Algorithm Engineer Intern

    Hefei, Anhui, China

    Computer vision for object recognition and classification.

  5. Jun 2017

    SUGAR Expo, Stanford University

    Visiting Student

    Stanford, California, United States

    ME310 global design collaboration and SUGAR Expo.

  6. Sep 2015 – Oct 2015

    ZTE

    Course Intern

    Taicang, Jiangsu, China

    Built an Arduino-based smart cane for accessible navigation.

Funded collaborations

2026 · NII Open Collaborative Research

Human-Centered Task Decomposition for Enhancing AI Quality and Trustworthiness

Role: Collaborating Researcher

2025 · MOE AcRF Tier 2

Exocortex: Towards a New Paradigm for Augmenting Cognitive Capabilities

Role: Research team member

Collaboration & Impact

Shared questions. Systems built together.

Study, work, and research collaborations. Points locate institutions, not a travel history or formal partnerships.

Selected places of study, work, and collaboration

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Select a city to see its institutions and connections.

Coastline: Natural Earth · Public domain. Approximate city locations; simplified coastline.

Coauthored research reflects authors’ affiliations at publication. Science Tokyo and Huawei connections do not imply on-site visits. Dingdao is also a research connection; its office city is unverified.

Shared knowledge

Connect a design space.

A taxonomy of context-aware interfaces across 109 papers.

Read the survey

Collaborative research

Contribute to a shared direction.

Team roles in research on AI trustworthiness and cognitive augmentation.

View projects and roles