CV

Basics

Name Wanyu Pei
Label Postdoctoral Research Fellow
Email peiwanyu@u.nus.edu
Url https://wanyu-pei.github.io/
Summary My research focuses on spatial intelligence for the built environment and low-carbon cities. I integrate domain knowledge with artificial intelligence, combining building and city information modeling (BIM/CIM), geographic information systems (GIS), multimodal AI, knowledge graphs, and digital twins. My work addresses multiscale intelligent sensing and spatial information modeling of the built environment, circular use of building components and materials, and AI-driven carbon emissions prediction and decision support.

Work

Education

  • 2021.08 - 2025.11

    Singapore

    PhD
    National University of Singapore
    Architecture; Supervisor: Rudi Stouffs
  • 2018.09 - 2020.01

    China

    Master of Engineering
    Harbin Institute of Technology (Shenzhen)
    Architecture; Supervisor: Xiangmin Guo; Tiantian Lo
  • 2013.09 - 2018.07

    China

    Bachelor of Architecture
    Hebei University of Engineering
    Architecture

Awards

Languages

Mandarin
Native
English
Fluent

Interests

Research
Spatial intelligence for the built environment
Low-carbon cities
BIM/CIM and GIS
Multimodal AI
Knowledge graphs and digital twins
Circular construction and material stocks
Carbon emissions prediction and decision support

Projects

  • 2022 - 2024
    Circular Future Cities — Future Cities Laboratory Global
    PhD Researcher, Singapore-ETH Centre (SEC). Funded by the National Research Foundation Singapore (NRF) under the CREATE programme and ETH Zurich.
    • Integrated BIM/GIS, spatial information, and domain knowledge for multiscale digital representation and spatial information modeling of the built environment.
    • Investigated the quantification, spatial distribution, flows, and reuse potential of building components and materials to support urban resource circularity and low-carbon decision-making.
  • 2025 - 2026
    Using Physics-Based and AI-Driven Urban Building Energy Modeling (UBEM) for Operational and Embodied Carbon Emissions Estimation in a Seed Region
    Postdoctoral Research Fellow, Urban Redevelopment Authority (URA)–National University of Singapore (NUS) collaboration. Project ID: SC-URA-NUS-2025-1.
    • Combines physics-based models and AI with BIM/CIM, GIS, satellite imagery, street-view imagery, and multisource spatial information for multimodal sensing and spatial information modeling.
    • Investigates the identification and inference of spatial elements, structural systems, and material composition, as well as prediction and scenario analysis of material intensity, operational carbon, and embodied carbon.
  • 2026 - 2026
    Development of a Spatial Intelligence Database and Generative Models for Robotic Simulation Training Environments
    Participating Researcher, China State Construction Engineering Corporation (CSCEC) 2026 R&D programme, China Southwest Architectural Design and Research Institute. Total project funding: RMB 6 million.
    • Contributes to a built-environment spatial intelligence database and generative models for robotic simulation training environments.
    • Investigates digital representation of multisource spatial information, scene understanding, and scene generation to support environmental perception, spatial cognition, simulation training, and intelligent decision-making for construction robots.
  • 2024.06 - 2024.07
    Circular Cities Workshop
    Organizer and instructor of the “Circular Cities” workshop at DigitalFUTURES 2024, focusing on explainable material inference and parametric archetype modeling.

Publications

Volunteer

  • Journal and conference reviewer
    Academic peer review
    Reviewer for Sustainable Cities and Society; Resources, Conservation & Recycling; Communications Sustainability; and Building and Environment. Conference reviewer for CAADRIA 2021.