Academic Staff
.jpg "Prof. JIANG Feifeng (蔣妃楓教授)")
Prof. JIANG Feifeng (蔣妃楓教授)
Assistant Professor
Urban Computing, Human-Centered Urban Sustainability, Generative AI
| Office: | AAB 1227 |
| Tel: | (852) 3411 2580 |
| Fax: | (852) 3411 5990 |
| Email: | feifengjiang@hkbu.edu.hk |
PROFESSIONAL PREPARATION
- 2024-2025, Research Assistant Professor, The University of Hong Kong
- 2021-2024, Postdoctoral Fellow, The University of Hong Kong
- 2017-2020, Ph.D., City University of Hong Kong
RESEARCH INTERESTS
- Urban Computing and Data Mining
- Generative AI for Urban Planning and Development
- Human Mobility and Urban Sustainability
TEACHING
- Smart, Resilient and Sustainable Cities
Selected Research Projects
- PI, General Research Fund (GRF), Research Grants Council, Exploring the Distribution of Pedestrian Exposure to Air Pollution in Densely Populated Urban Areas, 01/2026–12/2028, HKD 893,140.
- PI, Seed Fund for Basic Research for New Staff, The University of Hong Kong, Generative AI for Regional Pedestrian Modeling: High-Resolution Distribution for Smarter Urban Planning, 2024, HKD 150,000.
- Co-I, Teaching Development Grant, The University of Hong Kong, Pioneering Question-Driven Learning with AI: A Large Language Model Approach for Automated Question Generation, HKD 300,000.
- Jiang, F., et al. 2025. A hybrid framework for regional land valuation using generative intelligence and AutoML techniques. Landscape and Urban Planning 259, 105365. (IF=9.2)
- Jiang, F., et al. 2025. Graph-based machine learning for high-resolution assessment of pedestrian-weighted exposure to air pollution. Resources, Environment and Sustainability 20, 100219 (IF=7.8)
- Jiang, F., et al. 2025. Environmental Justice in the 15-Minute City: Assessing Air Pollution Exposure Inequalities Through Machine Learning and Spatial Network Analysis. Smart Cities 8, 53. (IF=5.5)
- Jiang, F., et al. 2024. Automated site planning using CAIN-GAN model. Automation in Construction 159, 105286. (IF=11.5)
- Jiang, F., et al. 2024. Estimating and explaining regional land value distribution using attention-enhanced deep generative models. Computers in Industry 159–160, 104103. (IF=9.1)
- Jiang, F., et al. 2023. Building layout generation using site-embedded GAN model. Automation in Construction 151, 104888. (IF=11.5)
- Jiang, F., et al. 2023. Generative urban design: A systematic review on problem formulation, design generation, and decision-making. Progress in Planning 100795. (IF=5.7, Highly Cited Paper, Hot Paper)
- Jiang, F., et al. 2022. Pedestrian volume prediction with high spatiotemporal granularity in urban areas by the enhanced learning model. Sustainable Cities and Society 79, 103653. (IF=12.0)
- Jiang, F., et al. 2022. Prediction of energy use intensity of urban buildings using the semi-supervised deep learning model. Energy 249, 123631. (IF=9.4)
- Jiang, F., et al. 2021. A comprehensive study of macro factors related to traffic fatality rates by XGBoost-based model and GIS techniques. Accident Analysis & Prevention 163, 106431. (IF=6.2)