Systematic Urban Management Lab

Data-Driven Solutions for Urban Challenges

Department of Architecture and Civil Engineering

City University of Hong Kong

Explore Our Research

About Our Lab

The Systematic Urban Management Lab at City University of Hong Kong focuses on developing innovative, data-driven approaches to address contemporary urban challenges.

Our research integrates advanced computational methods, artificial intelligence, and domain expertise to create sustainable and intelligent solutions for urban systems. We are committed to bridging the gap between theoretical research and practical applications in urban planning, building management, and environmental sustainability.

Led by Prof. Qian-Cheng Wang, our interdisciplinary team works at the intersection of architecture, civil engineering, computer science, and environmental studies to shape the future of urban living.

10+
Research Projects
20+
Publications
5+
Team Members

Research Areas

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Data-Driven Urban Analytics

Leveraging big data and machine learning to understand and predict urban phenomena, from traffic patterns to energy consumption in buildings.

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AI for Smart Buildings

Developing intelligent systems for building management, energy optimization, and occupant comfort using artificial intelligence and IoT technologies.

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Urban Sustainability

Researching sustainable urban development strategies, including green infrastructure, renewable energy integration, and climate resilience.

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Knowledge Engineering

Creating semantic models and knowledge graphs to enhance decision-making in urban planning and building design processes.

Our Team

Principal Investigator

QW

Prof. Qian-Cheng Wang

Presidential Assistant Professor

Department of Architecture and Civil Engineering, CityU

[Brief biography will be added here - Please replace this text with Prof. Wang's full bio, research interests, education background, and key achievements]

PhD Students

PhD

Student Name

PhD Candidate

Research: [Research topic]

Email
PhD

Student Name

PhD Candidate

Research: [Research topic]

Email

Master Students

MS

Student Name

Master Student

Research: [Research topic]

Email
MS

Student Name

Master Student

Research: [Research topic]

Email

Alumni

Alumni Name (Year) - Current Position at Institution
Alumni Name (Year) - Current Position at Institution

Publications

2025

Example Publication Title About Urban Analytics and Machine Learning

Author1, Q.-C. Wang, Author3, Author4

Journal of Urban Technology, Vol. X, No. X, 2025

2024

Another Research Paper on Smart Building Systems

Author1, Author2, Q.-C. Wang

Building and Environment, Vol. X, No. X, 2024

2024

Knowledge Graph Applications in Urban Planning

Q.-C. Wang, Author2, Author3

Applied Energy, Vol. X, No. X, 2024

2023

Data-Driven Approaches for Urban Sustainability Assessment

Author1, Q.-C. Wang, Author3

Sustainable Cities and Society, Vol. X, No. X, 2023

Latest News

Dec 2024

New Paper Accepted!

Our paper on urban energy modeling has been accepted for publication in [Journal Name]. Congratulations to the team!

Nov 2024

Conference Presentation

Prof. Wang presented our latest research on AI-powered building systems at the International Conference on Smart Cities.

Oct 2024

New Team Members

Welcome to our new PhD students joining the lab this semester! We're excited to have you on board.

Sep 2024

Research Grant Awarded

We are thrilled to announce that our lab has been awarded a research grant for urban sustainability projects.

Contact Us

Address

Department of Architecture and Civil Engineering
City University of Hong Kong
Tat Chee Avenue, Kowloon
Hong Kong SAR

Office

[Office Location/Room Number]

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