STRUCTURE

INFORMATION HUB

Artificial
Intelligence

Artificial Intelligence

Computational
Media and Arts

Artificial Intelligence

Data Science and
Analytics

Artificial Intelligence

Internet
of Things

Artificial Intelligence
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Artificial Intelligence

ARTIFICIAL INTELLIGENCE

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AI Thrust rides on the strong research background at HKUST and is committed to basic and applied research in artificial intelligence. We aim to nurture high-level research and application talents with strong professional skills, interdisciplinary capabilities and international perspectives. Our team of highly qualified faculty members actively promotes interdisciplinary research, and strives to build an AI research ecosystem that is Greater Bay Area based, internationally oriented, and HKUST branded. We envisage here a talent incubator, an innovative center, a dream hatchery, and a future enlightener.

Cross-disciplinary Focus Areas
AI in Design AI in Finance AI in Manufacturing AI in Business AI in Security and Privacy AI in Smart Living AI in Smart Cities AI in Transportation AI in Talent Intelligence
Computational Media and Arts

COMPUTATIONAL MEDIA AND ARTS

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This thrust area focuses on art creation and visual communication with new technologies, with emphasis on art with augmented reality (AR) and virtual reality (VR), AI-generated art, information art and design, and data visualization. It also promotes the interplay of art and technology and exploits the most advanced technology for art creation and visual communication with a social impact.

Cross-disciplinary Focus Areas
AI/AR/VR/XR/Robotic art Data visualization and storytelling Human-computer interaction Game development and design Computer animation Virtual production
DATA SCIENCE AND ANALYTICS

DATA SCIENCE AND ANALYTICS

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It advances data science and analytics by unifying statistics, machine learning, optimization, and their related techniques. It also expands the applications of data science and analytics to solve real-world problems and benefit society.

Cross-disciplinary Focus Areas
Data-driven AI & Machine Learning Statistical Learning and Modeling Industrial and Business Analytics (Operations-Related Data Analytics, Business Intelligence, and Strategy, etc.) Sector-Specific Data Analytics (Healthcare, Finance, Insurance, Marketing, Manufacturing, Transportation, etc.) Data visualization and Infographics AI-driven Data Analytics High-Performance Systems for Data Analytics
INTERNET OF THINGS

INTERNET OF THINGS

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This thrust adopts an interdisciplinary approach to equip students with comprehensive knowledge to pursue technological innovation, and to explore new research frontiers in forming Internet of Things (IoT)-enabled digital societies.

Cross-disciplinary Focus Areas
Optimization, artificial intelligence and machine learning in IoT Networking, communications, and signal processing Security and privacy-enhancing technologies Sensing and embedded systems Distributed computing and caching Ubiquitous computing
admission
2024 / 2025

ADMISSION

“Extending on HKUST’s advocacy of a diverse, inclusive, and collaborative community, HKUST(GZ) welcomes the best global talents to shine within our Hub structure and join forces to facilitate cross-disciplinary education, research, and knowledge transfer. The Information Hub opens its door to all candidates who are enthusiastic and have the ability to pursue high-impact research in AI, DSA, IoT, and CMA.”

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2024 / 2025

CAREER

Faculty Recruitment
Staff Recruitment

The Information Hub at HKUST(GZ) welcomes talents with much-needed expertise around the world to join forces to address increasing challenges arising from human interactions with information and technology today. We are committed to providing an inclusive, inspiring, and resourceful environment for our staff to develop their career, further the University’ research excellence, as well as making social impact.

Go to application

The Information Hub at HKUST(GZ) welcomes talents with much-needed expertise around the world to join forces to address increasing challenges arising from human interactions with information and technology today. We are committed to providing an inclusive, inspiring, and resourceful environment for our staff to develop their career, further the University’ research excellence, as well as making social impact.

Go to application
career
career

FACULTY STRENGTH

Information hub has spared no effort to build a strong faculty of interdisciplinary and diverse backgrounds.

6

CHAIR PROFESSOR

9

PROFESSOR

8

ASSOCIATE PROFESSOR

34

ASSISTANT PROFESSOR

3

LECTURER

22

ADJUNCT FACULTY/ PROFESSOR OF PRACTICE

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