Hong Kong Artificial Intelligence Research Institute


Core Values

Core Value System

Starting from the real pain points of enterprises, let every AI application create measurable value

Demand driven

Reject technical accumulation, start from the real business pain points of the enterprise, and ensure that the solution accurately matches the actual scenario requirements.

Technical adaptation

Customized development of AI intelligent agents, adapted to the existing IT architecture and business processes of enterprises, achieving seamless integration and efficient implementation.

Measurable value

The core goal is to reduce costs and increase efficiency, and evaluate the application effectiveness through quantitative indicators such as efficiency improvement and cost reduction.

safety compliance

Strictly follow data security and privacy regulations, build an enterprise level security protection system, and ensure the security of core data assets.

Academic Foundation

Resource capability: academic support

PhD in Artificial Intelligence, School of Data Science, Lingnan University(DAIS)

岭南大学校园

Academic Foundation: Collaborative and diverse research capabilities

Based on the field of artificial intelligence, unite the AI research capabilities of member universities into a rope. The research institute combines an application-oriented doctoral training system and a joint laboratory for industrial applications, enabling the cutting-edge achievements of any university to quickly enter the transformation channel.

International research battlefield

A research team is composed of several senior computer experts, who have profound academic attainments and rich industrial practical experience in artificial intelligence, data science, robotics, edge computing, industrial Internet and other fields. The internet spans across Hong Kong, mainland China, and Europe, forming an international research base and providing a natural channel for diverse academic exchanges and two-way landing between the two regions.

Boya type technology leading talents with industrial orientation

With the concept of "application-oriented and industry integration", leveraging the liberal arts tradition of member universities, we inject humanistic care, ethical awareness, and strategic thinking into technical training, and cultivate liberal arts technology talents with a global AI perspective and technology empowerment thinking, promoting industry transformation and upgrading..

The intersection of interdisciplinary and AI frontiers

Member universities cover data science, engineering, design, business, and humanities, deeply coupling AI with manufacturing, energy, healthcare, and urban governance; Using research institutes as organizational carriers and industrial scenarios as practical soil, we aim to continuously generate innovative momentum from scientific research to implementation at the intersection of disciplines.

Machine Learning computational intelligence Industrial AI Smart Energy Life Sciences
Researcher

Think tank team

Gathering talents in various fields and building an innovative highland for deep integration of industry, academia and research


Introduction of Think Tank Members (Part)

Peng Zhi
Peng Zhi
Independent consulting advisor on digital transformation architecture and network risks
Bachelor of Finance from Xi'an Jiaotong University and Master of Business Administration (EMBA) from City University of Hong Kong. I have over 15 years of development experience in Hong Kong and am familiar with the financial market. I have extensive experience in corporate governance, corporate strategic management, company operations, financial management and capital operations, compliance and risk control, and technology applications. Formerly served as a director, CEO, and CFO of Hainan Airlines Technology Investment Co., Ltd. (HK2086), and CFO of Hong Kong Airlines Limited. Committed to promoting the application of AI+industry.
Cao Longjun
Cao Longjun
Co founder and promoter of industrial AI applications
PhD in Artificial Intelligence from Lingnan University in Hong Kong, PhD in Sustainable Development Management from Politecnico di Milano, Master of Business Administration (EMBA) from City University of Hong Kong and East China University of Technology, Founding President of the Intelligent Manufacturing Industry Association at East China University of Technology, ESG and Sustainable Development Researcher at Huayan Qingchuang Research Institute. With 30 years of frontline experience in manufacturing operation and management, I mainly engage in research on sustainable development, value chain management, entrepreneurship, and innovation. Focus on the integration of AI intelligent agents and digital transformation of traditional industries, and promote the implementation of industrial AI applications.
Liu Feixuan
Liu Feixuan
Technical Manager (Senior) · Head of National Mass Creation Space
Has over 10 patents in fields such as artificial intelligence and big data. Former General Manager of Baidu AIGC Business and Alibaba Advertising R&D, with experience in implementing billion level products for large companies. We have been deeply engaged in the field of Internet AI for 15 years, from the research and development of underlying algorithms to the helm of the AIGC business of the head enterprise, and fully experienced the full cycle iteration of domestic digital technology from text retrieval, commercial advertising to generative AI.
Zhang Liqiang
Zhang Liqiang
Independent consultant for digital and intelligent transformation architecture and cyber risk
Independent consulting advisor on digital transformation architecture and network risks
Director of Shanghai Overseas Economic and Technological Promotion Association
Cooperating with the Machinery Industry Press, I have successively led the writing, translation, and publication of books such as "Reading Financial Technology Security in One Book", "Proficient in API Architecture", and "Network Risk Management in the Digital Age"
IBM Enterprise AI Transformation Leadership Course Certification

Academic Background

The core consultants all hold doctoral degrees in computer science, artificial intelligence, or related fields from top universities at home and abroad, and some members have research and development experience from internationally renowned research institutions or leading technology companies.

Industry Experience

Team members have long been deeply involved in industrial projects in the fields of industrial intelligence, intelligent manufacturing, green low-carbon materials, biomedicine, etc., and have the practical ability to transform cutting-edge technologies into practical solutions.

Cross-integration

The team covers machine learning, computer vision, natural language processing, robot control, edge computing, data mining and other technical directions, forming a multidisciplinary synergy.