We are pleased to announce that Kelvin Leong, Professor of Financial Technology and Data Science at the University of Chester, has been officially elected as a NAAI Senior Research Fellow. This honor aims to recognize his pioneering research in the intersection of artificial intelligence (AI) and data science, his innovative contributions to fintech education, and his outstanding leadership as a bridge between global academia and industry.
Academic Resume: Cross disciplinary Exploration from Data Science to AI Ethics
Professor Kelvin Leong is an international authority spanning across the fields of computer science, finance, and educational technology. He holds a PhD in Computer Science and a Master's degree in E-commerce from the Hong Kong Polytechnic University, as well as a Bachelor's degree in Business Accounting (Honours) from the University of Lincoln in the UK, with a dual perspective of technology and business. As a Chartered Accountant (FCA) and fellow of IEEE and IAPR in the UK, Professor Leong's research focuses on Artificial Intelligence Language Models (LLM), data-driven decision systems, and AI ethics. His achievements have had a profound impact on both academia and industry.
Since assuming the position of Professor of Financial Technology and Data Science at the University of Chester in 2019, Professor Leong has led the development of the UK's first interdisciplinary curriculum system that integrates AI and finance. His proposed 'Dynamic Microlearning Framework' optimizes online education experience through adaptive algorithms and has been included as a demonstration case by the Quality Assurance Agency (QAA) for higher education in the UK. The AIRSim intelligent feedback system developed by its team utilizes generative AI to analyze students' learning behavior in real time, resulting in a 35% increase in course completion rate. Relevant papers have been published in the top journal "Technology, Knowledge and Learning" and are ranked in the top 1% of CiteScore mathematics worldwide.
Research Breakthrough: Reshaping the Role of AI in Finance and Education
Professor Leong's research focuses on "solving the complexity of reality" and his achievements cover three major directions:
1. Financial Applications of Generative AI: His OpenAI funded project "Bias Assessment of GPT-4 Generated Financial Reports" reveals for the first time the emotional and frequency bias patterns of language models in financial texts, providing a theoretical foundation for Wall Street investment banks to build AI audit tools.
2. Data driven social decision-making: The "Banking Data Productivity Research" in collaboration with the Central Bank of Pakistan integrated cross-border financial data through federated learning technology to develop an anti money laundering risk prediction model with an accuracy rate of 92%, winning the Best Paper Award of Cogent Business&Management.
3. Ethical practice of educational technology: The "AI education dual cycle ethical framework" proposed by its team has been adopted by the European Commission for Education, ensuring that educational AI systems improve efficiency while avoiding algorithmic discrimination. The relevant results have been published in Humanities and Social Sciences Communications (a journal under Nature), with an impact factor of 6.4.
In terms of research impact, Professor Leong's ResearchGate score surpasses 91% of AI researchers worldwide, with two papers ranking in the top 1% of the platform. The book "FinTech and Sustainable Development" edited by him has been listed as a "must read series for artificial intelligence" by Springer and included in the core FinTech textbook by Harvard Business School.
Industry academia integration: a strategic leader driving technology implementation
As a practitioner of "knowledge transfer", Professor Leong has led a total of 7 major industry university cooperation projects with a total funding of over 3 million pounds. Among them, the "Creamore Mill Intelligent Inventory System" in cooperation with the European Regional Development Fund has increased manufacturing inventory turnover by 40% through the Internet of Things and AI prediction models; The Knowledge Transfer Program (KTP) in which it participated successfully embedded AI algorithms into the UK SME credit assessment system, helping over 500 businesses obtain low interest loans.
In the field of education, his "FinTech Undergraduate Program" has been praised by the Welsh government as a "model of industry education integration", and 15% of the graduates trained have joined top global financial institutions such as JPMorgan Chase and HSBC. The "Quantum Computing Business Applications" MOOC course developed by it has attracted over 100000 learners on the Coursera platform and has been selected as one of the "Top 10 Disruptive Educational Technologies in the World" for 2024.
Academic Services: Building a Global AI Collaboration Network
Professor Leong has long been committed to promoting the construction of academic communities. He serves as a thematic advisor for MDPI, co chair of the IEEE SNPD International Conference, and as an external examiner for course accreditation in multiple universities in Cyprus, Ukraine, and other countries. In 2023, he initiated the "Southern Hemisphere AI Education Alliance" and collaborated with six universities in Nigeria and Indonesia to establish an open-source course sharing platform. The first release of the "Low Resource Environment AI Training Kit" exceeded 500000 downloads.
His academic leadership has also been recognized with multiple honors: he was awarded the "Outstanding Reviewer Award" by Emerald Publishing Group in 2020, became a Fellow of the Royal Anthropological Society (FRAI) in 2024, and has been included in the "Top 2% of Global Scientists" list for three consecutive years.
Conclusion: Anchoring humanistic values in the wave of algorithms
Professor Kelvin Leong's career is a revelation of rewriting technological narratives with data science and humanistic care - from algorithm derivation in Hong Kong laboratories to AI risk control systems in the City of London, from interactive screens in Chester classrooms to intelligent diagnostic terminals in Lagos hospitals, he has always adhered to the belief of "technology empowerment, universal access first". Professor Leong's election demonstrates the commitment of the Academy of Sciences to the concept of "technology for good". His work not only expands the technological boundaries of AI, but also builds a balance between ethics and innovation.