研資局高級研究學者計劃 | 教資會及研資局獎項

Biography
(只提供英文版)

Chair Professor of Computational Intelligence in Department of Data Science and Artificial Intelligence at The Hong Kong Polytechnic University
Research focuses on data science and artificial intelligence, particularly in the areas of machine learning, evolutionary computation, and big data analytics
SRFS project — aims to develop an integrated intelligent healthcare system that adapts generalist AI models into specialist medical imaging models. The system will enable visual question answering, automated radiology report generation, and computer-aided diagnosis. This research will enhance healthcare quality, ease resource pressures, and strengthen Hong Kong’s leadership in AI-driven healthcare innovation.
Awards and Honours:
- RGC Senior Research Fellow (2025)
- IEEE CIS Evolutionary Computation Pioneer Award (2026)
- IEEE Computational Intelligence Magazine Outstanding Paper Award (2024)
- IEEE Transactions on Cybernetics Outstanding Paper Award (2020)
- IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award (2016)

Project Title
(只提供英文版)

Towards Adaptive Pretrained Vision-Language Foundation Models for Medical Image Analysis

讚詞

陳家進教授現任香港理工大學數據科學及人工智能學系主任兼計算智能講座教授，為IEEE Fellow，是人工智能、演化計算與機器學習領域的世界知名專家。2024年獲評為科睿唯安「高被引學者」，並榮獲2026年IEEE計算智能學會「演化計算先驅獎」，彰顯其全球影響力；已發表四百餘篇學術論文，谷歌學術引用逾3.5萬次。

他以「面向醫學圖像分析的自適應預訓練視覺─語言基礎模型研究」獲研究資助局「高級研究學者計劃」資助。項目旨在把大型 AI 通才模型轉化為高精度醫學影像專才模型，構建綜合智能醫療系統，提供個人化、以人為本的服務。並實現視覺問答、放射學報告自動生成及電腦輔助診斷等功能。項目將研發穩健且可擴展的框架、數據高效與隱私保護方法，以及實用、可解釋、具廣泛遷移性的臨床應用。

此項榮譽肯定了陳教授的卓越領導能力與貢獻。其研究有望提升醫療服務的品質與效率，緩解醫療資源的沉重負擔，並鞏固香港在AI賦能醫療創新方面的領導地位。透過推進可信賴AI的應用，這項研究將最終改變病患的照護模式，並對複雜疾病的診斷與管理產生深遠的影響。