2025/26研资局高级研究学者计划得奖者 数据科学及人工智能学系
陈家进教授
数据科学及人工智能学系
香港理工大学
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
赞词
陈家进教授现任香港理工大学数据科学及人工智能学系主任兼计算智能讲座教授，为IEEE Fellow，是人工智能、演化计算与机器学习领域的世界知名专家 。2024年获评为科睿唯安「高被引学者」，并荣获2026年IEEE计算智能学会「演化计算先驱奖」，彰显其全球影响力；已发表四百余篇学术论文，谷歌学术引用逾3.5万次。
他以「面向医学图像分析的自适应预训练视觉─语言基础模型研究」获研究资助局「高级研究学者计划」资助。项目旨在把大型 AI 通才模型转化为高精度医学影像专才模型，构建综合智能医疗系统，提供个人化、以人为本的服务。并实现视觉问答、放射学报告自动生成及电脑辅助诊断等功能。项目将研发稳健且可扩展的框架、数据高效与隐私保护方法，以及实用、可解释、具广泛迁移性的临床应用。
此项荣誉肯定了陈教授的卓越领导能力与贡献。其研究有望提升医疗服务的质量与效率，缓解医疗资源的沉重负担，并巩固香港在AI赋能医疗创新方面的领导地位。透过推进可信赖AI的应用，这项研究将最终改变病患的照护模式，并对复杂疾病的诊断与管理产生深远的影响。
得奖者短片
