网络空间科技学院 | 教学人员

马志雄教授 

PhD (The Hong Kong Polytechnic University)
助理教授 

英国电脑协会特许资讯科技专业人士 
英国电脑协会会员
香港电脑协会会员 

教学领域:人工智与数据科学 
简历

马志雄教授在人工智能与数据科学领域拥有多年学术与产业经验。他现任港专网络空间科技学院AI课程主任及AI创新中心总监。同时马教授拥有丰富的产业高管经验,曾担任首席技术官、技术总监及初创企业联合创办人及行政总裁 

马教授毕业于香港理工大学,持有电脑科学哲学博士学位。其学术生涯包括在香港理工大学担任客座助理教授及讲师、在香港城市大学担任课程模组负责人,以及在香港大学担任计算生物学家。他已在顶尖国际期刊及会议发表超过30篇研究论文,拥有四项发明专利,并带领团队获得日内瓦国际发明展金奖等多项殊荣。他曾教授本科及硕士级别的人工智能与数据科学课程,指导FYP及硕士论文项目,并培育众多学生。 

在产业界,马教授推动多个前沿AI技术的商业化,项目横跨多个行业及国家。他领导开发多功能边缘AI芯片、边云协同训练与推理引擎、即时视讯处理系统、数字孪生平台、以及面向制造和零售业的大数据分析与预测平台。这些创新不仅为企业带来显著的效率与效能提升,更成功获得风险投资资金支持。 

研究领域

人工智与数据科学 

发表的部分文章
期刊论文

Lau, S.M., Luan, J., Cheung, L., Ma, C.H., & Lee, H. (2025). A novel method of emotion classification and reconstruction using VGGNet and StarGAN. Frontiers in Artificial Intelligence and Applications, 412, 399 – 415. 

Wang, Y., Cheung, L., Ma, C.H., Lee, H., & Lau, S.M. (2025). An emotional AI chatbot using an ontology and a novel audiovisual emotion transformer for improving nonverbal communication. Electronics, 14(21), 4304. 

Lau, S. M., Wu, J., Ma, C.H., & Lee, H. (2025). Using artificial intelligence, ontology, and 3D visualization in the metaverse for improving collaborative work and collective intelligence. The International Journal of Entrepreneurship and Innovation, 26(1), 66 – 84. 

Ma, C. H., & Chan, C. C. (2011). Incremental fuzzy mining of gene expression data for gene function prediction. IEEE Transactions on Biomedical Engineering, 58(5), 1246–1252. 

Ma, C. H., & Chan, C. C. (2010). Discovering interesting motif-sets for multi-class protein sequence classification. Journal of Computational Biology, 17(5), 733–743. 

Ma, C. H., & Chan, C. C. (2009). An iterative data mining approach for mining overlapping co-expression patterns in noisy gene expression data. IEEE Transactions on NanoBioscience, 8(3), 252–258. 

Ma, C. H., & Chan, C. C. (2009). A novel approach for discovering overlapping clusters in gene expression data. IEEE Transactions on Biomedical Engineering, 56(7), 1803–1809. 

Ma, C. H., & Chan, C. C. (2008). Inference of gene regulatory networks from expression data by discovering fuzzy dependency relationships. IEEE Transactions on Fuzzy Systems, 16(2), 455–465. 

Ma, C. H., & Chan, C. C. (2008). UPSEC: an algorithm for classifying unaligned protein sequences into functional families. Journal of Computational Biology, 15(4), 431–443. 

Ma, C. H., & Chan, C. C. (2007). An effective data mining technique for reconstructing gene regulatory networks from time series expression data. Journal of Bioinformatics and Computational Biology, 5(3), 651–668. 

Ma, C. H., Chan, C. C., Yao, X., & Chiu, K. Y. (2006). An evolutionary clustering algorithm for gene expression microarray data analysis. IEEE Transactions on Evolutionary Computation, 10(3), 296–314. 

Ma, C. H., Chan, C. C., & Chiu, K. Y. (2005). Clustering and re-clustering for pattern discovery in gene expression data. Journal of Bioinformatics and Computational Biology, 3(2), 281–301. 

会议论文

Ma, C. H., & Chan, C. C. (2008, November). Mining fuzzy association patterns in gene expression data for gene function prediction. In 2008 IEEE International Conference on Bioinformatics and Biomedicine, Philadelphia, USA. 

Ma, C. H., Chan, C. C., & Yao, X. (2008, June). An effective evolutionary algorithm for discrete-valued data clustering. In 2008 IEEE Congress on Evolutionary Computation, Hong Kong, China. 

Ma, C. H., & Chan, C. C. (2008, May). An effective data mining technique for the multi-class protein sequence classification. In Proceedings of the 2nd IEEE International Conference on Bioinformatics and Biomedical Engineering, Shanghai, China. 

Ma, C. H., & Chan, C. C. (2008, March). Mining gene expression patterns for the discovery of overlapping clusters. In Proceedings of the 6th European Conference on Evolutionary Computation, Shanghai, China. 

Ma, C. H., & Chan, C. C. (2008, January). An effective hybrid algorithm for gene expression data clustering. In Proceedings of the 6th Asia Pacific Bioinformatics Conference, Kyoto, Japan. 

Ma, C. H., & Chan, C. C. (2007, July). A clustering algorithm for discovering overlapping clusters in gene expression data. In Proceedings of the 3rd International Conference on Computational Intelligence, Banff, Canada. 

Ma, C. H., & Chan, C. C. (2006, December). Inference of gene regulatory networks from time series expression data: a data mining approach. In 2006 IEEE International Conference on Data Mining, Hong Kong, China. 

Ma, C. H., & Chan, C. C. (2006, September). A fuzzy data mining technique for the reconstruction of gene regulatory networks from time series expression data. In 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, Toronto, Canada. 

Ma, C. H., & Chan, C. C. (2006, September). An effective data mining technique for classifying protein sequences into functional families. In IEEE CIT06 - Bioinformatics, Seoul, Korea. 

Ma, C. H., & Chan, C. C. (2006, April). A novel data mining algorithm for reconstructing gene regulatory networks from microarray data. In ACM SAC06 - Bioinformatics, Dijon, France. 

Ma, C. H., & Chan, C. C. (2006, February). Inference of gene regulatory networks from microarray data: a fuzzy logic approach. In 4th Asia Pacific Bioinformatics Conference, Taiwan, China. 

Ma, C. H., & Chan, C. C. (2003, November). Discovering clusters in gene expression data using evolutionary approach. In Proceedings of the IEEE ICTAI03, California, USA. 

Ma, C. H., Chan, C. C., & Chiu, K. Y. (2003, September). Discovering clusters in gene expression data. In Proceedings of the 7th Joint Conference on Information Sciences, North Carolina, USA. 

Ma, C. H., & Chan, C. C. (2003, July). Clustering gene expression data with hybrid GA approach. In Proceedings of ASC03, Banff, Canada. 

书籍

Ma, C. H., Chan, C. C., Yao, X, & Chiu, K.Y. (2008). Finding clusters in gene expression data using EvoCluster. In G.B. Fogel (Ed.), Computational Intelligence in Bioinformatics (pp. 41-66), IEEE Press and John Wiley & Sons, Inc. 

Ma, C. H., Chan, C. C., Yao, X, & Chiu, K.Y. (2008). Mining gene expression patterns for the discovery of overlapping clusters. In E. Marchiori and J.H. Moore (Ed.), Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics (pp. 117–128), Springer Lecture Notes in Computer Science. 

Ma, C. H., & Chan, C. C. (2008). An effective hybrid algorithm for gene expression data clustering. Series on Advances in Bioinformatics and Computational Biology (vol. 6), Imperial College Press. 

Ma, C. H., & Chan, C. C. (2006). Inference of gene regulatory networks from microarray data: A fuzzy logic approach. Advances in Bioinformatics and Computational Biology (vol. 3), Imperial College Press. 

Ma, C. H., & Chan, C. C. (2003). Clustering gene expression data with hybrid GA approach. Artificial Intelligence and Soft Computing, ACTA Press.