網絡空間科技學院 | 教學人員

馬志雄教授 

PhD (The Hong Kong Polytechnic University)
助理教授 

英國電腦協會特許資訊科技專業人士 
英國電腦協會會員
香港電腦協會會員 

教學領域:人工智與數據科學 
簡歷

馬志雄教授在人工智能與數據科學領域擁有多年學術與產業經驗。他現任港專網絡空間科技學院AI課程主任及AI創新中心總監。同時馬教授擁有豐富的產業高管經驗,曾擔任首席技術官、技術總監及初創企業聯合創辦人及行政總裁 

馬教授畢業於香港理工大學,持有電腦科學哲學博士學位。其學術生涯包括在香港理工大學擔任客座助理教授及講師、在香港城市大學擔任課程模組負責人,以及在香港大學擔任計算生物學家。他已在頂尖國際期刊及會議發表超過30篇研究論文,擁有四項發明專利,並帶領團隊獲得日內瓦國際發明展金獎等多項殊榮。他曾教授本科及碩士級別的人工智能與數據科學課程,指導FYP及碩士論文項目,並培育眾多學生。 

在產業界,馬教授推動多個前沿AI技術的商業化,項目橫跨多個行業及國家。他領導開發多功能邊緣AI芯片、邊雲協同訓練與推理引擎、即時視訊處理系統、數字孿生平台、以及面向製造和零售業的大數據分析與預測平台。這些創新不僅為企業帶來顯著的效率與效能提升,更成功獲得風險投資資金支持。 

研究領域

人工智與數據科學 

發表的部分文章
期刊論文

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. 

會議論文

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. 

書籍

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.