Dr. Can GAO received the Ph.D. degree from Tongji University, Shanghai, China, in 2013. From 2010 to 2011, he was a Visiting Scholar with the University of Alberta, Edmonton, AB, Canada. From 2015 to 2018, he was a Research Associate, a Post-Doctoral Fellow, and a Research Fellow with The Hong Kong Polytechnic University, Hong Kong. He is currently a Tenured Associate Professor, Distinguished Research Fellow, and Doctoral/Master's Supervisor with the College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China. He has authored or co-authored over 80 papers in top-tier international journals/conferences, including TKDE, TNNLS, TCYB, AAAI, IJCAI, and ACM MM. He holds 7 granted National patents and has been granted over 10 research fundings,  including the National Natural Science Foundation of China (NSFC) Youth Fund,  the NSFC General Program, the sub-project of the Ministry of Science and Technology's Key R&D Program, the Guangdong Provincial Natural Science Foundation, and municipal/university-level projects. His patented industrialization project on textile anomaly detection garnered significant media attention from outlets like Hong Kong's TVB and major global textile industry media. The project was awarded four awards at the 2019 Geneva International Exhibition of Inventions, including the Jury Gold Award, a Special Excellence Award, the Special Grand Prize from the Italian Delegation, and the Grand Prize from the Technical University of Cluj-Napoca, Romania.  His interests include machine learning, computer vision, multimodal anomaly detection, medical anomaly detection, and medical large language models.