Dr. Haocong Rao received his PhD degree with AI Singapore (AISG) Research PhD Award at Nanyang Technological University (NTU). Prior to that, he obtained his B.E. degree from South China University of Technology, China. Dr. Rao's research interests include Human Skeleton Based Pattern Recognition, Resource-Efficient AI for Healthcare Applications, Self-Supervised/Unsupervised learning. The team he collaborated is one of the first teams to explore deep learning based skeleton-based person re-ID research since 2020, with a focus on developing more efficient, safer (e.g., privacy-preserving), and robust human skeleton based models tailored for resource-constraint applications in security, healthcare, and embodied AI. His works have been published in prestigious journals and conferences such as IEEE TPAMI, IJCV, IEEE TMM, IEEE IoTJ, CVPR, AAAI, IJCAI, ACM MM, EMNLP, etc. His representative work has been selected as TPAMI Featured Cover and recognized as ESI Highly Cited Paper. He is a program committee (PC) member of IJCAI, AAAI and international workshops such as AAAI AIAA, IJCAI AIAA, IJCAI AIF. He also serves as a reviewer for Nature Communications, IJCV, IEEE TPAMI/TIP/TAC/TMM/JBHI, ICLR, etc. He received the Best Paper Award of IEEE HeathCom 2020, Best Paper Runner-Up Award of IEEE CloudCom 2025, President Scholarship of SIAT, National Scholarship of China, Outstanding Thesis Award of SCUT, and was recognized as Distinguished PC member and Outstanding Reviewer of IJCAI.