Welcome Assoc. Prof. Dan Huang invited as Technology Program Committee of RICAI 2022

Assoc. Prof. Dan Huang, Sun Yat-sen University

黄聃副教授，中山大学

黄聃，中山大学计算机学院“****”副教授。2018年8月获得美国中佛罗里达大学计算机工程专业博士学位。2015年11月至2016年8月在美国橡树岭国家实验室从事研究工作。目前在国家超级计算广州中心从事超算和大数据、人工智能融合创新发展的技术、系统和应用的研究和实现。研究成果发表在IEEE TC, IEEE TPDS, IPDPS, ICDCS, ACM ICS, ICPP等期刊和会议。

Dr. Dan Huang currently is an associate professor in School of Data Science and Computer, Sun Yat-sen University. He received Ph.D. in computer engineering at University of Central Florida. Before this, he received master and bachelor degrees in Southeast University and Jilin University respectively. His research interests are scientific data management, in-memory computing, parallel programming model, distributed storage systems, virtualization technology and the I/O of distributed system. In addition, he worked in Oak Ridge National Lab, USA(ORNL) as a researcher for about ten months. The responsibilities of this research include collaborating with ORNL’s research scientists on software-defined storage technologies and researching, developing and evaluating new storage solutions for Department of Energy applications. His researches have been published in some top-tier conferences and journals, including IEEE TC, IEEE TPDS, IEEE ICDCS, IEEE IPDPS and IEEE DAC.