Xiaokui Shu is a Research Staff Member in the Cognitive Cybersecurity Intelligence Group at the IBM T. J. Watson Research Center. Researching in system and network security, Dr. Shu is interested in studying advanced attack vectors, designing proactive countermeasures, discovering new security methodologies, and shaping the landscape of cybersecurity for the future. Dr. Shu received his Ph.D. degree in computer science at Virginia Tech with Outstanding Ph.D. Student Award and obtained his bachelor degree from University of Science and Technology of China (USTC) with Guo Moruo Scholarship. He succeeded at his first penetration test at USTC and won the first prize in Virginia Tech Inaugural Cyber Security Summit Competition.
Dr. Shu led the design and development of Threat Intelligence Computing, a novel security paradigm to facilitate creative threat discovery and intelligence creation/consumption. In his recent blog Threat Intelligence Computing for Efficient Cyber Threat Hunting, Dr. Shu explained the cyber challenge of speed and agility faced by modern enterprises and shedded light on the new security paradigm with graph computation and agile development. His paper Threat Intelligence Computing with elaborated design and comprehensive evaluation was accepted at ACM CCS'18 and highlighted in the ACM press release: Leading Cybersecurity Conference Plans Blockbuster Program for 25th Anniversary.