Welcome to Xin's Homepage at IBM Research (Personal Homepage). I am currently a Research Scientist in the Security Services (GSAL) Team of IBM Security Research Department at IBM Thomas J. Watson Research Center . Before joining IBM, I obtained my Ph.D. in in Computer Science and Engineering at the University of Michigan, Ann Arbor in 2011, under the direction of Professor Kang G. Shin.
My research interests lie primarily in the general area of cybersecurity, with an emphasis on big
data security analytics and advanced threat detection. My research applies data mining and machine
learning techniques on large-scale network traffic and malware data for predictive analytics,
anomaly detection and risk scoring. I am also interested in understanding various security issues such as software exploits, spam, system intrusion, malware propagation, etc. The goal of my research is to discover real-world security problems, and design effective and scalable solutions to enhance the security, availability and integrity of computer systems. My previous research involves monitoring and detecting botnet; developing systems on networks and mobile devices to detect malware; and designing automatic methods for malware analysis and signature generation. I received 2nd place AT&T Award for Best Applied Security Research Paper in 2010 and was a winner of Yahoo! Key Scientific Challenges Program.