Dr. Fanjing Meng is a Research Staff Member at IBM Research – China. She has over 15 years research experience in various areas including Computer Integrated Manufacturing System (CIMS), Software/Solution Engineering, Project Portfolio Management and Optimization (PPMO), Cloud Migration, IT Operations Analytics (ITOA). Her current research areas mainly focus on applying advanced analytics techniques (e.g. statistics, machine learning, deep learning) into large-scale system operational data – machine-generated data (e.g. metrics, logs, and events) and service management data (e.g. configurations, tickets, change requests) in order to proactive anomaly detection and root cause analysis. She is serving in program committees of IEEE ICWS and IEEE CLOUD and a reviewer of international journals. She has published over 20 papers and received the “Best Paper Award” from IEEE CLOUD 2013. She has over 20 patents and patent applications in various innovation areas. She joined IBM Research-China after she got her Ph.D. degree from Beihang University.