Data Science & System Security
We aim to build novel big-data solutions and service platforms to simplify complex systems management. We also develop new information technology that supports innovative applications, from big data analytics to the Internet of Things.
Our research is both experimental and theoretical, covering many domains in data science and systems research, such as time series mining, graph mining, deep learning, text mining, anomaly detection, signal processing, cloud computing, data centers, software-defined networking and streaming processing. The goal of our research is to fully understand the dynamics of big data from complex systems, retrieve patterns to profile them and build innovative solutions to help the end user managing those systems. We have built a number of analytic engines and system solutions to process and analyze big data and support various applications in detection, prediction and optimization. Our research has led to both award-winning NEC products and publications in top conferences.
Featured Research Projects
Big Data Analytics
Complex System Modeling and Optimization
Automated Security Intelligence