"Determination + Discipline + Hard Work = Way to Success" --- Jaime Escalante

    Autonomic Computing to achieve self_* is my current research interest. It brings Computer Science, System Engineering, Applied Mathematics and Business Management together to address fundamental IT Services problems we are facing today. My goal of research is to inject intelligence to the network flow monitoring, performance measuring and security. I have applied various math tools such as Fuzzy Logic Control, Relevance Vector Machine to model scenarios in IT Services. I have also proposed a Proactive Probing algorithm to monitor the health of a serviceable component system proactively and a Probing on Demand algorithm to localize faulty components intelligently; this is an integral part of self_* in services intelligent management. The latest paper is about adaptive network flow clustering in addition to 26 journal and conference papers.
    My past research experience includes Soliton Dynamic System, Compiled Parallel Computing, Neuronal Network Modeling and J2EE Application.
    Research Cooperation is part of my research activities. I worked as visiting professor at CAIP, Rutgers University, in the summer of 2004. I also worked with professionals from Business Management to do mathematical analysis of network effects on digital products.
    With a solid mathematical foundation, strong industrial working background and hard working but social personality, I am able to adapt to any new