Hung X. Nguyen , PhD student at  EPFL

Laboratory for Computer Communications and Applications (LCA)
Institute of Communication Systems (ISC)
School of Computer and Communication Sciences (IC)

Address: BC 248, Station 14, EPFL CH-1015 Lausanne, Switzerland
E-mail:  Hung.Nguyen(AT)
Phone:    +41 21 693 6468
Fax:        +41 21 693 6610

Short Biography    Research    Publications   Teaching  

Short Biography

I received the B.Eng. degree in Information Technology and Telecommunications Engineering from the University of Adelaide, Australia in 2001 and completed the Pre-Doctoral school in communication systems at the Swiss Federal Institute of Technology, Lausanne (EPFL) in June, 2002. I have been a research assistant since October 2002 and a PhD student since March 2004 at the Laboratory for Computer Communication and Applications (LCA), EPFL. My advisor is Professor Patrick Thiran.

CV (pdf)


I am interested in both the theory and system aspects of computer networking. During my PhD study, I work mainly with Internet tomography and failure diagnosis. One of the weak points of today's Internet is the lack of built-in tools to identify and correct performance anomalies such as routing failures, excessive delays or losses. Calculating link performances at a particular time using end-to-end measurements is called network performance diagnosis ; whereas inferring parameters of the statistical models governing these performances is called network performance tomography. Both network diagnosis and tomography are notoriously difficult because regular unicast data do not provide enough information to allow the identification of the link performances. More specifically, the system of equations relating end-to-end performances with link performances is under-determined and hence has infinitely many solutions.

I study three fundamental questions of Internet tomography and diagnosis using regular unicast probes. First, what is the optimal end-to-end probing strategy for network diagnosis and tomography? Second, how do we overcome the under-determined problem of network diagnosis to accurately troubleshoot performance issues? Third, which statistical properties of network links can be inferred from end-to-end measurements?

Our main methods exploit the spatial and temporal distribution of packet losses on the Internet. Namely, most links on the Internet have negligible loss rates and that links with high loss rates usually also suffer high loss rate variances. Details on theoretical findings and their implementations can be found under the following link.

I also work on randomized algorithms for overlay routing. We analyze the performance of the famous two random choices method on load balancing overlay networks. We show that the simple two random choices algorithm does not work on many realistic settings and propose modifications to this algorithm that provides guaranteed performance on practical overlays. Latest results can be found under the following link.


Invited papers My complete list of publications in EPFL infoscience.