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Chan Mun Choon

I graduated with a BS in Computer and Electrical Engineering from Purdue University and Ph.D. from Columbia University. I was a Member of Technical Staff in the Networking Research Laboratory, Bell Labs, Lucent Technologies before joining NUS. I am currently a Professor in the Department of Compuer Science, School of Computing.


  • School of Computing, National University of Singapore
  • Office: COM3 #02-15
  • Tel: +65 6516 7372
  • Email: chanmc AT comp dot nus dot edu dot sg

Job/Research Opportunities

I am looking to offer research projects in the areas related to programming networks (DPTP, DySo, SynDB, FCM) and 5G network (FSA, SLIC, PR3)

Current Projects

Programmable Network

Research advances in Software Defined Networking (SDN) have enabled new paradigms and architectures through providing programmable capabilities to both the control and data plane. I am particularly interested in understanding how these capabilities enable new monitoring frameworks, control paradigms, virtualization strategies and speedup of large scale distributed computations.

Related Papers

Low Power, Energy Efficient Edge Computing

With mobile devices becoming ubiquitous, collaborative applications have become increasingly pervasive. We look into various approaches in which these devices can leverage the available sensing, computation and communication capabilities to design collaborative applications. In particular, we are looking at how high-fidelity context awareness can be achieved with low-cost sensing and communication on resource-constrained devices and possibly with collaboration among many different devices.

Related Papers

5G Network

5G is expected to support a wide variety of users with very diverse requirements. We are looking at how a combination of Software Defined Networking (SDN), Network Virtualization (NV) and cloud computing can be used to meet the requirements of scaling, flexibility and isolation.

Related Papers

Network Anaomly Detection

This research project focuses on exploiting the availability of enormous amount of customers and traffic data that are generated by telcos. These techniques include analysis of traffic/customer/application data to detect anomalies.

Related Papers