Dr Thuan Yew Edward Chuah

Biography

Dr. Edward Chuah is a Lecturer (equivalent to Assistant Professor in the US) in the Computing Science Department, University of Aberdeen.  He received his PhD in Computer Science at the University of Warwick.  He worked in Singapore as a research engineer (8 years), software engineer (1.5 years) and lecturer (2 years).  His current research focus is in network security, where he is developing data-driven approaches to identify, detect and predict threats in large networks.  He is also developing data-driven approaches to diagnose failures and predict faults in large cluster systems.

Research topics: Large-scale systems dependability, Network security (attacks identification, detection and prediction), HPC reliability (failure diagnosis, failure prediction, error propagation and error detection), Data analysis.

Prospective research students:  If you are interested in studying for a PhD in one of the aforementioned research topics, email your CV, academic transcripts and proposal to edward.chuah@abdn.ac.uk for an informal discussion.

Service to the community:

2025: TPC member for the 23rd IEEE International Symposium on Network Computing and Applications (NCA, Lisbon, Portugal), track chair for the 15th International Conference on Communications and Network Security (ICCNS, Jilin, China), reviewer for IEEE Transactions on Network and Service Management (IEEE TNSM) and Computer Networks (Elsevier).

2018 - 2024: Reviewer for Expert Systems with Applications, IEEE Transactions on Big Data, ACM Computing Surveys, Software: Practice and Experience, IEEE Access, and Latin American Journal of Computing.

External Memberships

Early Career Research Committee Member, Supergen Energy Networks (SEN) Hub, July 2025 - Present.

Prizes and Awards

• J. Tinsley Oden Faculty Fellowship, The Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, USA. September 2011.  The Fellowship was to collaborate with the late Prof. Emeritus James C. Browne on research in HPC health monitoring and fault management.
• The Alan Turing Institute Doctoral Studentship, UK. September 2016 to March 2020. Link

Research Overview

Research interests:

My main research interest is in large-scale systems dependability.  My initial research interest was focused on reliability [3-5], one of the attributes of dependability.  Currently, my focus is on the security aspect of dependability, where I am investigating security in large networks [1-2].  I also have a general interest in deep learning, data analysis, risk assessment and threat modelling.

My expertise is in system failure diagnostics and system logs analysis.  I am the developer of FDiag, a system log-based failure diagnostics toolkit [5].  FDiag have been used by HPC systems administrators at the Texas Advanced Computing Center to uncover previously unknown causes of compute node soft lockups.  I have also developed: (a) ANCOR, a novel anomaly-correlation approach that linked system resource usage anomalies with system failures [4], and (b) CORRMEXT, a new workflow that identified patterns of error propagation on large supercomputer systems [2].  FDiag and CORRMEXT are available on GitHub.

System log-based diagnostics tools

Selected publications:

1. E. Chuah, A. Jhumka & A. Ayesh, Deep Learning-based Prediction of Reflection Attacks Using NetFlow Data, Computers & Security, May 2025.
2. E. Chuah, N. Suri, A. Jhumka & S. Alt, Challenges in Identifying Network Attacks Using NetFlow Data, in Proceedings of IEEE International Symposium on Network Computing and Applications (NCA), 2021.
3. E. Chuah, A. Jhumka, S. Alt, D.B.-Thomert, J.C. Browne & M. Parashar, Towards Comprehensive Dependability-Driven Resource Use and Message Log-Analysis for Cluster Systems Diagnosis, Journal of Parallel and Distributed Computing, 2019.
4. E. Chuah, A. Jhumka, S. Narasimhamurthy, J. Hammond, J.C. Browne & B. Barth, Linking Resource Usage Anomalies with System Failures from Cluster Log Data, in Proceedings of IEEE International Symposium on Reliable Distributed Systems (SRDS), 2013.
5. E. Chuah, S. Kuo, P. Hiew, W.C. Tjhi, G. Lee, J. Hammond, M.T. Michalewicz, T. Hung & J.C. Browne, Diagnosing the Root-Causes of Failures from Cluster Log-Files, in Proceedings of IEEE International Conference on High-Performance Computing (HiPC), 2010.

Funding and Grants

PI, An AI-based Approach for Detecting Advanced Persistent Threats (APT) in Large Networks, EPSRC SPRITE+ Academic-Industry-Meeting secondment grant, 2024 to 2025, £10k.

Teaching Responsibilities

I taught various courses ranging from Learning from Data to Software Engineering and Algorithm Analysis to undergraduate and postgraduate students.