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Associate Professor

Tram Truong Huu

Programme Leader, Bachelor of Engineering with Honours in Information & Communications Technology majoring in Information Security
PhD (Computer Science), University of Nice - Sophia Antipolis, France
Cluster:
Infocomm Technology
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Biography

Dr. Tram Truong Huu (in Vietnamese: Trương Hữu Trầm) is an Associate Professor at the Singapore Institute of Technology (SIT), Infocomm Technology (ICT) Cluster. He is currently holding a joint appointment with the Agency for Science, Technology and Research (A*STAR) where he has worked as a computer scientist at the Institute for Infocomm Research (I2R) since May 2019. He received the Ph.D. degree in computer science from the University of Nice - Sophia Antipolis (now Côte d'Azur University), France in December 2010. From January 2011 to June 2012, he held a post-doctoral fellowship at the French National Center for Scientific Research (CNRS), France. He worked at the National University of Singapore as a research fellow from July 2012, then senior research fellow from January 2017. His research interests include software-defined networks, the Internet of Things, and the application of artificial intelligence to cybersecurity. He won the Best Presentation Recognition at IEEE/ACM UCC 2013. He is a member of the IEEE since 2012 and Senior Member of the IEEE since 2015.

SIT Appointments

  • Programme Leader, Bachelor of Engineering with Honours in Information & Communications Technology majoring in Information Security
    – Present

Education

  • PhD (Computer Science)
    University of Nice - Sophia Antipolis , France
  • Master (Computer Science)
    Hanoi University of Science & Technology , Vietnam

Achievements

  • Scholarship of Motorola and Vietnam Ministry of Post and Telecommunications (Ministry of Information and Communications) for the best students in computer science
  • Runner-up prize of Vietnam Ministry of Education and Training for the best students in scientific research
  • Third Prize at Vietnam National Student Olympiad in Informatics

Professional Memberships

  • Senior Member of the IEEE
    – Present
  • Member of the IEEE
    –

Corporate Experience

  • Computer Scientist at Agency for Science, Technology and Research (A*STAR)
    Present
  • Senior Research Fellow at National University of Singapore
    –
  • Research Fellow at National University of Singapore
    –
  • Post-doctoral Researcher at National Center for Scientific Research (CNRS), France
    –
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Research Interests

  • Artificial intelligence for cybersecurity

    This research direction includes the works related to application of artificial intelligence to system and network security such as malware detection, network anomaly detection and attack detection.

  • Artificial intelligence for next-generation networking

    This research direction includes the works related to application of artificial intelligence to management and traffic engineering for next-generation networking. 

Current Projects

  • Federated-Auth: Federated Authentication on Mobile Devices with Multiple Biometric Modalities
    – Present

    MoE AcRF Tier 1, Co-Principal Investigator.

  • Programmable structured synthetic data generation for privacy-preserving data sharing
    – Present

    MoE Ignition Grant, Co-Principal Investigator

  • Vulnerability Assessment and Mitigation for Future Railway Communication (5G-VARAIL)
    – Present

    MoE Ignition Grant, Principal Investigator

  • AI-assisted techniques for traffic routing and congestion control in next-gen networks (AI4XNet)
    – Present

    MoE AcRF Tier 1, Principal Investigator.

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Journal Papers

  • Y. Hou, S. G. Teo, Z. Chen, M. Wu, C.-K. Kwoh, T. Truong-Huu, "Handling Labeled Data Insufficiency: Semi-supervised Learning with Self-Training Mixup Decision Tree for Classification of Network Attacking Traffic," IEEE Transactions on Dependable and Secure Computing, July 2022.

  • P. Pratim Kundu, T. Truong-Huu, L. Chen, L. Zhou, and Sin G. Teo, "Detection and Classification of Botnet Traffic using Deep Learning with Model Explanation," IEEE Transactions on Dependable and Secure Computing, June 2022.

  • H.-L. Truong, T. Truong-Huu, T.-D. Cao, "Making Distributed Edge Machine Learning for Resource-Constrained Communities and Environments Smarter: Contexts and Challenges," Journal of Reliable Intelligent Environments, April 2022.

  • T.-D. Cao, T. Truong-Huu, H. Tran, K. Tran, "A Federated Deep Learning Framework for Privacy Preservation and Communication Efficiency," Journal of Systems Architecture, vol. 124, March 2022.

  • P. M. Mohan, T. Truong-Huu, and M. Gurusamy, "Byzantine-Resilient Controller Mapping and Remapping in Software Defined Networks," IEEE Trans. Netw. Sci. Eng., vol. 7, no. 4, pp. 2714 - 2729, Oct. 2020.

  • T. Truong-Huu, P. M. Mohan, and M. Gurusamy, "Virtual Network Embedding in Ring Optical Data Centers using Markov Chain Probability Model," IEEE Trans. Netw. Service Manag., vol. 16, no. 4, pp. 1724-1738, Dec. 2019.

  • S. M. Srinivasan, T. Truong-Huu, and M. Gurusamy, "Machine Learning-based Link Fault Identification and Localization in Complex Networks," IEEE Internet Things J., vol. 6, no. 4, pp. 6556-6566, Aug. 2019.

  • T. Truong-Huu, P. M. Mohan, and M. Gurusamy, "Service Chain Embedding for Diversified 5G Slices with Virtual Network Function Sharing," IEEE Commun. Lett., vol. 23, no. 5, pp. 826-829, May 2019.

  • S. M. Srinivasan, T. Truong-Huu, and M. Gurusamy, "Deadline-aware Scheduling and Flexible Bandwidth Allocation for Big-data Transfers," IEEE Access, vol. 6, pp. 74400-74415, Nov. 2018.

  • T. Truong-Huu, M. Gurusamy, and S. T. Girisankar, "Dynamic Flow Scheduling with Uncertain Flow Duration in Optical Data Centers," IEEE Access, vol. 5, pp. 11200-11214, June 2017.

  • V. Sridharan, M. Gurusamy, and T. Truong-Huu, "On Multiple Controller Mapping in Software Defined Networks With Resilience Constraints," IEEE Commun. Lett., vol. 21, no. 8, pp. 1763-1766, Apr. 2017.

  • P. M. Mohan, T. Truong-Huu, and M. Gurusamy, "Fault tolerance in TCAM-limited software defined networks," Computer Networks, vol. 116, pp. 47-62, Apr. 2017.

  • T. Truong-Huu, M. Gurusamy, and V. Girisagar, "Dynamic embedding of workflow requests for bandwidth efficiency in data centers," Computer Networks, vol. 108, pp. 184-198, Oct. 2016.

  • Z. Zeng, T. Truong-Huu, B. Veeravalli, and C.-K. Tham, "Operational cost-aware resource provisioning for continuous write applications in cloud-of-clouds," Cluster Computing, vol. 19, no. 2, pp. 601-614, Feb. 2016.

  • T. Truong-Huu, and C.-K. Tham, "A Novel Model for Competition and Cooperation among Cloud Providers," IEEE Trans. Cloud Comput., vol. 2, no. 3, pp. 251-265, May 2014.

  • D. H. Rogers, I. Harvey, T. Truong-Huu, K. Evans, T. Glatard, I. Kallel, I. J. Taylor, J. Montagnat, A. Jones, and A. Harrison, "Bundle and Pool Architecture for Multi-Language, Robust, Scalable Workflow Executions," J. Grid Comput., vol. 11, no. 3, pp. 457-480, Sept. 2013.

  • T. Truong-Huu, G. P. Koslovski, F. Anhalt, J. Montagnat, and P. V.-B. Primet, "Joint Elastic Cloud and Virtual Network Framework for Application Performance-cost Optimization," J. Grid Comput., vol. 9, no. 1, pp. 27-47, Jan. 2011.

Conferences

  • P.-C. Ng, K. Chen, J. SA Lee, and T. Truong-Huu, " Multi-Template Siamese Networks With Clique Contrastive Learning for Palm Print Authentication," IEEE TENCON 2024, Singapore, Dec. 2024.

  • B. Trinh-Nguyen, S. Berri, S. G. Teo, T. Truong-Huu, A. Chorti, "A Framework for Global Trust and Reputation Management in 6G Networks," 7th International Conference on Machine Learning for Networking (MNL 2024), Reims, France, Nov. 2024. 

  • W. K. Yan, R. Chan, T. Truong-Huu, "5G Core Security: An Insider Threat Vulnerability Assessment," Proc. 13th Conference on Information Technology and Its Applications (CITA), Da Nang, Vietnam, July 2024.

  • A. Abrol, P. M. Mohan,  and T. Truong-Huu, "A Deep Reinforcement Learning Approach for Adaptive Traffic Routing in Next-gen Networks," in Proc. IEEE ICC 2024, Denver, USA, June 2024.

  • A. Abrol, P. M. Mohan,  and T. Truong-Huu, "FaiRTT: An Empirical Approach for Enhanced RTT Fairness and Bottleneck Throughput in BBR," in Proc. IEEE ICC 2024 Workshops -  DDINS, Denver, USA, June 2024.

  • M.-T. Nguyen, H.-L. Truong, T. Truong-Huu, “Novel Contract-based Runtime Explainability Framework for End-to-End Ensemble Machine Learning Serving,” 3rd International Conference on AI Engineering – Software Engineering for AI, 2024.

  • Y. Hou, T. Truong-Huu, Z. Chen, C.-K. Kwoh, S. G. Teo, "PROTEUS: Domain Adaptation for Dynamic Features in AI-assisted Windows Malware Detection," In Proceedings of the 2023 IEEE ICDM Workshop on Machine Learning for Cybersecurity, Shanghai, China, December 2023. 

  • L.-Q. Yau, Y.-T. Lam, A. Lokesh, P. Gupta, J. Lim, I. S. Singh, J.-Y. Loo, M.-V. Ngo, S.-G. Teo, T. Truong-Huu, "A Novel Feature Vector for AI-assisted Windows Malware Detection," In Proceedings of the 21st IEEE International Conference on Dependable, Autonomic & Secure Computing (DASC 2023), Abu Dhabi, Nov. 2023.

  • M-. V. Ngo, T. Truong-Huu, D. Rabadi, J. Y. Loo, S.-G. Teo, "Fast and Efficient Malware Detection with Joint Static and Dynamic Features Through Transfer Learning," In Proceedings of 21st International Conference on Applied Cryptography and Network Security (ACNS 2023), Kyoto, Japan, June 2023.

  • T.-D. Cao, H.-L. Truong, T. Truong-Huu, M.-T. Nguyen, "Enabling Awareness of Quality of Training and Costs in Federated Machine Learning Marketplaces," In Proceedings of 15th IEEE/ACM International Conference on Utility and Cloud Computing (UCC2022), Portland, Oregon, USA, December 2022.

  • Y. Lan, T. Truong Huu, J. Wu, and S. G. Teo, "Cascaded Multi‑Class Network Intrusion Detection With Decision Tree and Self-attentive Model," In Proceedings of the ICDM Workshop on MLC 2022, Orlando, Florida, December 2022.

  • T.-D. Pham, T.-L. Ho, T. Truong-Huu, T.-D. Cao, and H.-L. Truong, "MAppGraph: Mobile-App Classification on Encrypted Network Traffic using Deep Graph Convolution Neural Networks," In Proceedings of the Annual Computer Security Applications Conference (ACSAC’21), December, 2021, Virtual Conference.

  • J. Liao, Sin G. Teo, P. Pratim Kundu, T. Truong-Huu, "ENAD: An Ensemble Framework for Unsupervised Network Anomaly Detection," 2021 IEEE International Conference on Cyber Security and Resilience (IEEE CSR), July 2021, Virtual Conference.

  • P. Pratim Kundu, L. Anatharaman, T. Truong-Huu, "An Empirical Evaluation of Automated Machine Learning Techniques for Malware Detection," in Proc. 7th ACM International Workshop on Security and Privacy Analytics (IWSPA 2021), co-located with ACM CODASPY 2021, April 2021, Virtual Event.

  • W. L. Tan, T. Truong-Huu, "Enhancing Robustness of Malware Detection using Synthetically-adversarial Samples," in Proc. IEEE Globecom 2020, Taipei, Taiwan, Dec. 2020.

  • S. Praveen Kadiyala, A. Kartheek, T. Truong-Huu, "Program Behavior Analysis and Clustering using Performance Counters," in Proc. 2020 DYnamic and Novel Advances in Machine Learning and Intelligent Cyber Security (DYNAMICS) Workshop - collocated with ACM ACSAC 2020, Austin, Texas, USA, Dec. 2020.

  • T. Truong-Huu, N. Dheenadhayalan, P. Pratim Kundu, V. Ramnath, J. Liao, Sin G. Teo, and S. Praveen Kadiyala, "An Empirical Study on Unsupervised Network Anomaly Detection using Generative Adversarial Networks," in Proc. 1st Security and Privacy on Artificial Intelligent Workshop (SPAI’20) - collocated with AsiaCCS 2020, Oct. 2020, Taipei, Taiwan.

  • T. Anh Tuan, T.-D. Cao, and T. Truong-Huu, "DIRAC: A Hybrid Approach to Customer Demographics Analysis for Advertising Campaigns," in Proc. 2019 6th NAFOSTED Conference on Information and Computer Science (NICS), Hanoi, Vietnam, Dec. 2019

  • T. Truong-Huu, P. Prathap, P. M. Mohan and M. Gurusamy, "Fast and Adaptive Failure Recovery using Machine Learning in Software Defined Networks," in Proc. IEEE ICC 2019 - DDINS Workshop, Shanghai, China, May. 2019.

  • A. R. Narayanadoss, T. Truong-Huu, P. M. Mohan and M. Gurusamy, "Crossfire Attack Detection using Deep Learning in Software Defined ITS Networks," in Proc. IEEE VTC2019-Spring, Kuala Lumpur, Malaysia, Apr. 2019.

  • J. G. Mohanasundaram, T. Truong-Huu, and M. Gurusamy, "Game Theoretic Switch-controller Mapping with Traffic Variations in Software Defined Networks," in IEEE Globecom 2018, Abu Dhabi, UAE, Dec. 2018.

  • S. M. Srinivasan, T. Truong-Huu, and M. Gurusamy, “TE-based Machine Learning Techniques for Link Fault Localization in Complex Networks,” in IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud-2018), Barcelona, Spain, Aug. 2018.

  • P. M. Mohan, T. Truong-Huu, and M. Gurusamy, "Towards Resilient In-band Control Path Routing with Malicious Switch Detection in SDN,” in 10th International Conference on COMmunication Systems & NETworkS (COMSNETS 2018), Jan. 2018, Bangalore, India.

  • P. M. Mohan, T. Truong-Huu, and M. Gurusamy, "Primary-Backup Controller Mapping for Byzantine Fault Tolerance in Software Defined Networks,” in IEEE Globecom 2017, Singapore, Dec. 2017.

  • V. Sridharan, M. Gurusamy, and T. Truong-Huu, “Multi-Controller Traffic Engineering in Software Defined Networks,” in IEEE LCN 2017, Singapore, Oct. 2017.

  • S. M. Srinivasan, T. Truong-Huu, and M. Gurusamy, “Flexible Bandwidth Allocation for Big Data Transfer with Deadline Constraints,” in 22nd IEEE Symposium on Computers and Communications (IEEE ISCC 2017), Crete, Greece, July 2017.

  • L. Purushothaman, T. Truong-Huu, and M. Gurusamy, “Time and Bandwidth-Aware Virtual Network Embedding and Migration in Hybrid Optical-Electrical Data Centers,” in 31st IEEE International Conference on Advanced Information Networking and Applications (IEEE AINA 2017), Taipei, Taiwan, Mar. 2017.

  • S. T. Girisankar, T. Truong-Huu, and M. Gurusamy, “SDN-based Dynamic Flow Scheduling in Optical Data Centers,” in 9th International Conference on COMmunication Systems & NETworkS (COMSNETS 2017), Bangalore, India, Jan. 2017.

  • T. Truong-Huu, and M. Gurusamy, “Markov Chain Based Algorithm for Virtual Network Embedding in Optical Data Centers,” in 18th IEEE International Conference on High Performance Computing and Communications (IEEE HPCC 2016), Sydney, Australia, Dec. 2016.

  • S. Madanantha, T. Truong-Huu, and M. Gurusamy, "Adaptive Bandwidth Allocation for Virtual Network Embedding in Optical Data Center Networks,” in IEEE LCN 2016, Dubai, UAE, Nov. 2016.

  • V. Girisagar, T. Truong-Huu, and M. Gurusamy, "Mapping Workflow Resource Requests for Bandwidth Efficiency in Data Centers,” in ICDCN 2016, Singapore, Jan. 2016. (Shortlisted for the Best Paper Award)

  • P. M. Mohan, T. Truong-Huu, and M. Gurusamy, "TCAM-aware Local Rerouting for Fast and Efficient Failure Recovery in Software Defined Networks,” in IEEE Globecom 2015, San Diego, USA, Dec. 2015.

  • T. Truong-Huu, and M. Gurusamy, “Handling Uncertainty and Diversity in Cloud Bandwidth Demands for Revenue Maximization,” in International Conference on Cloud Computing Research and Innovation (ICCCRI 2015), Singapore, Oct. 2015.

  • Z. Li, L. Wang, Y. Zhang, T. Truong-Huu, E. S. Lim, P. M. Mohan, S. Chen, S. Ren, M. Gurusamy, Z. Qin, and R. S. M. Goh, "Integrated QoS-aware Resource Provisioning for Parallel and Distributed Applications,” in 19th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2015), Chengdu, China, Oct. 2015.

  • T. Truong-Huu, C.-K. Tham, and D. Niyato, "A Stochastic Workload Distribution Approach for an Ad-Hoc Mobile Cloud," in IEEE CloudCom 2014, Singapore, Dec. 2014.

  • T. Truong-Huu, C.-K. Tham, and D. Niyato, "To Offload or to Wait: An Opportunistic Offloading Algorithm for Parallel Tasks in a Mobile Cloud," in IEEE CloudCom 2014, Singapore, Dec. 2014.

  • T. Truong-Huu, and C.-K. Tham, "A Game-theoretic Model for Dynamic Pricing and Competition Among Cloud Providers," in IEEE/ACM UCC 2013, Dresden, Germany, Dec. 2013 (Best Presentation Recognition).

  • T. Truong-Huu, and C.-K. Tham, "An Auction-based Resource Allocation Model for Green Cloud Computing," in IEEE IC2E 2013, San Francisco, USA, Mar. 2013.

  • J. Rojas Balderrama, T. Truong-Huu, and J. Montagnat, "Achieving High Stability and Performance on Production Distributed Computing Infrastructures," in 11th International Symposium on Parallel and Distributed Computing (ISPDC 2012), Munich, Germany, June 2012.

  • J. Rojas Balderrama, T. Truong-Huu, and J. Montagnat, "A Comprehensive Framework for Scientific Applications Execution on Distributed Computing Infrastructures," in EGI Technical Forum 2011, European Grid Infrastructure, Lyon, France, Sept. 2011.

  • G. Koslovski, W. Yeow, C. Westphal, T. Truong-Huu, J. Montagnat, and P. V.-B. Primet, "Reliability Support in Virtual Infrastructures," in 2nd IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2010), Indianapolis, USA, Nov. 2010.

  • T. Truong-Huu, and J. Montagnat, "Virtual resources allocation for workflow-based applications distribution on a cloud infrastructure," in 2nd International Symposium on Cloud Computing (Cloud 2010), Melbourne, Australia, May 2010.

  • G. Koslovski, T. Truong-Huu, J. Montagnat, and P. V.-B. Primet, "Executing distributed applications on virtualized infrastructures specified with the VXDL language and managed by the HIPerNET framework," in 1st International Conference on Cloud Computing (CLOUDCOMP 2009), Munich, Germany, Oct. 2009.

  • P. V.-B. Primet, V. Roca, J. Montagnat, J. Gelas, O. Mornard, L. Giraud, G. Koslovski, and T. Truong-Huu, "A Scalable Security Model for Enabling Dynamic Virtual Private Execution Infrastructures on the Internet," in IEEE/ACM CCGRID 2009, Shanghai, China, May 2009.

  • T. Truong-Huu, M. Segarra, and J. Gilliot, "Un système adaptatif de placement de données," in 6ème Conférence Française sur les Systèmes d'Exploitation (CFSE'6), Fribourg, Suisse, Feb. 2008.

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Past

  • ICT1010 - Computer Networks
  • ICT2206 - Web Security
  • ICT1005 - Mathematics and Statistics for ICT
  • CSD2160 - Computer Networks
  • CSC1010 - Computer Networks
  • ICT3x03 - Secured Software Development
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