Singapore Institute of Technology
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Tram Truong Huu

Associate Professor (Information and computing sciences)

Singapore

Dr. Tram Truong-Huu is an Associate Professor at the Singapore Institute of Technology (SIT), Infocomm Technology (ICT) Cluster. He is currently holding a joint appointment with A*STAR where he has worked as a senior 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 has been a member of the IEEE since 2012 and Senior Member of the IEEE since 2015.

Publications

  • Joint Elastic Cloud and Virtual Network Framework for Application Performance-cost Optimization
  • Operational Cost-aware Resource Provisioning for Continuous Write Applications in Cloud-of-Clouds
  • Bundle and Pool Architecture for Multi-Language, Robust, Scalable Workflow Executions
  • Dynamic Embedding of Workflow Requests for Bandwidth Efficiency in Data Centers
  • Virtual Network Embedding in Ring Optical Data Centers Using Markov Chain Probability Model
  • Deadline-Aware Scheduling and Flexible Bandwidth Allocation for Big-Data Transfers
  • Machine Learning-Based Link Fault Identification and Localization in Complex Networks
  • Service Chain Embedding for Diversified 5G Slices With Virtual Network Function Sharing
  • A Novel Model for Competition and Cooperation among Cloud Providers
  • SHIWA workflow interoperability solutions for neuroimaging data analysis.
  • Adaptive Bandwidth Allocation for Virtual Network Embedding in Optical Data Center Networks
  • Integrated QoS-aware resource provisioning for parallel and distributed applications
  • Time and bandwidth-aware virtual network embedding and migration in hybrid optical-electrical data centers
  • A stochastic workload distribution approach for an Ad Hoc mobile cloud
  • Markov chain based algorithm for virtual network embedding in optical data centers
  • Handling uncertainty and diversity in cloud bandwidth demands for revenue maximization
  • Mapping workflow resource requests for bandwidth efficiency in data centers
  • To offload or to wait: An opportunistic offloading algorithm for parallel tasks in a mobile cloud
  • Fault tolerance in TCAM-limited software defined networks
  • A game-theoretic model for dynamic pricing and competition among cloud providers
  • TCAM-aware local rerouting for fast and efficient failure recovery in software defined networks
  • Byzantine-Resilient Controller Mapping and Remapping in Software Defined Networks
  • A federated deep learning framework for privacy preservation and communication efficiency
  • Handling Labeled Data Insufficiency: Semi-supervised Learning with Self-Training Mixup Decision Tree for Classification of Network Attacking Traffic
  • Novel Contract-based Runtime Explainability Framework for End-to-End Ensemble Machine Learning Serving
  • 5G Core Security: An Insider Threat Vulnerability Assessment

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