Academic Profile

Academic Profile

Prof Wen Yonggang

Associate Dean (Research), College of Engineering
Professor, School of Computer Science and Engineering

Prof Wen Yonggang

Yonggang Wen is an IEEE Fellow and the Professor of Computer Science & Engineering at the School of Computer Science and Engineering (SCSE) of Nanyang Technological University, Singapore. He also serves as the Associate Dean (Research) at the College of Engineering(CoE). He received his PhD degree in Electrical Engineering and Computer Science (minor in Western Literature) from Massachusetts Institute of Technology (MIT), Cambridge, USA, in 2008. Dr. Wen has published over 200 papers in top journals and prestigious conferences. His work in Multi-Screen Cloud Social TV has been featured by global media (more than 1600 news articles from over 29 countries) and received ASEAN ICT Award 2013 (Gold Medal). His work on Cloud3DView, as the only academia entry, has won the Data Centre Dynamics Awards 2015 – APAC, and 2016 ASEAN ICT Awards (Gold Medal). His research on applying AI for optimizing and automating data center operations and management (O&M), Project DCWiz, has been deployed by Alibaba to support its Cyber Sales Day in 2018 and won 2020 IEEE TCCPS Industrial Technical Excellence Award. He received 2016 Nanyang Award for Innovation and Entrepreneurship. He is a co-recipient of 2019 IEEE TCSVT Best Paper Award and 2015 IEEE Multimedia Best Paper Award, and a co-recipient of Best Paper Awards at IEEE Globecom 2016, EAI/ICST Chinacom 2015, IEEE WCSP 2014, IEEE Globecom 2013 and IEEE EUC 2012. He serves on editorial boards for multiple prestigious journals, including IEEE Wireless Communications, IEEE Communications Survey & Tutorials, IEEE Transactions on Multimedia, IEEE Transactions on Signal and Information Processing over Networks, IEEE Access Journal and Elsevier Ad Hoc Networks, and was elected as the Chair for IEEE ComSoc Multimedia Communication Technical Committee (2014-2016). His research focuses on large-scale networked computer systems with applications to artificial intelligence, big data, cloud computing, and machine learning.
Research Interests
- Cloud Computing and Green Data Centre
- Multimedia Computing and Communications
- Machine Learning Systems and Applications
Current Projects
  • A Streamlined Security Framework to Defend against Cross-Site Scripting(XSS) Attacks Targeted for new HTML5 APIs
  • Altmetrics: Exploring and Rethinking New Ways of Measuring Research Outputs
  • Altmetrics: Rethinking and Exploring New Ways of Measuring Research Outputs
  • Altmetrics: Rethinking and Exploring New Ways of Measuring Research Outputs
  • Automatic Video Tagging by Learning from Web Data
  • Cloud -Assisted Task Offloading fior Collaborative Applications in Fog Computing
  • Content Delivery As A Service (CoDaaS): A Case for Cloud-Centric Media Network
  • Cost-Optimal Mobile Computing in the Cloud
  • Development of An Integrated Decision Support System for Eco City DHCS
  • Development of An Integrated Decision Support System for Eco City DHCS
  • FogGrid: Transforming Microgrid Operations via Blockchain and Fog Computing in Singapore
  • Hey!Shake : Al-enabled Video-to-Online (V2O) Technology for an Immersive Learning Hub at NTU
  • Optimizing Quality of Experience (QoE) for Adaptive Bitrate Streaming via Deep Video Analytics
  • Outside Air Cooling in Modular Data Centre
  • Rapid Rich Object Search (ROSE) Lab
  • SCSE Innovation Lab - New Initiatives
  • Scalable P2P Power Trading in Smartgrids via Blockchain and Fog Computing
  • Secure Cyberspace Platform for Virtual Sustainable Campus with Real-time Continuum – Phase One
  • Stream Graph Analytics
  • Toward Joint IT-Thermal Optimization to Improve Energy Efficiency for High-Ambient Temperature Data Centre in the Tropics via Learning-based Algorithms
  • Toward Learning-based Thermal Comfort Models to Instill Behavioural Changes for Greener, Smarter and Healthier Buildings in the Tropics Via Pervasive Sensing
  • Towards Green Data Center as an Interruptible Load for Grid Stabilization in Singapore
  • Towards Human-Centric Building Energy Management for Smart Urban Computing via AI-based Techniques and Digital-Twin Technology
  • Towards Multi-view Human Age Estimation for Smart Nation Applications: A Deep-Learning Approach
  • Towards Risk-Aware Impact Analysis via Learning-Based Algorithms and Simulation
  • Towards a Data-Driven, Explainable Framework for AI Start-ups’ Due Diligence
  • Towards a Deep Reinforcement Learning Approach to Instil Energy-Saving Behavioural Changes for Building Occupants in the Tropical Region
  • Towards a big-data platform for social tv analytics - RG 17/14
  • Tracing Early Trading in Singapore Using Geochemical Fingerprints and Artificial Intelligence on Archaeological Artefacts
  • Voice4Baby: Wearable Computing for Early Children Development
  • iClonecast-cloud-based service engine for multi-screen applications
Selected Publications
  • Han Hu, Yonggang Wen, Tat-Seng Chua, Xuelong Li. (2014). Toward scalable systems for big data analytics: a technology tutorial. IEEE Access, 2, 652-687.
  • Wenfeng Xia, Yonggang Wen, Chuan Heng Foh, Dusit Niyato, Haiyong Xie. (2014). A Survey on Software-Defined Networking. IEEE Communications Surveys and Tutorials, .
  • Yonggang Wen, Xiaoqing Zhu, Joel JPC Rodrigues, Chang Wen Chen. (2014). Cloud mobile media: Reflections and outlook. IEEE Transactions on Multimedia, 16(4), 885-902.
  • W.W. Zhang, Y.G. Wen, K. Guan, D. Kilper, H.Y. Luo and D.P. Wu. (2013). Energy-Efficient Mobile Cloud Computing under Stochastic Wireless Channel. IEEE Transactions on Wireless Communications, , In Press.
  • J.X. Yin, P. Sun, Y.G. Wen, H.G. Gong, M. Liu, X.L. Li, H.P. You, J.Q. Gao and C. Lin. (2013). 2013 ACM SIGCOMM - Poster and Demo Session: Cloud3DView: An Interactive Tool for Cloud Data Center Operations.Hong Kong, SAR, China: ACM.

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