Academic Profile : Faculty
Prof Wen Yonggang
Associate Provost (Graduate Education) and Dean, Graduate College
Alibaba-NTU President's Chair in Computer Science and Engineering
Professor, College of Computing & Data Science
Director for NTU Center in Computational Technologies for Finance (CCTF), College of Engineering
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Yonggang Wen is a Professor and President’s Chair in College of Computing & Data Science at Nanyang Technological University (NTU), Singapore. He is serving as the Associate Provost (Graduate Education) and Dean of Graduate College at NTU Singapore. Previously he has served as the Associate Vice President (Capability Building) at President’s Office (2023), the Associate Dean (Research) at College of Engineering (2018-2023), the Associate Dean (Research) at College of Engineering (2018-2023), the acting Director for Nanyang Technopreneurship Center (NTC) (2017-2019) and the Assistant Chair (Innovation) at the College of Computing & Data Science (2016-2018), at NTU Singapore. 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. He is a Fellow of IEEE and Singapore Academy of Engineering, and an ACM Distinguished Member.
Dr. Wen has published over 300 papers in top journals and prestigious conferences, and his systems research has gained global recognitions. 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 Cognitive Digital Twin for Data Centre, has won the 2015 Data Centre Dynamics Awards – APAC (the ‘Oscar’ award of data centre industry), 2016 ASEAN ICT Awards (Gold Medal), 2020 IEEE TCCPS Industrial Technical Excellence Award, 2021 W.Media APAC Cloud and Datacenter Technology Leader Award, and 2022 Singapore Computer Society Digital Achiever Tech Leader Award. He was the winner of 2019 Nanyang Research Award and the sole winner of 2016 Nanyang Awards for Innovation and Entrepreneurship, both of which are the highest recognition at NTU. He is a co-recipient of multiple Best Paper Awards from top journals, including 2019 IEEE TCSVT and 2015 IEEE Multimedia, and at international conferences, including 2023 ASPLOS, 2016 IEEE Globecom, 2016 IEEE Infocom MuSIC Workshop, 2015 EAI Chinacom, 2014 IEEE WCSP, 2013 IEEE Globecom and 2012 IEEE EUC.
Currently he is the Editor in Chief of IEEE Transactions on Multimedia (TMM), serves or has served on editorial boards for multiple IEEE and ACM transactions, and was the elected Chair for IEEE ComSoc Multimedia Communication Technical Committee (2014-2016). His research interests include cloud computing, green data center, big data analytics, multimedia network and mobile computing.
Dr. Wen has published over 300 papers in top journals and prestigious conferences, and his systems research has gained global recognitions. 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 Cognitive Digital Twin for Data Centre, has won the 2015 Data Centre Dynamics Awards – APAC (the ‘Oscar’ award of data centre industry), 2016 ASEAN ICT Awards (Gold Medal), 2020 IEEE TCCPS Industrial Technical Excellence Award, 2021 W.Media APAC Cloud and Datacenter Technology Leader Award, and 2022 Singapore Computer Society Digital Achiever Tech Leader Award. He was the winner of 2019 Nanyang Research Award and the sole winner of 2016 Nanyang Awards for Innovation and Entrepreneurship, both of which are the highest recognition at NTU. He is a co-recipient of multiple Best Paper Awards from top journals, including 2019 IEEE TCSVT and 2015 IEEE Multimedia, and at international conferences, including 2023 ASPLOS, 2016 IEEE Globecom, 2016 IEEE Infocom MuSIC Workshop, 2015 EAI Chinacom, 2014 IEEE WCSP, 2013 IEEE Globecom and 2012 IEEE EUC.
Currently he is the Editor in Chief of IEEE Transactions on Multimedia (TMM), serves or has served on editorial boards for multiple IEEE and ACM transactions, and was the elected Chair for IEEE ComSoc Multimedia Communication Technical Committee (2014-2016). His research interests include cloud computing, green data center, big data analytics, multimedia network and mobile computing.
- AI4Science (e.g., fast CFD)
- Computational Sustainability (e.g., green data centre)
- Distributed Systems (e.g., blockchain, cloud, MLsys)
- Computational Sustainability (e.g., green data centre)
- Distributed Systems (e.g., blockchain, cloud, MLsys)
- Alibaba-NTU President’s Chair in Computer Science and Engineering
- Project: 004-Green Cloud Computing (Alibaba)
- Project: 004-Green Cloud Computing (IAF-ICP)
- Industrial Metaverse Platform for Data Center Management and Operations
- Monetary Academic Resources (MAR)
- Toward Intelligent UPS Battery Predictive Maintenance via Hybrid Physics-Based and Data-Driven Digital Twins
- Investigate into mechanisms of Li Ion battery aging and degradation. Develop degradation models based on lump circuit and data driven deep learning.
- Towards Resilient Data Centre Operations via Physics-Informed Predictive Maintenance
- Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) (IAF-ICP)
- Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) (Alibaba)
- Algorand Centre of Excellence at NTU (ACE@NTU) [under NTU Centre in Computational Technologies for Finance]
- WP2: Cognitive Digital Twin and Physics-based ML for Battery Analytics and WP3: Edge Intelligence for Low Cost and Deployable Solutions (PI: Wen Yonggang)
- Physics and Knowledge Transfer-based Cognitive Digital Twin for Advanced Battery Analytics
- Holistic Moving Target Defence for Autonomous Driving Perception
- Hey!Shake: AI-enabled Video-to Online (V2O) Technology for an Immersive Learning Hub at NTU
- Industry Collaboration with Digitalland Innovation and Technology Pte Ltd
US 2015/0341686 A1: Multi-Screen Media Delivery Systems And Methods (2017)
Abstract: A system is proposed for delivering video content to display devices using a cloud computing model. A plurality of independent physical computer systems cooperate to implement a virtual computer system (“cloud”) which receives media content from sources of media content, and delivers the media content selectively to video display devices. For each of a plurality of users of the virtual computer system, there is a corresponding process (“cloudclone”) running on the virtual computer system which coordinates the delivery of the content to one or more of the video display devices which are associated with the corresponding user. The cloudclone includes respective components for managing the transfer of media content to each of the video display devices associated with the user. This makes possible a straightforward way of migrating video sessions between the devices associated with the user, by changing the corresponding cloudclone. The cloud can also access pre-determined social relationships between the users, and use the actions of a first of the users, to control content delivered to the other user(s) with which the first user has a social relationship.
Abstract: A system is proposed for delivering video content to display devices using a cloud computing model. A plurality of independent physical computer systems cooperate to implement a virtual computer system (“cloud”) which receives media content from sources of media content, and delivers the media content selectively to video display devices. For each of a plurality of users of the virtual computer system, there is a corresponding process (“cloudclone”) running on the virtual computer system which coordinates the delivery of the content to one or more of the video display devices which are associated with the corresponding user. The cloudclone includes respective components for managing the transfer of media content to each of the video display devices associated with the user. This makes possible a straightforward way of migrating video sessions between the devices associated with the user, by changing the corresponding cloudclone. The cloud can also access pre-determined social relationships between the users, and use the actions of a first of the users, to control content delivered to the other user(s) with which the first user has a social relationship.