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Song Guo
Also published under:S. Guo
Affiliation
Department of Computer Science and Engineering
The Hong Kong University of Science and Technology
The Hong Kong University of Science and Technology
Topic
Federated Learning,Computational Resources,Edge Computing,Edge Server,Time Slot,Mobile Edge Computing,Internet Of Things,Deep Reinforcement Learning,Global Model,Local Training,Communication Overhead,Edge Devices,Estimation Algorithm,Algorithm For Problem,Cloud Computing,Data Privacy,Deep Neural Network,Unmanned Aerial Vehicles,Base Station,Resource Allocation,Scheduling Algorithm,Communication Rounds,Deep Learning,Energy Consumption,Local Data,Neural Network,Optimization Problem,Smart Contracts,Accuracy Of Model,Hash Function,Learning Algorithms,Local Dataset,Bandwidth Resources,Convolutional Neural Network,Data Distribution,Feature Maps,Federated Learning Algorithm,Internet Of Things Devices,Learning Rate,Local Updates,Mobile Users,Model Parameters,Network Topology,Objective Function,Online Algorithm,Service Providers,Task Offloading,Virtual Network Functions,Attention Mechanism,Computation Offloading,
Biography
Song Guo is a full professor in the Department of Computer Science and Engineering (CSE) at the Hong Kong University of Science and Technology (HKUST). Before joining HKUST in 2023, he was a Professor at The Hong Kong Polytechnic University.
His research interests are mainly in edge AI, 6G, big data and machine learning, mobile computing, and distributed systems. As a Highly Cited Researcher (Clarivate Web of Science), he published many papers in top venues with wide impact in these areas and received over a dozen Best Paper Awards from IEEE/ACM conferences, journals and technical committees, Gold Medal in 2023 Geneva Inventions Expo, Gold Award in 2023 AsiaWorld-Expo, and Intellectual Property Ambassador Award in 2020 Hong Kong Social Enterprise Competition. Prof. Guo is a world-renowned leader who made fundamental and pioneering contributions to the development of novel edge intelligence architectures, algorithms, and systems over ubiquitous mobile, IoT, and wearable devices. His work on edge AI, cloud-edge computing, and resilient computing has created significant impact from generation of new scientific knowledge to creation of innovative technologies, as featured widely in prominent public media. He is a Fellow of the Canadian Academy of Engineering (FCAE), Member of Academia Europaea (MAE), Fellow of the IEEE (FIEEE), and Fellow of Asia-Pacific Artificial Intelligence Association (FAAIA).
His research interests are mainly in edge AI, 6G, big data and machine learning, mobile computing, and distributed systems. As a Highly Cited Researcher (Clarivate Web of Science), he published many papers in top venues with wide impact in these areas and received over a dozen Best Paper Awards from IEEE/ACM conferences, journals and technical committees, Gold Medal in 2023 Geneva Inventions Expo, Gold Award in 2023 AsiaWorld-Expo, and Intellectual Property Ambassador Award in 2020 Hong Kong Social Enterprise Competition. Prof. Guo is a world-renowned leader who made fundamental and pioneering contributions to the development of novel edge intelligence architectures, algorithms, and systems over ubiquitous mobile, IoT, and wearable devices. His work on edge AI, cloud-edge computing, and resilient computing has created significant impact from generation of new scientific knowledge to creation of innovative technologies, as featured widely in prominent public media. He is a Fellow of the Canadian Academy of Engineering (FCAE), Member of Academia Europaea (MAE), Fellow of the IEEE (FIEEE), and Fellow of Asia-Pacific Artificial Intelligence Association (FAAIA).