13th EAI International Conference on Wireless and Satellite Systems

Day 1 | Sunday, March 12th 2023 | 9:00 GMT+8

9:00 – 9:10 Opening Ceremony

An opening message by the conference organizers.

9:10 – 9:15 Welcome Message by EAI

9:15 – 10:15 Keynote Prof. Peng Li

Title: When Federated Learning Meets Graphs: Chances, Challenges and Solution

10:15 – 11:15 Keynote Prof. Qing Yang

Title: Enabling Machine Learning based Cooperative Perception for Autonomous Vehicle Safety

11:15 – 11:30 Coffee Break

11:30 – 13:10 Session 1

Session Chair: Milad Taleby Ahvanooey, Nanyang Technological University, Singapore

11:30-11:50 Study of semantic addressing and routing for large scale LEO satellite network for 5G and 5GB

11:50-12:10 Study on detection of vascular inner wall with IVUS image

12:10-12:30 Photovoltaic Devices Design Based on Simultaneous Visible-light Information and Power Transfer Circuits

12:30-12:50 TF-Net: Deep Learning Empowered Tiny Feature Network for Night-time UAV Detection

12:50-13:10 A robust beamforming algorithm for satellite communication

13:10 – 14:10 Lunch Break

14:10 – 15:50 Session 2

Session Chair: Wenhan Yu, Nanyang Technological University, Singapore

14:10-14:30 Average Age of Incorrect Information in Random Access Channels for IoT Systems

14:30-14:50 Anomaly Detection for Connected Autonomous Vehicles using LSTM and Gaussian Naïve Bayes

14:50 – 15:10 Detection Algorithm Based on Eigenvalues of Sampling Covariance Matrix for Satellite Cognitive Network

15:10 – 15:30 Hybrid Beamforming Design for Multi-User Multi-Stream Communications with Terahertz Massive MIMO

15:30 – 15:50 Marketing in Wireless Communication: A Systematic Review

Day 2 | Monday, March 13th 2023 | 13:00 GMT+8

13:00 – 14:00 Keynote Pengyuan Zhou

14:00 – 15:20 Session 3: Broadnets

Session Chair: Liangxin  Qian, Nanyang Technological University, Singapore

14:00-14:20 Deep CounterStrike: Counter Adversarial Deep Reinforcement Learning for Defense against Metamorphic Ransomware Swarm Attack

14:20-14:40 Android Malware Detection based on Static Analysis and Data Mining Techniques: A Systematic Literature Review

14:40-15:00 MalEfficient10%: A Novel Feature Reduction Approach for Android Malware Detection

15:00-15:20- Client Selection Based on Diversity Scaling for Federated Learning on Non-IID Data

15:20 – 15:30 Coffee Break

15:30 – 17:10 Session 4: Broadnets

Session Chair: Peiyuan Si, Nanyang Technological University, Singapore

15:30-15:50 BCTM: A Topic Modeling Method Based on External information

15:50-16:10 Improving the Efficiency of WebRTC Layered Simulcast Using Software Defined Networking

16:10-16:30 A new approach for measuring delay in 5G cellular networks

16:30-16:50 A modern platform for social governance

16:50-17:10 An Empirical Study on Model Pruning and Quantization

17:10 – 17:30 Closing Remarks

Best Paper Award