Research

Research Directions

Dr. Trung's research connects transport protocols, adaptive networked systems, applied AI, and digital infrastructure.

AI-driven Multipath Transport Protocols

Designing intelligent scheduling mechanisms for QUIC/MPQUIC in heterogeneous wireless networks, including Wi-Fi, LTE, and 5G. The research focuses on stream-aware scheduling, path selection, out-of-order delivery reduction, and web performance optimization.

MPQUICQUICMultipath schedulingStream-aware schedulingHeterogeneous wireless networksReinforcement learningFuzzy Q-learningSoft actor-criticMininet-WiFi

Intelligent Networked Systems

Developing adaptive networked systems that monitor path quality, infer network states, and make intelligent decisions to improve reliability, latency, and throughput.

Network telemetryPath qualityAdaptive systemsLatencyReliability

Smart Healthcare and Digital Infrastructure

Applying AI and digital technologies to smart hospital systems, digital operation centers, healthcare data analysis, and intelligent infrastructure planning.

Smart healthcareDigital operation centerHealthcare analyticsInfrastructure planning

Cloud, Edge, and UAV Systems

Investigating cloud/edge resource optimization, UAV simulation, intelligent control, and practical system deployment for applied AI and networking scenarios.

CloudEdge computingUAV systemsResource optimizationIntelligent control