The Intelligent Network sysTem Laboratory
The Intelligent Network sysTem (INT) lab focuses on cutting-edge network system research, including wireless networks, edge computing, autonomous driving, and mobile metaverse.
Advanced Network Systems
Research on a variety of advanced network systems, e.g., end-to-end slicing and edge computing
Develop state-of-the-art system prototypes with diverse opensource platform, e.g., OpenAirInterface, OpenDayLight, OpenAir-CN, and CUDA platform
Selected Publications: CoNEXT'21
- National Science Foundation: CNS Core: Medium: Field-Nets: Field-to-Edge Connectivity for Joint Communication and Sensing in Next-Generation Intelligent Agricultural Networks, link
Real World Machine Learning
Research on real-world AI/ML for practical systems, e.g., network and transporation
Design novel offline and online machine learning algorithms to deal with real world variabilities
Selected Publications: GLOBECOM'20
, IEEE Network Magazine'20
, IEEE Network Magazine'23
- UNL Layman Award: Automated offline simulator augmentation with real-to-sim learning in mobile networks, link
Networked Autonomous Driving
Research on autonomous driving solutions by integrating vehicular and infrastructual information, e.g., live high-definition map.
Develop connected vehicle systems and vehicle-network co-simulation platforms
Selected Publications: INFOCOM'21
- Toyota: Collaborative Data Offloading and Resource Provisioning for Crowdsourcing HD Map in Automotive Edge Computing.
Research on adaptive metaverse systems with edge computing over mobile networks, e.g., 5G and WiFi
Design adaptive protocol, algorithm and system prototypes, e.g., Omniverse, Oculus, and AR/VR
Selected Publications: ICNP'18