Shih-Chun Lin
Biography
Dr. Lin conducts research on wireless software-defined networking systems, including next-generation cellular networks, Internet of Things (IoT), and cyber-physical systems (CPS), along with network function virtualization and cloudification. He also conducts research on wireless communication in challenged underground and underwater environments. All of these studies are investigated through both rigid theoretical analysis and practical implementations.
Education
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Ph.D.
2017
Electrical and Computer Engineering
Georgia Institute of Technology, Atlanta
Research Focus
Funded Research
- In-Network Processing for Timely Federated Multi-Task Learning over Wireless Edges
- Towards Scalable and Resilient Cyber Infrastructure for Mission-Critical UAV-Enabled Wireless Networks
- Towards Ultra-Reliable Low-Latency Communications for 5G UAV Ecosystems: Collaborative Research Planning among NC State, NU and AU
Awards & Honors
- 2020 - Distinguished TPC Member Award, IEEE International Conference on Computer Communications (INFOCOM).
- 2016 - Best Student Paper Award Runner-up, IEEE International Conference on Services Computing (SCC).
Recent News
Intelligent Framework Aims To Optimize Data Transfer in 5G Networks
Posted on May 20, 2019 | Filed Under: Research and Smart
New tech is designed to allow cellular communication nodes in 5G systems to partition bandwidth more efficiently in order to improve end-to-end data transmission rates.
This post was originally published in NC State News.
ECE Welcomes New Faculty
Posted on June 23, 2017 | Filed Under: Faculty and News
NC State ECE is proud announce the addition of three new assistant professors to the distinguished faculty. A variety of scholars from across the country will be joining the Wolfpack to lend their experience and expertise to our students an …
Recent Publications
- FracBot Technology for Mapping Hydraulic Fractures (2021)
- Wireless Networked Multirobot Systems in Smart Factories (2021)
- Eco-Vehicular Edge Networks for Connected Transportation: A Distributed Multi-Agent Reinforcement Learning Approach (2020)
- Software-Defined architecture for QoS-Aware IoT deployments in 5G systems (2019)
- A Software-Defined Networking based Architecture for QoS-Aware IoT Communication in 5G Systems (2018)
- Dynamic bandwidth allocation in SDN based next generation virtual networks (2018)
- End-to-End Network Slicing for 5G&B Wireless Software-Defined Systems (2018)
- SDN-based architecture for providing reliable Internet of Things connectivity in 5G systems (2018)
- Towards Optimal Network Planning for Software-Defined Networks (2018)
- Towards Software-Defined Massive MIMO for 5G&B Spectral-Efficient Networks (2018)