Kaiyang Liu

Kaiyang Liu is an Assistant Professor at the Department of Computer Science, Memorial University of Newfoundland. He holds a Ph.D. from Central South University (2019) and was a Postdoctoral Fellow at the University of Victoria, Canada. His research focuses on distributed cloud/edge computing, data center networks, and distributed machine learning, emphasizing optimization for data-intensive services. He is an IEEE Senior Member and has received prestigious awards, including the NSERC Discovery Grants and IEEE TCCLD Outstanding Ph.D. Thesis Award.

Education:

• Ph.D. in Information Science and Technology, Central South University (2014–2019)
• M.Sc. in Information Science and Technology, Central South University (2012–2014)
• B.Eng. in Information Science and Technology, Central South University (2008–2012)
• Research Assistant at the University of Victoria (2016–2018)

Research Interests: Kaiyang’s work bridges AI and cloud computing, exploring optimization strategies for next-generation systems. Key areas include learning-based congestion control, energy-efficient resource management, and scalable distributed storage solutions. His research has been published in top-tier journals like IEEE Transactions on Parallel and Distributed Systems and conferences such as IEEE ICDCS.

Awards & Grants:

• NSERC Discovery Grants & Discovery Launch Supplement (2024)
• IEEE TCCLD Outstanding Ph.D. Thesis Award (2020)
• CSC-UVic Fellowship (2016–2018)

Teaching: He teaches courses on Computer Networks, Advanced Computer Networks, and Operating Systems at Memorial University and previously at the University of Victoria.

Labs & Teams: His research group focuses on Space Edge Computing, leveraging LEO satellites for resilient, low-latency networks. Ongoing projects include optimizing distributed systems for AI workloads and satellite-based data centers.