Summary
Yunlong Cheng is a PhD student in Computer Science at Shanghai Jiao Tong University based in San Francisco, specializing in data mining, prediction, and scheduling algorithms for cloud services. With a decade of hands-on experience and publications in venues such as IPDPS, TCS, and DASFAA, he bridges rigorous research with practical system-level problems. His work focuses on optimizing cloud workloads and resource allocation, combining theoretical insights with empirical evaluation. Yunlong has a track record of translating complex scheduling challenges into scalable algorithms and is building toward impactful contributions to cloud service resilience and efficiency. He maintains a public project portfolio at aweftr.github.io that highlights both his research and reproducible implementations.
10 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at 上海交通大学