Xiaosu Lyu
About Xiaosu Lyu
Xiaosu Lyu is a Research Assistant at the GW Cloud Systems Lab at The George Washington University, where he has worked since 2019. He holds a PhD in Computer Science from the same institution and has a strong background in distributed systems, serverless computing, and information security.
Work at The George Washington University
Xiaosu Lyu has been a Research Assistant at the GW Cloud Systems Lab at The George Washington University since 2019. In this role, Lyu engages in research related to cloud systems, contributing to advancements in the field. Prior to this position, Lyu worked as a Research Assistant at the GW Lab for Intelligent Networking and Computing from 2017 to 2018. Lyu's ongoing involvement at The George Washington University reflects a commitment to academic research and development in computer science.
Education and Expertise
Xiaosu Lyu holds multiple degrees in Computer Science. Lyu earned a Bachelor's degree from Shenyang Jianzhu University from 2002 to 2006, followed by a Master's degree from North China University of Technology from 2006 to 2009. Lyu furthered education at The George Washington University, obtaining a Master's degree from 2017 to 2019 and is currently pursuing a Doctor of Philosophy (PhD) in Computer Science, expected to complete in 2024. Lyu's educational background provides a solid foundation in various computer science disciplines.
Professional Background
Xiaosu Lyu has extensive professional experience in network engineering and research. Lyu worked as a Senior C++ Network Engineer at G-Net Integrated Services Co., Ltd from 2011 to 2013 and at ChinaCache from 2013 to 2015, where responsibilities included optimizing network performance. Lyu also held a position as a C++ R&D Engineer at Beijing Fastweb in 2011. This diverse background in engineering roles has equipped Lyu with practical skills in software development and network optimization.
Research Focus and Skills
Xiaosu Lyu's research focuses on distributed systems and serverless computing platforms, guided by Professor Tim Wood. Lyu possesses a strong understanding of object-oriented programming and design patterns, along with proficiency in various scripting languages including shell, awk, perl, and python. Lyu is knowledgeable in MapReduce and the architecture of Hadoop Yarn, and has experience with multiple database systems such as MySQL, SQL Server, Oracle, and Informix. This skill set supports Lyu's research initiatives in cloud computing.
Technical Proficiencies
Xiaosu Lyu has developed a comprehensive technical skill set throughout the career. Lyu is experienced with Content Delivery Networks (CDN), focusing on improving static content delivery and live streaming distribution. Lyu has optimized the Linux TCP/IP stack and is familiar with open-source projects including OpenSSL, Squid, Nginx, UDT, and ST library. Lyu also has a strong background in information security, identity authentication, and digital signatures in the PKI field, enhancing expertise in secure computing.