Xiaowei Yang

Xiaowei Yang is a Professor of Computer Science and Director of Graduate Studies MS Programs at Duke University's Department of Computer Science. His research interests focus on large-scale computer systems, including computer networks and distributed systems. He explores challenges related to the optimal placement of functions within systems and strategies for resilience against failures and security threats. His work aims to establish foundational principles for designing scalable, reliable, secure, performant, and manageable computer systems. Yang is part of the Duke Systems group and is currently interested in developing practical ML/AI technologies to improve network reliability and security, protecting online privacy, and supporting latency-sensitive applications. He teaches courses in computer systems, networks, and distributed systems.

Xiaowei Yang is a researcher at Duke University with expertise in computer systems, networking, security, and distributed systems. His work focuses on improving network architecture, enhancing security mechanisms, and optimizing distributed systems for scalability and reliability. Yang's research includes developing DoS-limiting network architectures, such as TVA and Netfence, to mitigate large-scale attacks. He has also explored secure source authentication, malicious account detection in social networks, and efficient routing protocols for cloud computing environments. His contributions span both theoretical and applied aspects of networking and distributed systems, with a strong emphasis on practical solutions for real-world challenges.