Dr. Victor Yu Liu is the adjunct professor in the Computer Science and Engineering Department, University of Michigan. He has 20+ years of experience in software architecture and engineering for network design, deployment and operation in global carriers, enterprises and manufactures. His recent research interests are on the digitalization of network infrastructure and AI/ML for self-operating networks. His past research areas are on network optimization and survivability, software defined networking (SDN), intend-based networking (IBN), root cause analysis (RCA) and causal inference, and performance evaluation using queueing theory and computational stochastic process. Previously, Victor held the role of the architect of SDN and the acting product owner (manager) on network programmability at ViaSat, led the effort on the close loop network configuration deployment with verification, and AIOps for networking. ViaSat is the leading high-throughput communication satellite provider with the global coverage on the ground and the sky. Before ViaSat, Victor was with Visa as the chief network architect, worked on consolidation of Visa’s network that connects financial institutes world-wide, and optimize software suite for network operation. Victor has also been with Huawei US Research to drive strategic programs for the global carriers for packet and optical networks. He started as an consultant and taking an advisor role on the network optimization group that led to performance and cost optimization for major Internet backbones. Prior to Huawei, he has also been with Juniper Networks in the packet-forwarding engine team for high-end routers, and with OPNET Technologies as the principal developer on various network design and analytic solutions, including traffic engineering, capacity planning, topology design and capital expenditure optimization. Dr. Liu earned his bachelor‘s and master’s degrees from Xi’an Jiaotong University and Tsinghua University in China respectively, and his Ph.D. from the University of Pittsburgh.