Rate My Professor Jason Liu

Liu specializes in parallel discrete-event simulation, with research interests in high-performance modeling and simulation, performance modeling and simulation of computer systems and networks, network modeling, simulation, emulation and testbeds, modeling and simulation of high-performance computing systems, computer systems, cybersecurity, and data analytics. He serves on the Editorial Boards of ACM Transactions on Modeling and Computer Simulation (TOMACS), SIMULATION, Transactions of the Society for Modeling and Simulation International, and IEEE Networking Letters, and on the Steering Committee of the ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (SIGSIM-PADS). He has served as General Chair or Program Chair for several conferences and received research funding from NSF, DOE, DOD, DHS, and NIH. Awards include the NSF CAREER Award in 2006 and ACM Distinguished Scientist in 2014. Key publications include “Toward a Steady-State Fluid Model of HPC Networks” (SIGSIM-PADS, 2025), “A Generalized Model for Modern Hierarchical Memory System” (WSC, 2022), “Simulus: Easy Breezy Simulation in Python” (WSC, 2020), and “Virtual Time Machine for Reproducible Network Emulation” (SIGSIM-PADS, 2019).