Team

Milind Chabbi obtained Ph.D. in Computer Science from Rice University. Dr. Chabbi is an expert in software performance measurement, analysis, simulation, and optimization. He has a background in high-performance parallel computing (HPC), compiler optimizations, computer architectures, performance analysis tools, and software security. He brings over 15 years of industrial experience and expertise from working at Hewlett Packard Labs, Lawrence Livermore National Labs, Microsoft, and Motorola.

Dr. Chabbi has established a track record of developing cutting-edge software tools for pinpointing performance and security problems hidden in complex software systems with ease. He has developed innovative synchronization algorithms best suited for emerging large, persistent, and non-uniform memory many-core architectures.

Dr. Chabbi has published over fifteen scholarly articles in top-tier conferences and holds seven patents. He has served on numerous program committees such as PPoPP and CGO. He has served as a peer reviewer for journals such as Transactions on Parallel and Distributed Systems (TPDS), Transactions on Computer Systems (TOCS), Transactions on Parallel Computing (TOPC), Concurrency and Computation: Practice and Experience (CPE), Software: Practice and Experience (SPE), and Transactions on Computers (TC). He has also contributed to numerous open-source projects.

Xu Liu obtained Ph.D. in Computer Science from Rice University. Dr. Liu is an assistant professor of Computer Science at The College of William and Mary.

Dr. Xu Liu’s research interests lie in parallel computing, compiler techniques, and systems. He focuses on developing tool infrastructures to measure and analyze program executions on emerging parallel architectures. He has demonstrated that his tools offer unique insights needed to enhance code performance, developer productivities, and energy efficiency.

Dr. Liu has published over twenty scholarly articles in top-tier conferences. He has served on numerous program committees such as ASPLOS, PPoPP, IPDPS, CCGRID, HPDC, CGO, and ICPP. He has served as a peer reviewer for journals such as Concurrency and Computation: Practice and Experience, ACM Transactions on Architecture and Code Optimization (TACO), Journal of Parallel and Distributed Computing (JPDC). He has also contributed to numerous open-source projects.