Rate My Professor Zhiyi Huang

His research focuses on parallel and distributed computing, multi-core systems, green computing, high-performance computing, operating systems, virtualization, computer architectures, wireless sensor networks, parallel algorithms, cluster/grid/cloud computing, computer networks, task scheduling, optical networks, signal processing, and machine learning for biomedical applications including EEG analysis for brain-computer interfaces and mental health diagnostics. Huang has authored numerous publications in leading journals and conferences. Key works include "Astraea: Towards QoS-Aware and Resource-Efficient Multi-stage GPU Services" with Wei Zhang et al. (ASPLOS 2022), "Chimp: a Learning-based Power Aware Communication Protocol for Wireless Body Area Networks" with Abbas Arghavani et al. (IEEE Transactions on Embedded Computing Systems, 2019), "T3-Scheduler: A Topology and Traffic Aware Two-Level Scheduler for Stream Processing Systems in a Heterogeneous Cluster" with Eskandari L. et al. (Future Generation Computer Systems, 2018), and "WATS: Workload-Aware Task Scheduling in Asymmetric Multi-core Architectures" with Quan Chen et al. (IPDPS 2012). He received the Best Paper Award at PDCAT 2011. Huang serves on the editorial board of Scientific Research Publishing and delivers expertise on computer systems performance and brain-computer interfaces.