Computer Systems, Cloud/Edge Computing and High-Performance Computing

Faculty working in this area

Faculty Email website
Kenneth Chiu kchiu@binghamton.edu
Kanad Ghose ghose@binghamton.edu
Kartik Gopalan kartik@binghamton.edu
Madhusudhan Govindaraju mgovinda@binghamton.edu
Michael J. Lewis mlewis@binghamton.edu
Seunghee Shin sshin@binghamton.edu
Zhen Xie zxie3@binghamton.edu
Ping Yang pyang@binghamton.edu
Yifan Zhang zhangy@binghamton.edu

Highlights in this area

researches experimental computer systems, including virtualization, cloud computing, security, distributed systems and networks. He heads the Operating Systems and Networks (OSNET) Group, where he works with students on new ways to build and use virtual machines, containers and hypervisors. Some recent projects include virtualization for bare-metal cloud, live replacement of hypervisors, live migration and privacy-preserving VMs.  
researches distributed systems, cloud computing, big data, and high-performance computing.  
researches computer architecture and systems.  

researches high-performance computing (HPC) with a focus on the interaction between machine learning algorithms and system-level performance optimization.

  • System for Machine Learning: building modern ML/DL algorithms and systems on heterogeneous and parallel HPC architectures (e.g., GPUs and AI accelerators).
  • High-Performance Computing: automatic performance optimization on HPC applications with the aid of machine learning.
  • Scientific Machine Learning: accelerating HPC applications using machine learning-based approximation.  
researches information and systems security, privacy, AI-based security, trustworthy AI and virtual machine security. She is the director of the . Her recent research projects focus on improving the accuracy, real-time responsiveness, robustness and explainability of AI-based security solutions.  
researches networking and computer systems. His recent projects converge at the intersection of edge computing, cloud computing, mobile computing and machine learning systems.