Jieyang Chen

Jieyang Chen is an Assistant Professor in the Department of Computer Science at the University of Oregon's School of Computer and Data Sciences, where he leads research in high-performance computing and data-intensive scientific applications. His work bridges theoretical computer science with practical solutions for large-scale computational problems.

Research Focus:

• Developing energy-efficient algorithms for CPU-GPU heterogeneous systems
• Creating fault-tolerant frameworks for scientific computing
• Designing advanced data compression techniques with error control
• Optimizing distributed machine learning workflows

Dr. Chen's research portfolio demonstrates a consistent focus on performance, reliability, and energy efficiency in scientific computing. His recent publications show increasing sophistication in handling scientific data through techniques like multigrid frameworks, progressive retrieval methods, and adaptive compression algorithms that preserve critical features in climate and other scientific datasets.

Education:

• PhD in Computer Science, University of California, Riverside (2019)
• MS in Computer Science, University of California, Riverside (2014)
• BE in Computer Science, Beijing University of Technology

Dr. Chen previously worked as a Computer Scientist at Oak Ridge National Laboratory before joining the University of Oregon faculty. His collaborations span national laboratories and industry partners, contributing to real-world applications in scientific computing infrastructure.