RESEARCH INTERESTS

♦ (Current Focus) High-Performance Computing for AI/ML

• High-performance computing for large AI/ML models
• High-performance platform for on-device AI/ML
• Hybrid of Classical/Quantum Computing
• OpenRAN AI/ML for 5G/6G Wireless Networks

High-Performance Computing in Big Facilities

• Optimizing scientific workflows and network transfer job scheduling in R&E networks such as ESnet/Internet2/KREONET.
• Optimizing system components holistically for high-speed data transfer.
• Parallel job scheduling especially focusing on time-critical jobs combined with bach jobs.

Cloud Computing for Big Data

• Container-based Hyper-Converged Infrastructure.
• Dynamic resource provisioning for streaming data.
• Flexbile and fast storage management system for SSD/NVRM.

IoT Data Analytics

• Time-series data prediction using Deep Learning.
• Light-weight Deep Learning for edge computing/devices.
• Flexible IoT datapath management using SDN.