Research

Research Areas

Home > Research > Research Areas > Software Systems & Networking

Research

Research Areas

Home > Research > Research Areas > Software Systems & Networking

Research Areas

Home > Research > Research Areas > Software Systems & Networking

Software Systems & Networking

Research Goals and Vision

The research in software systems and networking at the KAIST School of Electrical Engineering aims to develop cutting-edge technologies to provide innovative solutions across various application domains. This research covers systems for AI, operating systems software, storage and file systems, distributed systems, and embedded systems.

The department’s innovative research in AI systems, operating systems, storage and file systems, distributed systems, and embedded systems is applied across various industries, including IT, telecommunications, and industrial automation.

Key Research Areas

Systems for AI

  • AI Accelerator Integration : Developing integrated systems with hardware and software to accelerate AI computations.
  • Efficient Data Processing : Designing system architectures capable of efficiently processing large-scale datasets.

Operating Systems Software

  • Resource Management : Researching operating system techniques for efficient management of CPU, memory, and I/O resources.
  • Security and Reliability : Enhancing the security and reliability of operating systems through robust design and implementation.

Storage and File Systems

  • Scalable File Systems : Developing scalable file systems capable of storing and managing large volumes of data.
  • Data Integrity : Researching technologies to ensure data integrity and prevent corruption and loss.

Distributed Systems

  • Distributed Computing Architectures : Designing distributed computing systems where multiple computers collaborate to perform tasks.
  • Data Consistency : Developing algorithms and protocols to maintain data consistency in distributed environments.

Embedded Systems

  • Real-Time Systems : Creating embedded systems for applications that require real-time data processing.
  • Low-Power Design : Designing low-power embedded systems for devices where battery life is critical.

Research and Applications

The department’s innovative research in AI systems, operating systems, storage and file systems, distributed systems, and embedded systems is applied across various industries, including IT, telecommunications, and industrial automation.

Recent related activities in Software Systems & Networking

See below for specifc ongoing research topics related to Software Systems & Networking of KAIST EE.