As demands for knowledge increase, research at academic institutions becomes a valuable component to the knowledge-based economy.
SUNY Korea will provide a holistic research experience to our students and faculty together with Stony Brook University, the Center of Excellence in Wireless and Information Technology, also known as CEWIT, and CEWIT Korea.
SUNY Korea emphasizes integration of research, student involvement, and dissemination of knowledge promoted by local workshops and seminars, and by the active participation of both faculty and students through publications in and the attendance at international conferences. SUNY Korea will foster partnerships and cooperative programs with local industries and government agencies.
- Algorithms and Complexity
- Architecture and Organization
- Big Data
- Biomedical Informatics
- Computational & Systems Biology
- Human-Computer Interaction
- Information Assurance and Security
- Information Management
- Intelligent Systems
- Networking and Communication
- Programming Languages
- Software Engineering
- Smart Energy
- Systems Fundamentals
Algorithms and Complexity Overview
Efficient algorithm design is critical for the performance of all software systems. Faculty and students in this knowledge area select and design algorithms appropriate to particular purposes. In addition to our theoretical contributions, CS researchers have studied algorithms involves databases, distributed computing, graphics, networking, operating systems, programming languages, and security.
Big Data Overview
Working with big data, researchers study the science, engineering, and technology behind producing and maintaining large data streams. The areas of big data that are studied at SBU incorporate a variety of industries including finance, medical, and science as well as governmental implications of big data. Based on the theory that the big data phenomenon is driven by massive amounts of data in need of powerful, scalable algorithms, researchers face the challenge to control errors and sampling processes.
Biomedical Informatics Overview
CS supports the University's biomedical informatics (BMI) effort to deliver innovative informatics concepts and processes to enhance scientific investigations and healthcare delivery. Cutting edge research in BMI include imaging informatics, computational science, and pathology informatics.