Seunghee Shin

Seunghee Shin is an Assistant Professor at the Department of Computer Science within the School of Computing at SUNY Binghamton. He holds a PhD from North Carolina State University (2018), an MS in Computer Science from Northeastern University (focusing on computer networks), and a BS in Computer Engineering from Myongji University, South Korea. His research focuses on advancing computer architecture and systems, particularly exploring how emerging technologies influence memory systems. Notably, he received the NSF CAREER Award for research addressing faster cloud computing. With over five years of industry experience in system software development for mobile and storage systems, he bridges academic innovation with practical implementation. Currently, he is actively hiring PhD students to contribute to his research endeavors.

Education:

• PhD, Electrical and Computer Engineering, North Carolina State University (2018)
• MS, Computer Science, Northeastern University
• BS, Computer Engineering, Myongji University

Research Interests:
Dr. Shin’s work centers on optimizing memory systems through novel architectures, including studies on non-volatile memory (NVM), GPU memory management, and serverless computing efficiency. His investigations into device-driven security vulnerabilities (e.g., IOMMU side-channel attacks) highlight a commitment to safeguarding modern computing systems. Key themes include:

• Emerging memory technologies and their integration
• Performance optimization in cloud/serverless environments
• Hardware-software co-design for latency reduction

Awards:

• NSF CAREER Award (2024): Funds research into scalable serverless computing frameworks

Advising & Grants:
Dr. Shin oversees student research into cutting-edge memory systems and collaborates with industry on storage system development. While specific grant details are not listed, his NSF award underscores sustained external funding.

Labs/Teams:
His research group focuses on interdisciplinary projects at the intersection of architecture, systems, and security, leveraging SUNY Binghamton’s resources for experimental validation.