Dong Il Shin

Dong Il Shin is a Professor in the Department of Computer Science and Engineering at Sejong University, actively conducting research in machine learning and cybersecurity. His work spans network security, healthcare applications, and intelligent systems.

His research focuses on Machine Learning applications for security and healthcare, including intrusion detection systems using Siamese networks, network anomaly detection with deep autoencoders, and behavioral analysis for dementia patients. Key areas include Support Vector Machines, Web Services security, and Natural User Interfaces.

Recent publications demonstrate strong trends in applying machine learning to cybersecurity challenges, particularly in network anomaly detection and malicious activity identification. His 2021-2023 work shows increasing focus on healthcare applications of ML and real-world security implementations.

Professor Shin maintains active research output with 133 total publications and an h-index of 15 based on 946 Scopus citations. His work has generated significant academic interest with 77 Mendeley readers for key papers.

He leads research in the Multimedia & Internet Lab at Sejong University, focusing on defense systems and machine learning applications. The lab has produced over 100 graduates working in government research institutes, corporate R&D centers, and technology companies.