Bio
I am a Ph.D. student at Embedded Intelligent Systems(EIS) Lab under the supervision of Prof.JeongGil Ko and jointly advised by Prof.Songkuk Kim .
From August 2024 to February 2025, I was a visiting researcher at Singapore Management University (SMU) under the supervision of Prof. Rajesh Krishna Balan, and I continue to work closely with the SMU team.
My primary research interests lie in machine learning (ML) and deep learning (DL) applied to mobile and embedded systems, with a particular focus on federated learning.
Recently, I've been delving into intelligent clinical and healthcare systems, as well as exploring security issues within deep learning models and systems.
Research Interests
- Efficient and Secure Distributed AI (Federated Learning, On-Device AI)
- Security/Privacy in Intelligent Systems
- On-Device AI for Human Centered Embedded/Mobile Systems and Applications
- Intelligent Systems for Medical and Clinical Systems and Applications
- Evidential and Explainable Artificial Intelligence
- Understanding and Analyzing Neural Networks
I focus on researching diverse areas that grow out of building real-world applications that create new value using AI.
At the core, I'm most interested in designing systems that account for the practical constraints of mobile and embedded devices, and leveraging them to tackle problems in healthcare, mobile health, and sports/performance analytics.
Building on this, I also develop foundational techniques that address the practical challenges that emerge in these settings such as efficiency, robustness, reliability, and privacy-preserving learning and deployment.
This includes developing efficient AI training methodologies that can run under limited computational resources.
At the same time, since mobile AI systems often handle highly sensitive personal data, I also study privacy- and security-oriented defenses as well as emerging attacks.
More broadly, I aim to understand the fundamental principles behind how AI works and, grounded in an understanding of the systems that serve and deploy it, develop effective and efficient solutions to these challenges.
