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Suhong Min

Master’s Student in Efficient AI Models

Hello! I’m Suhong Min, a master’s student researching hardware-aware NAS to automatically discover and optimize neural network architectures.

Experience

EAIC Lab, Kookmin University

Undergraduate Researcher → Master’s Student • Mar, 2025 – Present

Worked as an undergraduate researcher focusing on Model Compression, and continued into the Master’s program.

INFOSEC Lab, Kookmin University

Undergraduate Researcher • Jun, 2024 — Jun, 2025

Conducted research on anomaly detection using artificial intelligence.

Education

Kookmin University

Master of Science in Artificial Intelligence • 2025 ~

Kookmin University

Bachelor of Science in Computer Science • 2020 ~ 2025

Projects

Encrypted Traffic Analysis via Packet Length

Project Manager & Lead Developer • Mar, 2025 — Jun, 2025

Detecting applications through analysis of application-specific packet length patterns

Generative AI Security Techniques for Detecting Insider Information Leakage Risks

Assistant Researcher • Mar, 2025 — Jun, 2025

Determine whether a user’s prompt contains confidential information by leveraging a model pretrained on sensitive documents.

Skills

Programming languages

Python, C, C++

Web frameworks

React, Node.js, Express, Flask

Machine Learning libraries

PyTorch, TensorFlow, scikit-learn, NumPy, Pandas

Interests

  • Artificial Intelligence
  • Neural Architecture Search
  • AI model compression and lightweighting

Social Links

  • Github: https://github.com/axhime
  • LinkedIn: https://www.linkedin.com/in/%EC%88%98%ED%99%8D-%EB%AF%BC-835208254/