Jihoon Suh

Jihoon Suh

PhD student @ NCS Lab
Research Interests:

  • Control Theory
  • Cryptography
  • Reinforcement Learning

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

  • Jihoon Suh, Yeongjun Jang, Kaoru Teranishi, and Takashi Tanaka. Relative Entropy Regularized Reinforcement Learning for Efficient Encrypted Policy Synthesis. IEEE Control Systems Letters, Early Access, June 2025.
  • Jihoon Suh and Takashi Tanaka. Efficient Implementation of Reinforcement Learning over Homomorphic Encryption. Journal of The Society of Instrument and Control Engineers, vol. 64, no. 4, pp. 223–229, 2025.

Conference Proceedings

  • Jihoon Suh, Michael Hibbard, Kaoru Teranishi, Takashi Tanaka, Moriba Jah, and Maruthi Akella. Encrypted Computation of Collision Probability for Secure Satellite Conjunction Analysis. 75th International Astronautical Congress (IAC 2024), 2024.
  • Jihoon Suh and Takashi Tanaka. Encrypted Price-based Market Mechanism for Optimal Load Frequency Control. IFAC-PapersOnLine, vol. 56, no. 2, pp. 11203–11208, 2023.
  • Jihoon Suh and Takashi Tanaka. Encrypted Value Iteration and Temporal Difference Learning over Leveled Homomorphic Encryption. In 2021 American Control Conference (ACC), pp. 2555–2561, IEEE, 2021.
  • Jihoon Suh and Takashi Tanaka. SARSA (0) Reinforcement Learning over Fully Homomorphic Encryption. In 2021 SICE International Symposium on Control Systems (SICE ISCS), pp. 1–7, IEEE, 2021.