A.A. Gde Yogi Pramana

AI Singapore. Singapore.

prof_pic.jpg

I’m currently an AI Safety Research Associate at AI Singapore, NTU, and an incoming CS PhD student at the National University of Singapore (NUS).

My research spans AI safety, AI alignment, and cooperative AI: making models robust under adversarial pressure, aligning them with human intent beyond the training distribution, and studying how AI systems and people can coordinate without one party’s goals overriding everyone else’s. That last problem is why I believe the future of AI will be pluralistic — human values are plural and often incompatible, so alignment should treat disagreement as a design constraint rather than as noise to be averaged away.

I hold a Master of Computing in Artificial Intelligence from NUS (2026), a Bachelor of Computing from BINUS University (2026), and a Bachelor of Science from Universitas Gadjah Mada (2025).

selected publications

  1. arXiv
    SafeMed-R1: Adversarial Reinforcement Learning for Generalizable and Robust Medical Reasoning in Vision-Language Models
    A.A. Gde Yogi Pramana, J. Ray, A. Jaya, and 1 more author
    arXiv preprint arXiv:2512.19317, 2025
  2. ICCoSITE
    ESDS: AI-powered early stunting detection and monitoring system using edited radius-SMOTE algorithm
    A.A. Gde Yogi Pramana, H.M. Zidan, M.F. Maulana, and 1 more author
    In Proceedings of the 2024 7th International Conference on Computational Intelligence and Intelligent Systems, 2024
  3. IEEE CAI
    Enhancing Early Stunting Detection: A Novel Approach using Artificial Intelligence with an Integrated SMOTE Algorithm and Ensemble Learning Model
    A.A. Gde Yogi Pramana, M.F. Maulana, M.C. Tirtayasa, and 1 more author
    In 2024 IEEE Conference on Artificial Intelligence (CAI), 2024