About Me

I am about to finish my PhD (HKPFS 2019) study at HKUST (May 2024). During my study, I work closely with Prof. Kwang-Ting Cheng, Prof. Zhang Dong, and Prof. Zengqiang Yan. I am currently looking for opportunities in AI and healthcare industry.

I want to push the boundary of personalized healthcare

My primary research interest are in Federated Learning, Medical Image Analysis, Foundational Federated Learning, and Temporal Health Data Analytics for Wellness. I am aiming to design a future where personalized health analytics, where most of the computations are performed at edge (mobile PC) is possible.

Jeffry Wicaksana

jwicaksana AT connect AT ust DOT hk

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Selected Publications

Google Scholar

  • SAM in federated medical image segmentation: friend or foe?

    (Under review, 2024)

  • FedNPR: non-parametric regularization for class imbalance federated medical image classification

    (Under review, 2024)

  • FedMix: mixed supervised federated learning for medical image segmentation

    (IEEE Transactions on Medical Imaging (TMI), 2023)

  • CusFL: customized federated learning for multi-source decentralized medical image classification

    (IEEE Journal of Biomedical and Health Informatics (JBHI), 2023)

  • Variation-aware federated learning with multi-source decentralized medical image data

    (IEEE Journal of Biomedical and Health Informatics (JBHI), 2021)