Ashwin De Silva
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Ashwin De Silva

PhD candidate, Biomedical Engineering, Johns Hopkins University

I’m a PhD candidate in the Department of Biomedical Engineering at Johns Hopkins University, advised by Joshua Vogelstein, Pratik Chaudhari, and Carey Priebe. My research focuses on learning from non-stationary data, culminating in a mathematical framework called prospective learning.

I received an M.S.E. in Applied Mathematics and Statistics from Johns Hopkins (2024) and a B.Sc. in Biomedical Engineering from the University of Moratuwa, Sri Lanka (2020).

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Selected awards

Selected publications

  1. Prospective Learning: Learning for a Dynamic Future
    Ashwin De Silva, Rahul Ramesh, Rubing Yang, Siyu Yu, Pratik Chaudhari, Joshua T. Vogelstein
    NeurIPS 2025 [pdf]
  2. Simple Calibration via Geodesic Kernels
    Jayanta Dey, Haoyin Xu, Ashwin De Silva, Joshua T. Vogelstein
    TMLR 2025 [pdf]
  3. The Value of Out-of-Distribution Data
    Ashwin De Silva, Rahul Ramesh, Carey E. Priebe, Pratik Chaudhari, Joshua T. Vogelstein
    ICML 2023 [pdf]
  4. A Joint Convolutional and Spatial Quad-Directional LSTM Network for Phase Unwrapping
    Malsha V. Perera, Ashwin De Silva
    ICASSP 2021 [pdf]
  5. Real-time Hand Gesture Recognition Using Temporal Muscle Activation Maps of Multi-channel sEMG Signals
    Ashwin De Silva, Malsha V. Perera, Kithmin Wickramasinghe, Asma M. Naim, Thilina Dulantha Lalitharatne, Simon L. Kappel
    ICASSP 2020 [pdf]

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Teaching