Research

I work on brain-inspired artificial intelligence, sequential learning, and deep learning algorithm development. Application areas include image classification, signal processing, speech recognition, disease prediction and screening, mutation calling, and other healthcare applications.

Full publication list on DBLP.

Selected Publications

  1. , … “Weighted Hypoxemia Index: An adaptable method for quantifying hypoxemia severity.” PLOS ONE, 2025. Keywords: computational method, healthcare AI, biomarker
    DOI PDF
    Weighted Hypoxemia Index pipeline overview
    Figure 2. Pipeline overview.
  2. , … “Learning in recurrent spiking neural networks with sparse full-FORCE training.” ICANN, 2024. Keywords: brain-inspired AI, sequential learning
    Sparse full-FORCE training schematic
    Figure 1. Sparse full-FORCE training schematic.
  3. , … “Data-Driven Learning of Aperiodic Nonlinear Dynamic Systems Using Spike-Based Reservoirs-in-Reservoir.” IJCNN, 2024. Keywords: reservoir computing, neural networks
    Reservoirs-in-Reservoir architecture
    Figure 1. Reservoirs-in-Reservoir architecture.
  4. , … “Sparsity-aware learning in feedback-driven differential recurrent neural networks.” ICANN, 2024. Keywords: neuromorphic system learning, RNNs, machine learning
    GitHub.
    Differential RNN with sparsity-aware feedback
    Figure 1. Differential RNN with sparsity-aware feedback.