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.

Software implementations on GitHub.

Recent Selected Publications

1. , … “Weighted Hypoxemia Index: An adaptable method for quantifying hypoxemia severity.” PLOS ONE, 2025. Keywords: computational method, healthcare AI, biomarker

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2. , … “Learning in recurrent spiking neural networks with sparse full-FORCE training.” ICANN, 2024. Keywords: brain-inspired AI, sequential learning Keywords: computational method, healthcare AI, biomarker

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3. , … “Data-Driven Learning of Aperiodic Nonlinear Dynamic Systems Using Spike-Based Reservoirs-in-Reservoir.” IJCNN, 2024. Keywords: reservoir computing, neural networks Keywords: computational method, healthcare AI, biomarker

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4. , … “Sparsity-aware learning in feedback-driven differential recurrent neural networks.” ICANN, 2024. Keywords: neuromorphic system learning, RNNs, machine learning
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5. , … “Learning in Feedback-driven Recurrent Spiking Neural Networks using full-FORCE Training” IJCNN, 2022. Keywords: neuromorphic system learning, RNNs, machine learning
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