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AI ML Engineer Researcher
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Research Associate
Intel • Part time
Feb 2025 - Mar 2026 • 1 yr 1 mo
Co-developed DuoQ-EpiNet, a dual-track hybrid quantum–classical framework for EEG-based epilepsy seizure detection, integrating 1D CNN feature learning with quanvolutional quantum circuits (built with JAX and PennyLane) and scalogram representations, achieving 98.5% accuracy and 99.49% AUC. • Outperformed classical and transfer learning baselines by up to +9.5% (vs CNN-based models) and demon- strated strong robustness under low-data regimes (5%–100%) and NISQ noise conditions, with consistent gen- eralization across datasets.