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Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
Proposed a robust peak and onset detection algorithm for beat-to-beat (B2B) pulse interval analysis using photoplethysmography (PPG) heart signals.
Published in Journal of Neural Engineering, 2018
Proposed an intermediate solution for neuronavigation in therapeutic brain stimulation, offering superior reproducibility and ease-of-use to scalp measurements, without requiring MRI and frameless stereotaxy.
Demonstrated state-of-the-art performance for named-entity recognition(NER) of biomedical literature with transfer learning and multi-tasked learning.
Published in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Designed and implemented an Automatic Gain Control (AGC) embedded algorithm for photoplethysmographic (PPG) heart sensors.
Achieved linear time inference objectives for variational Gaussian processes compared to cubic complexity approaches in existing literature.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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