Near-Optimal Approximations for Bayesian Inference in Function Space
A scalable inference algorithm for Bayes posteriors defined on a reproducing kernel Hilbert space (RKHS).
Publications
Generalised Variational Inference for Gaussian Processes (Msc. Thesis)
Achieved linear time inference objectives for variational Gaussian processes compared to cubic complexity approaches in existing literature.
Power Optimization Using Embedded Automatic Gain Control Algorithm with Photoplethysmography Signal Quality Classification
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.
Biomedical Named-Entity-Recognition (BASc. Thesis)
Demonstrated state-of-the-art performance for named-entity recognition(NER) of biomedical literature with transfer learning and multi-tasked learning.
Development and Validation of a 3D-printed Neuronavigation Headset for Therapeutic Brain Stimulation
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.
Robust Beat-To-Beat Detection Algorithm for Pulse Rate Variability Analysis from Wrist Photoplethysmography Signals
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.