Pramit Saha
Scholar

Pramit Saha

Google Scholar ID: Sb7d-rsAAAAJ
Department of Engineering Science, University of Oxford
Deep LearningFederated LearningMultimodal LearningComputer VisionMedical Image Analysis
Citations & Impact
All-time
Citations
432
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
32
list available
Resume (English only)
Academic Achievements
  • Awarded the MICCAI Young Scientist Award in 2020.
Research Experience
  • During his master's, he worked on using deep learning-based strategies to map active thoughts or gestures to acoustics for artificial voice synthesis, developed gesture-based speech interfaces, and EEG-based imagined speech recognition systems. Currently working on the CALOPUS project, aiming to develop a point-of-care ultrasound solution that identifies risks of adverse pregnancy events.
Education
  • Graduated from the University of British Columbia, Vancouver, Canada, with an MASc in Electrical and Computer Engineering in February 2021, as a MITACS Globalink Research Fellow and Graduate Research Assistant in HCT Lab; then started studying for a DPhil under Prof. Alison Noble, focusing on solving challenges in federated learning scenarios.
Background
  • Research interests include Deep Learning, Medical Image Analysis, and Computer Vision. His work primarily targets finding alternative vocal communication pathways, especially for people with speaking disabilities, by employing deep learning strategies to map thoughts or gestures to the acoustic space for artificial voice synthesis.