Harshita Sharma
Scholar

Harshita Sharma

Google Scholar ID: sTHDnuEAAAAJ
Senior Researcher at Microsoft
Computer visionMedical image analysisMachine learningBiomedical imagingMultimodal methods
Citations & Impact
All-time
Citations
1,796
 
H-index
25
 
i10-index
38
 
Publications
20
 
Co-authors
61
list available
Resume (English only)
Academic Achievements
  • Published papers such as 'Multimodal healthcare AI: identifying and designing clinically relevant vision-language applications for radiology'.
Research Experience
  • Until June 2021, she was a PostDoc in the Department of Engineering Science at the University of Oxford, working on the ERC Project PULSE to develop multi-modal analysis methods for obstetric ultrasound imaging. Prior to 2017, she collaborated with Technische Universität Berlin, analyzing histopathological whole slide images of gastric carcinoma. In 2012-2013, she was a lecturer in electronics and communication engineering at Jaypee Institute of Information Technology. In 2011-2012, she was an exchange research scholar at Technical University Berlin under the DAAD-IIT Master Sandwich Programme, exploring content-based image retrieval for breast cancer biopsies.
Education
  • Ph.D. (Dr.-Ing.) in Computer Vision from Technische Universität Berlin in 2017 (advised by Prof. Olaf Hellwich); M.Tech. in Instrumentation and Signal Processing from Indian Institute of Technology Roorkee in 2012; B.Tech. in Electronics and Communication Engineering from Indira Gandhi Delhi Technical University for Women in 2010.
Background
  • Research interests include machine learning, artificial intelligence, large multimodal models, image analysis, signal processing, and biomedical imaging. She is a Senior ML Researcher at Microsoft, working on machine learning solutions to improve patient outcomes and clinical workflows.
Miscellany
  • Interests include machine learning and AI, biomedical imaging, computer vision, large multimodal models, image analysis, and signal processing.