Dr Harshita Sharma is a Postdoctoral Research Assistant at the Biomedical Image Analysis Group, University of Oxford. Her research interests include biomedical image analysis, computer vision, and machine learning applied to healthcare.
In 2017, she completed her Ph.D. degree (Dr.-Ing.) in computer vision from Technical University Berlin after being awarded a full-time DAAD Ph.D. Scholarship. In 2012-13, she was a lecturer in electronics and communication engineering at Jaypee Institute of Information Technology in India.
In 2012, Harshita obtained her Masters degree (M.Tech.) in electrical engineering from Indian Institute of Technology Roorkee, and in 2010, a Bachelors degree (B.Tech.) in electronics and communication engineering from Indira Gandhi Delhi Technical University of Women in India. In 2011-12, she was an exchange research scholar at Technical University Berlin under the DAAD-IIT Master Sandwich Programme.
- Biomedical image analysis
- Computer vision
- Machine learning applied to healthcare
- Graph-theoretic methods
- Ultrasound imaging
- Digital pathology
Harshita's current research focuses on image and video analysis in medical ultrasound using computer vision and deep learning methods. She is interested in developing novel computer-aided healthcare solutions using image and signal processing, natural language processing, information fusion, and heterogeneous data analysis.
During her Ph.D., she analysed histopathological whole slide images for automatic cancer classification, necrosis detection, cell nuclei segmentation and classification, and content-based image retrieval, using deep learning and classical machine learning with graph-based image representation methods in digital pathology.