Dr Nishant Ravikumar
- Position: Lecturer in Computer Science
- Areas of expertise: Machine learning; Computational medicine
- Email: N.Ravikumar@leeds.ac.uk
- Location: 8.49 Worsley building
- Website: Googlescholar | Researchgate
Profile
Nishant Ravikumar is a Lecturer in AI, at the School of Computing, University of Leeds. He completed his PhD in 2017 at the University of Sheffield. Following this, he spent two years as a postdoctoral researcher at the Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Germany, before joining the University of Leeds in 2019. His past research projects have focused on developing machine learning algorithms for medical image analysis. These have included: development of shape registration and shape analysis tools for computer-aided-diagnosis (CAD); analysis of the variation in structural integrity and diffusion-related properties within the brain and its links to dementia; multi-scale and multi-modal image analysis for breast cancer detection & diagnosis; and quantification of cardiac functional indices for population-wide analyses and CAD. His current research interests are in developing algorithms that aid in the effective integration of multi-modal imaging and non-imaging data, for improved biomarker discovery, diagnosis, disease monitoring and patient prognosis.
Responsibilities
- Lecturer in Computer Science
Qualifications
- PhD
- MEng. Biomedical Engineering
Research groups and institutes
- Computational Medicine
- Artificial Intelligence
- Computing in Biology, Medicine and Health
Current postgraduate researchers
<h4>Postgraduate research opportunities</h4> <p>We welcome enquiries from motivated and qualified applicants from all around the world who are interested in PhD study. Our <a href="https://phd.leeds.ac.uk">research opportunities</a> allow you to search for projects and scholarships.</p>Projects
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<li><a href="//phd.leeds.ac.uk/project/2042-medical-vision-language-models-for-visual-question-answering">Medical Vision-Language Models for Visual Question Answering</a></li>