Dr Nishant Ravikumar

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

• INSILC: In-silico trials for drug-eluting bioresorbable vascular scaffold design, development and evaluation

Qualifications

• PhD
• MEng. Biomedical Engineering

Research groups and institutes

• Computational Medicine
• Artificial Intelligence
• Computing in Biology, Medicine and Health

Current postgraduate researchers

• Lena Almutair
• Haoran Dou
• Jack Breen
• Cynthia Maldonado
• Benjamin Ayo Matheson
• Sobia Khan