Photo of Dr Vitaliy Kurlin

Dr Vitaliy Kurlin PhD

Senior Lecturer (Associate Professor) Computer Science


Topological Data Analysis
TDA and related areas
TDA and related areas

Topological Data Analysis provides stable-under-noise methods to quantify geometric properties of topological features such as cycles and holes in unorganised data across all scales. I'm also developing applications to Materials Science (with Materials Innovation Factory at Liverpool, UK), Computer Vision (with Microsoft Research at Cambridge, UK), Climate Systems (with Intel and Lawrence Berkeley National laboratory, USA). More details including papers, C++ software and blog are at the personal webpage


Topology (embeddings of graphs and high-dimensional knots), Singularities (1-parameter projections of links), Non-commutative algebra (exponential equations and braid groups)

Research Grants
  • Application-driven Topological Data Analysis
  • Topological Data Analysis for Faster Materials Discovery
  • Topological analysis of climate systems
Research Collaborations


Project: Group Leader
External: Lawrence Berkeley National laboratory, US

Topological Analysis of Climate Data

Andrew Fitzgibbon

Project: Principal Researcher
External: Microsoft Research Cambridge

Resolution-independent superpixels

Untitled Document