Dr Pawel Dlotko
Senior Lecturer
Telephone: (01792) 606325
Room: Office - 338
Third Floor
Computational Foundry
Bay Campus

Areas of Expertise

  • computational topology
  • data science


  1. & Fake Conductivity or Cohomology: Which to Use When Solving Eddy Current Problems With $h$ -Formulations?. IEEE Transactions on Magnetics 55(6), 1-4.
  2. & High-Throughput Screening Approach for Nanoporous Materials Genome Using Topological Data Analysis: Application to Zeolites. Journal of Chemical Theory and Computation 14(8), 4427-4437.
  3. & Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function. Frontiers in Computational Neuroscience 11
  4. & A Topological Representation of Branching Neuronal Morphologies. Neuroinformatics 16(1), 3-13.
  5. & Rigorous cubical approximation and persistent homology of continuous functions. Computers & Mathematics with Applications 75(5), 1648-1666.

See more...


  • MA-121 Methods of Algebra and Calculus (with Matlab)

    This module provides a basic introduction to a number of calculation techniques. In the first part we will cover basic calculation methods for matrices and integrals as well as practical techniques. In the second part we will explore basic algorithms and their implementation in Matlab.

  • MA-162 Computational Methods (with Matlab)

    An introduction to computational methods. The module covers basic problems in computation including error analysis and methods for approximating the solution of an equation, and approximating the value of a definite integral. It also highlights the use of MATLAB in the numerical solution of problems.


  • Untitled (current)

    Student name:
    Other supervisor: Prof Jeffrey Giansiracusa
  • Untitled (current)

    Student name:
    Other supervisor: Prof Jeffrey Giansiracusa