Professor Paul Rees
Professor
Engineering
Telephone: (01792) 295197
Room: Academic Office - A_021
Ground Floor
Engineering Central
Bay Campus

Research:

Calculation of optical and electronic properties of semiconductors
Semiconductor device modelling
Simulation of blood clotting
Colloidal quantum dots
Flow Cytometry

Academic awards:

ESPRC’s (Engineering and Physical Sciences Research Council) International Collaboration Sabbatical award
Collaboration opportunity with Professor Anne Carpenter of the Broad Institute of MIT and Harvard, Amnis Corporation, Cancer Research UK and the Centre for Nanohealth in Swansea.

This new initiative aims to foster long-term international collaboration between leading UK researchers and their international peers and break down some of the barriers to extended international collaboration. The programme allows UK-based researchers to undertake visits to overseas centres of excellence for between 6-12 months, built around a high quality research agenda. Current international collaboration has revolved around short-term projects, conferences etc and it was felt that longer-term higher-profile collaboration would be more beneficial.

Publications

  1. & Objective profiling of varied human motion based on normative assessment of magnetometer time series data. Physiological Measurement 39(4), 045007
  2. & Diagnostic Potential of Imaging Flow Cytometry. Trends in Biotechnology
  3. & Organic matter identifies the nano-mechanical properties of native soil aggregates. Nanoscale 10(2), 520-525.
  4. & Reconstructing cell cycle and disease progression using deep learning. Nature Communications 8(1)
  5. & Characterizing Nanoparticles in Biological Matrices: Tipping Points in Agglomeration State and Cellular Delivery In Vitro. ACS Nano 11(12), 11986-12000.

See more...

Teaching

  • EG-118 Engineering Analysis 1C (Chem, Env & Med)

    This module (in combination with engineering analysis 2) provides the essential grounding in mathematical analysis techniques for engineering students. This module ensures that all students have a suitable level of analytical skills for subsequent engineering modules.

  • EG-219 Statistical Methods in Engineering

    This module offers a balanced, streamlined one-semester introduction to Engineering Statistics that emphasizes the statistical tools most needed by practicing engineers. Using real engineering problems students see how statistics fits within the methods of engineering problem solving and learn how to apply statistical methodologies to their field of study. The module teaches students how to think like an engineer when analysing real data. Mini projects, tailored to each engineering discipline, are intended to simulate problems that students will encounter professionally during their future careers. Emphasis is placed on the use of statistical software for tackling engineering problems that require the use of statistics.

  • EGA325 Medical Engineering Group Design Project

    Students will carry out a medical engineering design project in groups of up to 6 people.

  • EGNM03 Nanoscale Simulation

    ¿ Quantum mechanics ¿ Bohr model of the atom, Schrodinger equation, energy eigenvalues and wave functions of the hydrogen atom. ¿ Application of quantum mechanics to nano-scale semiconductor structures ¿ Semiconductor band structure, effective mass approximation, quantum wells, wires and dots, density of states for electrons, quantum devices. ¿ Molecular modelling ¿ Basic atomic forces and bonding, small molecule models, proteins, molecular modelling packages. ¿ Transport of particles ¿ Electron transport; diffusion and conduction, nano-fluidics, rate equations and Monte Carlo simulations.

Supervision

  • Multiplexed in vitro assay for genetic toxicology screening (current)

    Student name:
    PhD
    Other supervisor: Dr James Cronin
    Other supervisor: Dr George Johnson
  • Computational Models in Genetic Network and Bayesian Big Data Analysis (current)

    Student name:
    PhD
    Other supervisor: Dr Pavel Loskot
  • Mixing and interfacial composition in polymer/fullerene thin-films (awarded 2018)

    Student name:
    PhD
    Other supervisor: Dr Anthony Higgins