Kamran Pentland

Hi there,

I am a current student in the Mathsys II CDT studying for a PhD in Mathematics of Real-World Systems. My research interests span mathematical models that involve hybrid and multi-scale dynamics, stochastic processes, numerical integration, epidemiology and fluids mechanics. To be honest, any topic that invokes the use of a mathematical model is of interest to me!

More specifically, my PhD project, supervised by Dr. Massimiliano Tamborrino, is focused on the development of time-parallel numerical integration algorithms using probabilistic methods. These algorithms have a wide range of applications for solving ODE and PDE problems in areas from climate modelling to space weather. Our focus application however is speeding up the simulation of nuclear magnetic fusion in collaboration with our external partners Dr. Debasmita Samaddar and Dr. Lynton Appel at UKAEA.

Research Projects

MSc Individual Project (2020) - Hats and pancakes in the sky: high-speed droplet dynamics

A first incursion into the development of models to predict droplet deformation and trajectory in the face of an incoming aerofoil using high resolution direct numerical simulations (DNS) in Basilisk.
Supervised by Dr. Radu Cimpeanu and Dr. Ed Brambley.

[Deformation of a half-droplet interface at successive times t = 250, 300 and 350 as the flow field accelerates from the right hand side. Simulations were calculated on an adaptive mesh solver in Basilisk. ]

MSc Research Group Project (2020) - Stochastic parareal: an application of probabilistic methods to time-parallelisation

An investigation into whether stochastic methods could be incorporated into the parareal algorithm in order to extract further parallel speed-up when integrating systems of ODEs.
Supervised by Dr. Massimiliano Tamborrino, Dr. Debasmita Samaddar and Dr. Lynton Appel.
Fellow group members: Yijie Zhou, Haoran Ni, Jimmy McKendrick and Jack Bara.

MSc Individual Project (2019) - Spin-down in the absence of reflected waves

Main aims were to reproduce the results from the Physics of Fluids paper Spin-up and spin-down in a half cone: a pathological situation or not? using much simpler analytical and computational techniques and to identify any markedly different/contradictory results.
Supervised by Prof. Edward Johnson at University College London.

[A numerical simulation of mass transport streamlines (of an inviscid fluid) building up in the south western corner of the half cone geometry following a spin-down of the fluid.]

Summer Research Project (2017) - Hybrid methods for simulating reaction-diffusion systems

Ten week internship researching and developing a novel hybrid 'blending' algorithm to combine stochastic simulation algorithms (SSAs) with deterministic partial differential equations (PDEs) in order to simulate reaction-diffusion processes more efficiently.
Supervised by Dr. Christian Yates, University of Bath.

[Hybrid blending method where particles in a one dimensional domain $[0,L]$ are tracked in compartments in $\Omega_C$ and $I$ whilst simultaneously tracked at their exact positions in $I$ and $\Omega_B$ .

Invited Talks and Conferences

UKAEA Physics Seminar (2020)

Presented report findings on Stochastic parareal: an application of probabilistic methods to time-parallelisation.

Education

PhD in Mathematics for Real-World Systems, University of Warwick (2020-Present) - Working on it...

MSc in Mathematics for Real-World Systems, University of Warwick (2019-20) - Graduated with Distinction

MSc in Mathematical Modelling, University College London (2018-19) - Graduated with Distinction

BSc in Mathematics with Industrial Placement, University of Bath (2013-17) - Graduated with Upper Second Class Honours

Teaching/Outreach

Mathematics Tutor, Kings College London (2020-Present)

Leading of practical and seminar sessions (virtually) for third year undergraduates in numerical methods for differentiation and integration in Python.

Webmaster, Warwick SIAM-IMA Student Chapter (2020-Present)

In charge of organising online aspects of the Warwick SIAM Student Chapter.

Interdisciplinary article on complexity science (2020) - PDF

Article written for an interdisciplinary module discussing whether increased complexity in scientific models leads to less informative results.

UK Mathematics Trust Volunteer (2017-Present)

Roles have included student mentoring/tutoring for UKMT competitions, BMO marking and annual Maths Miniatures competition judging.

Kamran Pentland

Contact

kamran dot pentland at warwick dot ac dot uk

Office D1.13, Zeeman Building

Links

LinkedIn: kamranpentland

GitHub: kpentland

Extra-curricular Things

Playing football for Maths SFC at Warwick.
Very much into classic cinema and TV as well as fantasy novels.
Scuba diving (in warmer climates!)
Snowboarding (in colder climates!)