Conferences, Courses and Events

Here is a list of upcoming events I will be attending:

Public Engagement Workshop
Dates: 11th - 15th April 2016
Location: TBC, Swindon, UK
Title: Summer School in Public Engagement

BUC Workshop Series: BUC4 - June 2016
Dates: 30th May - 3rd June 2016
Location: Bath University, Bath, UK
Title: New frontiers: advanced modelling in space and time

Dates: 6th - 10th June 2016
Location: Bath University, Bath, UK

RSC 2016
Dates: 14th - 17th June 2016
Location: University College Dublin, Ireland

Here is a list of events I have participated in:

BUC Workshop Series: BUC2 - February 2016
Dates: 19th - 26th February 2016
Location: UNAM, México City, México
Information: Thinking globally: the role of big data

Year 10 Taster Day
Dates: 15th December 2015
Location: Bath University, Bath, UK

BUC Workshop Series: BUC1 - November 2015
Dates: 7th - 16th November 2015
Location: CIMAT, Guanajuato, México
Title: When populations and hazards collide: modelling exposures and health risks.

GW4 Meeting: Methods for Intensively Collected Data
Dates: 6th November 2015
Location: Marriot Hotel, Bristol, UK

Bath Institute for Mathematical Innovation Launch
Dates: 28th October 2015
Location: Assembly Rooms, Bath, UK

Model Reduction for Dynamical Control Systems
Dates: 4th - 10th October 2015
Location: Dubrovnik, Croatia
Theme: Many modern mathematical models of real-life processes pose challenges when used in numerical simulations, due to complexity and large size (dimension). Model Order Reduction is a technique used to lower the computational complexity of such problems, for example, in simulations of large-scale dynamical systems and control systems. By a reduction of the model's associated state space dimension, an approximation to the original model is computed. This reduced order model can then be evaluated with lower accuracy but in significantly less time. The goal of the course is to provide a coherent set of lectures that will adequately clarify the mathematical aspects of the control of dynamical systems, with special emphasis on recent developments and computational methods for large-scale systems, which are based on model reduction.