 MMMC2015
Malaysia Mathematical Modelling Camp 2015
“Promote a broad range of problem-solving skills”
ABOUT
Malaysia Mathematical Modelling Camp is a 4-day workshop that aims to provide participants with hands-on experience of mathematical modelling under the guidance of an experienced instructor. The Camp is designed to promote a broad range of problem-solving skills, such as mathematical modelling & analysis, scientific computation & critical assessment of solutions.
The problems to be considered are inspired by real problems that have arisen in industry or science. The Camp begins with presentations from the mentors. Then, according to preference, the participants form teams to work on each problem. Scientific communication is an important part of the Camp and all participants are expected to make presentations, with each group expected to submit a report after the Camp has ended.
The Camp is designed to run back-to-back with the 3rd Mathematics in Industry Study Group (MISG 2015), Malaysia, 6 – 10 April 2015, with all Grad Camp attendees are expected to attend the study group. The Camp runs the week prior to the MISG, providing problem-solving experience as a warm-up for the Study Group. All meals will be provided for the duration of the Camp. Attendees will need to cover their own travel costs and are advised to approach their home institution for support if needed.
PROBLEMS & MENTORS
Mathematical Modelling in Industry
We consider five possible problems in industry which involve mathematical modelling: the green bike scheme, optimisation issues for apple manufacturers, optimising hydro-electric power generation, modelling lake pollution, and spray droplet interception
Prof. Dr. Robert McKibbin, FNZMS
Massey University
New Zealand
Mathematical Modelling in Microbial Enhanced Oil Recovery
Microbial Enhanced Oil Recovery (MEOR) is a method that utilizes microbial activity as an agent to enhance oil recovery. Previous study shows that certain bacteria have the ability to live in high-pressured condition and change the chemical and physical properties of hydrocarbon by decreasing the interfacial tension, density and viscosity of oil. In this problem, we would like to construct a mathematical model that depicts the growth of such bacteria.
Prof. Dr. Edy Soewono
Institut Teknologi Bandung
Indonesia
Industrial Problem on the Electrochemical Modelling of Battery Electrodes
This is an industrial problem on the electrochemical modelling of battery electrodes. It offers a good selection of solution approaches, including analytical, numerical and approximate (asymptotic analysis). Requires the use of MATLAB.
Assoc. Prof. Dr. Troy Farrell
Queensland University of Technology
Australia
Stochastic Disaggregation of Rainfall Series
The need for hourly and subhourly data for hydrological applications, especially in flood studies, suggests the use of appropriate techniques to refine the available daily information and provide the user with possible realisations at hourly and subhourly scales. The objective of this project is to disaggregate daily rainfall data into hourly and sub-hourly data using stochastic method. The model developed is able to be applied at various sites and for different rainfall patterns.
Assoc. Prof. Dr. Fadhilah Yusof
Universiti Teknologi Malaysia
Malaysia
Mathematical Modelling for Mudball Treatment of Pollution in Skudai River, Johor
This problem involves determining the most favourable amount of Effective Microorganism (EM) for achieving the optimum decontamination of pollutant in rivers. This study involves modelling a lumped parameter model governed by a non advection equation in a steady state case for one spatial dimension.
Assoc. Prof. Dr. Ali H. M. Murid
Universiti Teknologi Malaysia
Malaysia
Optimal Positioning of Security Cameras
This problem involves optimising the number of security cameras in an indoor space. In particular, we would like to minimise the number of cameras needed, while ensuring that we have a good coverage of the room. Ideally, we would like to be able to input the geometry of a room into a computer program and have it tell us the best placing of cameras.
Dr. Robert Style
University of Oxford
United Kingdom
BROCHURE
GALLERY
