2018 ECMI Modelling Week


The 32nd ECMI Mathematical Modelling Week will be organized by the Department of Mathematics and Informatics Faculty of Sciences , of Novi Sad Unversity , and will take place on July 15-22, 2018 at University of Novi Sad campus. ECMI has been running annual Modelling Weeks for students since 1988.

For more informations: https://sites.dmi.uns.ac.rs/ecmimw2018/

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Modelling & Experiments in Drug Delivery Systems (MEDDS)

Mathematical modelling is playing an increasingly important role in the field of medicine through the use of models and simulations.  These represent a useful tool to complement theoretical and experimental work and have the potential to inform personalized approaches for treatment.

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Controlled drug delivery systems have become common in the clinic.  These systems combine a platform or carrier with a drug in such a way that the drug is efficiently released to a target tissue or organ, while maintaining the drug concentration within a therapeutic window. Whilst many such systems have achieved successful results clinically, there remains a number of scientific and technological challenges and an opportunity for further fine-tuning and optimization. Addressing these challenges requires a multi-disciplinary approach.

Dr Sean McGinty, at the University of Glasgow, is hosting a 3 day workshop to bring together theoretical and experimental researchers, industrialists and clinicians working broadly in the area of drug delivery, so that the problems that persist may be identified from an ‘end-user’ point of view, new challenges laid down and successfully tackled.

The scope of the workshop includes (but is not limited to):
♣ Design, testing and optimisation of  drug delivery systems and drug delivery strategies
♣ Identification of drug release mechanisms
♣ Controlled release formulations
♣ Biomaterials, smart polymers and hydrogels
♣ Clinical and industrial challenges
♣ Personalisation and patient-specific modelling
♣ Nanoparticles, microspheres, liposomes and quantum dots
♣ Antibody therapeutics
♣ Pharmacokinetics/Pharmacodynamics (PK/PD)

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Mathematical, computational and experimental approaches are all within scope.
This event will build on the highly successful first edition of MEDDS (Coimbra, 2016), as well as recent symposia at ECMI2014 (Mathematical Modelling of Drug Delivery) and ECMI2016 (Applied Mathematics in Stent Development), with an added emphasis on industrial and clinical participation.  To this end, the workshop will feature an evening problem solving session where interested delegates can tackle a problem brought by industry.
Keynote speakers:
David Saylor (FDA, USA), Paolo Netti (University of Naples Federico II, Italy), Keith Oldroyd (Golden Jubilee National Hospital, UK)

Who Should Attend?

  • Academics working on drug delivery from any discipline: e.g. mathematicians, chemists, biologists, engineers, …
  • Clinicians
  • Industrialists

Key Dates

  • 15 April 2018: Abstract Submission Deadline
  • 1 May 2018: Notification of Acceptance
  • 17 August 2018: Registration closes


For full details please visit the workshop website

Maths helping the numbers add up for industry

Originally published by COST http://www.cost.eu/media/cost_stories/maths_helping_industry

COST is helping to strengthen the ties between mathematics and industry across Europe. The Mathematics for Industry Network – MI-NET – has been putting mathematicians and industrialists together since 2015, improving best practice thanks to touch points between the two groups throughout COST’s member states.

Academics working in mathematics, from undergraduates to professors, are applying their knowledge to help solve real-world issues affecting industry. Problem-solving workshops provide solutions, while training and secondments are ensuring that younger researchers are reaping the benefits of these ever-improving ties.

MI-NET supports European Study Groups, week-long workshops where practical answers are found for industrial problems using mathematics via brainstorming sessions. Between 60 and 80 mathematicians will look at a problem that, on first sight, has nothing to do with maths. Questions tackled have included, “How do you optimise shoe box size?”and “How can you make a better cup of coffee?” , with answers and strategies devised using the academics’ expertise in mathematics. The Action’s funding is expanding the maths-industry exchange across the continent, as the Chair of MI-NET, Dr Joanna Jordan of the University of Bath’s Institute for Mathematical Innovation, explains.

I was thrilled that MI-NET could enable the first Study Groups ever to be held in Italy and Cyprus ,” she says.  “The first Israeli Modelling Week for postgraduate students took place in July of 2017, and Slovenia hosts its first Study Group in the following September. It will look at an exciting and varied array of real-world problems, from fraud detection in subsidised school meals, to predicting the quantity of meat sold by food manufacturers.”

“This widening participation and the increase in the number of countries across Europe actively involved in industrial mathematics has been the biggest benefit of MI-NET,” Dr Jordan adds.  “I’m delighted that 31 countries are members of MI-NET, which includes 15 of COST’s Inclusiveness Target Countries (ITCs).”

MI-NET is enabling maths to address problems of real social and economic value, and is supporting the development of the next generation of industrial mathematicians. Dr Jordan took part in Study Groups during her PhD and declares: “I found them hugely inspirational. I’m delighted that through MI-NET we can offer this opportunity to more students across Europe.”

MI-NET has worked with a variety of high-calibre industrial partners, including IBM Research and toy manufacturer Engino. Dr Jordan says that they have been “pleasantly surprised” that their issues can be solved by joining forces with mathematicians, but MI-NET is eyeing new challenges with areas such as agriculture and parts of social science yet to use maths as a problem solver.

“We want industrialists to think of mathematicians as their first port of call when tackling new challenges,” she adds. “It’s also important that the Short Term Scientific Missions enable early career investigators to research at an institution or company during a vital phase of their careers.”

MI-NET holds calls for new activities every quarter. It aims to have hosted one event in each of its 31 member countries by the time MI-NET funding ends in 2019. Also in the pipeline is a Study Group handbook, a step-by-step guide to running workshops that will see MI-NET leaving a legacy.

COST Action website: http://www.cost.eu/COST_Actions/tdp/TD1409

Project website: https://mi-network.org/

10th IMA International Conference in Industrial Maintenance and Reliability (MIMAR)

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The 10th International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR) will take place in Manchester, UK from 13 – 15 June 2018. This event is the premier maintenance and reliability modelling conference in the UK and builds upon a very successful series of previous conferences. It is an excellent international forum for disseminating information on the state-of-the-art research, theories and practices in maintenance and reliability modelling and offers a platform for connecting researchers and practitioners from around the world.

For further information on the conference, including instructions for authors, please visit the conference webpage.

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A multiscale transform in medical imaging


My name is Dominic Amann and I am working in the transfer group at the Johann Radon Institute for Computational and Applied Mathematics in Linz. My research topic is image processing for medical purposes such as optical coherence tomography.

The goal of our work is to remove the noise that is inherent to many medical imaging techniques while retaining and even enhancing the underlying structures. Finding a balance between these two conflicting demands depends on many factors such as the image source, intended purpose of the processed image and user preferences. Therefore a second goal is to identify a set of intuitive parameters that can be exposed to the users so that they may modify the algorithm on the fly to fit their needs.

oct_raw Caption: OCT of skin structure, before enhancing

The core of our algorithm is a multiscale transform with needle-shaped elements of many directions and positions at each…

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ESGI 138

The 2018 UK edition of the European Study Group with Industry (ESGI) will be hosted by the Bath Institute for Mathematical Innovation at the University of Bath in collaboration with the Department of Engineering Mathematics at the University of Bristol. The event will take place from 16th to 20th July 2018.

Take part in what promises to be an exciting week-long event bringing mathematicians and industrialists together to work side by side to solve real and important industrial problems.

> Email me when registration opens

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Second Agri-Food Study Group with Industry

The Second Agri-Food Study Group with Industry will be held at ICMS in Edinburgh on the 21st – 23rd February 2018.
If you wish to take part, please register here.
Clean Growth, and the AI & the Data Economy are two of the four Industry Strategy Grand Challenges underpinning much of HMGs investment into R&D over the next few years. Additionally, we can expect  funding in Transforming Food Production to be made available as an Industrial Strategy Challenge Fund, this Study Group is a key way of establishing relationships between communities, refining industry challenges and preparing the mathematical science community for this upcoming opportunity.
The three problems being presented are:
Promar International – Identifying Drivers for Profitability in Cattle
We have a huge amount of data throughout the dairy farm supply chain. We have used this data predominantly for benchmarking, including the impact of different farming systems and geographical areas on profitability. We have done some analysis to identify drivers for profitability using physical and financial parameters but more recently management practices and attitudinal aspects of the farmers. Based on the datasets above, we would like to explore drivers and KPI’s to predict profitability (performance is often masked by the management ability of the farmer and other factors). Another potential area for exploration is in linking genetic and financial data on an individual cow basis. 
Phytoponics – Aeration Optimisation
Phytoponics Hydrosac is a hydroponic growing system module that holds a body of water to grow plants in. At the base of the module is an integrated aerator, which consists of a perforated strip of material that receives external air input from an air compressor, and emits bubbles to the body of water such that oxygenation of the water occurs. The scope of this challenge is to develop a mathematical model of the aeration system of the Hydrosac, including volumetric flow rate, input pressures, aerator strip material design parameters and costs therein, such that Phytoponics can use this model to improve the aeration of the Hydrosac design and select supporting ancillary air supply services or system parameters.
Syngenta – Scheduling Seed Production
Syngenta are one of the largest suppliers of agricultural seed globally. A key requirement of the business is the adequate supply of seeds to meet varied customer demands throughout the world. Scheduling seed production is complex and unpredictable. Crops must be planted one year in advance of when the resultant crop of seeds will be sold. A recurring problem is that of spatiotemporal variation of yield and the management of the associated risk of over / under production of seeds, which is extremely costly, and can severely damage the business. Syngenta have developed an interface for internal planning of production, which is purely based on historical yield. Syngenta would like to rationalise planting strategies which are informed by a judicious choice of objective function, which best optimises the business performance (which could include growth, profitability) and is robust against potential risks (natural, market risks etc). Can a more sophisticated approach “beat” the experts and / or strategies based on historical data simulations?

More information on these problems can be found on the Study Group website. 

The KTN staff and members of their Industrial Mathematics group worked with the University of Bath’s Institute for Mathematical Innovation (IMI) to organise a study group. The Agri-Food Study Group brought together over 40 mathematicians, engineers and computer scientists to work on challenges presented by representatives from the Agri-Food sector over the course of three days. The Study Group which ran from 16-18 January 2017, and was hosted by the IMI and sponsored by Innovate UK.

Three agri-food challenges were presented at the event, namely helping farmers to optimise the value of the pigs they sell (Innovent Technology) improving cocoa yields for the chocolate industry (Mondelez International), and refining the design of a hydroponics system for crop production (Phytoponics Ltd). Further details about these challenges are detailed here.

These challenges required varied expertise from across the mathematical sciences, and it was fascinating to see the three agri-food company representatives working closely with the maths experts over three full days to try and solve the problems presented.

On behalf of Dr. Matt Butchers, Knowledge Transfer Manager, Industrial Mathematics 
Knowledge Transfer Network