Tag Archives: Computer Science

A new collaboration with old friends

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Two departments at the University of Reading (Computer Science and the KTC) have recently teamed up to complete an Innovate UK Knowledge Transfer Partnership with High Wycombe-based tech company Optimal Monitoring.

Optimal Monitoring provide energy management advice to companies and through their recent Knowledge Transfer Partnership with the Knowledge Transfer Centre, have developed a unique AI Energy Management Solution which not only helps businesses identify abnormal and anomalous energy and utility consumption but also suggests solutions to fix the issues. This exciting technology, known as ‘EMMA’, will particularly be of interest to large multi-site companies (such as retail chains) where it’s not worth paying a consultant to analyse the data for each site but an automatic tool can prove very cost effective.

Optimal Monitoring and their product have earned their position as finalists in the Wright Commission Awards for 2019, and possess the only energy management software which has made it through to the final. This award nomination has already generated media coverage, and we wish Optimal every success in taking home the trophy.

The first collaboration was so successful that we are extremely excited to announce a second Knowledge Transfer Partnership to continue developing the software, and maintain our excellent working relationship with such an exciting and innovative company.

 

Are you a talented Data Scientist looking for an exciting new opportunity? As part of this new partnership between UoR and Optimal Monitoring we are hiring a KTP Associate which you can apply for here.

This partnership received financial support from the Knowledge Transfer Partnerships (KTP) programme. KTP aims to help businesses to improve their competitiveness and productivity through the better use of knowledge, technology and skills that reside within the UK knowledge base. This successful Knowledge Transfer Partnership project, funded by UK Research and Innovation through Innovate UK, is part of the government’s Industrial Strategy.

Using maths and engineering to solve problems in food production, biotechnology, resource efficiency, water and sustainability.

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**Article pasted in entirety from https://ktn-uk.co.uk**

 

Could your industry challenge be solved with help from researchers in mathematics, statistics, engineering, computer science?

Data science, artificial intelligence, mathematical and statistical modelling at multi scale are key strengths of the UK research base, and can be transformational when applied to industrial problems.

Over the last few years KTN has joined forces with academic partners to harness the expertise of the research community and address nominated industry challenges through Mathematical Study Groups with Industry. At the first study group in January 2017, held in partnership with the University of Bath’s Institute for Mathematical Innovation (IMI), 40 mathematicians, engineers and computer scientists spent three days working on challenges that included improving cocoa yields for the chocolate industry, helping farmers to optimise the value of pigs, and refining the design of a hydroponics system for crop production. The following year KTN teamed up with the International Centre for Mathematical Sciences to run another successful study group.

The third study group, taking the theme of Clean and Sustainable Growth, will be held in partnership with the University of Nottingham on 29th April – 1st May 2019. Once again we will bring mathematical science researchers from across the UK to work on a number of industry problems over three intensive workshop days with the aim on producing solutions to industry problems from areas as diverse as agriculture, food production, biotechnology, resource efficiency, water and sustainability.

 

Pose a challenge to the Clean and Sustainable Growth Study Group.

The call is currently open for companies large and small to indicate their interest in posing a problem to the Study Group. By bringing your challenge in front of the study group you will have a unique opportunity to access to highly qualified researchers, with the potential to get new solutions provided in a written report.

Willie Thomson, Director of Innovent Technology, said of a previous study group:

“Taking part in the study group was a really positive experience. I found it a fun, fascinating process and it certainly has opened my eyes to the opportunities offered by applied mathematics to agriculture.”

If you would like to present a problem to the study group please contact Matt Butchers and Markus Owen detailing your interest and they will then work with you to develop it into a potential problem statement for the Study Group.

 

This Study Group is fully funded by the University of Nottingham Leverhulme Doctoral Scholarships programme “Modelling and Analytics for a Sustainable Society” with Support from  Innovate UK’s Knowledge Transfer Network; as such, there is no cost for industry to bring a problem to the Group.

So how does the study group format work?

On day one of the study group the selected representatives from industry will present their problems to the researchers in mathematics, statistics, engineering, computer science and related areas. They will then work together towards practical solutions, and first steps in approaching problems.

The academic participants will benefit from the access to real and novel industry problems, allowing them to expand their research portfolio. They also gain from this vital contact with industry and from meeting and working alongside academics from different research areas.

At this stage, the call is for companies to send problems to us – registration details for participants will be available soon.

For further information please contact Matt Butchers, Knowledge Transfer Manager, Industrial Mathematics.