• We are catalysts for innovation, commercialising next-generation technologies developed by

    The University of Manchester’s world-class research base

    • £360m+ invested by venture funders

    • 40+ spin-out companies created

    • 7,500+ licences and IP partnerships concluded

    • 4,000+ invention disclosures received

    • £115m+ IP and R&D revenue generated for the University

  • We are catalysts for innovation, commercialising next-generation technologies developed by The University of Manchester’s world-class research base

    • £300m+ invested by venture funders since 2004

    • 40+ spin-out companies created

    • 4,800+

      licences and IP partnerships concluded

    • 3,700+ invention disclosures received

    • 1,300+ jobs generated across various industry sectors

    • £105m+ IP and R&D revenue generated for the University

Archive for July, 2015

EPSRC Healthcare Technologies NetworkPlus

You may already be aware of EPSRC’s recently announced call for Healthcare Technologies NetworkPlus proposals. The aim is to build UK-wide networks to address the recently announced Healthcare Technologies Grand Challenges.  EPSRC expects to fund 8 networks, each of which must have representation from several disciplines and institutions. The funding available is around £600k per network, split between community-building activities and feasibility projects (the Plus component). The closing date for proposals is 6th October 2015, with a compulsory expression of interest deadline of 8th September.

These networks are likely to be important in shaping the future EPSRC funding landscape in Healthcare Technologies, so it is important for the University to be involved. Please think about the possibility of leading a network and/or contributing to one led by another university. There is no limit on the number of applications that can be submitted, but the University will be coordinating responses to this call with a view to: providing help and advice, avoiding overlap, avoiding underlap (failing to draw fully on relevant strengths), and preparing institutional letters of support.

If you are interested in leading a proposal, or participating in one led by another University, please complete the online internal expression of interest form by 27th July 2015. If you have any queries, please contact katherine.boylan@manchester.ac.uk.

NB. The call document makes it clear that EPSRC will not fund NetworkPlus proposals that overlap significantly with existing EPSRC-NIHR HTC Partnership Networks. These are not easy to find so we have provided brief details here.

Award-winning University of Manchester software project teams up with Cloud Enterprise Software Limited

TRAM (Textual Analysis into Analysis Models) is award-winning novel software which automates a key stage in the process of developing business software systems. It converts user requirements, written in plain English, to analysis models that can be used directly as the basis for software development.

The software has been developed by PhD students Erol-Valeriu Chioasca and Keletso Joel Letsholo with supervisor Dr. Liping Zhao from The University of Manchester’s Software Systems Research Group with business and IP management by UMIP.

To help turn the research project into a cloud solution, TRAM has enlisted Cloud Enterprise Software Limited based on Manchester Science Park. The company will collaborate with the TRAM team to further validate and develop the software so that it can be implemented as a transferable, stand-alone product.

Wai Lau, director of Cloud Enterprise Software Limited, comments: “Cloud Enterprise is all about enabling great technology to get online and achieve commercial success. It is a privilege to be collaborating with The University of Manchester in bringing its latest technology to market. TRAM is one of the most innovative technologies around. With global reach online it has very exciting times ahead.”

TRAM’s Erol Chioasca comments: “We are very excited about working with UMIP and collaborating with Cloud Enterprise to bring this technology to market. Here at TRAM we strive to create smarter, more collaborative automation software that doesn’t constrain its users but instead allows them the freedom to communicate and complete tasks better, more efficiently.”

Existing tools that convert requirements into analysis models typically work within a deliberately constrained framework using templates and rules. TRAM is different, in that it can deal with entirely unstructured, unrestricted natural language. This means that the statements of requirements can be written by anyone, not necessarily a business systems analyst or IT expert, thus saving both time and money.

In May, TRAM won the Research Category of the University’s Venture Further Competition