<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-03T15:52:43Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/52BCA5ED-CE12-4085-8683-5D7CCC2F4EB2" ns1:id="52BCA5ED-CE12-4085-8683-5D7CCC2F4EB2"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/BDAFFC96-E80F-40F8-9E97-ACAC6CBBE1E8" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/75632335-EC1B-4055-9C76-37EDCEDA62CE" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/BDAFFC96-E80F-40F8-9E97-ACAC6CBBE1E8" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2025-06-01T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/6D5566B3-C7FD-426A-A074-CF2FCD3BD552" ns1:rel="FUND" ns1:start="2023-02-02T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">10030067</ns2:identifier></ns2:identifiers><ns2:title>University of Leeds and Sarclad KTP 21_22 R5</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Knowledge Transfer Partnership</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>To develop and commercialise a first-in-sector software for condition monitoring of continuous casting process in steel making, using advanced data analytics, machine learning and decision sciences approaches. The software will have in-build diagnostic and predictive capability for automated process control which will significantly improve casting productivity.</ns2:abstractText></ns2:project>