Data Mining and Machine Learning Group

Current and recent research projects involving members of the group include:

Inverse design of periodic crystals, EPSRC New Horizons
Vitaliy Kurlin (2022-2024)
Royal Academy of Engineering Industrial Fellowship
Vitaliy Kurlin (2021-2023)
Robotic Cleansing (Unilever)
Shan Luo
ARRES PREVENT: Autonomous Road Repair Vehicle (Innovate UK)
Shan Luo (2021-2023)
ViTac: Visual-Tactile Synergy for Handling Flexible Materials, EPSRC
Shan Luo (2020-2023)
Post-Consumer Resin - Understanding the quality-performance linkage for packaging, NERC
Vitaliy Kurlin (2020-2023)
Royal Society Leverhulme Trust Senior Research Fellowship
Igor Potapov (2020-2021)
Fletchers Digital Legal Assistant Project (Innovate UK)
Danushka Bollegala, Frans Coenen, Katie Atkinson (2017-2020)
INFLUEnce-based decision-making in uNCertain Environments (ERC Starting Grant)
Frans Oliehoek (2018-2019)
Learning to Efficiently Plan in Flexible Distributed Organisations (EPSRC First Grant)
Frans Oliehoek (2017-2019)
Big Data Augmented Audience Verification, BluPrint, KTP (Innovate UK)
B Konev, F Coenen (2016-2018)
Riverview law contract maps project, KTP (Innovate UK)
Katie Atkinson, Frans Coenen, Danushka Bollegala (2015-2018)
Recognising Adverse Drug Reactions (WEB-RADR), EU
M Pirmohamed, Simon Maskell, Danushka Bollegala (2014-2017)
https://web-radr.eu/web-radr-1/
Supporting evidence-based public health interventions using text mining, MRC
Yannis Goulermas (2014-2017)
nDrites: enabling instrumentation connectivity , CSols KTP (Technology Strategy Board)
Katie Atkinson, Frans Coenen (2014-2017)

About the Data Mining and Machine Learning Group