A central ambition of the network is to foster a climate of inter-disciplinary cross-fertilisation and the development of digital manufacturing researchers’ skills. We do this by offering a variety of different opportunities, including:
Early Career Researcher Placement Scheme
Winter Workshop 2019
“Smart Industry Workshop – Recent Advances in Industrial Digitalisation, Robotics and Automation”
The workshop was organised by Professor Ahmad Lotfi and Mr. Pedro Machado and took place from 9-11 January 2019 at Nottingham Trent University. It featured 15 keynote talks by established researchers and also provided an opportunity for PhD and early career researchers to share their research experiences. Details of speakers’ topics and biographies can be found in the programme document, as well as a list of participants.
smart industry workshop programme
The workshop was successful in achieving its aim to present recent advances in industrial digitalisation, robotics and automation to PhD students and early career researchers working in related fields. Participants had a great opportunity for learning, discussion and networking with fellow researchers from other institutes. The event triggered some follow-up meetings between speakers and participants for preparing proposals targeting UK funding opportunities.
Summer School 2017
The 2017 Summer School “The Machine Learning in Manufacturing Summer School: Addressing the Challenges of Industry 4.0”, which took place from 12-15 September 2017 at Warwick Manufacturing Group, University of Warwick, was a collaboration between Professor Darek Ceglarek from Warwick Manufacturing Group and Dr Rajesh Ransing from Swansea University. The Summer School was also kindly sponsored by Natural Computing Applications Forum (NCAF) and Neural Computing and Applications (NC&A) Journal. Amongst the topics explored were Predictive Analytics and Data Visualisation in Manufacturing; Supply Chain Management and Connected Enterprise; Automated Inspection and Image Processing; and Human-Robot and Robot-Robot Interactions.
