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Universidade Nacional da Irlanda em Galway -- Ciência sem Fronteiras
PhD Project Template
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Use one form per project
Please complete & submit to international@nuigalway.ie as soon as possible, and by 27/11/2012
In your email, begin the subject line with [SWB] (be sure to use square brackets) to ensure that
your email is filed correctly. Emails will be automatically filed
PI name & contact details:
Dr. Owen Molloy
School:
Engineering and Informatics
Has project been agreed with head (or
nominee) of proposed registration school?
Research Centre / group affiliation:
Information Technology – Enterprise Computing
Research group / centre website:
http://www.it.nuigalway.ie/research.html
PI website / link to CV:
http://www.it.nuigalway.ie/omolloy/
Brief summary of PI research / research group / centre activity (2 or 3 lines max):
If you are already involved in relevant scholarly activities relating to Brazil, please mention them here.
Dr. Molloy has been involved in European and Irish research since 1990 and has participated as coordinator and partners in a number of EC projects. He has been PI and co-PI on 4 Enterprise Ireland
funded projects. His research interests are focused on e-Business, Business Process Monitoring and
Management and Business Intelligence.
Title & brief description of PhD project (suitable for publication on web):
Distributed Risk Assessment
In many supply chains, risk is associated with both quality of product and continuity of service and / or
production along the supply chain. Whether in the food and beverage industries, healthcare, manufacturing or
other industries, they rely on the application of risk management on a continual basis to identify and quantify
potential risk. The combination of multiple low-level risk can often manifest at multiple points in the supply
chain and cause serious problems in terms of cost and liability. For example in the soft drinks industry, raw
materials are combined at multiple stages with water, concentrates and other chemicals to produce products
which are then subject to long and complex logistical and storage conditions, all of which are potential root
causes of risk. Risk assessment techniques have evolved considerably in recent years to include modelling of
causal mechanisms and application of Bayesian networks in predictive analysis.
This research project will bring investigate the application of the above techniques in tandem with data
acquisition (building on our previous research in distributed business process monitoring) and analytics to
create a framework and tools for modelling, monitoring and analysis of risk in distributed supply chains. We
will work with our industry contacts in healthcare and the food and beverage industries to develop industry-
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Universidade Nacional da Irlanda em Galway -- Ciência sem Fronteiras
based case studies and prototype solutions.
Unique selling points of PhD project in NUI Galway:
The Information Technology discipline in NUI Galway is a highly multi-disciplinary environment, where a
number of groups (e.g. Medical Informatics, Machine Learning) are highly active in collaborative projects with
partners across the university and through international collaborations. Information Technology is the
University’s centre of excellence in Information Technology, and is a member of the College of Engineering &
Informatics. We offer a structured PhD programme, strong links with local and national industry in multiple
sectors, and access to a dedicated high-quality high performance computing and networking environment.
Name & contact details for project queries, if different from PI named above:
Please indicate the graduates of which disciplines that should apply:
Computing, Information Technology, Engineering, Mathematics,
Ciência sem Fronteiras / Science Without Borders Priority Area:
Please indicate the specific programme priority area under which the proposed PhD project fits- choose only
one (tick box):
Engineering and other technological areas
Pure and Natural Sciences (e.g. mathematics, physics, chemistry)/Physical Sciences (Mathematics,
Physics, Chemistry, Biology and Geosciences)
Health and Biomedical Sciences / Clinical, Pré-clinical and Health Sciences
Information and Communication Technologies (ICTs), Computing
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Aerospace
Pharmaceuticals
Sustainable Agricultural Production
Oil, Gas and Coal
Renewable Energy
Minerals, Minerals Technology
Biotechnology
Nanotechnology and New Materials
Technologies for Prevention and Mitigation of Natural Disasters
Bioprospecting and Biodiversity
Marine Sciences
Creative Industry
New technologies in constructive engineering
Please indicate which of the following applies to this project (referring to Science Without Borders
arrangements):
Suitable only as a Full PhD (Y/N): Y
Available to candidates seeking a Sandwich PhD arrangement (Y/N): N