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Title: Nessun titolo diapositiva


1
Coordinator Prof. Vincenzo Capasso
TRAINING
RATIONALE
The training of young researchers, who will
temporarily work in industry, needs concerted
action. Means will be investigated to allow
both graduate and post graduate students getting
a working experience in industry. A very useful
means for this, is the organisation of Study
Groups, where companies have their problem
investigated by a multidisciplinary team.
Finally, it is anticipated to have practical
knowledge brought to academia by visits of
industrial experts, thus bringing expert
knowledge to the industry, in particular SME.
2
Training Committee
Vincenzo Capasso Coordinator
S. Mazzullo F. Triebsch M. Bernadou /
J.Cagnol A. Fitt J. Gravesen G. Duffet L.
Valavani M. Garbey
3
KEY ACTIONS
  • AWARENESS SEMINARS
  • To increase awareness about recent advances in
    scientific computing (methods and related
    software) and their potentials for industrial
    applications.
  • TARGET
  • SMEs personnel (priority) and
    young graduates

MODELLING SEMINARS
To train recent graduates in interdisciplinary
(and possibly multinational) team work
centred on real (realistic) applications of
recent advances in scientific computing to
industrial problems. TARGET
young graduates (priority) and industry
personnel
4
KEY ACTIONS
SUMMER SCHOOLS
To train young graduates on recent advances
in mathematical methods and scientific computing
for industrial applications. TARGET young
graduates
STUDY GROUPS
To establish working groups of providers and
users of mathematical methods on specific and
concrete industrial problems. Testing on real
data and definition of benchmarks will be
considered. TARGET Academic and industrial
researchers
5
PROPOSED ACTIVITIES
AWARENESS SEMINARS Scientific
discovery, industrial invention and
market innovation the three ingredients of
technology driven companies Algorith
ms for advanced computing
Architectures Distributed computing
Mathematics of food industry
. . . . . .
6
PROPOSED ACTIVITIES
SUMMER SCHOOLS
Multidisciplinary methods for optimization
Active control of structures Flows through
porous media, random
geometries, etc. Mathematics of
Finance . . . . . .

7
PROPOSED ACTIVITIES
STUDY GROUPS (AND
MODELLING SEMINARS) Material
processes Steel Glass Textiles Polymers
Paper Food Aeronautics Transport Telecommunic
ations Energy Environment Bioengineering and
Medicine Chemistry . . . . . .
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