Alexander Felfernig is a professor at Graz University of Technology in Austria who will contribute to the AGILE project. His research focuses on recommender systems, configuration systems, and model-based diagnosis. For AGILE, he and his research group will help develop recommendation and configuration technologies for IoT scenarios, intelligent user interfaces, and knowledge representation models. The project offers opportunities for new applications, algorithms, courses, and publications for TU Graz.

1. Graz University of
Technology (TU Graz)
ALEXANDER FELFERNIG
AGILE KICK-OFF MEETING, 12-14 January 2016, Trento IT

2. Alexander Felfernig
§PhD from University of Klagenfurt, Austria
§Professor at Graz University of Technology, Austria,
since 2009, www.felfernig.eu
§Institute for Software Technology, Applied Software
Engineering Research Group (ASE)
§Research focus: recommender systems, configuration
systems, model-based diagnosis
§Related projects on national as well as EU level
§Thanks for the possibility to cooperate in AGILE!

3. Graz University of
Technology (TU Graz)
§Faculty of Computer Science and Biomedical Technology
(11 institutes)
§Institute for Software Technology (3 professors, 2 associate
professors, 4 postdocs, and ~15 PhD students)
§Applied Software Engineering Research Group (ASE):
1 professor, 6 PhD students, 3 student project assistants
AGILE KICK-OFF MEETING, 12-14 January 2016, Trento IT

4. Persons in AGILE
Prof. Alexander
Felfernig
(Management,
Research)
AGILE KICK-OFF MEETING, 12-14 January 2016, Trento IT
DI Martin Stettinger
(Research)
Michael Jeran
(Development)
Arda Akcay
(Research,
Development)

5. Applied Software
Engineering (ASE)
§Recommender Systems:
recommendation of simple and complex
items, applications in the areas of
financial services, software engineering,
and group decision making.
§Configuration Systems: configuration of
products and services; applied to both,
hardware as well as software
components and services.
§Model-based Diagnosis: diagnosis (and
repair) of faulty hardware and software
components, and user requirements.
AGILE KICK-OFF MEETING, 12-14 January 2016, Trento IT

6. AGILE Contributions
§WP2 – Analysis of scenarios relevant for recommendation &
configuration support (T2.1). Development of recommendation
components (T2.3).
§WP3 – Interface definitions for recommendation & configuration
algorithms (T3.2). Implementation of recommendation &
configuration components (T3.3, T3.4, T3.5).
§WP4 – Further development of recommendation & configuration
technologies in the context of the integration of public cloud
infrastructures (T4.2, T4.3).
§WP7 – Publication/presentation of project results.
§WP9 – Project management.
AGILE KICK-OFF MEETING, 12-14 January 2016, Trento IT

7. AGILE Expected Outcome
§Publicationsin conferences and journals.
§New recommendation & configuration
technologiesfor IoT scenarios.
§Intelligent user interfaces for IoT related
recommendation & configuration functionalities.
§AnyTime reconfigurationalgorithms.
§Intelligent knowledge representationfor modeling
variability in the context of IoT scenarios.
AGILE KICK-OFF MEETING, 12-14 January 2016, Trento IT

8. AGILE Potentials for TU Graz
§New application domainsfor recommendation and
configuration technologies.
§New recommendation & configuration algorithms.
§Potentials for new courses.
§Potentials for startups.
§Plenty of publication opportunities.
AGILE KICK-OFF MEETING, 12-14 January 2016, Trento IT

9. Risks
§Clear understandingof the relevant scenarios in
order to assure development of appropriate
recommendation/configuration approaches.
AGILE KICK-OFF MEETING, 12-14 January 2016, Trento IT

10. Remarks
§Configuration: CHOCO constraint library http://choco-
solver.org/(BSD license)
§Recommendation: technologies based on Apache
Mahout http://mahout.apache.org(Apache license)
§Location of data has to be clarified.
§Centralized component preferred.
§Runtime vs. design time recommendation support.
AGILE KICK-OFF MEETING, 12-14 January 2016, Trento IT

11. Thank You!
AGILE KICK-OFF MEETING, 12-14 January 2016, Trento IT