Brigitte Trousse

Contact address

INRIA Sophia Antipolis
AxIS Research Project-Team
2004, Route Des Lucioles BP93
06902 Sophia Antipolis Cedex

Tel:+33 4 92 38 77 45 |

Personnal Page

In General

I hold a Ph.D. in Computer Science (1989, Artificial Intelligence and Computer-Aided Design), a D.E.S.S diploma in Software Engineering (1985), and a Master degree in Mathematics (1980), all from the University of Nice-Sophia-Antipolis ,  France.

I was belonging in the permanent staff of INRIA Sophia-Antipolis from 1990. After being a member of the SECOIA team (ex-SMECI team) then the scientific leader of the AID  Research team (Artificial Intelligence and Design Group) of INRIA-Sophia Antipolis (French National Institute for Research in Computer Science and Control), I was the scientific leader of the AxIS  research-project Team  (november 2001, end of 2013). Before belonging to the permanent staff of INRIA, i held a post-doctoral research position (1990) at the SECOIA team and a PH-D student position (1987-1989) at the SMECI team at INRIA Sophia-Antipolis.

And before joining INRIA, I held a permanent Professor position of Mathematics in a High School in Nice (1980-1984), having a teaching degree in Mathematics and Physical Education for High Schools in Nice (France, 1980).


For the list of  all my publications,  click here

Google scholar : citations  researchgate : here

Zoom of three contributions

1.  M. Jaczynski and B. Trousse. BROADWAY : A World Wide Web Browsing Advisor Reusing Past Navigations from a Group of Users. In Proceedings of the Third UK Case-Based Reasoning Workshop (UKCBR3), Manchester, UK, September 9, 1997.

Topic (Case Based Reasoning,  Web search) : linked to Jaczynski’s thesis on CBR, reuse of time-extended situations. Development of the Broadway approach for personalised support tools for   Web information browsing and search  + CBR*tools the first object-oriented framework in CBR (based on Gamma design patterns). Many applications and contracts

2. D. Tanasa, B. Trousse. Advanced Data Preprocessing for Intersites Web Usage Mining, in: IEEE Intelligent Systems, 19(2), p. 59–65, 2004.

Topic (Web usage mining): linked to tanasa’s thesis, the second thesis adressing Web Log preprocessing after Cooley’one (2000),  many applications and contracts

3.   B. Trousse, C. Tiffon, M. Pallot.  Co-creating Environmental Services based on Pollution Citizen Sensing. Interdisciplinary Studies Journal - Vol 3, Number 4, 2014, Laurea University of Applied  Sciences. 

Topic (Living Lab, UX model, data mining)– article reporting MyGreenservices (MGS), a sucessful and original project based on the Living Lab approach  related to Air Quality and Noise in 2010-2013 (realised during the FP7 Elliot collaborative project).  This project was also a good illustration of what is a living lab process with two cycles of the design of MGS platform  and of the value co-creation by citizen. Finally it was a research-action project  with the definition of a new Ideation method (dedicated to IoT based services),  the definition of an hybrid model for measuring UX based on an ethnographical and usage mining approach  and more classically it provided a new applicative context offering the validation/application of some AxIS researches on data mining methods

Research Interests

Until 2001 : Artificial Intelligence and Design, (Re)Design of Adaptive Web sites,  Adaptive Recommender Systems,  Web Usage Mining,  Case-based reasoning, Constraint-based programming, Web Semantics, Computer-Supported Cooperative Work, Viepwoint Managment in Design of Complex systems, Argumentative and topoi-based reasoning

Human interfaces, Recommendations for supporting  Search  and Navigation on the Web and within an Information systems

And applications of the above on the Web and for design groupware.

For the AID publications  until 2001,  click here.


After 2001 : Usage mining,  Web usage mining, Web Log preprocessing,  Data Mining, Hierarchical Clustering, Sequential pattern extraction, ontologies & data mining (Rationale in decision making), Hybrid Usage Mining (mixing ontologies & ethnography & data mining) applied in various applications, design of  user centered Web tools for supporting transportation, ideation methods, user experience analysis, analysis of behaviour changes, research on living labs, smart cities…

Brigitte Trousse

Last modified: Wed Oct 13 15:05:54 MEST 2004