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University of Helsinki Department of Computer Science
 

Department of Computer Science

Petteri Nurmi, PhD

Post-Doctoral Researcher

Helsinki Institute for Information Technology

P. O. Box 68 (Gustaf Hällströmin katu 2B) FI-00014 University of Helsinki, Finland

Co-leader Adaptive Computing research group.

My PhD Thesis: Identifying Meaningful Places

Contact Information

Room: A311
Phone: +358 9 191 51179
Fax: +358 9 191 51120
Mobile: +358 (0)50 3237687
Email: petteri.nurmi(at)cs.helsinki.fi

Fields of Interest

My main research interest is intelligent mobile systems. Much of our work deals with improving the usability of mobile devices by adapting to the user and his/her current situation. Examples of our work include activity recognition from accelerometer data, identifying meaningful places / significant locations from user's location traces and recommendation techniques for mobile applications.

My secondary research topic is related to reputation systems, i.e., mechanisms that aggregrate feedback from users and provide summaries about other users' behavior. In terms of reputation systems, we have been investigating issues such as simulation of reputation systems and evaluating the effectiveness of reputation visualizations. We have also worked on developing novel reputation systems.

Selected publications

Full list of publications with links to online versions can be found at our research group's webpage publication page.

  - P. Nurmi, S. Bhattacharya, “Identifying Meaningful Places – The Nonparametric Way”, in Proceedings of the 6th International Conference on Pervasive Computing (Pervasive’08, Sydney, Australia), Springer-Verlag, 2008.

  - J. Kukkonen, E. Lagerspetz, P. Nurmi, M. Anderson, “BeTelGeuse: A Platform for Gathering and Processing Situational Data”, IEEE Pervasive Computing, 2009

  - P. Nurmi, S. Bhattcharya, J. Kukkonen, “A Grid-Based Algorithm for On-Device GSM Positioning”, in Proceedings of the 12th International Conference on Ubiquitous Computing (Ubicomp, Copenhagen, September 2010), ACM, 2010.

  - P. Nurmi, A. Forsblom, P. Floreen, “Grocery Product Recommendations from Natural Language Inputs”, in Proceedings of the 1st and 17th International Conference on User Modeling, Adaptation and Personalization (UMAP, Trento, Italy), Springer, 2009.

  - P. Nurmi, J. Koolwaaij, “Identifying Meaningful Locations”, in Proceedings of the 3rd Annual International Conference on Mobile and Ubiquitous Systems: Networks and Services (MobiQuitous, San Jose, CA, July, 2006), IEEE Computer Society, 2006.

  - P. Nurmi, “Perseus – A Personalized Reputation System”, in Proceedings of the IEEE/WIC/ACM Conference on Web Intelligence (WI’07, October, 2007), IEEE Computer Society, 2007.

Software

- BeTelGeuse: BeTelGeuse is a context data gathering tool for Bluetooth-capable platforms and sensor devices. It has been designed to be extendable to new sensors and to run on several platforms. BeTelGeuse does not analyze the collected data, but it offers ways for plugins and other programs to use the data. BeTelGeuse is published under the GNU Lesser General Public Licence (LGPL).

Professional Activities

- GPC 2011 Program Committee Member

- PECCS 2011 Program Committee Member

- IUI 2011 Program Committee Member

- Pervasive 2010 Program Committee Member

- Pervasive 2010 Workshop Co-chair

- MobileHCI 2009 Program Committee Member

Events

- Workshop on Location Awareness for Mixed and Dual Reality (LAMDa), in conjunction with IUI 2011

- Pervasive 2010, 17 - 20 May 2010, Helsinki, Finland

- Mobile Living Labs 09: Methods and Tools for Evaluation in the Wild (MobileHCI'09 Workshop)

- 2nd International Workshop on Improved Mobile User Interaction (IMUx 2008)

To be held in conjunction with the 6th International Conference on Pervasive Computing (Pervasive 2008), May 19, 2008, Sydney, NSW, Australia.

- Workshop on Improved Mobile User Experience (IMUx 2007)

Held in conjunction with the 5th International Conference on Pervasive Computing (Pervasive 2007), May 13, 2007, Toronto, Ontario, Canada.

Teaching

- Seminar on User Modeling (autumn 2007)
- Context-aware computing (autumn 2005)
- Software Engineering Project: Context Server, Version 2 (CoSe2), 2005
- Software Engineering Project: Context Server (CoSe), 2004
- Classification (autumn 2004)
- Database Application Project (spring 2004)

I also supervise several MSc theses in the areas of ubiquitous computing, user modeling and game theory.