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Joni Pajarinen

M.Sc. (Tech.), Researcher

Office:
Room B330 in Computer Science Building,
Konemiehentie 2, Espoo, Finland
Postal Address:
Aalto University School of Science,
Department of Information and Computer Science,
P.O. Box 15400, FI-00076 Aalto, Finland
Telephone:
+358 9 470 23749
Email:
firstname.lastname@aalto.fi

About Me

I have completed my Doctoral degree and work currently as a Postdoc in the Intelligent Robotics group at Aalto University.

At the Department of Information and Computer Science I worked on my thesis "Planning under Uncertainty for Large-Scale Problems with Applications to Wireless Networking" with D.Sc. Jaakko Peltonen as my instructor and Prof. Erkki Oja as my supervisor. I worked in a wireless network project with D.Sc. Ari Hottinen from Nokia Research Center.

My research interests include artificial intelligence, decision making under uncertainty, multi-agent systems, machine learning, and applying AI and machine learning techniques to real world problems (robotics, wireless networks).

Publications

2011

Joni Pajarinen and Jaakko Peltonen. Periodic Finite State Controllers for Efficient POMDP and DEC-POMDP Planning. In Proceedings of the 25th Annual Conference on Neural Information Processing Systems (NIPS), pages 2636–2644, December 2011.
PDF (148 kB)
Info
The original publication is available at books.nips.cc ...
Joni Pajarinen and Jaakko Peltonen. Efficient Planning for Factored Infinite-Horizon DEC-POMDPs. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI), pages 325–331. AAAI Press, July 2011.
Info
The original publication is available at ijcai.org ...
Joni Pajarinen, Jaakko Peltonen, and Mikko A. Uusitalo. Fault tolerant machine learning for nanoscale cognitive radio. Neurocomputing, 74(5):753 – 764, 2011.
PDF (297 kB)
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The original publication is available at dx.doi.org ...

2010

Joni Pajarinen, Jaakko Peltonen, Ari Hottinen, and Mikko Uusitalo. Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations. In J. Balcázar, F. Bonchi, A. Gionis, and M. Sebag, editors, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), volume 6323 of Lecture Notes in Computer Science, pages 1–16. Springer Berlin / Heidelberg, 2010.
PDF (195 kB)
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The original publication is available at dx.doi.org ...

2009

Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo, and Ari Hottinen. Latent state models of primary user behavior for opportunistic spectrum access. In Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Tokyo, Japan, September 2009.
PDF (176 kB)
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The original publication is available at dx.doi.org ...

2008

Jaakko Peltonen, Mikko A. Uusitalo, and Joni Pajarinen. Nano-scale fault tolerant machine learning for cognitive radio. In Jose C. Principe, Deniz Erdogmus, and Tülay Adali, editors, Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pages 163–168, Cancún, Mexico, October 2008.
PDF (145 kB)
Info
The original publication is available at dx.doi.org ...