Afiliacja:

Uniwersytet Warszawski

E-mail:

lp.ud1734486106e.wum1734486106im@ik1734486106swezc1734486106akyrk1734486106

www:

www.mat.umk.pl/~mozgun/

Uprawiana tematyka naukowa i możliwe obszary współpracy interdyscyplinarnej:

matematyka, teoria sterowania, metody topologiczne

Najważniejsze publikacje:

• M. Meina, B. Celmer, K. Rykaczewski, Towards robust framework for on-line human activity reporting using accelerometer readings, In Dominik Slezak, Gerald Schaefer, Son T. Vuong, and Yoo-Sung Kim, editors, Active Media Technology – 10th International Conference, AMT 2014, Warsaw, Poland, August 11-14, 2014. Proceedings, volume 8610 of Lecture Notes in Computer Science, pages, 347-358, 2014. DOI: 10.1007/978-3-319-09912-5_29
• P. Przymus, K. Rykaczewski, R. Wiśniewski, Zebra mussels’ behaviour detection, extraction and classification using wavelets and kernel methods, Future Generation Computer Systems, 33:81-89, April 2014. Special Section on Applications of Intelligent Data and Knowledge Processing Technologies; Guest Editor: Dominik Slezak. DOI: 10.1016/j.future.2013.04.015
• K. Rykaczewski, Approximate controllability of differential inclusions in Hilbert spaces, Nonlinear Analysis Series A: Theory, Methods & Applications, 75(5):2701-2712, March 2012. DOI:10.1016/j.na.2011.10.049
• P. Przymus, K. Rykaczewski, R. Wiśniewski, Application of wavelets and kernel methods to detection and extraction of behaviours of freshwater mussels, Proceedings of Future Generation Information Technology, Jeju Island, Korea, Lecture Notes in Computer Science, Volume 7105/2011, pages 43-54. Springer, Berlin/Heidelberg, 2011. DOI: 10.1007/978-3-642-27142-7_7