Research interests
- Artificial Intelligence and Machine Learning
- Adaptive systems and adaptive control
- Biometrics
I am particularly interested in methods inspired by biology, such as SWARM Intelligence and Reinforcement Learning. I also have some experience with other machine learning methods (both supervised and unsupervised), in particular in applications like business intelligence and data analysis.
One of my research goals is to design systems that have the ability to adapt to their environment. My PhD dissertation may be a prominent example - I designed AntHocGeo, an ant routing algorithm for ad-hoc networks. AntHocGeo implements innovative knowledge representation and management schemes in order to improve the adaptation capabilities of artificial ants in the dynamically changing environment.
I am also interested in developing and implementing biometric methods. Recently, I have been working on on-line signature verification and identification methodologies based on the Dynamic Time Warping technique.
Participation in projects
- 2009 - 2011: The Platform for secure implementation of biometric systems
- 2009 - 2010: Learning mechanisms with geographical localization of knowledge for adaptive routing control in ad-hoc networks
- 2007 - 2008: Heterogeneous network of cooperating mobile robots (second edition)
- 2006: Heterogeneous network of cooperating mobile robots
The project "The Platform for secure implementation of biometric systems for verification and identification" is conducted in 7th competition for development projects in the field of security and country's defence, of the Ministry of Science and Higher Education. Project No. O R00 0026 07, 2009-2011. link
PhD grant, founded by the Ministry of Science and Higher Education.
Warsaw University of Technology research grant (continuation). link (in polish)
Warsaw University of Technology research grant.