Research interests and selected publications:

Remote sensing data analysis
Automatic extraction of control reference points from heterogeneous, multi-modal imagery (Lidar, optical satellite and aerial, SAR). Computational Intelligence methods for scene classification and object detection. Adaptive multi-scale analysis for spatiotemporal systems.

Zaremba, M., Automated Mapping of Hydrographic Systems from Satellite Imagery Using Self-Organizing Maps and Principal Curves. In: Self Organizing Maps, New Achievements, InTech, Vienna, 2011, 339-354.

Palenichka, R., A. Lakhssassi and M.B. Zaremba, Spatiotemporal Attention Operator Using Isotropic Contrast and Regional Homogeneity. Journal of Electronic Imaging, 20(2), 2011, 023018-1 - 14.

Palenichka, R., A. Lakhssassi and M. B. Zaremba, Adaptive Multi-Scale Segmentation of Surface Data Using Unsupervised Learning of Seed Positions. Engineering Applications of Artificial Intelligence, 24, 2011, 822-832.

Palenichka, R., T. Hirose, A. Lakhssassi, M. Petrou, M.B. Zaremba. Sea ice segmentation of SAR imagery using multi-temporal and multi-scale feature extraction. Int. Conf. SPACETECH 2011, Athens, Greece. IEEE Comp. Society, 2011.

Palenichka, R.M. and M.B. Zaremba, Automatic Extraction of Control Points for the Registration of Optical Satellite and LiDAR Images. IEEE Transactions on Geoscience and Remote Sensing, 48(7), 2010, 2864-2879.

Zaremba, M.B., Télédétection - au coeur des systèmes intelligents. Sixième Conférence Internationale Francophone d'Automatique (CIFA 2010). Nancy, France, June 2-4, 2010.

Palenichka, R., A. Lakhssassi and M.B. Zaremba, Transformation-invariant extraction of multi-location image features from remote sensing imagery. The 30th IEEE Int. Geoscience and Remote Sensing Symp. (GRSS 2010), Honolulu, Hawaii, July 25-30, 2010.

Zaremba, M.B., Remote Sensing Applications – New Vistas for Measurement and Control. Journal of Automation, Mobile Robotics & Intelligent Systems, 2(3), 2008, 3-12.

Palenichka, R.M. and M.B. Zaremba, Multiscale Isotropic Matched Filtering for Individual Tree Detection in LiDAR Images. IEEE Transactions on Geoscience and Remote Sensing, 45(12), 2007, 3944-3956.

Intelligent Manufacturing Systems
Design of manufacturing systems with distributed processes competing for access to shared resources. Decision support procedures based on Constraint Logic Programming and Computational Intelligence techniques.

Zaremba, M.B., Intelligence in Manufacturing Systems: The Pattern Recognition Perspective. Control & Cybernetics. 39(1), 2010, 233-258.

Halal, F. and M.B. Zaremba, Hybrid Geno-Fuzzy Control for Deliberative-Reactive Navigation. IFAC Workshop on Intelligent Control Systems (WICS 2010), Sinaia, Romania, Sept. 29 – Oct. 2, 2010.

Banaszak, Z.A., M.B. Zaremba, and W. Muszyński, Constraint programming for project-driven manufacturing. International Journal of Production Economics. 120(2), 2009, 463-475.

Banaszak, Z.A. and M.B. Zaremba, Project-Driven Planning and Scheduling Support for Virtual Manufacturing. Journal of Intelligent Manufacturing, 17/6, 2006, 641-652.

Zaremba, M.B. and R.M. Palenichka, Relevance-based Content Modeling and Object Retrieval from Multi-source Image Data, Concurrent Engineering: Research and Applications, 13(2), 2005, 155-166.

Zaremba, M.B., Remote Sensing Applications – New Vistas for Measurement and Control. Proc. 12 Conf. AUTOMATION 2008, Warsaw, Poland, April 2-4, 2008, 69-81.

Zaremba, M.B. Intelligence in Manufacturing Systems. The 9th IFAC Workshop on Intelligent Manufacturing Systems (IMS'08), Szczecin, Poland, October 9-10, 2008.

Zaremba, M.B. and G. Morel, Integration and Control of Intelligence in Distributed Manufacturing. Journal of Intelligent Manufacturing, 14(1), 2003, 25-42.

Morel G., Panetto H., Zaremba M.B., Mayer F., Manufacturing Enterprise Control and Management System Engineering: Paradigms and Open Issues. IFAC Annual Reviews in Control. 27(2), 2003, 199-209.

Iterative Learning Control (ILC).
Convergence analysis and algorithms for 2-D Iterative Learning Control. Learning algorithms for robotics applications.

Tayebi, A., S. Abdul, M. B. Zaremba, and Y. Ye, Robust Iterative Learning Control Design: Application to a Robot Manipulator. IEEE/ASME Transactions on Mechatronics, 13(5), 2008, 608-613.

Tayebi, A., Zaremba, M.B., Robust Iterative Learning Control Design is Straightforward for Uncertain LTI Systems Satisfying the Robust Performance Condition. IEEE Transactions on Automatic Control. 48(1), 2003, pp. 101-106.

Tayebi, A., Zaremba, M.B., Iterative Learning Control for Nonlinear Systems Described by a Blended Multiple Model Representation. International Journal of Control, 75(16/17), 2002, 1376-1384.

Kurek, J.E. and M.B. Zaremba, Iterative Learning Control Synthesis Based on 2-D System Theory, IEEE Trans. Automatic Control, 38(1), 1993