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A list of my publications can be also found at my google scholar profile.

Journal or conference papers

Kurlin, Vitaliy, and Muszynski, Grzegorz. "Persistence-based resolution-independent meshes of superpixels", (accepted), Pattern Recognition Letters, 2019.

Rutz, Jonathan J., et al. (joint paper) "The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying Uncertainties in Atmospheric River Climatology", Journal of Geophysical Research: Atmospheres, 2019.

Muszynski, Grzegorz, et al. "Topological Methods for Pattern Detection in Climate Data", AGU Wiley Books, (book chapter, in press), 2019.

Kurlin, Vitaliy, and Muszynski, Grzegorz. "A Persistence-Based Approach to Automatic Detection of Line Segments in Images", 7th International Workshop, CTIC 2019, Springer, 2019.

Muszynski, Grzegorz, et al. "Topological Data Analysis and Machine Learning for Recognizing Atmospheric River Patterns in Large Climate Datasets", Geoscientific Model Development, 2019.

Muszynski, Grzegorz, et al. "Toward a topological pattern detection in fluid and climate simulation data", 8th International Workshop on Climate Informatics, National Center for Atmospheric Research (NCAR), 2018.

Shields, Christine A., et al. (joint paper) "Atmospheric River Tracking Method Intercomparison Project (ARTMIP): project goals and experimental design", Geoscientific Model Development, 2018.

Brzoza, Andrzej, and Muszynski, Grzegorz. "An approach to image segmentation based on shortest paths in graphs", 2017 International Conference on Systems, Signals and Image Processing (IWSSIP), IEEE, 2017.

International conferences and talks

"Topological Data Analysis and Machine Learning Methods for Pattern Detection in Spatiotemporal Climate Data", 14th International Meeting on Statistical Climatology (IMSC), Toulouse, France, June 2019, (keynote talk).

"Towards Topological and Machine Learning Pattern Detection Methods in Spatiotemporal Climate Data", Big Data Summit 2019: AI and HPC Convergence for Science, Lawrence BerkeleyNational Laboratory, Berkeley, CA, US, 9 July 2019.

"Towards Topological Pattern Detection Methods in Spatiotemporal Data", Linear Algebra and Optimization Seminar, (ICME), Stanford University, CA, US, December 2019, (invited).

"Towards topological pattern detection methods in spatiotemporal data", Topology Seminar, Colorado State University, US, 18 September 2018, (invited).

"Topological Analysis and Machine Learning for Detecting Atmospheric River Patterns in a Climate Model Output", Applied and Computational Topology, sponsored by the London Mathematical Society (LMS) and the Joining The Dots programme, University of Southampton, United Kingdom, 30 April 2018, (invited).

"Topological Analysis and Machine Learning for Detecting Weather Patterns in Climate Model Output", Algorithms, Computational Geometry and Topology seminar at the Institute of Science and Technology Austria (IST Austria), Vienna, Austria, 11 April 2018, (invited).

"Topological Data Analysis and Machine Learning for Classifying Atmospheric River Patterns in Large Climate Datasets", Big data and machine learning in geosciences session at the European Geosciences Union General Assembly (EGU), Vienna, Austria, 9 April 2018.

"Using Disjoint-Set Data Structure In The Study Of Extreme Weather Events", Learning Algorithms session at the British Colloquium for Theoretical Computer Science at Royal Holloway, University of London, United Kingdom, 26 March 2018.

"Topological Methods for Pattern Detection in Climate Data", Big Data Analytics session at 2016 American Geophysical Union Fall Meeting in San Francisco, CA, US, 12 December 2016.

Poster presentations

"Towards Topological Pattern Detection Methods in Climate Data: Application to Atmospheric Blocking Events", Climate Informatics: Methods and Applications I, AGU Fall meeting, Washington, D.C. United States, 11 December 2018.

"Topological data analyses and machine learning for detection, classification and characterization of atmospheric rivers", An Object-Oriented View of Atmospheric Science: Feature Detection and Characterization in Big Data session at the AGU (American Geophysical Union) Fall meeting in New Orleans, United States, 11 December 2017.

"On Topological Approach to Atmospheric Rivers Analysis", Computing Sciences Summer Student poster session at Lawrence Berkeley Lab, Berkeley, California, United States, 10 August 2017.

"Topological Analysis Of Climate Data For Detecting Atmospheric Rivers", Poster presentation at the Conference on Applied and Computational Algebraic Topology at Hausdorff Research Institute for Mathematics, Bonn, Germany, 2-6 May 2017.

"Topological Analysis Of Climate Data For Detecting Atmospheric Rivers", Spring School on Applied and Computational Algebraic Topology at Hausdorff Research Institute for Mathematics, Bonn, Germany, 24-28 April 2017.

"Statistical Relationships Between the Subtropical Jet Stream and Extra-tropical Cyclones", Atmospheric Circulation and Hydrological Cycle under a Changing Climate: Monsoons, Storm Tracks, and the ITCZ session at 2016 American Geophysical Union Fall Meeting in San Francisco, CA, US, 16 December 2016.