Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Physics 2
Seminars, Brno University of Technology, Institute of Physical Engineering and Nanotechnology, 2022
Theoretical seminars for introductory physics course (electricity & magnetism).
Physics 1
Seminars, Brno University of Technology, Institute of Physical Engineering and Nanotechnology, 2022
Theoretical seminars for introductory physics course (classical mechanics & thermodynamics).
PaVE (Guest lectures)
Seminars, Brno University of Technology, Institute of Physical Engineering and Nanotechnology, 2023
2-3 guest lectures that cover introduction to Artificial Neural Networks (ANN) and ANN applications in physics. The last lecture will be on practical implementation in Python (topics are selected on the go; past years included: backprop. without libraries, object-oriented ANN code from scratch, classifier using Keras, basic data processing pipeline for spectroscopic data, …)
LIBS spectra processing
tutorial, CEITEC, 2023
J. Hruska and I created this tutorial as an introduction to processing of spectroscopic data in Python. It covers everything from loading the data, data exploration and visualization, preprocessing, feature extraction, up to classification. Several techniques are used; PCA, t-SNE, random forest, SVM, MLP.