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Education

  • 2021 - PRESENT: Faculty of Electrical Engineering, Czech Technical University in Prague
        DOCTORAL STUDIES | Informatics | Topic: Dynamic robotic routing problems
  • 2018 - 2021: Faculty of Electrical Engineering, Czech Technical University in Prague
        MASTER’S DEGRE | Open Informatics, Artificial Inteligence | Thesis: Generalized Routing Problems with Continuous Neighborhoods
  • 2019 - 2020: Escola Politècnica Superior d’Enginyeria de Vilanova i la Geltrú, Universitat Politècnica de Catalunya
        Erasmus+ program
  • 2015 - 2018: Faculty of Electrical Engineering, Czech Technical University in Prague
        BACHELOR’S DEGREE | Open Informatics, Software Systems | Thesis: Artificial Neural Networks in Solution of the Orienteering Problems

Community Services

  • Workshop organizator at Became a scientist for a day within the International Day of Women in Science - 2023
  • Member of organization committee of Student Conference on Planning in Artificial Intelligence and Robotics (PAIR) - 2022
  • Member of organization committee of International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+ 2022) - 2022
  • Speaker and workshop organizator at Became a scientist for a day within the International Day of Women in Science - 2022
  • PR Manager of Open Informatics study program - 2021 - 2023
  • Member of Academic Senate of Faculty of Electrical Engineering, Czech Teaching University in Prague - 2019 - 2021

Honors and Awards

  • 2021: Winner of the IT SPY - the best master thesis in the field of informatics and information technology in Czechia and Slovakia
  • 2021: Dean’s award for the best diploma thesis
  • 2021: Member of the 3nd placed team at Aviation ISAC-Collegiate CTF Competition
  • 2020: Member of the 2nd placed team at Aviation ISAC-Collegiate CTF Competition

Publications

  1. Deckerová, J., Kučerová K., Faigl, J., On Improvement Heuristic to Solutions of the Close Enough Traveling Salesman Problem in Environments with Obstacles, European Conference on Mobile Robots (ECMR), 2023, accepted.
  2. Deckerová, J., Váňa P., & Faigl, J., Combinatorial Lower Bounds for the Generalized Traveling Salesman Problem with Neighborhoods. Expert Systems with Applications, in review.
  3. Deckerová, J., Krátký, V. & Faigl, J., Traveling Salesman Problem with Neighborhoods on a Sphere in Reflectance Transformation Imaging Scenarios. Expert Systems with Applications, 198116814, 2022.
  4. Deckerová, J. & Faigl, J., Hopfield Neural Network in Solution of the Close Enough Orienteering Problem. In Proceedings of the 20th Conference Information Technologies - Applications and Theory (pp. 169-175), 2020.
  5. Faigl, J., Váňa, P. & Deckerová, J., Fast heuristics for the 3-D multi-goal path planning based on the generalized traveling salesman problem with neighborhoods. IEEE Robotics and Automation Letters, 4(3) (pp. 2439-2446), 2019.
  6. Faigl, J. & Deckerová, J., On Unsupervised Learning based Multi-Goal Path Planning for Visiting 3D Regions. In Proceedings of the 2018 4th International Conference on Robotics and Artificial Intelligence (pp. 45-50), 2018.

Media presence

Skills

  • Programming languages - C, C++, Julia, Python, Java, MATLBAB
  • Languages - Czech: Mother Tongue, English: C1 certificate, German: Basic, Spanish: Basic
  • Soft skills - Fast learning; Creative

Other

  • Podcast host - věda bez cenzury - Scientific podcast about PhD, academia, science, and life

Teaching Activities

  • Instructor - Programming in C - 2019 - present
    • Procedural Programming - 2021 - present
    • Artificial Inteligence in Robotics - 2021 - present
  • Student supervision - Master thesis - Lower Bound Estimates for Path Planning in Environment with Obstacles - 2022 - 2023

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