Education

  • 2021 - PRESENT: Faculty of Electrical Engineering, Czech Technical University in Prague
    PhD | Informatics | Thesis: Dynamic robotic routing problem
  • 2018 - 2021: Faculty of Electrical Engineering, Czech Technical University in Prague
    Master degree | 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 degree | Open Informatics, Software Systems | Thesis: Artificial Neural Networks in Solution of the Orienteering Problems

Honors and Awards

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

Publications

  1. Deckerová, Jindřiška and Faigl, Jan, Unsupervised Learning-Based Data Collection Planning with Dubins Vehicle and Constrained Data Retrieving Time, Advances in Self-Organizing Maps, Learning Vector Quantization, Interpretable Machine Learning, and Beyond, (pp. 11–21) , 2024 .
  2. Deckerová, Jindřiška and Váňa, Petr and Faigl, Jan, Combinatorial lower bounds for the Generalized Traveling Salesman Problem with Neighborhoods, Expert Systems with Applications, 125185258 , 2024 .
  3. Deckerová, Jindřiška and Kučerová, Kristýna and Faigl, Jan, On Improvement Heuristic to Solutions of the Close Enough Traveling Salesman Problem in Environments with Obstacles, European Conference on Mobile Robots (ECMR), (pp. 1–6) , 2023 .
  4. Deckerová, Jindřiška and Faigl, Jan and Krátký, Vít, Traveling Salesman Problem with neighborhoods on a sphere in reflectance transformation imaging scenarios, Expert Systems with Applications, 116814198 , 2022 .
  5. Deckerová, Jindřiška and Faigl, Jan, Hopfield Neural Network in Solution of the Close Enough Orienteering Problem, Conference Information Technologies - Applications and Theory (ITAT), (pp. 169–175) , 2020 .
  6. Faigl, Jan and Deckerová, Jindřiška and Váňa, Petr, Fast Heuristics for the 3D Multi-Goal Path Planning based on the Generalized Traveling Salesman Problem with Neighborhoods, IEEE Robotics and Automation Letters, 2439–244643 , 2019 .
  7. Faigl, Jan and Deckerová, Jindřiška, On Unsupervised Learning Based Multi-Goal Path Planning for Visiting 3D Regions, International Conference on Robotics and Artificial Intelligence (ICRAI), (pp. 45–50) , 2018 .

Teaching

  • Student supervision
    • Bachelor thesis: Solving the Close Enough MultiTraveling Salesman Problem with the Hopfield Neural Network - 2023-2024
    • Master thesis: Lower Bound Estimates for Path Planning in Environment with Obstacles - 2022-2023
  • Instructor
    • Programming in C - bachelor course - 2019 - 2022
    • Procedural Programming - bachelor course - 2021 - PRESENT
    • Planning in Artificial Inteligence - master course - 2024
    • Problem Solving and Games - bachelor course - 2023
    • Artificial Inteligence in Robotics - master course - 2021

Community

  • 2023-PRESENT: Member of the Czech Chapter of Upsilon Pi Epsilon, Vicepresident since 2024
  • 2023: Workshop organizator at Became a scientist for a day within the International Day of Women in Science
  • 2022: Member of organization committee ofInternational 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: Member of organization committee of Student Conference on Planning in Artificial Intelligence and Robotics (PAIR 2022)
  • 2021 - 2023: PR Manager of Open Informatics study program
  • 2019-2021: Member of Academic Senate of Faculty of Electrical Engineering, Czech Teaching University in Prague

Skills

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

Jindřiška Deckerová

PhD student at the CTU in Prague. Focus on routing and multi-goal path planning.

I am 4th year PhD student at the Czech Technical University in Prague. I work in the Computational Robotics Laboratory with the Articial Inteligence Center in Faculty of Electrical Engineering. My main focus is on the routing problems, the optimal solution of these problems and solution in dynamic environments. Besides, one of my hobbies is popularization of science.

I have a podcast with my friend Míša called věda bez cenzury where we talk about doctorate studies, academia, and science.

Download CV directly.


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