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  • Academic achievements of the MSci in Data Science alumni and students in 2021
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Academic achievements of the MSci in Data Science alumni and students in 2021

Monday, 18 January, 2021 77

In 2021, the students and alumni of the MSci in Data Science continued to actively publish their research. Most of those papers were the results of the diploma projects.

  • Vasyl Borsuk (alumnus 2022), Roman Vei (alumnus 2022), Orest Kupyn (alumnus 2018), Tetiana Martyniuk (alumna 2019), Krashenyi, I., & Matas, J. (2021). FEAR: Fast, Efficient, Accurate and Robust Visual Tracker.
  • Yaroslava Lochman (alumna 2020), Dobosevych, O., Hryniv, R., & Pritts, J. (2021). Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 2887-2896) is the result of the Yaroslava Lochman diploma project and was presented at the WACV 2021 conference.
  • Yaroslava Lochman (alumna 2020), Liepieshov, K., Chen, J., Perdoch, M., Zach, C., & Pritts, J. (2021). BabelCalib: A Universal Approach to Calibrating Central Cameras. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 15253-15262) is another paper by Yaroslava Lochman which was presented at the ICCV 2021. Yaroslava continues her studies as a Ph.D. student at the Chalmers University of Technology, Sweeden.
  • Oleh Lukianykhin (alumnus 2020), & Bogodorova, T. (2021). Voltage Control-Based Ancillary Service Using Deep Reinforcement Learning. Energies, 14(8), 2274 is the result of the Oleh Lukianykhin diploma project and was published in the special issue “Demand Response Optimization Techniques for Smart Power Grids” of the top journal Energies.
  • Mykola Trokhymovych (alumnus 2021), & Saez-Trumper, D. (2021, October). Wikicheck: An end-to-end open source automatic fact-checking api based on wikipedia. In Proceedings of the 30th ACM International Conference on Information & Knowledge Management (pp. 4155-4164) is the result of the Mykola Trokhymovych diploma project and was presented at the 30th ACM International Conference on Information & Knowledge Management.
  • Kateryna Zorina (alumna 2018), Carpentier, J., Sivic, J., & Petrík, V. (2021). Learning to Manipulate Tools by Aligning Simulation to Video Demonstration. IEEE Robotics and Automation Letters, 7(1), 438-445. Kateryna Zorina is a Ph.D. student at the Czech Technical University in Prague now.
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Preparatory courses to the master’s program
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