Supervised students

Doctoral students

Master students (selection)

  • Andrei Alexandrescu (2022-2024) LinkedIn
    • Master thesis: ActiveRails: Improving Rails Semantic Segmentation through Active Learning Methods abstract
  • Dragos Comanac (2022-2024) LinkedIn
    • Master thesis: Anchorless object detection based on deep convolutional networks abstract
  • Radu Corcan (2021 – 2023) LinkedIn
  • George Stoia (2020 – 2022) LinkedIn

Bachelor students (selection)

  • Darius Jurjiu (2021 – 2024) LinkedIn
    • Bachelor thesis: Medical Imaging for Dentistry Using Segmentation and Detection Deep Learning techniques abstract
  • Ioana Baciu (2021 – 2024) LinkedIn
    • Bachelor thesis: MammoDetect: Deep Learning Techniques for Breast Cancer Detection: A Comparative Study of GoogLeNet and EfficientDet in 3D Imaging abstract
  • Stefan Neacsu (2021 – 2024) LinkedIn
    • Bachelor thesis: Handwritten text recognition techniques applied on English-Romanian texts abstract
  • Raul Tofan (2021 – 2024) LinkedIn
    • Bachelor thesis: UltraLight-AttentionNET: a lightweight neural network for real-time automated facial emotion recognition abstract
  • Andra Ursa (2021 – 2024) LinkedIn
    • Bachelor thesis: UltraLight-AttentionNET: a lightweight neural network for real-time automated facial emotion recognition abstract
  • Teodora Ursu (2020 – 2023) LinkedIn
  • Andra Marginean (2020 – 2023) LinkedIn
  • Paula Gal (2020 – 2023) LinkedIn
  • Victor Macinic (2019 – 2022) LinkedIn
  • Larisa Coroama (2019 – 2022) LinkedIn
  • Diana Coroama (2019 – 2022) LinkedIn
  • Alex Chimpan (2019 – 2022) LinkedIn
  • Tudor Cheregi (2019 – 2022) LinkedIn
  • Radu Baston (2019 – 2022) LinkedIn
  • Tudor Bal (2019 – 2022) LinkedIn
  • Andrei Alexandrescu (2019 – 2022) LinkedIn
  • Vasilica Moldovan (2018 – 2021) LinkedIn