Sasha Vlaskin

@nlr.org

PhD Candidate, C&O, Faculty of Aerospace Engineering
NLR/TU Delft

I am a PhD candidate working with the Netherlands Aerospace Centre (NLR) and the CNS/ATM chair within the Control and Operations department at the Technical University of Delft.

EDUCATION

Master of Science in Aerospace Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Aerospace Engineering
15

Scholar Citations

2

Scholar h-index

1

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Centralized Landing Flow Merging for Drones Using Deep Reinforcement Learning
    S Vlaskin, J Groot, E Sunil, J Ellerbroek, J Hoekstra, D Nieuwenhuisen
    Aerospace 13 (3), 234 , 2026
    2026
  • Surveillance Frequency Monitoring through Radar-to-Reply Allocation
    M Jásdi, E Robert, A Vlaskin, P Jonáš, J Bodart
    2025 Integrated Communications, Navigation and Surveillance Conference (ICNS … , 2025
    2025
  • Deep Reinforcement Learning for Drone Conflict Resolution Under Uncertainty
    AV Vlaskin, MF Rahman, E Sunil, J Ellerbroek, JM Hoekstra, ...
    SESAR Joint Undertaking , 2025
    2025
    Citations: 1
  • Autonomous separation in u-space: Assessing the impact of position uncertainty
    MF Rahman, A Vlaskin, J Ellerbroek, J Hoekstra
    Proceedings of the SID 2024 Conference , 2024
    2024
    Citations: 2
  • Comparison of Strategic Conflict Prevention Methods for Departure Planning in Drone Delivery
    S Vlaskin, E Sunil, D Nieuwenhuisen, J Ellerbroek, J Hoekstra
    2024 AIAA DATC/IEEE 43rd Digital Avionics Systems Conference (DASC), 1-8 , 2024
    2024
    Citations: 1
  • Autonomous separation management system for drones through optimal layer interactions
    S Vlaskin, E Sunil, D Nieuwenhuisen, J Ellerbroek, J Hoekstra
    Proceedings of the ICRAT 2024 Conference , 2024
    2024
    Citations: 1
  • BlueSky-Gym: Reinforcement learning environments for air traffic applications
    DJ Groot, G Leto, A Vlaskin, A Moec, J Ellerbroek
    SESAR Innovation Days, 1 , 2024
    2024
    Citations: 10
  • Preliminary Design and Capacity Study of Automatic Dependent Surveillance for Drones
    A Vlaskin, J Sun, J Hoekstra
    12th SESAR Innovation Days , 2022
    2022
  • Automatic Dependent Surveillance for Drones
    A Vlaskin
    2022

MOST CITED SCHOLAR PUBLICATIONS

  • BlueSky-Gym: Reinforcement learning environments for air traffic applications
    DJ Groot, G Leto, A Vlaskin, A Moec, J Ellerbroek
    SESAR Innovation Days, 1 , 2024
    2024
    Citations: 10
  • Autonomous separation in u-space: Assessing the impact of position uncertainty
    MF Rahman, A Vlaskin, J Ellerbroek, J Hoekstra
    Proceedings of the SID 2024 Conference , 2024
    2024
    Citations: 2
  • Deep Reinforcement Learning for Drone Conflict Resolution Under Uncertainty
    AV Vlaskin, MF Rahman, E Sunil, J Ellerbroek, JM Hoekstra, ...
    SESAR Joint Undertaking , 2025
    2025
    Citations: 1
  • Comparison of Strategic Conflict Prevention Methods for Departure Planning in Drone Delivery
    S Vlaskin, E Sunil, D Nieuwenhuisen, J Ellerbroek, J Hoekstra
    2024 AIAA DATC/IEEE 43rd Digital Avionics Systems Conference (DASC), 1-8 , 2024
    2024
    Citations: 1
  • Autonomous separation management system for drones through optimal layer interactions
    S Vlaskin, E Sunil, D Nieuwenhuisen, J Ellerbroek, J Hoekstra
    Proceedings of the ICRAT 2024 Conference , 2024
    2024
    Citations: 1
  • Centralized Landing Flow Merging for Drones Using Deep Reinforcement Learning
    S Vlaskin, J Groot, E Sunil, J Ellerbroek, J Hoekstra, D Nieuwenhuisen
    Aerospace 13 (3), 234 , 2026
    2026
  • Surveillance Frequency Monitoring through Radar-to-Reply Allocation
    M Jásdi, E Robert, A Vlaskin, P Jonáš, J Bodart
    2025 Integrated Communications, Navigation and Surveillance Conference (ICNS … , 2025
    2025
  • Preliminary Design and Capacity Study of Automatic Dependent Surveillance for Drones
    A Vlaskin, J Sun, J Hoekstra
    12th SESAR Innovation Days , 2022
    2022
  • Automatic Dependent Surveillance for Drones
    A Vlaskin
    2022