Dr. O.A. (Alexei) Sharpans'kykh

Dr. O.A. (Alexei) Sharpans'kykh

Profile

Biography

​​​​​​​Alexei Sharpanskykh obtained his PhD degree in the area of AI and multiagent systems at VU University Amsterdam. After that he worked as a postdoctoral researcher in the same institution on modelling and verification methods for complex adaptive systems in the areas of aviation, incident management, and ambient intelligence. After receiving a personal VENI grant, he moved to the faculty of Aerospace Engineering at Delft University of Technology, to continue as an assistant professor with the focus on AI in application to air transport operations modelling, simulation, and optimisation. His current main focus is on sustainability and automation of airport operations.
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Projects

Horizon Europe GOLIAT (2024-2027)

Developing aircraft using hydrogen is seen as a major lever to reach net-zero CO2 emissions by 2050 and to secure the long-term sustainability of air travel. GOLIAT contributes to this goal by exploring how hydrogen-powered aircraft will be integrated into airport operations and  required changes to current aircraft ground handling infrastructure and operations. GOLIAT will demonstrate liquid hydrogen aircraft ground operations at three different types of European airports using a small hydrogen operated aircraft. It will also assess the sizing and economics of hydrogen value chains for airports.​​​

More information: ​​​​​​​https://research.airbus.com/en/goliat


SESAR SynthAIr (2023-2025)

The main objective of SynthAIR is to explore and define AI-based methods for synthetic data generation in the domain of ATM system due to the limitation of AI-based tools development by the lack of enough data available (e.g., safety-related data) and the problem of generalization of those AI-based models. We want to explore data-driven methods for synthetic data generation, since they require less user knowledge expertise (no need to derive the explicit model of the distribution) and better generalization capabilities.


More information: ​​​​​​​https://www.sesarju.eu/projects/SynthAIR


SESAR ASTAIR (2023-2025)

ASTAIR aims to develop models and a prototype for autonomous management of ground operations of aircraft and other vehicles, while allowing human supervisors to monitor and interact with automation to cope with operational events.

More information: https://research.dblue.it/astair/


Horizon ORCHESTRA (2020-2023)

In the project, models, architectures and tools were explored to coordinate and synchronise the multimodal traffic management in a distributed manner, in the context of two Living Labs, including an airport ecosystem.

More information: https://orchestra2020.eu/


SESAR AEON (2020-2022)

​​​​​​​AEON aims at innovating  airport ground operations with more environmentally friendly taxiing techniques, using novel technologies such as Taxi Bots and E-Taxi.

More information: https://www.aeon-project.eu/


Airport Technology Lab (ATL) (2019-2023)

A part of this national project funded by Europees Fonds voor Regionale Ontwikkeling was on modelling, analysis, and optimization of airport terminal operations in cooperation with Rotterdam-the Hague airport and To70.

More information: https://stichtingrhia.nl/portfolio/airport-technology-lab/


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Expertise

Publications

Courses 2024

Courses 2023

Media

Prizes

  • 2021-10-8

    IBM award of scientific excellence

    The 3rd PRIZE of the IBM Award of Scientific Excellence to the
    Best Demonstration presented during the 19th International Conference on
    Practical Applications of Agents and Multi-Agent Systems (PAAMS’21)
    held at the University of Salamanca (Spain), from October 6th to 8th, 2021

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