13136 / 13141 - Artificial Intelligence Center

Projects Supported by Grants 2021

Bošanský, B.: Flexible and Resilient Autonomus Systems

2018 - 2023, 17RT0176

Bošanský, B.: Computing Equilibrium Strategies in Dynamic Games

2019 - 2021, GJ19-24384Y

Faigl, J.: Multi-Robot Persistent Monitoring of Dynamic Environments

2019 - 2021, GA19-20238S

Faigl, J.: Towards Optimal Curvature-Constrained Tours in Robotic Applications

2019 - 2022, LTAIZ19013

Faigl, J.: Learning Complex Motion Planning Policies

2021 - 2023, GC21-33041J

García, S.: An Improved IDS for IoT Threats Detection using Federated AI Learning and P2P cooperation

2020 - 2021, 666R1/2020

Krajník, T.: Towards long-term autonomy through introduction of the temporal domain into spatial representations used in robotics

2020 - 2021, GC20-27034J

Krajník, T.: Systém pro sociální zdrženlivost založený na prediktivních prostoročasových modelech

2020 - 2021, IDENT189

Krajník, T.: RoboRoyale: ROBOtic Replicants for Optimizing the Yield by Augmenting Living Ecosystems

2021 - 2026, 964492

Král, L.: The Signal and the Noise in the Era of Journalism 5.0 - A Comparative Perspective of Journalistic Genres of Automated Content

2021 - 2023, TL05000057

Král, L.: Artificial intelligence and human rights: risks, opportunities and regulation

2021 - 2023, TL05000484

Král, L.: Central European Digital Media Observatory

2021 - 2024,

Kroupa, T.: Game Theory for Adversarial Machine Learning

2020 - 2021, W911NF2010197

Kroupa, T.: Network modelling of complex systems: from correlation graphs to information hypergraphs

2021 - 2024, GA21-17211S

Pačes, P.: System for Situational Awareness Improvement and UAS Operation Management

2019 - 2021, TF06000082

Pevný, T.: Using deep reinforcement learning to simulate security analyst

2018 - 2021, FA9550-18-1-7008

Pevný, T.: Game Over Eva(sion): Securing Deep Learning with Game Theory

2019 - 2021, GF19-29680L

Pevný, T.: Development of an efficient steganalysis framework for uncovering hidden data in digital media

2021 - 2024, 101021687

Rigaki, M.: FEEL: FEderatEd Learning for network security

2021 - 2022, 682R1/2021

Šmídl, V.: Transferability of AI-based fraud-detection models to support expansion on foreign markets

2020 - 2022, FW02020147