Ali Krayani

According to our database, Ali Krayani authored at least 24 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring action-oriented models via active inference for autonomous vehicles.

Sheida Nozari, Ali Krayani, Pablo Marin, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni

EURASIP J. Adv. Signal Process., December, 2024

Modeling Autonomous Vehicle Responses to Novel Observations Using Hierarchical Cognitive Representations Inspired Active Inference.

Sheida Nozari, Ali Krayani, Pablo Marin, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni

Comput., July, 2024

Interactive Bayesian Generative Models for Abnormality Detection in Vehicular Networks.

Nobel J. William, Ali Krayani, Lucio Marcenaro, Carlo S. Regazzoni

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Self-Supervised Path Planning in UAV-Aided Wireless Networks Based on Active Inference.

Ali Krayani, Khalid Khan, Lucio Marcenaro, Mario Marchese, Carlo S. Regazzoni

Proceedings of the IEEE International Conference on Acoustics, 2024

Learning 3D LiDAR Perception Models for Self-Aware Autonomous Systems.

Saleemullah Memon, Ali Krayani, Pamela Zontone, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

A Goal-Directed Trajectory Planning Using Active Inference in UAV-Assisted Wireless Networks.

Ali Krayani, Khalid Khan, Lucio Marcenaro, Mario Marchese, Carlo S. Regazzoni

Sensors, August, 2023

Active Inference for Sum Rate Maximization in UAV-Assisted Cognitive NOMA Networks.

Felix Obite, Ali Krayani, Atm Shafiul Alam, Lucio Marcenaro, Arumugam Nallanathan, Carlo S. Regazzoni

Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Integrated Sensing and Communication for Joint GPS Spoofing and Jamming Detection in Vehicular V2X Networks.

Ali Krayani, Gabriele Barabino, Lucio Marcenaro, Carlo S. Regazzoni

Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Adapting Exploratory Behaviour in Active Inference for Autonomous Driving.

Sheida Nozari, Ali Krayani, Pablo Marin, Lucio Marcenaro, David Martín, Carlo S. Regazzoni

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Learning Self-Awareness Models for Physical Layer Security in Cognitive and AI-enabled Radios.

Ali Krayani

PhD thesis, 2022

Automatic Jamming Signal Classification in Cognitive UAV Radios.

Ali Krayani, Atm Shafiul Alam, Lucio Marcenaro, Arumugam Nallanathan, Carlo S. Regazzoni

IEEE Trans. Veh. Technol., 2022

An Emergent Self-Awareness Module for Physical Layer Security in Cognitive UAV Radios.

Ali Krayani, Atm Shafiul Alam, Lucio Marcenaro, Arumugam Nallanathan, Carlo S. Regazzoni

IEEE Trans. Cogn. Commun. Netw., 2022

A Novel Resource Allocation for Anti-Jamming in Cognitive-UAVs: An Active Inference Approach.

Ali Krayani, Atm Shafiul Alam, Lucio Marcenaro, Arumugam Nallanathan, Carlo S. Regazzoni

IEEE Commun. Lett., 2022

Active Inference Integrated With Imitation Learning for Autonomous Driving.

Sheida Nozari, Ali Krayani, Pablo Marín-Plaza, Lucio Marcenaro, David Martín Gómez, Carlo S. Regazzoni

IEEE Access, 2022

Autonomous Driving Based on Imitation and Active Inference.

Sheida Nozari, Ali Krayani, Pablo Marin, Lucio Marcenaro, David Martín, Carlo S. Regazzoni

Proceedings of the Advances in System-Integrated Intelligence, 2022

Generalized Filtering with Transport Planning for Joint Modulation Conversion and Classification in AI-enabled Radios.

Ali Krayani, Nobel J. William, Atm Shafiul Alam, Lucio Marcenaro, Zhijin Qin, Arumugam Nallanathan, Carlo S. Regazzoni

Proceedings of the IEEE International Conference on Communications, 2022

Incremental Learning through Probabilistic Behavior Prediction.

Sheida Nozari, Ali Krayani, Lucio Marcenaro, David Martín, Carlo S. Regazzoni

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Automatic Modulation Classification in Cognitive-IoT Radios using Generalized Dynamic Bayesian Networks.

Ali Krayani, Atm Shafiul Alam, Marco Calipari, Lucio Marcenaro, Arumugam Nallanathan, Carlo S. Regazzoni

Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

2020

AI-Based Abnormality Detection at the PHY-Layer of Cognitive Radio by Learning Generative Models.

Andrea Toma, Ali Krayani, Muhammad Farrukh, Haoran Qi, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni

IEEE Trans. Cogn. Commun. Netw., 2020

Deep Learning for Spectrum Anomaly Detection in Cognitive mmWave Radios.

Andrea Toma, Ali Krayani, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni

Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Smart Jammer Detection for Self-Aware Cognitive UAV Radios.

Ali Krayani, Mohamad Baydoun, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni

Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Self-Learning Bayesian Generative Models for Jammer Detection in Cognitive-UAV-Radios.

Ali Krayani, Mohamad Baydoun, Lucio Marcenaro, Atm Shafiul Alam, Carlo S. Regazzoni

Proceedings of the IEEE Global Communications Conference, 2020

2019

Learning a Switching Bayesian Model for Jammer Detection in the Cognitive-Radio-Based Internet of Things.

Muhammad Farrukh, Ali Krayani, Mohamad Baydoun, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni

Proceedings of the 5th IEEE World Forum on Internet of Things, 2019

Jammer detection in M-QAM-OFDM by learning a Dynamic Bayesian Model for the Cognitive Radio.

Ali Krayani, Muhammad Farrukh, Mohamad Baydoun, Lucio Marcenaro, Yue Gao, Carlo S. Regazzoni

Proceedings of the 27th European Signal Processing Conference, 2019