Abdulmajid Murad

According to our database, Abdulmajid Murad authored at least 12 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Learning to Land Anywhere: Transferable Generative Models for Aircraft Trajectories.

Olav Finne Praesteng Larsen, Massimiliano Ruocco, Michail Spitieris, Abdulmajid Murad, Martina Ragosta

CoRR, November, 2025

Pre-Tactical Flight-Delay and Turnaround Forecasting with Synthetic Aviation Data.

Abdulmajid Murad, Massimiliano Ruocco

CoRR, August, 2025

PIGPVAE: physics-informed gaussian process variational autoencoders.

Michail Spitieris, Massimiliano Ruocco, Abdulmajid Murad, Alessandro Nocente

Appl. Intell., August, 2025

Synthetic Aircraft Trajectory Generation Using Time-Based VQ-VAE.

Abdulmajid Murad, Massimiliano Ruocco

CoRR, April, 2025

2024

Uncertainty-aware autonomous sensing with deep reinforcement learning.

Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor

Future Gener. Comput. Syst., 2024

2023

Uncertainty-Aware Autonomous Sensing with Deep Reinforcement Learnings.

Abdulmajid Murad

PhD thesis, 2023

2021

Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting.

Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor

Sensors, 2021

Learning Task Agnostic Skills with Data-driven Guidance.

Even Klemsdal, Sverre Herland, Abdulmajid Murad

CoRR, 2021

2020

Information-driven adaptive sensing based on deep reinforcement learning.

Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor

Proceedings of the IoT '20: 10th International Conference on the Internet of Things, 2020

2019

Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning.

Abdulmajid Murad, Frank Alexander Kraemer, Kerstin Bach, Gavin Taylor

Proceedings of the 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2019

IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning.

Abdulmajid Murad, Kerstin Bach, Frank Alexander Kraemer, Gavin Taylor

Proceedings of the 9th International Conference on the Internet of Things, 2019

2017

Deep Recurrent Neural Networks for Human Activity Recognition.

Abdulmajid Murad, Jae-Young Pyun

Sensors, 2017