Abdulmajid Murad

About

PUBLICATIONS:

2023:

Doctoral Thesis: Uncertainty-Aware Autonomous Sensing with Deep Reinforcement Learning. Trondheim, Norway: ntnu 2023 (ISBN 978-82-326-6974-5) 207 s.
NTNU

2021:

Murad, A.; Kraemer, F.A.; Bach, K.; Taylor, G.; Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Sensors 21(23), November 2021.
Klemsdal, E.; Herland, S.; Murad, A.; "Learning Task Agnostic Skills with Data-driven Guidance". ICML 2021 workshop on Unsupervised Reinforcement Learning, July 18--24, 2021, Vienna, Austria.

2020:

Murad, A.; Kraemer, F.A.; Bach, K.; Taylor, G.; Information-Driven Adaptive Sensing based on Deep Reinforcement Learning. Proceeding of the 10th International Conference on the Internet of Things, October 4--9, 2020, Malmö, Sweden.

2019:

Murad, A.; Kraemer, F.A.; Bach, K.; Taylor, G.; Autonomous Management of Energy-Harvesting IoT Nodes using Deep Reinforcement Learning. Proceeding of the IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO), June 16--20, 2019, Umeå, Sweden.
Murad, A.; Kraemer, F.A.; Bach, K.; Taylor, G.; IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning. Proceeding of the 9th International Conference on the Internet of Things, October 22--25, 2019, Bilbao, Spain.

2017:

Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2021) Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Sensors. volum 21 (23).
Academic article

Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2020) Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning. IoT '20: Proceedings of the 10th International Conference on the Internet of Things.
Academic chapter/article/Conference paper

Murad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2019) Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO).
Academic chapter/article/Conference paper
Murad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2019) IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning. 9th International Conference on the Internet of Things (IoT 2019), October 22--25, 2019, Bilbao, Spain.
Academic chapter/article/Conference paper

Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2021) Probabilistic Deep Learning to Quantify Uncertainty in Air Quality Forecasting. Sensors. volum 21 (23).
Academic article

Murad, Abdulmajid; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2020) Information-Driven Adaptive Sensing Based on Deep Reinforcement Learning. IoT '20: Proceedings of the 10th International Conference on the Internet of Things.
Academic chapter/article/Conference paper
Murad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2019) Autonomous Management of Energy-Harvesting IoT Nodes Using Deep Reinforcement Learning. 2019 IEEE 13th International Conference on Self-Adaptive and Self-Organizing Systems (SASO).
Academic chapter/article/Conference paper
Murad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2019) IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning. 9th International Conference on the Internet of Things (IoT 2019), October 22--25, 2019, Bilbao, Spain.
Academic chapter/article/Conference paper

Poster

Murad, Abdulmajid Abdullah Yahya; Kraemer, Frank Alexander; Bach, Kerstin; Taylor, Gavin. (2019) IoT Sensor Gym: Training Autonomous IoT Devices with Deep Reinforcement Learning (Poster). IoT 20019 ; 2019-10-22 - 2019-10-25.