Majd Al Aawar

According to our database, Majd Al Aawar authored at least 6 papers between 2020 and 2025.

Collaborative distances:

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

2025

Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression.

Mansooreh Montazerin, Majd Al Aawar, Antonio Ortega, Ajitesh Srivastava

CoRR, June, 2025

Dynamics-Based Feature Augmentation of Graph Neural Networks for Variant Emergence Prediction.

Majd Al Aawar, Srikar Mutnuri, Mansooreh Montazerin, Ajitesh Srivastava

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Global Prediction of COVID-19 Variant Emergence Using Dynamics-Informed Graph Neural Networks.

Majd Al Aawar, Srikar Mutnuri, Mansooreh Montazerin, Ajitesh Srivastava

CoRR, 2024

2022

Random Forest of Epidemiological Models for Influenza Forecasting.

Majd Al Aawar, Ajitesh Srivastava

CoRR, 2022

2021

Deep Learning and Mixed Reality to Autocomplete Teleoperation.

Mohammad Kassem Zein, Majd Al Aawar, Daniel C. Asmar, Imad H. Elhajj

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Drone Motion Primitive Dataset.

Justin Elhalabi, Majd Al Aawar, Mohammad Kassem Zein, Imad H. Elhajj, Daniel C. Asmar

Dataset, October, 2020