Hussain Otudi

According to our database, Hussain Otudi authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

Utilizing Multiple Data Sources to Improve Prediction of Severe Weather Events Through Spatio-Temporal Analysis.

Hussain Otudi, Shelly Gupta, Ameen Abdel Hai, Rafaa Aljurbua, Abdulrahman Alharbi, Zoran Obradovic

Proceedings of the Engineering Applications of Neural Networks, 2025

Harnessing Machine Learning for Rain Induced Landslide Detection and Analysis.

Shelly Gupta, Hussain Otudi, Ameen Abdel Hai, Rafaa Aljurbua, Jovan Andjelkovic, Abdulrahman Alharbi, Zoran Obradovic

Proceedings of the Engineering Applications of Neural Networks, 2025

2024

From Tweets to Reddit: Leveraging Semi-supervised Domain Adaptation for Improving Data Filtering.

Shelly Gupta, Jumanah Alshehri, Ameen Abdel Hai, Hussain Otudi, Zoran Obradovic

Proceedings of the Artificial Intelligence Applications and Innovations, 2024

Exploring Topic-Related User Experiences Through Social Graph.

Shelly Gupta, Ameen Abdel Hai, Abdulrahman Alharbi, Hussain Otudi, Zoran Obradovic

Proceedings of the 32nd European Conference on Information Systems, 2024

Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons.

Hussain Otudi, Shelly Gupta, Zoran Obradovic

Proceedings of the Engineering Applications of Neural Networks, 2024

2023

Training Machine Learning Models with Simulated Data for Improved Line Fault Events Classification From 3-Phase PMU Field Recordings.

Hussain Otudi, Taif Mohamed, Mladen Kezunovic, Yi Hu, Zoran Obradovic

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Classifying Severe Weather Events by Utilizing Social Sensor Data and Social Network Analysis.

Hussain Otudi, Shelly Gupta, Nouf Albarakati, Zoran Obradovic

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

Line Faults Classification Using Machine Learning on Three Phase Voltages Extracted from Large Dataset of PMU Measurements.

Hussain Otudi, Tatjana Dokic, Taif Mohamed, Mladen Kezunovic, Yi Hu, Zoran Obradovic

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022