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 (HICSS, 2022)

Classifying Severe Weather Events by Utilizing Social Sensor Data and Social Network Analysis. - Hussain Otudi; Shelly Gupta 001; Nouf Albarakati; Zoran Obradovic (ASONAM, 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 (HICSS, 2023)

Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons. - Hussain Otudi; Shelly Gupta 001; Zoran Obradovic (EANN, 2024)

Exploring Topic-Related User Experiences Through Social Graph. - Shelly Gupta 001; Ameen Abdel Hai; Abdulrahman Alharbi; Hussain Otudi; Zoran Obradovic (ECIS, 2024)

From Tweets to Reddit: Leveraging Semi-supervised Domain Adaptation for Improving Data Filtering. - Shelly Gupta 001; Jumanah Alshehri; Ameen Abdel Hai; Hussain Otudi; Zoran Obradovic (AIAI (4), 2024)

Harnessing Machine Learning for Rain Induced Landslide Detection and Analysis. - Shelly Gupta 001; Hussain Otudi; Ameen Abdel Hai; Rafaa Aljurbua; Jovan Andjelkovic; Abdulrahman Alharbi; Zoran Obradovic (EANN (2), 2025)

Utilizing Multiple Data Sources to Improve Prediction of Severe Weather Events Through Spatio-Temporal Analysis. - Hussain Otudi; Shelly Gupta 001; Ameen Abdel Hai; Rafaa Aljurbua; Abdulrahman Alharbi; Zoran Obradovic (EANN (1), 2025)