On behalf of the President of Al al-Bayt University, Professor Osama Nusair, the Vice President for Community Affairs and International Relations, Professor Hani Akhu Rasheeda, sponsored the activities of the Fourth International Conference on Artificial Intelligence for Disaster Management: Innovations and Strategies (AIDR 2025), which was organized by the Center for Modeling and Simulation for Risk Analysis at the University, with wide participation from researchers and scientists from various universities and the Royal Jordanian Geographic Center.

The Vice President delivered a speech on behalf of the President of the University in which he welcomed the participants, stressing that the conference constitutes a global scientific platform that brings together a group of scientists, experts and decision-makers to discuss vital topics, most notably the role of artificial intelligence in early warning systems and disaster forecasting, crisis management and emergency response using the latest technologies, in addition to its applications in urban planning and infrastructure protection, its role in adapting to climate change and environmental monitoring, and the development of humanitarian aid and smart logistics. And the ethical dimensions and public policies associated with the use of artificial intelligence in the face of disasters.

The Vice President extended his thanks and appreciation to everyone who contributed to supporting this important conference, looking forward to its sessions and workshops contributing to developing practical recommendations and innovative ideas that enhance international cooperation and support the use of artificial intelligence in disaster management in a way that serves all of humanity.

The Director of the Center for Modeling and Simulation for Risk Analysis and Dean of the College of Engineering, Professor Muayyad Al-Shawaqfeh, reviewed the most prominent themes of the conference and the participating research papers, pointing to the importance of artificial intelligence as a basic pillar due to its capabilities for data analysis, risk forecasting, and improving response in a timely manner.

He stressed that the conference represents a clear message from Al al-Bayt University and the Center to move forward towards enhancing applied scientific research and supporting international scientific dialogue to build a future based on knowledge and technology.

The first session, which was managed by Dr. Wael Qassas from Al al-Bayt University, included the presentation of a number of research and scientific papers in which His Excellency Dr. Mahmoud Al-Duwairi participated with a working paper dealing with the challenges facing food security and nutrition in Arab countries.

Dr. Ziad Ghazawi from the University of Science and Technology also presented a paper entitled Machine Learning Approaches for Predicting Wastewater Quality.

In the second session, which was managed by Dr. Hatem Al-Masaeed, Dr. Khaldoun Shatnawi and Sharifah Hind from the University of Jordan presented a joint paper entitled Modeling Integrated Water Resources Management Using Remote Sensing Technologies.

Dr. Omar Akasha from Al Ain University presented a paper entitled Smart Risk Management: Artificial Intelligence Applications in Forecasting.

Al-Saqer Company participated, represented by Engineer Alaa El-Din Al-Khawaja, Engineer Basem Hamad, and Engineer Imad Al-Rajoub, with a research paper entitled Drone Solutions and Artificial Intelligence in Disaster and Accident Response.

In a paper presented by Engineer Muhammad Ali Arabiyat, Head of the Geographic Portal Department at the Royal Jordanian Geographic Center, entitled From a Printed Book to a Map: An Interactive Window on the World Map.

Dr. Hiba Al-Kharabsheh also presented her scientific paper entitled Simulation and Adaptation Measures for the Impact of Climate Change on Barley Productivity in Jordan.

The sessions concluded with a research paper by Ms. Ghadeer Zaidan Suleiman entitled Towards Smarter Disaster Management: An Artificial Intelligence-Based Framework for Classifying Natural Disasters and Predicting Mortality in Asia (2000-2025), and a paper by Dr. Ibrahim Hamdan in which he discussed the use of multi-sensor remote sensing data to determine the response of karst subsurface reservoirs to subsurface recharge and pollution.