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Type
Webinar

AI-driven tunnel safety innovations for resilient SDG-aligned infrastructure

Event organised by ICE

Date
13 February 2025
Time
19:00 - 20:00 GST
Location
Online
Add to Calendar 13-02-2025 19:00 13-02-2025 20:00 false Asia/Dubai AI-driven tunnel safety innovations for resilient SDG-aligned infrastructure https://ice.org.uk/events/upcoming-events/ai-driven-tunnel-safety-sdg-infrastructure/ Online,

Free

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Overview

The Himalayan region, characterised by complex geological formations and high seismic activity, poses significant challenges for the resilience of tunnelling infrastructure.

This lecture will present an advanced AI-driven predictive model developed to assess and forecast seismic damage in tunnels, focusing on the Himalayan Tunnelling Project. The model integrates geotechnical, structural, and seismic data with machine learning techniques, enabling accurate identification of vulnerable zones and potential damage mechanisms. 

Key insights include: 

  • Development of seismic intensity-response relationships tailored for tunnel infrastructure. 
  • Utilisation of site-specific vulnerability indices and geological parameters for enhanced prediction accuracy. 
  • Application of AI for risk-informed decision-making in tunnel design and maintenance.

Organised by the ICE Oman Committee, this online event is designed for a diverse audience, including civil engineers, architects, and environmental specialists with an interest in tunnel safety.

Speaker

Dr. Abdullah Ansari

Dr. Abdullah Ansari

Sultan Qaboos University Muscat

research assistant professor

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Dr. Abdullah Ansari

Dr. Abdullah Ansari, working at Earthquake Monitoring Center (EMC), Sultan Qaboos University (Oman) is a leading figure in geotechnical earthquake engineering, infrastructure resilience, and sustainable tunnel design in GCC. Dr. Abdullah Ansari also serves as a visiting faculty member in the Department of Civil Engineering and the Department of Smart City Engineering (SmartMast Lab) at Inha University in South Korea. His expertise spans seismic risk analysis, geophysical site exploration, and the application of machine learning and artificial intelligence to enhance infrastructure resilience.

He has made significant contributions to enhancing the safety and sustainability of infrastructure in Oman, aligning with Oman Vision 2040. At SQU, Dr. Ansari spearheads projects such as seismic risk assessments for the Al-Sharqiyah Tunnel and robustness evaluations of Muscat's coastal highway network. His work integrates seismic hazard analysis, vulnerability modeling, and AI-driven solutions to address multi-hazard challenges in tunnels and urban infrastructure.

Dr. Ansari’s international portfolio includes pivotal research related to seismic safety evaluations of nuclear power plants in South Korea, where he contributed to the development of advanced seismic hazard mitigation strategies. His studies have informed resilient design practices and supported the reliable operation of critical energy infrastructure under seismic conditions. 

He has successfully completed projects related to railway engineering, highway expansion, nuclear power plants, tunnel and bridge design, coastal structures, and tsunami-resilient design for government research organizations in India, South Korea, Japan, Oman, and countries across the GCC. In addition, his research encompasses seismic intensity-response relationships for tunnels in the Himalayas and the development of risk matrices and functionality guidelines for tunnels in Oman. Leveraging AI and ML, Dr. Ansari has developed predictive models to assess seismic hazards and optimize infrastructure design, advancing the field of data-driven resilience engineering.

A proponent of theoretical and applied innovations, Dr. Ansari’s work on the seismic safety of transportation systems, hospitals, and educational facilities has had a transformative impact, garnered significant economic and social benefits while supported the UN's Sustainable Development Goals for resilient and sustainable infrastructure.

For more information please contact:

ICE MENA

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