Saad A. A. Jabir | Structural Health Monitoring | Research Excellence in Civil and Environmental Engineering Award

Saad A. A. Jabir | Structural Health Monitoring | Research Excellence in Civil and Environmental Engineering Award

CEO | Nur Engineering GmbH | Germany

Saad A. A. Jabir’s research focuses on advancing condition monitoring and structural health assessment within civil engineering, emphasizing innovative sensor-based approaches for real-time evaluation of infrastructure performance. His primary contributions are in the development and application of thick-film ceramic sensors for measuring the strength and stability of civil structures. Jabir’s work demonstrates the potential of these sensors in providing accurate, durable, and responsive measurements that enhance the reliability and safety of infrastructure systems. Through his publications, he explores the integration of sensing technology into civil structures, enabling continuous monitoring that aids in preventive maintenance and early fault detection. His research also intersects materials science and measurement engineering, with attention to improving sensor materials’ thermal and mechanical resilience for field applications. By addressing challenges such as environmental variability and long-term stability of sensor outputs, Jabir contributes to making structural monitoring systems more adaptive and cost-effective. His studies have significant implications for modern smart infrastructure and sustainable construction practices, providing valuable insights into how sensor technologies can be scaled for large-scale engineering projects. His collaborative work reflects an interdisciplinary approach combining electrical engineering, materials research, and civil infrastructure monitoring to create robust diagnostic systems for critical assets. Saad A. A. Jabir’s research output, though concise, holds impactful applications for modern infrastructure management and reliability improvement in engineering systems. 60 Citations 3 Documents 2 h-index

Profile: Scopus
Featured Publications:

Condition monitoring of the strength and stability of civil structures using thick film ceramic sensors. (2013). Measurement: Journal of the International Measurement Confederation.

BASEM A. ALKHALEEL – Machine learning – Best Paper Award

BASEM A. ALKHALEEL - Machine learning - Best Paper Award

King Saud University - Saudi Arabia

PROFESSIONAL SUMMARY

Basem A. Alkhaleel is a dedicated Assistant Professor in Industrial Engineering with a distinguished record of academic excellence and practical expertise in process reengineering and business continuity. Combining his extensive background in teaching, research, project management, and consulting, he brings a unique perspective to both academia and industry. With skills in leading cross-functional teams, analyzing complex systems, and implementing innovative solutions, he excels in driving process optimization, operational efficiency, and organizational resilience.

EDUCATION

Basem A. Alkhaleel holds a Ph.D. in Industrial Engineering from the University of Arkansas (2021), an MSc in Industrial and Systems Engineering from Texas A&M University (2015), and a BSc in Industrial Engineering from King Saud University (2012).

ACADEMIC AND RESEARCH EXPERIENCE

As an Assistant Professor at King Saud University since September 2021, Basem A. Alkhaleel has been involved in directing the counseling unit for undergraduate engineering students, participating in various departmental committees, and supervising numerous undergraduate student graduation projects. His research focuses on machine learning applications in critical infrastructure resilience, reliability engineering, and business continuity.

PROFESSIONAL EXPERIENCE

In addition to his academic roles, Basem A. Alkhaleel is a Management Consultant at ES Consulting in Riyadh, Saudi Arabia, where he develops and implements process improvement strategies and business continuity plans. He has also served as a Project Manager at the Arkansas Department of Transportation, leading the development and implementation of a decision support system for multi-modal transportation operations.

PROJECT MANAGEMENT AND CONSULTING

Basem A. Alkhaleel has managed several high-profile projects, including process documentation and modeling for the Ministry of Municipal and Rural Affairs and Housing and the Advanced Electronics Company. His work involves process modeling, documentation, digitalization, and KPI alignment to improve operational and strategic efficiencies.

RESEARCH AND INNOVATION

During his Ph.D. research at the University of Arkansas, Basem A. Alkhaleel developed resilience-based restoration models for disrupted critical infrastructures and combined risk mitigation with resilience restoration and simulation modeling. His MSc research at Texas A&M University focused on data-driven approaches to improve decision-making processes in engineering projects.

TEACHING AND MENTORING

With a strong commitment to education, Basem A. Alkhaleel has lectured on various industrial engineering subjects, including manufacturing processes and reliability engineering, at King Saud University. His teaching philosophy emphasizes innovative strategies to enhance student performance and academic success.

STRATEGIC PLANNING AND DEVELOPMENT

Earlier in his career, Basem A. Alkhaleel worked as a Strategic Planner at Ma’aden Company, developing long-term strategic plans and applying business development tools to identify areas of improvement. His strategic insights and communication skills have been instrumental in achieving organizational objectives and driving continuous improvement initiatives.

NOTABLE PUBLICATIONS

Risk and resilience-based optimal post-disruption restoration for critical infrastructures under uncertainty 2022 (44)

Hybrid simulation to support interdependence modeling of a multimodal transportation network 2021 (19)

Machine learning applications in the resilience of interdependent critical infrastructure systems—A systematic literature review 2023 (8)

Model and solution method for mean-risk cost-based post-disruption restoration of interdependent critical infrastructure networks 2022 (10)