In an era of escalating infrastructure demands, climate volatility, and tightening budgets, transport agencies must harness AI and digital transformation to move from reactive maintenance to intelligent, proactive road asset stewardship. This focused 7-day executive program equips roads and mobility professionals with the vision, frameworks, and roadmaps to drive AI-powered digital transformation across pavement and highway networks.

Participants will receive effective strategies and global best practices to speed up adoption, resulting in more durable assets, reduced life-cycle costs, improved resilience, and smarter, future-ready mobility systems.

The course combines technical fundamentals, case studies, and interactive discussions to help agencies transition toward data-driven, resilient, and intelligent transport systems.

Why Online?

• Earn Professional Development Hours
• Learn from global experts in AI, digital infrastructure, and transport engineering
• Flexible, accelerated learning with no travel required
• Full access to materials and session recordings
• Interactive discussions and real-world case studies
• Small group engagement and expert interaction
• Receive IRF Certification

Learning Objectives

• Understand the role of big data and digital transformation in modern road agencies
• Apply AI and machine learning techniques to pavement performance and maintenance planning
• Integrate IoT, remote sensing, and non-destructive testing data into infrastructure systems
• Evaluate and implement digital twin frameworks for road networks
• Leverage generative AI tools for operational efficiency and decision support

Target Audience

• National Road & Transport Agency Executives
• Pavement and Asset Management Engineers
• Data Analysts and Digital Transformation Leads
• Smart Mobility and ITS Professionals

Upon completion of the training program, the IRF will administer an online knowledge test. Participants with a score of 80% at the exam will be awarded a certificate verifying the successful completion of the course.

Lectures will be taught with live 2-hour online sessions held Monday – Thursday each week.  Monday – Thursday (9:00 AM – 11:00 AM US EST)

LEAD INSTRUCTOR

Mehran Mazari, Ph.D.
Associate Professor, California State University Los Angeles

Dr. Mehran Mazari is an Associate Professor in the Department of Civil Engineering at Cal State LA, specializing in Transportation Infrastructure, Materials and Applied Data Science, Artificial Intelligence (AI) and Machine Learning (ML). He is the faculty director of Sikand Center for Sustainable and Intelligent Infrastructures (SITI-Center) and founder of Sustainable Infrastructure Materials Research Lab (SIM-Lab) at Cal State LA. His research interests include sustainable and resilient transportation infrastructure, transportation infrastructure materials, and non-destructive evaluation of transportation infrastructure. He is member of technical committees at the Transportation Research Board of National Academies of Science and Engineering and co-chair of the LTPP subcommittee of the Highway Pavement Committee of the American Society of Civil Engineers (ASCE). Dr. Mazari has published more than 60 peer-reviewed journal and conference papers. He has been actively involved in several national and state research projects, including the National Highway Cooperative Research Program (NCHRP) and Federal Highway Administration (FHWA), among others.

Operating System
Windows 7 – Windows 10, Mac OS X 10.9 (Mavericks), macOS Catalina (10.15), Linux, Google Chrome OS, Android OS 5 (Lollipop) – Android 9 (Pie), iOS 10 – iOS 12, Windows Phone 8+, Windows 8RT+

Web browser
Google Chrome (most recent 2 versions)
Mozilla Firefox (most recent 2 versions)
Internet Explorer v11 (with Adobe Flash if running Windows 7)
Apple Safari (most recent 2 versions)
Microsoft Edge (most recent 2 versions)

Internet connection
1 Mbps or better (broadband recommended)

Hardware
2GB of RAM (minimum), 4GB or more of RAM (recommended)
Microphone and speakers (USB headset recommended)

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