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Overview

The infrastructure construction industry is in dire need for adopting new technologies to improve efficiency, safety and durability of highways and road systems. Intelligent construction techniques and technologies can improve the longevity and performance of transport and road infrastructure by collecting, storing, analyzing and processing data and information during and after construction. Digitization of construction process and use of big data analytics help with optimized utilization of road infrastructure. These technologies include 3D machine control, Automated Machine Guidance (AMG), high precision surveys, Light Detection and Ranging (LIDAR), Intelligent Compaction (IC), Building Information Modelling (BIM), 3D design and modelling, real-time field monitoring, pavement thermal profiling and underground utility management.

The main goal of this online training is to introduce the fundamentals of intelligent construction techniques for road infrastructure. Different aspect of road infrastructure construction in terms of machinery and equipment, data sources, performance monitoring and decision making will be discussed. Moreover, the most recent intelligent construction technologies for roadways will be introduced to showcase their capabilities in digitizing and automating the construction process.

Participants will be guided through various interactive course modules and tutorials to gain the skills and knowledge for successful development and implementation of intelligent construction techniques for roadway infrastructure. Roadway professionals, highway practitioners and local highway agency engineers will learn and benefit from the various aspects of intelligent construction that can be employed and implemented in their daily operations.

Why Online?

• Earn 16 Professional Development Hours
• Expert training by professionals for Professionals: access IRF’s unique curriculum and lectures developed by world-class specialists
• Accelerated learning processes: get up to speed and gain new insights in less time and with no travel constraints
• Full access to learning materials and session recordings
• Small classrooms & scheduled One-on-One sessions with instructors
• Self-paced options available
• Interactive group projects and case studies
• Receive IRF Certification

Format

Lectures will be taught over a three-week period with live 2-hour online sessions held on Tuesdays and Thursdays of each week. 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.

Learning Objectives

• Understand the fundamental concepts related to intelligent construction
• Learn about the intelligent construction technologies and techniques for roadways and highways
• Become familiar with various sources of data and tools used for intelligent construction
• Learn about the emerging topics in intelligent construction for roadway infrastructure applications
• Become familiar with the tools to implement and execute intelligent construction technologies

Target Audience

• Local and Rural Road Authorities
• Executive Highway and Transportation Engineers
• Road/Highway Design Engineers and Consultants
• Transportation Infrastructure Contractors
• Road/Highway Authorities & Operators
• Materials and QC/QA Engineers
• Transportation Infrastructure Practitioners

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Lectures will be taught over a three-week period with live 2-hour online sessions held on Tuesdays and Thursdays of each week.

Tuesdays & Thursdays (12:00 PM– 2:00 PM US EST / 4:00 – 6:00 PM GMT)

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LEAD INSTRUCTOR
Mehran Mazari, Ph.D.
Assistant Professor, California State University Los Angeles

Dr. Mehran Mazari is an Assistant 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.

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Computer Requirements

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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