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Artificial Intelligence and Machine Learning Applications in Transportation Industry
Nov 24, 2025 - Nov 28, 2025
| Istanbul, TurkiyeOverview
This course introduces artificial intelligence (AI) and machine learning (ML) different applications in transportation industry with emphasis on roadway and bridge conditions reporting, analysis, and decision-making optimization. The course includes detailed information relevant to different types of AI and their applications, ML algorithms used in transportation industry and relevant types of data required for developing ML models for optimized selection of project types, mitigating short- and long-term problems, and optimize preventative maintenance and maintenance, repair, and replacement (MR&R) activities required during the transportation project life cycle.
Learning Objectives
- Develop a foundational understanding of road asset management principles, concepts, and terminology, including the lifecycle approach to managing road infrastructure assets.
- Acquire knowledge of the key components of road asset management, and relevant data required to form inventories for pavement and bridge management systems.
- Understand the difference between various types of artificial intelligence and their possible role in transportation industry.
- Develop a strong background relevant to machine learning different techniques and algorithms required for infrastructure asset management including regression, clustering, decision trees, random forests, and neural networks.
- Develop basic understanding to coding principles using Python.
- Import big data sheets and develop correlations between different variable using Python.
- Master data analysis and data visualization to assist in decision making.
Target Audience
- National /State Road & Transport Engineers
- Highway Engineers and Managers
- Private Consultants & Contractors
Agenda
(9:00 AM – 4:00 PM)
View the Artificial Intelligence and Machine Learning Applications in Transportation schedule & directory.Instructor
Dr. Amin K. Akhnoukh
Dr. Amin Akhnoukh is a professor of construction engineering and management at East Carolina University, North Carolina, USA. Dr. Akhnoukh earned his B.S. in Civil Engineering (1997) from Cairo University, M.S. in Civil Engineering from Kansas State University (2005), Kansas, USA, and Doctorate in Construction Engineering (2008) from the University of Nebraska-Lincoln, Nebraska, USA. Dr. Akhnoukh has worked as an assistant and associate professor of civil and construction engineering at the University of Arkansas at Little Rock (2009-2017) and as associate and professor of construction management (2018-todate) at East Carolina University. Dr. Akhnoukh has generated more than $3.0 million in research funding from the National Science Foundation, NASA, and State Departments of Transportation. Dr. Akhnoukh has more than 100 refereed publications in the area of construction materials, infrastructure asset management, and artificial intelligence applications in construction. Dr. Akhnoukh has more than 10 years of construction experience in Egypt, the middle east, and the United States. He is a registered professional engineer in Egypt and the United States, and a NASA and IRF Fellow.
Venue & Hotel
DoubleTree by Hilton Istanbul Old Town
Address: Ordu Cad. No: 31, 34130 Beyazıt-Istanbul
