Co-Founder
Dr. Buttlar is the managing partner of Tiger Eye Engineering and a Professor of Civil Environmental Engineering at the University of Missouri-Columbia, where he holds the Glen Barton Endowed Faculty Chair in Flexible Pavements. He is also the Founding Director of the Missouri Center for Transportation Innovation, and Editor-I
Co-Founder
Dr. Buttlar is the managing partner of Tiger Eye Engineering and a Professor of Civil Environmental Engineering at the University of Missouri-Columbia, where he holds the Glen Barton Endowed Faculty Chair in Flexible Pavements. He is also the Founding Director of the Missouri Center for Transportation Innovation, and Editor-In-Chief of the International Journal of Road Materials and Pavement Design. Dr. Buttlar specializes in pavement evaluation and design, modeling and machine learning, material characterization, pavement management systems, and pavement sustainability and resilience. Dr. Buttlar has served as the project manager/technical lead for many pavement evaluation, design and management projects for various state highway agencies, tollways, and cities across the United States over the past 3 decades.
Co-Founder
Dr. Adu-Gyamfi is an assistant professor in the Civil and Environmental Engineering Department at University of Missouri – Columbia and a managing partner of Tiger Eye Engineering. Dr. Adu-Gyamfi is a national expert in the application of AI for highway transportation. He is one of 30 members selected by the National Academ
Co-Founder
Dr. Adu-Gyamfi is an assistant professor in the Civil and Environmental Engineering Department at University of Missouri – Columbia and a managing partner of Tiger Eye Engineering. Dr. Adu-Gyamfi is a national expert in the application of AI for highway transportation. He is one of 30 members selected by the National Academies’ Transportation Research Board to serve as a member of the standing committee on Artificial Intelligence. He is also the recipient of the prestigious NSF CAREER grant for advancing machine learning and big data analytics methods in transportation. Dr. Adu-Gyamfi has served as PI or co-PI on more than $5 million funded projects from State agencies, NSF, DOTs, FHWA and USDOT- Exploratory Advanced Research. He has a successful track record in developing cutting-edge database solutions, and data products geared towards improving transportation systems management and operations.
Co-Founder
Dr. Majidifard’s project experience includes the development and deployment of machine learning techniques to evaluate pavement and infrastructure conditions, rating, and roughness. He has undertaken several projects to develop programming approaches that utilize machine learning techniques to forecast low and high-temperatur
Co-Founder
Dr. Majidifard’s project experience includes the development and deployment of machine learning techniques to evaluate pavement and infrastructure conditions, rating, and roughness. He has undertaken several projects to develop programming approaches that utilize machine learning techniques to forecast low and high-temperature asphalt mixture performance properties. He has also applied deep learning techniques to create a highly automated pavement evaluation and monitoring system, following ASTM procedures. A full software suite has also been developed, which allows seamless integration of collected data and condition ratings into visualization software and client-specific GIS platforms.
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