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Prof. Maria Rosaria De Blasiis

Department of Engineering, Roma Tre University, Via Vito Volterra 62, 00146 Rome...

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Maria Rosaria De Blasiis is a full professor of roads, railways, and airports at the Department of Engineering of Roma Tre University. Professor De Blasiis graduated in Civil Engineering—Transportation Section at the University of Roma La Sapienza and completed her PhD degree in "Designing and environmental evaluation of the road infrastructures". Her main objects of study concern the environmental aspects of infrastructures, project management for safety, and road pavement technologies with special attention to rehabilitation and maintenance. She has been studying the application of advanced methods and technologies for infrastructure analysis: neural network for accident prediction, quality standard of road assessment in virtual reality, pavement diagnosis with advanced technologies, and monitoring and managing using emerging sensing such as 2D imaging, 3D laser, and LiDAR. On these subjects, she has published many papers in sectorial journals and has held international conferences.

Research Keywords & Expertise

Road Safety
road design
Construction and infra...
Pavement design and ma...
Environmetal analysis

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Road Safety
11%
road design

Short Biography

Maria Rosaria De Blasiis is a full professor of roads, railways, and airports at the Department of Engineering of Roma Tre University. Professor De Blasiis graduated in Civil Engineering—Transportation Section at the University of Roma La Sapienza and completed her PhD degree in "Designing and environmental evaluation of the road infrastructures". Her main objects of study concern the environmental aspects of infrastructures, project management for safety, and road pavement technologies with special attention to rehabilitation and maintenance. She has been studying the application of advanced methods and technologies for infrastructure analysis: neural network for accident prediction, quality standard of road assessment in virtual reality, pavement diagnosis with advanced technologies, and monitoring and managing using emerging sensing such as 2D imaging, 3D laser, and LiDAR. On these subjects, she has published many papers in sectorial journals and has held international conferences.