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Dr. Rui Teixeira

Assistant Professor (Civil Struct & Env. Eng.)
CIVIL ENGINEERING BUILDING (NEW)
      
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Dr. Rui Teixeira

Assistant Professor (Civil Struct & Env. Eng.)
CIVIL ENGINEERING BUILDING (NEW)

 RUI.TEIXEIRA@tcd.ie

 3531896 1146


Dr. Rui is an E3 Assistant Professor in the Department of Civil, Structural and Environmental Engineering, Trinity College Dublin. He obtained his PhD in the fields of structural reliability and probabilistic analysis, and has both academic and industry experience. His research focusses on the assessment of the risk and resilience of critical infrastructure systems. He has large expertise in the fields of probability theory and is interested on the application of computational methodologies and digitization to enhance the resilience and risk tolerance of civil infrastructure systems. For this, he leverages his expertise in the fields of uncertainty quantification, system optimisation, probabilistic methods, machine learning and AI, or structural systems. He has authored multiple scientific paper in the most prestigious journals of his field, including Book Chapters, and several peer-reviewed conference publications. He is also a resilience fellow in the 4TU in the Netherlands, and also a visiting Professor at University College Dublin. In the past Rui was a visiting professor in Chang'an University in Xi'an, China, and has served as the director of a Centre for Critical Infrastructure Research (CCIR). He also held the prestigious Marie Sklodowska-Curie scholarship and has collaborated in several national and international research projects, having also completed different roles in teaching; such as, module coordination, lecturing, or supervision of students.
  Applied probability   Civil Engineering   Decision Making in Uncertainty   Reliability (Engineering)   Renewable energy   Risk and resilience   Structural Engineering   Structural Safety   Structure Reliability
Language Skill Reading Skill Writing Skill Speaking
Portuguese Fluent Fluent Fluent
Spanish Fluent Fluent Fluent
Kandiri A., Ghiasi R., Nogal M., Teixeira R., Travel time prediction for an intelligent transportation system based on a data-driven feature selection method considering temporal correlation, Transportation Engineering, 18, 2024, Journal Article, PUBLISHED  DOI
Teixeira R., Martinez-Pastor B., Incremental learning of parameter spaces in machine-learning based reliability analysis, Reliability Engineering and System Safety, 245, 2024, Journal Article, PUBLISHED  DOI
Fang Y., Min H., Wu X., Wang W., Zhao X., Martinez-Pastor B., Teixeira R., Anomaly diagnosis of connected autonomous vehicles: A survey, Information Fusion, 105, 2024, Journal Article, PUBLISHED  DOI
Shang Y., Nogal M., Teixeira R., Wolfert A.R.R.M., Extreme-oriented sensitivity analysis using sparse polynomial chaos expansion. Application to train"track"bridge systems, Reliability Engineering and System Safety, 243, 2024, Journal Article, PUBLISHED  DOI
Lu L., Chu X., Guo A., Fang Y., Martinez-Pastor B., Teixeira R., Cross-Vehicle Federated Learning for Unsupervised Scoring of Driver Behavior Under Privacy Constraint, IEEE Internet of Things Journal, 2024, Journal Article, PUBLISHED  DOI
Fang Y., Min H., Wu X., Zhao X., Wang X., Li G., Teixeira R., Resilience-Oriented Oscillation Dampening for Connected Autonomous Vehicle Platoons, IEEE Transactions on Vehicular Technology, 73, (11), 2024, p16024 - 16040, p16024-16040 , Journal Article, PUBLISHED  DOI
Bakhshian E., Teixeira R., Martinez-Pastor B., A day-to-day evacuation model to maximise transport resilience under dynamic hazards, Transportation Letters, 16, (10), 2024, p1224 - 1236, p1224-1236 , Journal Article, PUBLISHED  DOI
Zhao X., Fang Y., Min H., Wu X., Wang W., Teixeira R., Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective, Expert Systems with Applications, 236, 2024, Review, PUBLISHED  DOI
Fang Y., Teixeira R., Min H., Lei X., Chen S., Zhao X., A Safety Enhancing Framework for Autonomous Vehicles with a Resilience Rationale", 7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023, 2023, p1699 - 1705, p1699-1705 , Conference Paper, PUBLISHED  DOI
Min H., Fang Y., Wu X., Lei X., Chen S., Teixeira R., Zhu B., Zhao X., Xu Z., A fault diagnosis framework for autonomous vehicles with sensor self-diagnosis, Expert Systems with Applications, 224, 2023, Journal Article, PUBLISHED  DOI
  

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