Applied Sciences Webinar | On Board Monitoring for the Condition Assessment of the Railway Infrastructure, 13 November 2026

The continuous operation, safety, and efficiency of modern railway networks depend heavily on the structural integrity of their infrastructure, particularly bridges and tracks. While traditional visual inspections and direct structural health monitoring (SHM) systems are fundamental, they can be resource-intensive and difficult to scale across extensive networks. This webinar, “On board monitoring for the condition assessment of the railway infrastructure”, explores state-of-the-art methodologies that utilize train-mounted sensors (drive-by monitoring) to assess the condition of railway assets continuously and cost effectively.

Gathering leading international experts and emerging researchers, this session will delve into the latest advancements in data-driven modelling, machine learning, and digital signal processing applied to vibration data collected by mobile sensors. The presentations will cover critical topics such as anomaly detection, vehicle–infrastructure interaction, and remote inspection techniques. By bridging the gap between advanced computational mechanics and practical field applications, this webinar aims to provide innovative, actionable frameworks for the predictive maintenance and structural integrity management of railway bridges and tracks.

Date: 13 November 2026 at 2:00 p.m. CET | 8:00 a.m. EST | 9:00 p.m. CST Asia
Webinar ID: 816 1812 3266
Landing Page: https://sciforum.net/event/ApplSci-31

Program:

Speaker	Presentation Title	Time in CET	Time in EST	Time in CST Asia
Prof. Dr. Diogo Ribeiro	Chair Introduction	2:00–2:05 p.m.	8:00–8:05 a.m.	9:00–9:05 p.m.
Prof. Dr. Abdollah Malekjafarian	Onboard Monitoring for Intelligent Assessment of Railway Tracks	2:05–2:25 p.m.	8:05–8:25 a.m.	9:05–9:25 p.m.
Prof. Dr. Hitoshi Tsunashima	Data-Driven Approaches for Railway Track Irregularity Estimation	2:25–2:45 p.m.	8:25–8:45 a.m.	9:25–9:45 p.m.
Cássio Bragança	Onboard Monitoring System for Railway Infrastructure: Part 1 – Experimental system design and track anomaly detection	2:45–2:55 p.m.	8:45–8:55 a.m.	9:45–9:55 p.m.
Dr. Thiago Fernandes	Onboard Monitoring System for Railway Infrastructure: Part 2 – Track and bridge anomaly detection	2:55–3:05 p.m.	8:55–9:05 a.m.	9:55–10:05 p.m.
	Q&A Session	3:05–3:30 p.m.	9:05–9:30 a.m.	10:05–10:30 p.m.
Prof. Dr. Diogo Ribeiro	Closing of Webinar	3:30–3:35 p.m.	9:30–9:35 a.m.	10:30–10:35 p.m.

After registering, you will receive a confirmation email containing information on how to join the webinar. Registrations with academic institutional email addresses will be prioritized.

Unable to attend? Register anyway and we’ll let you know when the recording is available to watch.

Webinar Chair and Keynote Speakers:

Prof. Dr. Diogo Ribeiro, School of Engineering, Polytechnic of Porto, Porto, Portugal;
Prof. Dr. Abdollah Malekjafarian, School of Civil Engineering, University College Dublin, Dublin, Ireland;
Prof. Dr. Hitoshi Tsunashima, Centre for Railway Research, Nihon University, Tokyo, Japan;
Cássio Bragança, Department of Structural and Geotechnical Engineering, University of São Paulo, São Paulo, Brazil;
Dr. Thiago Fernandes, Civil Engineering, Universidade Federal de Santa Catarina, Florianópolis, Brazil.