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Session I – Infrastructure
Do We See the Infrastructure Forest for the Trees?
Sean Woody, Federal Railroad Administration, DOT
Using Comprehensive Tools to Relate Vehicle Design, Operations, and Infrastructure
Michael Craft, MxV Rail
Rail Infrastructure Diagnostics and Prognostics Using Big Data
Daniel Kleman, BNSF
Session II – Inspection and Maintenance Methods
Can Autonomous Track Geometry Inspection Replace Traditional Manual Track Inspection? An Industry Update
Brad Kerchof, Advanced Rail Management
3D Printing Rail Surface for On-Site Repair
Zhiyong “John” Wang, U. of Nevada, Las Vegas (UNLV)
Condition Based Maintenance of Primary Electrical Systems
Guy Rini, GTR Development
Session III – High-speed Rail
Improving Trackside Inspection of Rolling Stock Using a Track Crawler Robot: A Step Toward Better Diagnosis and Prognosis of Railcars
Michael Molzon and Mehdi Ahmadian, Railway Technologies Laboratory, Virginia Tech
Development of a Framework for Determination of Access Charges on a Shared High-Speed Rail (HSR) Corridor Using VISSIM Simulation
Mohamed Kaseko and Komal Sree Teja Boyapati, U. of Nevada, Las Vegas (UNLV)
Delivering the Nation’s First 200 mph+ High-Speed Rail System, The California High-Speed Rail
Rikkito “Rik” Lor, WSP
Session IV – System Management
Automated Data Processing for Predictive Analytics and State of Good Repair/Railroad Capital Planning
Yiqun Tian and Ivan Aragona, ENSCO
Positive Train Control System Management
Martins Efemuai, California High-speed Rail Authority
Theory Guided Data Science and Railway Informatics
Nii Attoh-Okine, U. of Delaware
Session V – Track Geometry Measurements
Development of Adjustable Perturbation Slab Test Track for Track Geometry Measurement System Evaluation
Ali Tajaddini, Federal Railroad Administration, DOT
A Data Driven Approach to Predicting Rail Transverse Profile Shape
Joe Palese, U. of Delaware
Early Diagnosis of Track Stability through Non-contact LiDAR Measurements and Unsupervised Machine Learning Algorithms
Ahmad Radmehr and Mehdi Ahmadian, Railway Technologies Laboratory, Virginia Tech
Keynote Speech
AAR’s Strategic Research Initiatives and Workforce Development
Gonzales, Kari
Aragona, Ivan
Product Manager/Automated Maintenance Advisor/Virtual Track Walk, ENSCO Inc.
Originally from Brazil, living in the United States since 2008, Ivan Aragona is a Railroad Researcher with Master’s degree in Railroad Engineering. He is an active member of the AREMA Track Measurement and Assessment Systems (Committee 2) with research experience on wheel performance, ties, fasteners, rail wear, track geometry and rail neutral temperature. Part of the ENSCO team since 2019, Ivan is a Product Manager leading two of the ENSCO Solutions: Automated Maintenance Advisor and Virtual Track Walk helping the railroads across the World to alleviate maintenance planning challenges through centralized data management and reporting tools that integrate all information and provide intelligent decision making.