Please note, not all authors gave permission to post their presentations online.

Tuesday, June 20th

Session 1: Welcome and Safety Briefing
Session 2: Practical use of UAS Technology
2.1 BNSF UAS Operations History and Current State with the Use of UAS in Railway
Michael Mischke - BNSF Railway
Paul Spaur - Pix4D
2.3 Small Unmanned Aircraft for Rail Infrastructure Inspection
Dennis Wierzhicki - Unmanned Experts
El Hachemi Bouali - Michigan Tech University
2.5 UAV-Based Visual Data Analytics for Inspection and Maintenance of Infrastructure Assets
Mani Golparvar-Fard - University of Illinois at Urbana-Champaign
Session 3: Panel: UAS Technology Challenges & Opportunities
Session 4: Autonomous Inspection Technologies & Inspection Solutions
Lariza Stewart - Georgetown Rail Equipment Co.
Allan Zarembski - University of Delaware
4.3 Defects Detections of Railway Track Based On Time-Frequency Analysis By Using Bogie Accerlation Measurements
Xiukun Wei - Beijing Jiaotong University
4.4 Survival Analysis at Multiple Scales for Track Geometry Deterioration Modeling
Negin Alemazkoor - University of Illinois at Urbana-Champaign

The original Session 5 is now moved to Session 15 on Wednesday.

Wednesday, June 21th

Session 6: Track Inspection Vehicles; More Autonomy, More Data, More Information
Cameron Stuart - Federal Railroad Administration
Andrea Berry-Morris - Holland LP
Jack Vogelaar - Fugro
Mohammad Fesharaki - Florida International University
Session 7: Data-Driven Inspections: Imaging & Machine Learning
7.1 Train Inspection Systems at Union Pacific Railroad: Overview, Benefits and Future Path
Tom Bartlett - Union Pacific Railroad
7.2 Railcar Imaging and Inspection Portal
Felix Krupczynski - Duos Technologies
7.3 Application of Image Digitization for Train Motion Monitoring
Chia-Ming Chang & Ching-Long Liao - National Taiwan University
7.4 A Machine Learning Approach for Predicting Arrival Times of Freight Traffic on US Railroads
William Barbour - University of Illinois at Urbana-Champaign
Session 8: Bridge & Structural Inspection Advances
Fernando Moreu - University of New Mexico
8.2 Remote Monitoring of Bridges Struck by Barges and Motor Vehicles
John Orsak - SENSR Monitoring Technologies
8.3 Reference-Free Displacement Estimation with Wireless Smart Sensors for Railroad Bridge Performance
Bill Spencer, Jr - University of Illinois at Urbana-Champaign
Session 9: Future Inspection with Artificial Intelligence & Augmented Reality
9.1 Future Track Inspection Utilizing Artificial Intelligence
Gary Carr - Federal Railroad Administration Jay Baillargeon - Federal Railroad Administration, Track Research Division
Robert Grant - NxGen Rail Services
9.3 New Augmented Reality for Change Detection of Railroad Infrastructure
Fernando Moreu - University of New Mexico David Mascarenas - Los Alamos National Laboratory
9.4 Artifcial-Intelligence-Aided Railway Risk Analysis
Xiang Liu - Rutgers University
Session 10: Rail Flaw and Rail Weld Defect Detection
David Workman- EWI
10.2 An Alternative Method for On-Site Rail Defect Detection During Replacement
Pasi Lautala - Michigan Tech University
10.3 Trends in Automatic Switch Inspection
Frank Brennecke - Mermec
Robert Knox - Epsilon Lambda Electronics Corp
Session 11: Ballast / Geotech
Radim Bruzek - ENSCO, Asger Eriksen - Zetica
11.2 Condition Monitoring of In-Service Railway Ballast Using Machine Vison
Erol Tutumluer - University of Illinois at Urbana-Champaign
11.3 Monitoring Critical London Tube Tunnels With Wireless Tilt Meters
Paul Thurlow - Keller Getec
11.4 Real Time Monitoring of Specialty Geotechnical Construction Techniques on the Rail
Philip Gallet - Hayward Baker
Session 12: Data-Driven Inspections: Collection & Management
Nicolas Flix - Alstom
Alexander Lovett - University of Illinois at Urbana-Champaign Xiang Liu - Rutgers University Rapik Saat - Association of American Railroads
12.3 The Utilization of Emerging Technologies for Track Maintenance Planning on the Canadian National.
Asger Eriksen - Zetica, Dan Colwell - Canadian National
12.4 Proactive Improvement of Conditions for Safe Rail Operations
David Mangold - The University of Akron
Session 13: Advancements in Crosstie Automated Inspection & Evaluation
13.1 Smart Prestressing System for Concrete Crossties
Bassem Andrawes - University of Illinois at Urbana-Champaign
13.2 Tie Program Efficiency Gains with Technology Solutions
Jeb Belcher - Georgetown Rail Equipment Co.
Michael Liesenfelt - Georgetown Rail Equipment Co.
Session 14: Substructure Monitoring & Evaluation
14.1 Trackbed Inspection Technologies
Hamed F. Kashani - HyGround Engineering
14.2 Predicting Railroad Ballast Permeability through Laboratory Testing and Image Analysis
Erol Tutumluer - University of Illinois at Urbana-Champaign
Marcus Dersch - University of Illinois at Urbana-Champaign
14.4 Monitoring Track Performance with Multiple Instrumentation Systems
Stephen Wilk - University of Illinois at Urbana-Champaign
Session 15: Wayside Systems: Running gear
Pasi Lautala - Michigan Technological University
15.2 Accelerating Machine Vision of Truck Components
Matthew Witte - TTCI Monique Stewart - FRA
Pasi Lautala - Michigan Tech University
John M. Hart - University of Illinois at Urbana-Champaign

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