Purpose: To spark new ideas, innovations, and approaches to solving a relevant issue affecting the railroad industry.
Award Amount: $500. The competition winner will also be announced after the conference and recognized by ASME.
Open to: All Registered Participants
Registration Form
How to Attend: Register using the link above by March 26, 2021. You will receive an email to submit your 10-minute pre-recorded video and presentation to the JRC website.
Registration Deadline: March 26, 2021
Submission Deadline: April 2, 2021
Presentations: April 21, 2:35 PM – 3:35 PM
For questions: Please contact the JRC Organizing Committee: Milad Hosseinipour.
This year the JRC will host the 4th Annual JRC Grand Challenge Competition open to all conference attendees. We invite registered participants to propose an idea to the below Grand Challenge Question and present that idea to a panel of industry experts using a 10-minute presentation.
There are multiple pillars of science and technology that run the railroads. They include, but not limit to, Mechanical Engineering, Electrical Engineering, Civil Engineering, and Computer Science. This year, the JRC grand challenge is looking for novel ideas that cross boundaries between one or multiple areas. Examples are Mechatronics, Robotics, Automation, Drones, Data Science, and Artificial Intelligence. These innovative ideas are the cutting edge of changing the status quo in safety, business intelligence, resiliency, green energy, operations, efficiency, and ride quality. The JRC 2021 Grand Challenge asks all researchers and attendees to submit their idea around the topic below.
We have been witnessing increasingly rapid advances in the rail industry during the past 100 years. What would you expect railroading to look like in order to remain competitive and economically, socially, and environmentally relevant in light of the rapid technological evolutions, social and economic changes, and even pandemics such as COVID-19?
The forum is open to ideas that the presenter is working on or believes has enough relevance to the current and future state of railroads. However, attendees should be mindful of the limitations of these technologies within the railroads. For example, implementing a reliable and accurate AI model to provide tangible results for improving PTC requires a significant amount of data. Without access to useful data, the AI model would suffer from poor performance and generality. One should first propose a platform for gathering the required data to train the models.