Authors early bird registration deadline 09.05.2021
Authors late registration deadline 16.05.2021

Workshop “Artificial Intelligence for RAILwayS”

The 2nd International Workshop on “Artificial Intelligence for RAILwayS” in 2021 (AI4RAILS2021)

 

The impact of Artificial Intelligence (AI) techniques on industry has been so disruptive that it gave rise to a new wave of research and applications. Several industries, mainly in logistics and manufacturing, have benefited significantly from AI adoption and this positive trend is planned to be kept in the future. Modern and future railways represent one of the fields in which AI is expected to have a significant impact in a medium to long term perspective, in order to get higher levels of automation of railway processes. On the one hand, this opens for unprecedented scenarios for railway systems, and on the other hand, it also raises concerns regarding system dependability and new threats associated with a high level of autonomy.

 

Therefore, the first step towards the adoption of AI in the railway sector is understanding to what extent AI can be considered effective, reliable, safe and secure. In such a context, building upon the ongoing Shift2Rail project RAILS (Roadmaps for the AI integration in the raiL Sector, https://rails-project.eu/), the aim of AI4RAILS is to provide a forum for researchers and practitioners to discuss and share new perspectives, ideas, technologies and solutions for an effective and dependable integration of AI techniques in rail-based transport systems. The workshop is addressing topics related to the adoption of artificial intelligence technologies in railway transport. AI4RAILS is set to showcase AI opportunities over the holistic railway system including traffic planning and management, passenger mobility, predictive maintenance, autonomous driving, transport  safety and policy, and including mainline and high-speed railways, metro, tram, and hyperloop.

 

The program includes:

 

  • Keynote speaker: Dr. Nenad MIJATOVIĆ, Head of Data Science, Alstom
  • Technical sessions: For the detailed program go to https://www.euro-online.org/conf/euro31/program, and select Stream: The 2nd International Workshop on Artificial Intelligence for RAILwayS (AI4RAILS)

 

Keynote talk

Monday 10:30-12:00 (MB-49)

Data Science in Alstom: Our Road from Mobility Leader to Digital Giant
Dr. Nenad MIJATOVIĆ, Head of Data Science, Alstom
Abstract
In this talk, Dr. Nenad MIJATOVIC is going to provide real-life experience on how data science has been used to accelerate digitalization in Alstom. Nenad will share Alstom’s insights on building successful data science teams, delivering proper ML and AI software modules, and dealing with data challenges in mobility. Also, he will provide some specific examples of ML and AI algorithms used to solve complex problems from data.

 

Bio 

Dr. Nenad MIJATOVIĆ is the Head of Data Science in Alstom. He has over 20 years of algorithm development experience in a variety of areas, such as statistics, numerical optimization, machine learning, AI, and causality. Before joining Alstom, Nenad has held several R&D and leadership positions in the industry, from startups to blue-chip companies. Dr. Mijatovic’s interests are applying machine learning and AI methods for industrial applications. In his current position, Nenad leads Alstom’s data science teams responsible for delivering industrial-grade ML and AI algorithms for maintenance, operations, energy, and city flow solutions.

 

Workshop organizers

Rob Goverde, Delft University of Technology, Netherlands

Nikola Bešinović, Delft University of Technology, Netherlands

Egidio Quaglietta, Delft University of Technology, Netherlands

Zhiyuan Lin, University of Leeds, United Kingdom

 

Official contact email: rails.project@outlook.com

 

Special issue

Presenters at the AI4RAILS will be invited to submit the complete versions of their manuscripts to a special issue in a high-level transport/AI journal. More detailed information about the journal title and deadlines will be announced soon.