Registration

Call for Posters

Call for Posters

Dubai, April 1–3, 2026

SM2026 invites researchers, students, and industry practitioners to submit poster papers presenting emerging ideas, late-breaking results, prototypes, datasets, and innovative applications in smart mobility, intelligent transportation, and AI-enabled IoT systems.

The poster track provides an excellent opportunity to showcase work, receive feedback from experts, and engage with the international research community in an interactive setting.

Submit Your Poster

Publication

Accepted posters will be included in the official conference proceedings and published in the IEEE Xplore, subject to presentation at the conference and compliance with publication requirements.

Topics of Interest (include but not limited to)
  • Intelligent Transportation Systems (ITS)
  • Smart & Connected Mobility
  • AI/ML for Traffic Analytics and Safety
  • V2X, Edge/Fog/Cloud for Mobility
  • Autonomous & Cooperative Driving
  • Smart Cities and Digital Twins
  • IoT Sensing, Cyber-Physical Systems
  • Mobility Data Analytics and Optimization
  • Sustainable & Barrier-Free Mobility
  • Industrial Demonstrators and Prototypes
Who Should Submit?
  • Graduate and undergraduate students
  • Early-stage research projects
  • Industry demos and applied solutions
  • Work-in-progress or novel concepts
Submit Your Poster

Important Dates

1

Feb, 2026

Submission Opens

25

Feb, 2026

Submission Deadline

1

Mar, 2026

Notification

1-3

Apr, 2026

Conference Dates

Poster Submissions Guidelines

  • Maximum 2 pages, IEEE conference format
  • Include figures, results, and references within page limit
  • PDF submission via the conference system
  • Posters must be presented in person

We strongly encourage participation from academia, industry, and government partners worldwide.

For questions, please contact the Poster Chair or visit the conference website.

We look forward to your submissions and to welcoming you in Dubai!

Panel Title: Engineering and Societal Adoption Challenges of Automated Driving Systems
IEEE International Conference on Smart Mobility (IEEESM)
IEEESM'23 Registration
Across the globe, there are tens of companies pursuing the development of automated driving systems (ADS), ranging over SAE Driving Automation Levels 3-5. There are several open engineering challenges of ADS software – particularly in development and validation of ADS operation in challenging weather conditions, critical corner cases, dealing with a variety of pedestrians and traffic conditions, and cooperation with human operated vehicles. Many standards (e.g., ISO 26262, ISO 21448) are emerging providing guidelines to ensure safety of ADS under the intended operating conditions. On the other hand, there are societal concerns that technological advancements such as ADS and robotics might bring in, e.g., people being out of work, competing with automation etc.. Initiatives like Partners for Automated Vehicle Education (PAVE) aim to alleviate such concerns by educating public and policymakers on pros and cons of automated driving systems. This panel discussion will focus on ADS engineering and societal adoption challenges and offer some possible solutions.
Ramesh S Senior Technical Fellow, General Motors, USA
Panel Moderator
Arun Adiththan Senior Researcher, General Motors, USA
Panel Moderator
Panel Description
Overlay Image
Panel Title: Engineering and Societal Adoption Challenges of Automated Driving Systems
IEEE International Conference on Smart Mobility (IEEESM)
IEEESM'23 Registration
Across the globe, there are tens of companies pursuing the development of automated driving systems (ADS), ranging over SAE Driving Automation Levels 3-5. There are several open engineering challenges of ADS software – particularly in development and validation of ADS operation in challenging weather conditions, critical corner cases, dealing with a variety of pedestrians and traffic conditions, and cooperation with human operated vehicles. Many standards (e.g., ISO 26262, ISO 21448) are emerging providing guidelines to ensure safety of ADS under the intended operating conditions. On the other hand, there are societal concerns that technological advancements such as ADS and robotics might bring in, e.g., people being out of work, competing with automation etc.. Initiatives like Partners for Automated Vehicle Education (PAVE) aim to alleviate such concerns by educating public and policymakers on pros and cons of automated driving systems. This panel discussion will focus on ADS engineering and societal adoption challenges and offer some possible solutions.
Ramesh S Senior Technical Fellow, General Motors, USA
Arun Adiththan Senior Researcher, General Motors, USA
Panel Moderator
Panel Description
Panel Moderator
Overlay Image