Venue

This year’s edition of IEEE SM is proudly hosted at

The Canadian University Dubai (CUD), Dubai, UAE!

Dubai’s significance as a venue for international conferences and events lies in its unparalleled blend of innovation, global connectivity, and vibrant cultural experiences. As a hub for technology and future-forward initiatives, Dubai offers a dynamic environment perfectly aligned with the themes of Smart Mobility. Beyond its impressive skyline and modern infrastructure, Dubai is a city that embraces diversity, offering visitors a unique fusion of traditional charm and futuristic vision. Explore world-class attractions, from the iconic Burj Khalifa to the historic Al Fahidi neighborhood, indulge in exquisite dining, and experience unparalleled hospitality. With its strategic location and continuous drive for excellence, Dubai promises an enriching and unforgettable experience for attendees from around the globe.

The Canadian University Dubai

The Canadian University Dubai (CUD) provides an inspiring and state-of-the-art environment for the IEEE SM 2025 conference. As a leading institution committed to academic excellence and research, CUD offers world-class facilities designed to foster collaboration and knowledge exchange.

Located in the heart of Dubai, CUD boasts modern lecture halls, advanced laboratories, and comfortable common areas, ensuring a seamless and productive conference experience for all participants. Its accessible location within the city makes it convenient for both local and international attendees.

Join Us at the Canadian University Dubai!

We invite you to join us at the Canadian University Dubai for an unforgettable conference experience. CUD provides a stimulating backdrop that will inspire conference attendees. With an unmatched location in one of the world’s most dynamic cities, cutting-edge facilities boasting state-of-the-art conference amenities, and a dedicated team committed to exceptional hospitality, the IEEE SM for 2025 promises participants an outstanding experience.

Whether you’re seeking inspiration, networking opportunities, or simply a chance to connect with industry leaders and innovative thinkers in the field of Smart Mobility, this event promises to be a highlight of the year.

The Crowne Plaza Niagara Falls-Fallsview

Crowne Plaza Niagara Falls provides a stunning backdrop that will inspire conference attendees.

Panel Title: Engineering and Societal Adoption Challenges of Automated Driving Systems
IEEE International Conference on Smart Mobility (IEEESM)
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)
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