Panel Discussions

Nimrod Barshad
Sculptor, Conceptual Artist
Nimrod Barshad
Painter, Conceptual Artist
Tommy Martinez
Painter, Conceptual Artist

Panel Discussions


Alaa Khamis
AI & Smart Mobility Technical Leader at General Motors, Canada

Opportunities and Challenges of Smart Mobility in the MENA Region

Middle East and North Africa (MENA) is a diverse region with a large young population and rich natural and financial resources. In this region, there is a growing population shift from rural to urban areas driven by social and economic needs. This urbanization led to massive people and cargo mobility challenges and several negative impacts in cities related to road safety, congestion, and emissions.  Several smart mobility technologies and business models are emerging to deal with these negative implications. These technologies include, but are not limited to green mobility, shared mobility, connected mobility, assisted and automated mobility, Mobility-as-a-Service (MaaS), micromobility and last-mile delivery. Several smart mobility services are enabled based on new business models such as sharing economy, gig economy and passenger economy. This panel discusses the opportunities and challenges of emerging smart mobility technologies and business models in the MENA region. The panel also addresses how government, city planners, and technologists can work together to respond to changes in people and cargo mobility systems and services in the MENA region.


Mel Torrie
President/CEO – Autonomous Solutions, Inc. (ASI), USA
How are industrial autonomous vehicles and AI deployed in markets like Mining, Agriculture, Material Handling, and Construction accelerating transportation AV rollouts?

Mel Torrie CEO of Autonomous Solutions Inc. will share how the lessons learned over 20 years in deploying autonomous vehicles in Mining, Farming, Logistics, and Construction are paving the way for more rapid deployment of safe and reliable AV’s in other markets such as human and goods transportation. Learn how advances in AI, Machine Learning, and sensor technologies have helped overcome challenges that all autonomous applications face. Come to understand how old and new, driver and driverless vehicles are coexisting in safe and productive ways on the same roads and environments for graceful transition to the future full autonomous reality.


Arun Adiththan
Senior Researcher, General Motors, USA


Ramesh S
Senior Technical Fellow, General Motors, USA

Engineering and Societal Adoption Challenges of Automated Driving Systems

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.

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