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The transition to electric and autonomous vehicles is transforming the transportation sector, offering solutions to some of the most pressing environmental challenges, including air pollution and fossil fuel dependence. This program introduces participants to the technological advancements in electric vehicles (EVs) and autonomous vehicles (AVs), covering battery technologies, powertrain systems, and AI-driven autonomous navigation. Participants will explore how these technologies contribute to reducing carbon emissions, improving transportation efficiency, and supporting global sustainability goals.
Through a combination of lectures, and case studies, the program covers the integration of EVs and AVs into smart cities, examining their impact on urban mobility and energy consumption. Participants will also gain insights into the regulatory frameworks, ethical considerations, and infrastructure requirements for widespread EV and AV adoption. By the end of the program, participants will have the knowledge and skills to contribute to the development of sustainable transportation solutions.
This program aims to equip participants with a comprehensive understanding of electric and autonomous vehicles (EVs and AVs) and their role in creating sustainable transportation systems. It focuses on the technologies driving electric mobility and autonomous navigation, exploring their potential to reduce emissions, enhance energy efficiency, and promote sustainability.
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
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