Shilp Dixit
About Shilp Dixit
Shilp Dixit is a Senior Control Engineer with extensive experience in automotive engineering and research. He has worked in various roles across multiple countries, focusing on path planning, optimization, and control systems for autonomous vehicles.
Work at Vay
Shilp Dixit currently holds the position of Senior Control Engineer at Vay, a role he has occupied since 2022. His work focuses on enhancing the control systems essential for autonomous vehicle navigation. He contributes to the development of advanced algorithms and techniques that improve the efficiency and safety of autonomous driving.
Education and Expertise
Shilp Dixit has a robust educational background in engineering. He earned a Doctor of Philosophy (PhD) in Automotive Engineering from the University of Surrey from 2016 to 2019. Prior to that, he completed his Master of Science (MSc) in Automotive Technology at Technische Universiteit Eindhoven from 2013 to 2015. He also holds a Bachelor of Engineering in Information Technology from the University of Mumbai, achieved from 2006 to 2010. His expertise includes model predictive control, trajectory tracking, and adaptive control, which are vital for the development of autonomous vehicles.
Professional Background
Shilp Dixit has accumulated diverse experience in the automotive and engineering sectors. He worked as a Vehicle Dynamics Engineer at ARRIVAL from 2020 to 2022. Prior to that, he served as an Associate Research Engineer at Flanders Make for eight months in 2016. His earlier roles include a Business Technology Analyst at Deloitte Consulting from 2010 to 2012 and a Special Project Assistant at Tata Motors from 2012 to 2013. He also completed internships at DAF Trucks NV and Deloitte Touché Tohmatsu India Pvt. Ltd.
Research Experience
During his academic career, Shilp Dixit engaged in significant research activities. He was a PhD Researcher at the University of Surrey from 2016 to 2019, focusing on topics relevant to automotive engineering. Additionally, he completed his graduation thesis at the Automotive Sciences Lab at Technische Universiteit Eindhoven in 2015. His research has contributed to advancements in control systems for autonomous vehicles.