Moderator for 350

Date and Time: Wednesday, July 20: 1:30 PM - 5:00 PM
Location: Grand A-D

Dimitris Assanis

Assistant Professor, Stony Brook University

PRESENTATION DESCRIPTION

This year our breakout session will focus on understanding the technical and regulatory opportunities to achieve improvements in energy efficiency and a reduction in GHG emissions for automated vehicles. We will focus on beyond the drivetrain enabling technologies and optimization for energy minimization of automated vehicles. Additionally we will examine new changes in regulations and policy to promote AV efficiency and decrease energy usage. The session will conclude with an open panel discussion of the speakers to amalgamate the thoughts of industry groups, regulators, academics, and public interest groups.

SPEAKER BIOGRAPHY

Dr. Assanis is an Assistant Professor of Mechanical Engineering at Stony Brook University, an Affiliate of the Institute for Advanced Computational Science and the Director of the Advanced Combustion and Energy System Laboratory. Dr. Assanis’ research expertise encompasses the development and application of advanced experimental techniques, such as optical diagnostics for combustion and spray imaging, as well as computational fluid dynamics (CFD) models aimed at improving fuel-air mixing, ignition and combustion of alternative, low carbon, and solid biomass fuels. The ultimate goal of his group’s efforts is to improve the efficiency and reduce the emissions of energy conversion, power generation and propulsion systems. Dr. Assanis is well versed working with large data sets and HPC clusters to uncover complex intertwined phenomena in a variety of advanced energy and emission related focuses. Specifically, his group has used Large Eddy Simulations (LES) to explore the fluid-structure interactions between physical geometries and both reacting and non-reacting fluid flow fields in systems. He has also previously worked to quantify the energy and emissions implications of connected and automated vehicles in a realistic transportation network environment through processing of large data sets. Lastly, he was actively involved with a big data effort by mining comprehensive financial databases to determine transactional relationships of the smart mobility ecosystem as it was forming in the early 2010s.

PRESENTATION FILE