My Work & Professional Experience:

Check out my CV and LinkedIn profile:

Jul 2021 – Present

San Jose, CA

Postdoctoral Researcher

I work closely with Dr. Behzad Dariush (Chief Scientist & Director) on the applications of reinforcement learning in prediction and behavior planning for urban autonomous driving.

May 2020 – Jul 2021

Stanford, CA

Visiting Researcher

I was hosted at Stanford Intelligent and Interactive Autonomous Systems Group (ILIAD) and honored to be working with Dr. Dorsa Sadigh and Dr. Ramtin Pedarsani (UCSB). Outcomes of our work on the interaction between cooperative autonomous vehicles and humans are presented in our IROS 2021 and CVPR 2021 papers.

May 2019 – Jan 2020

Sunnyvale, CA

Research Intern

  • Autonomous Driving – Deep Learning team: I worked at the Behavioral Planning group with Dominik Petrich and Stanislaw Antol who helped me to initiate the ”Scene Understanding” software package in C++ and propose a method for relational reasoning between humans & vehicles. My internship work led to 2 patents filed by Daimler AG with me as the lead inventor.
Behrad Toghi

Behavioral Planning team at MBRDNA headquarters in Sunnyvale, CA

Behrad Toghi

Self-driving Mercedes-Benz S-Class on a test day in San Jose, CA

May 2018 – Aug 2018

Dearborn, MI

Research Intern

My doctoral studies were partially funded by Ford Motor Company to develop scalable vehicle-to-vehicle communication for connected & automated vehicles (CAVs). The outcome of my research work at Ford R&D led to 5 conference papers and contributed to the development of SAE J3161 standard.

Aug 2017 – Jul 2021

Orlando, FL

PhD Research Fellow 

I joined CAVREL at the University of Central Florida in 2017 as an ORC Doctoral Fellow to pursue my PhD. In 2019, I was selected as the graduate researcher of the year among ∼9,000 graduate students by UCF College of Graduate Studies.

Behrad Toghi
Behrad Toghi