Ammar Jafaripournimchahi
Visiting Professor
Dr. Jafaripournimchahi is currently a Visiting Professor at Cal Poly Humboldt, where he teaches Machine Design and Computational Methods I. He brings more than 14 years of research experience in connected and autonomous vehicles (CAVs), specializing in modeling, simulation, and intelligent vehicle systems.
Prior to academia, he served over 6 years as a Senior Mechanical Engineer, leading major projects in automotive design, vehicle systems optimization, and process innovation. This blend of industry and research experience enables him to translate complex engineering concepts into practical, real-world applications—helping students build the skills needed to thrive in today’s engineering workforce.
Dr. Jafaripournimchahi’s work harnesses the power of AI, machine learning, and advanced simulation platforms (MATLAB/Simulink, Python,) to shape next-generation mobility solutions. His research is aimed at advancing intelligent vehicle technologies, digital twins, and future-ready automotive systems, while inspiring and equipping the next generation of engineers to become innovators in the field of intelligent design and sustainable mobility.
Future automotive systems • Connected and autonomous vehicles (CAVs) • Intelligent vehicle
safety systems • Digital twins for mobility • AI- and ML-driven mobility solutions • Simulation-
based engineering design
Selected Publications & Research Impact
- Google Scholar Profile: Google scholar
Representative Articles:
- A multi-task learning network with a collision-aware graph transformer for traffic-agents trajectory prediction. IEEE Transactions on Intelligent Transportation Systems, 2024.
- A new higher-order viscous continuum traffic flow model considering driver memory in the era of autonomous and connected vehicles. Physica A, 2020.
- Driver’s Anticipation and Memory Driving Car-Following Model. Journal of Advanced Transportation, 2020.
