Amin Aghaei

Working on advancing simulation tool by leveraging SOTA GenAI techniques

1. Built an agentic scenario generation tool, increasing test development speed by 5×. 2. Developed Sim2Real products to improve simulated sensor data quality. 3. Leading a team of talented engineers developing physics-based and data driven sensor simulation models * Improving the testing and training metrics for various sensors by 10-100X * Develop team’s roadmap according to top-level goals and customers’ needs 4. Technical lead of inclement weather simulation 5. Technical lead of sensor simulation validation and verification, including but not limited to, design of experiments, data analysis, developing automated tools to measure the fidelity, and writing and presenting technical reports 6. Filed 7 patents - 2 granted

1. Leading all sensor simulation and vehicle dynamics developments 2. Architecting and managing re-simulation from real world captured data 3. Working with two leading Lidar manufacturers to develop precision models based on their scan patterns and supporting their native output format

Developing scalable simulation engine for training, testing and debugging autonomous vehicles. Responsibilities mainly include 1. Developing sensor simulation models 2. Implementing PID controllers for continuously modulating vehicle controls 3. Integrating third-party vehicle dynamics packages

1. Developed large-scale finite element (FEA) and finite volume (FV) codes for the analysis and design of problems involving fluid-structure interaction. 2. Implemented reduced-order modeling in a finite element code; a PCA/machine learning based method essential for parametric design 3. Conduct fluid-structure interaction simulations of underwater implosion. 4. Implemented high-order elements and adaptive mesh refinement in a finite volume code 5. Coupled DYNA3D code to the CFD code AERO-F for fluid-structure interaction simulations of underwater implosion and dynamic fracture modeling

1. Developed and tuned large 3D parallel software ParaDiS 2. Improved the speed of dislocation dynamics simulations by 100x by developing a novel subcycling method and implementing high-order implicit and explicit methods for the numerical integration of ODEs 3. Studied plasticity and dislocation evolution in nanowires and for the first time reported the Bauschinger effect in penta-twinned silver nanowires 4. Coupled finite element software Abaqus to ParaDiS for the analysis of defects in semiconductors

1. Developed nonlinear finite element and large-scale molecular dynamics codes from scratch 2. Improved the speed of mechanical simulations of nano-membranes by 10x by developing a novel nano-to-macro multiscale method. The method bridges the scales between finite element and molecular statics 3. Developed a new symmetry adapted method for analysis of phonons of nanotubes which improved the speed of the simulations by more than 1000x 4. Studied thermo-elastic properties and failure modes of carbon nanotubes using MD and for the first time reported their thermos-elastic responses

Analysis and design of petroleum structures such as pipe-racks, foundations of stationary and rotatory equipments and industrial structures and bridges