Abdus Samad Hashmy

Researched Hardware-in-Loop (HiL) and Model-in-Loop (MiL) Simulations to explore their practical applications, utilizing specialized simulators and Electronic Control Units. Involved in the development of HiL-MiL systems. Pioneered the creation of an automated process for HiL operation via ECUTest. Actively worked on various Python scripts for deployment of Machine Learning techniques.

The research is a continuation of my work as a Research Assistant. It seeks to further improve the air-path management of a Diesel powertrain with an emphasis on emission optimization by using simulations. Specializing in the applications of Reinforcement Learning in Hardware-in-the-Loop and Model-in-the-Loop environments, with a focus on creating complex Simulink models for vehicle simulations using dSPACE tools. Proficiently conducting testing and operation of Functional Mock-up Units.