Rasoul Ghadami

• Oversee the development of embedded software for charging and energy products. • Define software architecture and collaborate with the system team and product management to establish traceable requirements. • Serve as the key technical reviewer for embedded software under development. • Support the development and utilization of automated software-in-the-loop, hardware-in-the-loop, and powered test systems. • Collaborate with peer software teams on the enterprise-wide operating system and product-to-cloud data integration.

• Designed and implemented real-time algorithms in C/C++ on embedded Linux-based devices. • Developed a model predictive control algorithm with superior cost saving performance. • Designed software architecture for a complex multi-process application with minimized latency. • Performed modeling and simulation for PV and energy storage solutions using MATLAB/Simulink, Stateflow, Python and C++. • Conducted performance testing on both target hardware and simulator/emulator environments. • Led the energy storage firmware development effort, overseeing incremental planning and feature delivery. • Designed and developed safety-critical firmware for power control systems (PCS). • Designed and developed machine learning algorithms for time-series prediction.

• Designed and developed automation/control systems for a distributed solar bioreactor. • Designed system-level architecture and wrote software requirements specifications. • Developed RTOS-based firmware framework and integrated device drivers. • Brought up newly designed boards and validated peripherals.

• Developed multiple control subsystems, including RF Power Supply, Ambient Controller, DC Power Supply, Vaporizer, and Heating Chuck, within semiconductor manufacturing equipment. • Designed and developed control algorithms in C/C++ for embedded real-time control systems (DSP). • Performed mathematical modeling and closed loop control algorithm simulation (MATLAB and COMSOL). • Designed and implemented complex PLC-based control system (TIA Portal). • Developed software using LabVIEW for real-time control and signal processing during the design stage.

• Formation control of networked multi-agent systems. • Robust decentralized and distributed control design. • Adaptive variable structure control design for robotic manipulators. • Neural network and fuzzy logic applications for estimation and control.

• Robotics Course and Laboratory • Control Systems Course and Laboratory • Capstone Design Laboratory

• Dissertation: Distributed Control of Multi-Agent Systems with Switching Topology, Delay, and Link Failure. • Key Courses: Adaptive Control and System Identification, Robust Control, Statistical and Adaptive Signal Processing, and Nonlinear Control.

• Thesis: Adaptive Multi-Model Sliding Mode Control for Robotic Manipulators. • Key Courses: Model Predictive Control, Multivariable Control, Neural Networks, Fuzzy Systems, Estimation Theory, and Stochastic Process.