Engineer Electrical

» Profile

An Engineering graduate, with experience as in electrical engineer in embedded microcontrollers, Model based design, Model in the loop (MIL), Controls Software design, and testing. And with experience of research in Wayne State University in electrical engineering and control systems, seeking an opportunity as an Engineer in the Automotive industry.

» Skills

Applications

Requirements review and analysis, implementation, and testing.

Embedded systems and microcontrollers, Autocode and Hand code controls design.

Model in the loop (MIL) testing using Matlab, and Hardware in the loop (HIL) testing.

Familiar with Infineon processors and NXP processors

Create test scenarios to make sure that the software meets the use cases and the requirements.

Interpret data from sources using statistical techniques and provide ongoing reports.

Create test scenarios to make sure that the software meets the use cases and the requirements.

Proficient in using electrical equipment (Power supplies, oscilloscopes, signal generators, network analyzer, spectrum analyzer)

Hands on experience with Vector Canalyzer, CANoe, CANape.

Design Controls using both Model based development and Hand code.

Familiarity with Inverters and converters topologies for different Voltage levels.

Bench testing, taking measurements for IOs, correlating them with system level constraints

Vehicle control unit, Transmission control unit, supervisory controllers.

Ethernet and serial protocols experience (IP, Real time Ethernet, RSTP, UDS, TCP, DDS, USB, I2C, SPI, RS232).

Engineering Software and Programming Software

MATLAB/Simulink/Stateflow

Python

INCA

Linux

C / C++

Auto Code Generation

» Work Experience

Wayne State University, Detroit (March 2018 –April 2019) & (Jan 2020 – July 2020)

Research Assistant. Research and development of Discrete Events based control methods and automation. Using Model based design and Model in the Loop (MIL) methods.

Model based design and Model in the Loop (MIL) methods. Using Matlab environment (Both code and Simulink Models)

Discrete Events Systems Supervisory control design and synthesis, Modular and Hierarchal control, investigation and implementation of Discrete Event systems and its applications in automotive and electrical networks.

C++ API of Discrete event systems and supervisory control methods was compiled using MEX into MATLAB environment.

FEV NA, Auburn Hills, Mi August 2019 – Dec. 2019

Electrical Engineering Intern, Electrified powertrain controls engineer. Control design for driver torque processing for EV. Controls design using Matlab/Simulink for ECUs and VCUs, and hybrid powertrain control units.

Model in the Loop environment design and testing for different features that insures

drivability of the EV.

Controls design with Simulink/Matlab environment for various applications and functions related to hybrid and electrical vehicles powertrain controls. Following AutoSAR and ISO 26262 requirements.

ECOTRONS LLC, Wixom, Mi May. 2019 – August 2019

Electrical Engineering Intern, Controls design (Model Based Software Design MBSD) for Vehicle control units (VCU), for EV and hybrid vehicles and Engine Control Units (ECU) for small engines and fuel injection conversion. Following AutoSAR and ISO 26262 requirements.

Applying calibration and measurements of VCU and ECU I/O for the basic applications and functions.

National Electric Power Company (NEPCO), Amman, Jordan Sept.2012-Aug.2016

Power Substations Engineer, High Voltage (132/33 KV) Substations Engineer.

Testing and maintenance for 132/33 KV Power Transformers (performing routine tests for High voltage transformers)

» Education

●Wayne State University, Detroit, MI

PhD in Electrical Engineering 2016 – May. 2020

●Yarmouk University, Jordan, Irbid

Masters in Electrical Engineering 2013 - 2015

●Yarmouk University, Jordan, Irbid

Bachelors in Electrical Engineering 2007 - 2012

» Academic Projects highlights

Power electronics Devices Modeling, Control design and Implementation for battery systems, electrical motors and smart grids.

Car robots platoon system: Using Arduino, Raspberrypi boards, control design was in C++. The Raspberrypi was based on Linux, where it streamed video to base station via Wifi.

Developing an Artificial Neural Networks for short term load forecasting of mega cities.

Optimization of Induction Motor Equivalent Circuit Parameters Estimated Based on Manufacturer’s Data. By using the optimization toolbox in Matlab.

Battery Management Systems and controls for EVs and smart grid applications.

LinkedIn: https://www.linkedin.com/in/wasseem-alrousan/

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