Electrical Engineer Engineering

Mohammad Khawaja

Electrical Engineer

***********@*****.*** 313-***-****

Recent Electrical Engineering graduate seeking a professional entry-level career that enhances my educational back ground as an electrical engineer. I am looking to work with a progressive and forward-thinking company where I can use my strong technical and problem-solving skills.

EDUCATION

University of Michigan

Bachelor of Science in Electrical Engineering, Dec 2019

• Active member of IEEE student branch at the University of Michigan.

• Active member of the University of Michigan Alumni Association. Lawrence Technological University

Master of Science in Electrical Engineering, Jan, 2021 - Present.

• Active member of IEEE student branch at Lawrence Technological University. PROJECTS:

• Motorcycle Security System, at the University of Michigan. o Construct a system that sends burglar alert to cellphone device for the user. o The system’s alarm sequence is triggered by a tilt sensor built into the android device. o The system will be tracking the motorcycle’s position when it leaves the Geo-fence or when the user requests the location manually.

• Light Controlled Motor, at the University of Michigan. o Design an electronic circuit using LTspice simulator to create a motor controller and tone generator that responds to light levels.

• Research review of crash severity reduction.

o Review of crash severity reduction using sensor fusion and V2V communication. o LIDAR and camera based object detection and environmental modeling techniques overview. o Sensor fusion to augment vehicular measurements. o V2V communication for accurate prediction of time to crash and crash severity. TECHNICAL SKILLS

Autoware/ROS, C, C++, MATLAB/Simulink, Python, LabVIEW, LTspice, PSpice, PowerWorld, Visual Basic, PSIM, Logic Friday, Basic Assembly Language Programming, CodeWarrior, Keil. Operating Systems: Linux/Ubuntu, Microsoft Windows, macOS. Applications: MiniTab, Microsoft Office, Excel, PowerPoint, Adobe Photoshop. SKILL AREAS

• Autonomous Vehicles: Mapping and local-

ization methods, Sensor Systems

( RADAR, LIDAR, Cameras), In-Vehicle

Communication Systems (CAN, CANopen,

Data Transmission and Network Manage-

ment), Chassis Technologies, Real-time

Planning and Control.

• Control systems Theory: MPC, PID.

Closed Loop Controls, Controllability,

Programming in Control Systems and

Stability analysis.!

• Digital Communication Systems.

• Probabilistic state estimation.

• Software testing and debugging.

• Ability to model and analyze dynamical systems

described by differential equations.

• Ability to relate time domain performance measures.

• Ability to design controllers for MIMO and SISO systems.

• Electric circuits and DC Motors.

• Microprocessors and Embedded Systems.

• Engineering Economics.

CERTIFICATES

• MATLAB for Artificial Intelligence in deep learning certificate from MathWorks.

• Simulink training course completion certificate from MathWorks.

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