Engineer Engineering

Mohamed Aichiouene

Cell: 720-***-**** Email: ********@********.*** LinkedIn: https://www.linkedin.com/in/mohamed-aichiouene-245101195/ EDUCATION:

University of Colorado Boulder Graduation Date:

Major GPA: 3.66 – B.S in Aerospace Engineering 05/2021 (B.S.) Overall GPA: 3.60

TECHNICAL SKILLS:

• MATLAB, Julia, Python, C++, Simulink • Mechanical Design • Test development

• CAD – SolidWorks, AutoCAD • CFD – XFLR, ANSYS, Fluent • Technical Writing

•

Control Theory- Kalman Filters, PID

Control, Linear Control,Batch LLS,

RLLS etc. •

Flight Dynamics-Satellites, gliders,

aircraft, rockets • Microsoft Office

PROFESSIONAL EXPERIENCE:

UAV Control Team Lead,

CU Boulder / IRISS Project –

08/2020 to Present

Geo-technical Lab Internship,

Yeh and Associates –

07/2016-09/2017

Led a team of engineers in configuring the flight mechanisms and electronics, including a flight controller, for a fully functioning UAV capable of flying in harsh weather conditions and collecting data for research. Assisted in mechanical and aircraft design including tail design, motor mounts, and modal analysis.

Conducted soil sample testing and surveyed drilled sites as required by civil engineers for the construction of bridges and highways across Colorado, recorded, reported, and analyzed test results using Excel. Presented information in detail reports and work along side field engineers on construction sites.

TECHNICAL EXPERIENCE:

Aircraft Design and

Fabrication– 10/2018 to

Present

Aircraft Dynamics

Modeling – 08/2019 to

05/2020

Aircraft Design – 08/2020 to

12/2020

Statistical Estimation of

Dynamical Systems – 09/2020

to 11/2020

Reinforcement Learning and

Neural Networks - 01/2021

to present

Electronics

Experimentation – 01/2020

to 05/2020

Employed aerodynamic principles and aircraft dynamics to optimize the design of a small glider, fabricated foam wings and fuselage using laser cutter and hot foam wires.

Generated and compared numerical solutions of longitudinal and lateral dynamic behavior of quad-copters, and large transport jets. Conducted initial design of a subsonic business jet using AAA software including airfoil design using XFOIL and presented results in a conceptual design reviews and multiple papers.

Utilized advanced state estimation theory and Kalman Filters to analyze dynamic stochastic processes that required modeling additive white gaussian process and measurement noise.

Implemented numerous RL, Neural Network, and machine learning algorithms to fully model an autonomous quad-copter model, as well using state of the art process such as DQN, Alpha Zero, and more for game theory purposes.

Conducted multiple electronic experiments using analog circuits, micro- controllers, and an oscilloscope to automate data collection from sensors, analyze serial communication, and design a small RC car. SOCIETIES AND ORGANIZATIONS:

• American Institute of Aeronautics and Astronautics (AIAA) – 08/2020 to Present

• Theta Tau Professional Engineering Society – 03/2018 to Present

• Daniels Fund Scholar – 05/2017 to Present

• CU Design-Build-Fly (DBF) – 09/2019 to 02/2020

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