Amir M. Vahedi

Ph.D. Student Mechanical Engineering School of Mechanical, Aerospace, Manufacturing Engineering University of Connecticut

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About me

Welcome! I'm a Ph.D. student at the University of Connecticut in the School of Mechanical, Aerospace, and Manufacturing Engineering. My research intersects topology optimization, motion planning, and machine learning, with a focus on robotics. I'm driven to reshape the future of robotics by integrating advanced technologies into dynamic system simulations and innovative AI methodologies. My goal is to contribute groundbreaking solutions that extend the capabilities of mechanical systems and robotics. I value collaboration and am always looking to connect with peers and professionals interested in pushing the boundaries of technology. Thank you for visiting my portfolio, and I look forward to potential partnerships.

Education

Ph.D. in Mechanical Engineering (Aug.2023 – present)

GPA: 4/4

M.Sc. in Aerospace Engineering (Sep.2021 – Jul.2023)

GPA: 4/4 (18.36/20, 18 Units)

Master’s Thesis Title:

Flight Formation Control & Obstacle Avoidance of a Flying Robot Team Using Fuzzy Predictive Artificial Potential Field Method (Grade:- ) Supervisor: Assoc. Prof. H. Nobahari

B.Sc. in Aerospace Engineering (Sep.2017 – Sep.2021)

GPA: 3.85/4 (17.99/20)

Bachelor’s Thesis Title:

Design, Simulation and Control of an Aerial Robot with tail-sitter flying wing configuration (Grade: 20/20) Supervisor: Assoc. Prof. H. Nobahari

Physics and mathematics Diploma(Sep.2013 – Jun.2017)

GPA: 4/4 (19.5/20)

IELTS Band Score: 7.5

Research Interests

  • Optimization
  • Engineering Design
  • Multi-Robot Systems
  • Reinforcement Learning
  • Motion and Path Planning

    • Honors

  • Achieved credit for M.Sc. education without entrance exam in Aerospace engineering department at Sharif University of Technology(Jun. 2021)
  • Ranked 5th among B.Sc. students of Aerospace engineering department at Sharif University of Technology(Jul. 2021)
  • Ranked 8th among approximately 2,000 participants in the National 2021 Master of Aerospace Engineering Entrance Examination from Iranian universities, Iran(Jul. 2021)
  • Received award of extracurricular activities among the B.Sc. students of Aerospace Engineering Department in 2018-2019 by Vice president of Student Affairs(2018 - 2019)
  • Ranked 152nd among approximately 150,000 participants in the National 2017 Mathematics and Physics Entrance Examination from Iranian universities, Iran(2017)
  • Ranked 1st team in the National 2016 Chemistry Lab Student Competition, Iran(2016)

    • Accomplishments

  • Fuzzy Gain Scheduling of Artificial Potential Fields for Online Path Planning and Obstacle avoidance of an Aerial Robot(Nov. 2022)
  • Certification in Fundamentals of Reinforcement Learning Course by University of Nov. 2022 Alberta, Alberta Machine Intelligence Institute and offered through Coursera(Nov. 2022)
  • Certification in Reinforcement Learning Onramp Course by MathWorks(Oct. 2021)
  • Certification in Machine Learning Onramp Course by MathWorks(Oct. 2021)
  • Certification in Deep Learning Onramp Course by MathWorks(Jul. 2020)
  • Certification in Image Processing using MATLAB Course by Maktabkhooneh(Mar. 2020)
  • Certification in Robotics and Mechatronics by Mehdi Masouleh, Robotech Academy, Mar. 2020 TAAR LAB(Mar. 2020)
  • Certification in MATLAB Artificial Intelligence Course by eLearning of Sharif Feb. 2020 University of Technology(Feb. 2020)

    • Skills

    Programming Languages

    Python, MATLAB, Simulink, ROS, Gazebo, Arduino

    Engineering Programs

    Ansys Fluent, Proteus, AAA, AVL, Digital Datcom, FlightGear, QGroudControl

    Modeling Programs

    SOLIDWORKS, AutoCAD

    Languages

    Persian(Native), English(Fluent)

    Project Management

    Microsoft Project, Trello

    Document Preparation & Presentation

    LATEX, Microsoft Office, XMind

    experience

    Following is a brief list of my academic Experiences. For a complete list of my projects, please review my CV.

    Teaching Experience

  • Guidance & Navigation Course
    • Teaching Assistant, Assoc. Prof. H. Nobahari
Preparing ”Stateflow” tutorial video
Teaching Hardware-In-The-Loop procedure using Simulink desktop Real-Time(Spring 2022)
  • Simulink Workshop
    • In collaboration with Student Scientific Association of Aerospace Engineering
8 hours workshop Teaching
Introduction to most common blocks
Introduction to Control algorithms Implementation in Simulink
Introduction to Simscape multi-body modeling & Reinforcement learning
Implementation(May. 2022)
  • Automatic Control Course
    • Teaching Assistant, Assoc. Prof. H. Nobahari(Fall 2021 & 2020)
  • SOLIDWORKS Course
    • In collaboration with Student Scientific Association of Aerospace Engineering
16 hours workshop Teaching
Introduction to Part Environment Commands
Introduction to Assembly Environment Commands
Introduction to Drawing Environment Commands(Summer 2021 & 2019)

    Publications

  • Amir Mohammad Vahedi, Hadi Nobahari, Meysam Alizad .Fuzzy Gain Scheduling of Artificial Potential Fields for Online Path Planning and Obstacle avoidance of an Aerial Robot. In Proceedings of the 10th RSI International Conference on Robotics and Mechatronics (ICRoM 2022), [Accepted].Proceedings of the 10th RSI International Conference on Robotics and Mechatronics (ICRoM 2022), [Accepted].

    • Projects

    Kernel PCA for Novelty Detection

    Cube Interior Design Optimization

    Monte Carlo Simulation to Calculate π

    Reinforcement Learning for an Inverted Pendulum On a Cart Modeled with Simscape Multibody

    Image processing for Real-Time fire detection using a webcam in Simulink & implementation on a Raspberry Pi board with a camera

    LQR Implementation and Optimal control of an inverted pendulum

    State feedback control and design of a rotary inverted pendulum

    Fail Detection & Fail-Safe management using Stateflow in Simulink

    Dynamic performances Evaluation & Simulation of a bird-like flapping wing robot

    Inverse Kinematics and Simscape Modeling for a Puma Robot

    Numerical Solution & Simulation of a passive suspension system

    Design and Build a Rover using Arduino and Python

    Analytical & Numerical Solution for Aircraft Parameters and Transfer Function Extraction

    Modeling and Simulation of a double pendulum system Using Simulink