Mahdi Amouzadi

Mahdi Amouzadi
Robotics and Control Engineer

OBJECTIVE

I am a research assistant at the University of Sussex, where I recently completed my PhD in the field of control theory and optimisation. I am focused on designing efficient and safe planning algorithms, control strategies and estimation for single and multiple autonomous agents in complex environments. Recently, I’ve started a research assistant role at the Department of Engineering to design and simulate novel of cascading failures for interdependent multi-layer infrastructure networks. My goal is to pursue a career in line with my research interests in a dynamic environment including pioneering companies and/or academia. My area of interests are Optimisation-based Algorithms; Optimal Control Problem; Nonlinear Model Predictive Control; Real-time Optimisation; Reinforcement Learning; Robotics and Automation; System Dynamics and Modelling; Connected and Autonomous Vehicles.

RESEARCH INTERESTS

  • Optimal Control Problem
  • System Dynamics and Modelling
  • Optimisation-Based Algorithms
  • Nonlinear Model Predictive Control
  • Reinforcement Learning
  • Robotics and Automation
  • Real-time Optimisation
  • Connected Autonomous Vehicles (CAVs)

EDUCATION

Sep 2019 - Feb. 2023

University of Sussex, Brighton, UK
Ph.D. in Engineering

Sep 2016 - June 2019

University of Sussex, Brighton, UK
Bachelor's in Electrical and Electronic Engineering

Sep 2015 - July 2016

Bellerbys College, Brighton, UK
Foundation Degree in Engineering

HONORS
&
AWARDS

  • Awarded with the School of Engineering and Informatics' Fully-Funded Scholarship, University of Sussex, September 2019.
  • Awarded with outstanding achievement for the first year of university, University of Sussex, June 2017.
  • Ranked #2 in Elisa 2560 robot competition at University of Sussex, May 2017.
  • Awarded with the School of Engineering, 45% Scholarship, University of Sussex, September 2016.
  • Selected as a Talented Student, Bellerbys College, Decemeber 2015.

PUBLICATIONS
&
PRESENTATIONS

  • M. Amouzadi, M.O Orisatoki, A.M Dizqah, (2022). "Optimal Lane-Free Crossing of CAVs through Intersections", IEEE Transactions on Vehicular Technology. doi 10.1109/TVT.2022.3207054.
  • M. Amouzadi, M.O Orisatoki, A.M Dizqah, (2022). "Capacity Analysis of the Intersections when CAVs Crossing in a Collaborative and Lane-Free Order", MDPI Journal of Future Transportation, 2(3) 698–710. doi: 10.3390/futuretransp2030039.
  • M. Amouzadi, M.O Orisatoki, A.M Dizqah, (2022). "Lane-Free Crossing of CAVs through Intersections as a Minimum-Time Optimal Control Problem", 11th IFAC Symposium on Intelligent Autonomous Vehicles 55(14), 28–33. doi: 10.1016/j.ifacol.2022.07.578.
  • “Field-Effect Transistors and logic circuits”. Report prepared for Electronic Circuits & System Design module, University of Sussex Brighton, UK, November 2017.
  • “Capacitive Body Network Communication”. Final year project prepared for Sensor Technology Centre Sussex (STCS), University of Sussex, Brighton, UK 2019.
  • “Elisa Robot Path Tracking”. Report prepared for Embedded System module, University of Sussex, Brighton, UK May 2017.

RESEARCH & WORK EXPERINCE

Jan. 2023 - May. 2023

University of Sussex -Brighton, UK
Research Assistant

  • Design and simulation of cascading failures for interdependent power system network and telecommunication network using MATPOWER toolkit

Sep. 2019 - Nov. 2022

University of Sussex - SVecLab Group, Brighton, UK
Researcher

  • Research on “Control Strategies for Path Planning of Connected and Autonomous Vehicles (CAVs)” under the supervision of Dr. Arash M. Dizqah.

Sep. 2018 - Jun. 2019

University of Sussex - Sensor Technology Research Centre, Brighton, UK
Researcher

  • Researched and perfomred experimental validation on "A Capacitive Body Network System to Transfer Music Signals through Human Body" under the supervision of Dr. Niko Münzenrieder.

Sep. 2018 - Dec. 2018

University of Sussex - Brighton, UK
Researcher

  • Conducted research on “Pitch Angle Control for Wind Turbine Rotor” under the supervision of Prof. Julian Dunne.

TEACHING EXPERIENCE

Sep. 2019 - present

University of Sussex, Brighton, UK
Associate Tutor

  • Assisted Dr. Arash M. Dizqah in “Engine Technology” module, ran weekly lab sessions (2019-2021).
  • Assisted Dr. Arash M. Dizqah in “Vehicle Technology” module, ran weekly lab sessions (2020-2022).
  • Assisted Dr. M. Oner in “Electromechanics” module, ran weekly workshop sessions (2021-2022).
  • Assisted Dr. M. Oner in “Electromagnetism and Introduction to Electrical Machines” module, ran weekly workshop sessions (2021-2022).
  • Assisted Dr. Arash M. Dizqah in “Autonomous Vehicle” module, ran weekly lab sessions (2020-2022).
  • Assisted Dr. R. Aviles-Espinosa in “Electronic Circuit & Systems Design” module, ran weekly lab sessions (2020-2021).

Sep. 2018 - May. 2019

University of Sussex, Brighton, UK
Transition Coordinator

  • Organized weekly sessions for 10 undergraduate students and provided peer support with their studies.

SKILLS

Programming Language

  • Matlab and Simulink
  • Python
  • C/C++

Toolkits

  • ACADO
  • CasADi
  • AMPL
  • YALMIP

Softwares

  • Quanser
  • Multisim Blue
  • Arduino
  • PSS explore

Operating Systems

  • Linux
  • MacOS
  • Android
  • Windows
  • iOS

Others

  • GitHub
  • Mathematical Modelling
  • LaTeX
  • Microsoft office
  • Public Speaking

LANGUAGES

  • Farsi: Native proficiency
  • English: Full Professional proficiency
  • Arabic: Elementary proficiency

MEMBERSHIP

  • Member of IEEE
  • Member of SVecLab at Univeristy of Sussex
  • Member of STCS at University of Sussex: Sep 2017 to Sep 2019
  • Member of formula design at University of Sussex: Sep 2017 to Feb 2019

LEISURE ACTIVITIES

  • Reading Inspirational Books
  • Running
  • Listening to Music
  • Physical Fitness
  • Swimming
  • Volleyball

REFERENCES

University of Sussex, Brighton, UK

  • Dr. Arash Moradinegade Dizqah
    E-Mail: A.M.Dizqah -at- sussex -dot- ac -dot- uk
  • Dr. Niko Munzenrieder
    E-Mail: N.S.Munzenrieder -at- sussex -dot- ac -dot- uk