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I’M ROUZBEH HAGHIGHI

ELECTRICAL ENGINEER
–
POWER SYSTEM

Rouzbeh Haghighi is currently advancing his academic journey as a Ph.D. student in the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn. Under the supervision of Professor Wencong Su, he is delving into cutting-edge research in the Power System Engineering Lab.

Building on his solid foundation a B.Sc in Electrical Engineering from the K.N.Toosi University of Technology (2018) and an M.Sc in Electrical Engineering with a focus on power systems from Amirkabir University of Technology (2022)

Rouzbeh is now engaged in expanding the horizons of power systems, optimization, renewable energy, smart grids, and micro-grids.

His current roles as a Graduate Student Instructor (GSI) and Graduate Student Research Assistant (GSRA) at the University of Michigan-Dearborn.

Google Scholar
LinkedIn
ResearchGate

my research interests

Power System

Smart Grid

Energy Management

Renewable Energy Technologies

Solar and Wind Energy

Machine Learning and Deep Learning

Reinforcement Learning

Optimization

Power System’s Reliability

Artificial Intelligence Technologies

Download CV – Last updated 2023

Education

  • Ph.D. student in the Rackham Graduate School Ph.D. program in Electrical, Electronics, and Computer Engineering.  University of Michigan-Dearborn
    • Supervisor: Prof. Wencong Su
    • Aug. 2023 – present
  • M.Sc. in Electrical Engineering-Power Systems-Electrical Energy Planning and Management. Amirkabir University of Technology (Tehran Polytechnic), Iran.
    • Ranked: #375 in QS Global World Ranking, and #123 in Engineering and #204 in Electrical Engineering in U.S.News & WORLD REPORT Subject Rankings.
    • Thesis Title: Short-Term or medium-term prediction of effective parameters (wind/radiance/load/battery) to control a hybrid system consisting of Photovoltaic Panels/ Wind Turbines/ Load/ Battery and determining the prospect of the optimal forecast.
    • Sep. 2019 – Dec. 2022
  • B.S. in Electrical Engineering, K.N.Toosi University of Technology, Tehran, Iran.
    • Ranked: #351-400 in QS WUR Ranking By Subject 2023. 
    • Thesis Title: Reconfiguration of Distribution Network for Loss Reduction.
    • Supervisor: Dr. Alireza Fereidunian
    • Sep. 2014 – Sep. 2018

Publications

Book Chapters

Main Journal Publications:

  • 2024:

    • “A Systemic Stochastic Infrastructure Damage Evaluation Framework, Incorporating Fragility Curves, Reinforced by Network Reduction in Distribution Systems”, paper which is published by IEEE Transactions on Power Delivery

      Journal web page

  • 2023:
    • “A Grid-aware Framework for Resilience Modelling, Assessment and Enhancement by RCS Placement in Distribution Systems”, IEEE Transactions on Power Delivery, Under review
    • “Cloud Energy Storage Investment by Collaboration of Microgrids for Profit and Reliability Enhancement Considering a TSO-DSO Yearly Reward” paper which is published by IEEE Access
      (with 3.9 of impact factor / SJR:Q1).
      Journal web page
  • 2022:
    • “A Game Theory Approach using TLBO algorithm for Generation Expansion Planning by applying carbon curtailment policy” paper which is published by the journal of Energies
      (with 3.2 of impact factor / SJR:Q2).
      Journal web page 
    • “Integration of Community Energy Storage for Congestion Management and Energy Cost Optimization: A TLBO Solution Approach” paper which is published by the journal of Research and Technology in the Electrical Industry.
      Journal web page 
  • 2021:
    • “Generation Expansion Planning Using Game Theory Approach to Reduce Carbon Emission: A Case Study of Iran” paper which is published by the Journal of Computers & Industrial Engineering
      (with 7.9 of impact factor / SJR:Q1).
      Journal web page

Experiences

01

TEACHING EXPERIENCE

  • Teaching Assistant
    • ECE-305: Intro to Elec Engineering (Winter 2024)
    • ECE-311: Electronic Circuits I  (Winter 2024)
    • ECE-473: Embedded Systems (Winter 2024)
  • As Invited Assistant Professor at the Technical and Vocational University of Guilan, Iran from Sep. 2020 up to Sep. 2022.
    Courses: Power Electronics, Application of drawing software in electricity system’s designing
  • As a teacher in IEEE Iran’s students’ section, held and taught a workshop on Artificial Neural Networks (ANN).
02

COMPUTER SKILLS

  • Python
  • MATLAB
  • Artificial Neural Networks
  • AutoCAD
  • Printed Circuit Board (PCB) Design
  • Altuim designer
  • Programmable Logic Controller (PLC) Programming (Step7:Seimens s7-120 PLC)
  • Excel
  • Visio & Adobe Photoshop
  • Microsoft Office and Apple iWork
03

CERTIFICATES & VOLUNTARY WORKS

  • Participated in “the 25th Iranian Conference on Electrical Engineering (ICEEE2017)” as a cooperator with the executive committee, held at K.N.Toosi University of Technology, Tehran, Iran from 2th to 4th May 2017.
  • The main member of the executive committee of the 12th student seminar of the smart grid at K.N.Toosi University of Technology, Tehran, Iran in January 2018.
  • Certificate of attendance at 18-hour workshop on ARM microcontroller held by IEEE student branch on Nov. 31 – Dec. 12, 2016.
  • Certificate of attendance at 10-hour workshop on Altium Designer held by IEEE student branch on Nov. 9-23, 2016.
  •  Volunteer teacher of the students for the entrance national university exam from January 2015 to June 2016.
04

ACADEMIC PROJECTS

  • Prepare reference energy system (RES) for future based on a 30-year forecast by ANN + Examine various scenarios based on arbitrary DSM and SSM technologies on the case study of the European Union.
  • Technical and economic analysis of Manjil wind power plant
  • The optimal strategy for comparing renewable and non-renewable energy using game theory and optimization algorithms as a project of Economy & Energy Management course.
  • A Particle Swarm Optimization MPPT Algorithm for Photovoltaic System under Partial Shading has been simulated and analyzed as a Solar PV systems design’s project
  • “Wind-Solar effective use in the distribution system” paper has been simulated and analyzed in Distributed Generation course.

Here is my personal Hobbies

I Love Camping

I Play Football
Bodybuilding
Driving
Listening to Music
Reading books

Personal Information

Thank you for visiting my website. I’m Rouzbeh Haghighi, a passionate Electrical Engineer with a focus on power systems. Born in the beautiful province of Guilan, Iran, in 1996, I carry the rich Persian heritage that inspires my work ethic and pursuit of knowledge.

Current Endeavors:

  • Ph.D. Student in Electrical and Computer Engineering, University of Michigan-Dearborn
  • Researcher at Power System Engineering Lab under the mentorship of Prof. Wencong Su
  • Enthusiastic Graduate Student Instructor (GSI) and Research Assistant (GSRA)

Language Proficiency:

  • English: Fluent (IELTS Academic)
  • Persian: Native Speaker

Feel free to connect with me on LinkedIn or explore my research on Google Scholar and ResearchGate.

haghighi@umich.edu