About Me

I am a Ph.D. candidate in Electrical Engineering at Polytechnique Montréal, working under the supervision of Prof. Jean-Pierre David and Prof. Tarek Ould-Bachir. My research focuses on real-time simulation of power systems using FPGA-based Frequency Dependent Network Equivalent (FDNE) models.

I hold Bachelor's and Master's degrees in Computer Engineering from Iran, where I specialized in digital systems and approximate computing. My Master’s thesis, ranked top of my class, introduced an energy-efficient approximate multiplier design.

My research has led to several peer-reviewed publications in leading journals and conferences, and I actively review for high-impact journals in my field.

Professionally, I bring experience as an Embedded Systems Engineer and completed an internship at OPAL-RT Technologies in Montreal, contributing to FPGA and HLS-based power system modeling. My technical expertise includes HLS, VHDL, Verilog, C++, MATLAB, and Simulink.

My research interests include real-time simulation, configurable hardware systems, hardware automation, and exploring the potential of AI-driven solutions.

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Education

  • Ph.D. in Electrical Engineering, University of Montréal, Polytechnique Montréal, Montréal, Canada, (Present).

    Thesis title: FPGA-based FDNE Models for the Accurate Real-time Simulation of Power Systems in Aircrafts

    Under the supervision of Prof. Jean-Pierre David and co-supervision of Prof. Tarek Ould-Bachir


  • M.Sc. in Computer Engineering, Kharazmi University, Tehran, Iran, in 2019.

    Thesis title: A novel design in high precision approximate multiplier by improving frequency, power consumption and area

    Under the supervision of Dr. MohammadReza Binesh Marvasti and co-supervision of Dr. Seyyed Amir Asghari


  • B.Sc. in Computer Engineering, Shahid Beheshti University, Tehran, Iran, in 2015.

    Thesis title: Review and Analysis of Image Enhancement Techniques

    Under the supervision of Dr. Ahmad Mahmoudi Aznaveh

Publications

  • F. Hajizadeh, M. Binesh Marvasti, S. A. Asghari, M. Abbas Mollaei, A. M. Rahmani, Configurable DSI partitioned approximate multiplier, Future Generation Computer Systems, Volume 115, 2021, Pages 100-114, ISSN 0167-739X, https://doi.org/10.1016/j.future.2020.09.008.
  • F. Hajizadeh, L. Alavoine, T. Ould-Bachir, F. Sirois, JP. David, FPGA-based FDNE Models for the Accurate Real-time Simulation of Power Systems in Aircrafts, 12th International conference on renewable energy research and applications, 2023, Pages 1-5, https://doi.org/10.1109/ICRERA59003.2023.10269418.
  • B. Zolfaghari, M. Abbasmollaeih, F. Hajizadeh, N. Yanai, K. Bibak, Secure UAV (Drone) and the Great Promise of AI, ACM Computing Surveys, Volume 35, 2024, https://doi.org/10.1145/3673225.
  • B. Samieiyan, P. MohammadiNasab, M. Abbasmollaeih, F. Hajizadeh, M. Kangavari, Solving dimension reduction problems for classification using Promoted Crow Search Algorithm (PCSA), Computing, 2022 https://doi.org/10.1007/s00607-021-01037-2.
  • B. Zolfaghari, M. Abbasmollaeih, F. Hajizadeh, N. Yanai, K. Bibak, Secure UAV (Drone) and the Great Promise of AI, ACM Computing Surveys, Volume 35, 2024, https://doi.org/10.1145/3673225.
  • B. Samieiyan, P. MohammadiNasab, M. Abbasmollaeih, F. Hajizadeh, M. Kangavari, Solving dimension reduction problems for classification using Promoted Crow Search Algorithm (PCSA), Computing, 2022 https://doi.org/10.1007/s00607-021-01037-2.
  • B. Samieiyan, P. MohammadiNasab, M. Abbasmollaeih, F. Hajizadeh, M. Kangavari, Novel optimized crow search algorithm for feature selection, Expert Systems with Applications, 2022 https://doi.org/10.1016/j.eswa.2022.117486.

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