Mohammad's Blog

Biography

Mohammad Gholizadeh received his B.S. degree in Electrical Engineering from Jundi-Shapur University of Technology, Dezful, Iran, in 2016, and his M.S. degree in Electrical Engineering from Khajeh Nasir Toosi University of Technology (KNTU), Tehran, Iran, in 2023. He earned his Master's degree with a strong GPA of 17.09/20, and his thesis was evaluated with a high score of 18.99/20. Based on that work, He successfully published an article in the prestigious journal IEEE Transactions on Communications (TCOM), contributing to the field of telecommunications systems. His research interests include wireless communications, millimeter-wave networks, massive MIMO, cooperative networks (relay selection algorithms), beamforming, and machine learning.

Personal Information

• Date of Birth: October 10, 1993
• Place of Birth: Ahvaz, Iran
• Nationality: Iranian
• Gender: Male
• Marital Status: Married

Education

• 2020-2022: M.Sc. of Electrical Engineering(System communications), Department of Electrical Engineering, Khajeh Nasir al-Din Toosi University of Technology, Tehran, Iran. Analysis of cluster-based multi-hop millimeter wave networks (master's thesis, grade: 18.99/20) Supervisor: Dr. Ali Habibi Bastami
• 2012-2016: B.Sc. of Electrical Engineering, Department of Electrical Engineering, Jundishapur University of Technology, Dezful, Iran

Publications

• M. Gholizadeh and A. H. Bastami, "Cluster-Based Multi-Hop MMWave Networks: Relay Selection and Performance Analysis," in IEEE Transactions on Communications, (May 2025).

  DOI: 10.1109/TCOMM.2025.3571949. →

Honors and Awards

• Paper accepted for publication in the prestigious journal IEEE Transactions on Communications (TCOM): “Cluster-Based Multi-Hop MMWave Networks: Relay Selection and Performance Analysis” (May 2025). DOI: 10.1109/TCOMM.2025.3571949. →
• The best seminar titled "millimeter wave communication" in the 7th student seminar of Electrical and computer engineering updates in Khajeh Nasir al-Din Toosi University of Technology, Tehran, Iran (2022).
• Accepted through National University Entrance Exam to Iran University of Khajeh Nasir-o-din Toosi, College of Engineering for M.Sc. degree in Electrical Engineering (Telecommunications, System), and ranked 315 among approximately 167000 participants (2020).
• Accepted through National University Entrance Exam to University of Dezful, College of Engineering for B.Sc. degree in Electrical Engineering and ranked 2253 among approximately 420000 participants (2012).

Research Interests

I have a very good knowledge in Wireless Communication, MIMO, massive MIMO, Signal Processing, Stochastic Processes, Numerical Simulation and Optimization in Wireless Networks, Energy Efficiency, Beamforming, Relay Selection Algorithms and also Designing Millimeter Wave Networks. I have passed some relevant courses in my master program such as Digital Communication, Stochastic Processes, Advanced Communication Theory, Wireless Communication System, Detection Theory, Information Theory and Numerical Optimization Methods.

Wireless Communications

Wireless communication has transformed how we connect, share, and access information.

Millimeter Wave Networks

Millimeter wave networks are paving the way for faster, more efficient wireless communication.

Multi-Hop Communications

Using intermediate nodes, multi-hop communication improves network resilience and expands coverage.

Massive MIMO

This technology enhances spectrum efficiency by employing multiple antennas at base stations.

Device-to-Device communications

This technology enables direct communication between devices, bypassing the need for central networks.

Machine Learning

Machine learning in wireless communication improves spectrum efficiency and network resource allocation.

Relay Selection Algorithms

These algorithms aim to improve network reliability and throughput by selecting the most suitable relays.

Stochastic Processes

These processes model the random nature of fading, noise, and channel conditions.

Numerical Optimization Methods

Numerical optimization techniques improve wireless communication by refining system parameters.

Academic Experiences and researches

• Cluster-Based Multi-Hop MMWave Networks: Relay Selection and Performance Analysis (paper).

  DOI: 10.1109/TCOMM.2025.3571949. →

• Analysis of cluster-based multi-hop millimeter wave networks (master's thesis).
• Study and analysis of millimeter wave communications (master's seminar).
• Investigating optimization applications in millimeter wave communications.
• Capacity analysis in relay channels.
• Using the constant modulus algorithm for semi-blind adaptive beamforming in smart antennas.
• Investigating the question of limited noise or limited interference for millimeter wave networks.
• Study of millimeter wave mobile communication for 5G cellular.
• Implementation of coding and decoding arithmetic program in python language. click here!
• Design and manufacture of a smart, wireless temperature control system for closed environments, utilizing the Atmega16 microcontroller, HMT&R transmitter and receiver modules, and LM35 temperature sensor (bachelor's thesis). click here!

Teaching Experiences

Lecturer of the following courses at GAJ Andisheh Moalem Institute (2011-2020), Khuzestan, Iran:

• Calculus I (2012)
• Calculus II (2013)
• Differential Equations (2014)
• Engineering Mathematics (2014)
• Electronic Circuits (2015)
• Communication I (2016-2017)
• Signals and systems (2019-2023)
• Engineering Probability and Statistics (2019-2023)

Licenses & Certifications

• Machine Learning Specialization, Online Course, Coursera, Stanford University, click here
• Unsupervised Learning, Recommenders, Reinforcement Learning, Online Course, Coursera, Stanford University, click here
• Advanced Learning Algorithms, Online Course, Coursera, Stanford University, click here
• Supervised Machine Learning: Regression and Classification, Online Course, Coursera, Stanford University, click here
• Machine Learning with Python, Online Course, Coursera, IBM, click here
• MATLAB Programming for Engineers and Scientists Specialization, Online Course, Coursera, Vanderbilt University, click here
• Introduction to Programming with MATLAB, Online Course, Coursera, Vanderbilt University, click here
• Mastering Programming with MATLAB, Online Course, Coursera, Vanderbilt University, click here
• Introduction to Data, Signal, and Image Analysis with MATLAB, Online Course, Coursera, Vanderbilt University, click here
• Programming for Everybody (Getting Started with Python), Online Course, Coursera, University of Michigan, click here
• Python Data Structures, Online Course, Coursera, University of Michigan, click here
• Using Python to Access Web Data, Online Course, Coursera, University of Michigan, click here
• Learning MATLAB, Online Course, LinkedIn
• MATLAB Programming Fundamental, IEEE KNTU Student Branch

My Skills and Experiences

I am quite familiar with most of the software tools which are required for my field of study (such as MATLAB, Python Programming, LT Spice).

Languages

Recreational Activities

Art:

• Playing guitar (Basic)
• Playing piano (Basic)

Sports:

• Football (advanced)
• Volleyball (intermediate)
• Ping-Pong (intermediate)

Activity:

• Reading English novels and magazines
• Watching Documentaries