Mohammad Sediq Abazari

Mohammad Sediq Abazari - PhD Applicant in Computer Science

Mohammad Sediq Abazari, M.Sc.

Aspiring PhD Candidate in Computer Science

Highly motivated and research-oriented Computer Engineer with a Master's degree from Ferdowsi University of Mashhad. Passionate about leveraging machine learning, network engineering, and data analysis to solve complex problems. Seeking a challenging PhD position to contribute to cutting-edge research in Computer Science.

Get in Touch

Education

09/2020 - 08/2023

M.Sc. Computer Engineer (Network Engineer Branch)

Ferdowsi University of Mashhad

Thesis:

"Network assurance in intent-based Network by energy efficiency approach."

Supervisor: Mohammad Hossein Yaghmaee Moghaddam

GPA: 17.78 / 20 (Ranked 3rd)

09/2015 - 02/2020

B.Sc. Computer Engineer (Software Engineer)

University of Bojnord

Final Project:

"Health care system production and patient health data analysis."

Supervisor: Mehran Garmehi

GPA: 16.2 / 20 (Ranked 2nd)

Research Interests

Machine Learning Neural Networks Deep Learning Data Mining Cybersecurity Software Engineering Big Data Analysis Future Network Architecture Distributed Systems Internet of Vehicles (IoV)

Publications

Pruning and Mixed Precision Techniques for Accelerating Neural Network

Authors: Mahsa Zahedi, Mohammad Sediq Abazari, Abdorreza Savadi.

13th ICCKE. Accepted 9/2023. DOI: 10.1109/ICCKE60553.2023.10326309

Analyzing Power Usage in Datacenter Workloads Using Random Forest and LSTM Models

Authors: Mohammad Sediq Abazari, Mahsa Zahedi, Mohammad Hossein Yaghmaee Moghaddam.

6th SCIoT. Published 2024. DOI: 10.1109/SCIoT62588.2024.10570112

Improve the Utility of Tensor Cores by Compacting Sparse Matrix Technique

Authors: Mahsa Zahedi, Mohammad Sediq Abazari, Abdorreza Savadi.

14th ICCKE. Published 2024. DOI: 10.1109/ICCKE65377.2024.10874581

Energy Consumption Optimization of Data Centers in Intent-Based Networking by Network Assurance Engine

Authors: Mohammad Sediq Abazari, Mohammad Hossein Yaghmaee Moghaddam.

Springer Journal of Energy Efficient. (Under Review)

Enhancement of Performance and Tensor Network Pruning through Core-Based Matrix Compression

Authors: Mahsa Zahedi, Mohammad Sediq Abazari, Abdorreza Savadi.

IEEE Transactions on Artificial Intelligence. (Under Review)

View on Google Scholar arrow_forward

Skills

codeCoding Languages

Python, Java, Android, VHDL, PHP, HTML, CSS, Laravel, TeX

storageDatabases

MySQL, SQLite

languageWeb Development

HTML, CSS, JavaScript, Apache Web Server

buildSoftware & Tools

Anaconda, Jupyter Notebook, PyCharm, WebStorm, Visual Studio, Android Studio, Arduino IDE, Texmaker, Office Suite, Adobe Photoshop

translateLanguages

Persian (Native)

English (Duolingo: 135 - Literacy 145, Comprehension 140, Conversation 115, Production 105)

miscellaneous_servicesMiscellaneous

Academic Research, Teaching, Training, TeX Typesetting, Graphic Design, Network Configuration, PC Assembling

Contact Me

I'm actively seeking PhD opportunities and collaborations. Feel free to reach out!

email [email protected]

alternate_email [email protected]

link linkedin.com/in/mohammad-s-abazari