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Mohammadreza Abbaszadeh

Hello, my name is Mohammad Reza Abbaszadeh. I am a prospective PhD student highly motivated to pursue advanced studies in Computer Science, specializing in Machine Learning. I'm 27 years old and I was born in Tabriz, Iran. My bachelor's degree was in English Translation from Azad University of Tabriz. Despite this background, my lifelong passion for technology and computers led me to pursue a master's degree in Computer Science, specializing in Artificial Intelligence, at the University College of Nabi Akram in Tabriz, Iran. I am driven by a desire to influence people positively and help them follow their true passions. Currently, I am deeply immersed in my master's program, focusing on the Artificial Intelligence subfield. My next goal is to pursue a PhD in Computer Science, specializing in Machine Learning. To describe myself further, I am a curious, knowledgeable, and determined researcher. I am highly driven, with a clear goal to succeed in my academic and professional endeavors. Colleagues and peers often describe me as an inspirational and motivated individual who brings hope and positive energy to those around me. Above all, I am a self-learner, always energetic and eager to acquire new skills and knowledge.
Living in : Iran
Gender : MaleRace : Middle Eastern
Academic Profile
Posts

Contact Information

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MohammadrezaAbbaszadehApplyChance Link

Educations

Nabi Akram nstitute of Higher Education logo
Artificial IntelligenceMaster'sNabi Akram nstitute of Higher Education2024-08-14 Iran

English Scores

IELTS01-Jan-0001
7.5/9Total
Reading :
0/9
Speaking :
0/9
Listening :
0/9
Writing :
0/9

Journal Publications

Publication Title :
Enhancing network intrusion detection: a dual-ensemble approach with CTGAN-balanced data and weak classifiersFirst author
Journal :
Journal of Supercomputing
Link :
Publication Title :
Enhancing network intrusion detection: a dual-ensemble approach with CTGAN-balanced data and weak classifiersFirst author
Journal :
Neural Computing and Applications
Link :
Publication Title :
Beyond Imbalance: Advancing Breast Cancer Diagnosis with Synthetic Data and ML ModelingFirst author
Journal :
Computers in Biology and Medicine
Link :

Research Keywords

Machine Learning
data science
Deep Learning
computer vision
Generative Models

Awards

First Rank Student in UniversityMaster