Mosab Rezaei
I am a Ph.D. student in the Department of Computer Science at Northern Illinois University. My passion for Artificial Intelligence has driven me for over ten years in this area, focusing predominantly on Image Detection and Natural Language Processing with both classical Machine Learning algorithms and Deep Neural Networks. My current research centers on the Detection and Generation of textual documents, with a focus on Stylometry. I have also been involved in a diverse array of projects including machine learning, data visualization, and software engineering.
Natural Languages:
English: Advance (Mosab Rezaei)
Kurdish: Mother Tongue (مۆسعەب ڕەزائی)
Persian: Native (مصعب رضائی)
Education
2020 - Present:
Ph.D. Student in Computer Science
Northern Illinois University, DeKalb, Illinois, US
2015 - 2018:
M.S. in Artificial Intelligence and Robotics
Shahid Chamran University of Ahvaz, Ahvaz, Iran
2009 - 2011:
B.S. in Computer Software Technology Engineering
University of Science and Culture, Hamedan, Iran
Research Interests
Deep Learning
Object Detection
Face Recognition
Stylometry
Natural Language Processing
Natural Language Generation
Experiences
Aug 2020 - Present:
Teaching Assistant
Department of Computer Science, Northern Illinois University
Principles Operating Systems
Computer Architecture and Systems Organization
Introduction to Software Engineering
Computer Programing in C++
18 Dec 2019:
Workshop Instructor
Department of Biostatistics, Kermanshah University of Medical Sciences
Title: Introduction to Deep Learning in Medical Science
Jul 2018 - Feb 2020:
Research Assistant
ITML Laboratory, Shahid Chamran University of Ahvaz
Deep Learning
Mar 2018 - Jun 2018:
Teaching Assistant
ITML Laboratory, Shahid Chamran University of Ahvaz
Deep Learning
Papers
2024: (Accepted)
Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora [Link]
Mina Rajaei Moghadam, Mosab Rezaei, Miguel Williams, Gülşat Aygen, Reva Freedman.
37th International Florida Artificial Intelligence Research Society Conference (FLAIRS)
2023:
Test Case Recommendations with Distributed Representation of Code Syntactic Features [Link]
Mosab Rezaei, Hamed Alhoori, and Mona Rahimi.
38th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW)
2019:
Assessing the Effect of Image Quality on SSD and Faster R-CNN Networks for Face Detection [Link]
Mosab Rezaei, Elhamossadat Ravanbakhsh, Ehsan Namjoo, and Mohammad Haghighat.
27th Iranian Conference on Electrical Engineering (ICEE)
2016:
Comparison Between EM and FCM Algorithms in Skin Tone Extraction [Link]
Elham Ravanbakhsh, Ehsan Namjoo, Mosab Rezaei, and Padideh Choobdar.
1st International Conference on New Research Achievements in Electrical and Computer Engineering (ICNRAECE)
Projects
Deep Learning - NLG:
Generating natural language sentences in different author’s writing styles.
Deep Learning - NLP:
Implementing a model with the LSTM networks to detect the author of the documents based on the author’s writing style.
Analyzing syntactic and lexical differences in the transcription of speech and written books.
Deep Learning - Object Detection:
Designing a Joint face detection and gender recognition model using the Faster R-CNN network on the very challenging IMDB dataset. [Link]
Designing a convolutional neural network classifier to detect the location of the faces in an image.
Data Visualization:
Software Engineering:
Developing a graphical Christopher Columbus game in Java by considering Design Patterns in software engineering. [Link]
Developing software in Java in order to propose the shortest path in any given map by genetic algorithm.
Computer Architecture:
Developing a computer simulation in C++ that is capable of executing machine language programs. [Link]
