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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 / مصعب رضایی)

Education

2020 - Present:

Ph.D. Student in Computer Science

Northern Illinois University, DeKalb, Illinois

2015 - 2018:

M.S. in Artificial Intelligence and Robotics

Shahid Chamran University of Ahvaz, Ahvaz

Research Interests

Deep Learning
Object Detection
Face Recognition
Stylometry
Large Language Models (LLM)
Natural Language Understanding (NLU)
Natural Language Processing (NLP)
Natural Language Generation (NLG)

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

2025:

Detecting, Generating, and Evaluating in the Writing Style of Different Authors [Link]

Mosab Rezaei.

Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL) in Student Research Workshop (SRW)

2025:

Differentiating U.S. Presidential Written Texts from Transcribed Speeches Using Word Dependencies in Graph Neural Networks [Link]

Mosab Rezaei, Miguel Williams, Reva Freedman, and Lei Zhang.

Midwest Speech and Language Days (MSLD)

2024:

Text vs. Transcription: A Study of Differences Between the Writing and Speeches of US Presidents [Link]

Mina Rajaei Moghadam, Mosab Rezaei, Gülşat Aygen, and Reva Freedman.

4th International Conference on Natural Language Processing for Digital Humanities (NLP4DH)

2024:

Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora [Link]

Mina Rajaei Moghadam, Mosab Rezaei, Miguel Williams, Gülşat Aygen, and 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)

Talks and Presentations

7 Mar 2025:

Invited speaker for the seminar on “Forward-Forward Algorithm” [Link]

AI/ML Seminar, Northern Illinois University

29 Jan 2025:

Invited speaker for the panel on “AI in Industry and Research” [Link]

National Autonomous University of Mexico (IIMAS-UNAM)

Honors

2024:

Member of Phi Beta Delta: Honor Society for International Scholars

Northern Illinois University, DeKalb, IL

Projects

Deep Learning - NLU, NLP, NLG:

- - Generating and evaluating sentences in different author’s writing styles.
  - Graph neural networks on natural language understanding and processing.
  - Analyzing syntactic and lexical differences in the transcription of speech and written books. [Link] & [Link]

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.

Machine Learning:

Detecting the face skin by training the Expectation Maximization and Fuzzy C-Means techniques in challenging images. [Link]
Embedding code snippets based on their structural and semantic features by shallow neural networks to find similar methods and test cases. [Link]

Data Visualization:

Developing an interactive web-based visualization for the NFL dataset in JavaScript to express the performance of the players and comparing their abilities. [Link]
Developing the interactive, web-based visualization to identify the most important threats among a given set of textual reports. [Link]

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]

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