Mosab Rezaei
Mosab Rezaei
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I am an AI Research Scientist at Armantek and a Ph.D. candidate in Computer Science at NIU with over 10 years of Artificial Intelligence (AI) experience across theory, development, and applications, focusing on deep learning, natural language processing (NLP), natural language generation (NLG), and large language models (LLMs). I build end-to-end machine learning systems, from optimization and deployment to explainability, with hands-on work in computer vision and object detection. My current research focuses on stylometry and style-conditioned text generation, combining classical machine learning methods with deep neural networks to improve the efficiency, interpretability, and adaptability of LLMs. I’m also designing and researching AI agents with reasoning strategies, tool use, and RAG.
Professional Experience
Professional Experience
Jun 2026 - Present:
AI Research Scientist
Armantek
Machine Learning Team
Education
Education
Aug 2020 - Present:
Ph.D. Candidate in Computer Science
Northern Illinois University, DeKalb, Illinois
Dissertation: "Generation, Evaluation, and Explanation in the Writing Style of Different Authors"
Aug 2015 - Feb 2018:
M.S. in Artificial Intelligence and Robotics
Shahid Chamran University of Ahvaz, Ahvaz
Thesis: "Face Detection Using Deep Neural Networks"
Academic Experiences
Academic Experiences
Aug 2020 - May 2026:
Teaching Assistant
Department of Computer Science, Northern Illinois University
Jul 2018 - Feb 2020:
Research Assistant
ITML Laboratory, Shahid Chamran University of Ahvaz
Mar 2018 - Jun 2018:
Teaching Assistant
ITML Laboratory, Shahid Chamran University of Ahvaz
Research Interests
Research Interests
Stylometry
AI Agent
Deep Learning
Object Detection
Face Recognition
Computational Linguistics
Large Language Models (LLMs)
Natural Language Processing (NLP)
Natural Language Generation (NLG)
2026:
Spoken or Written? Multi-Level Topic Modeling and Explainable AI Visualization in Stylometry [Link, Visualization]
Mina Rajaei Moghadam, Mosab Rezaei, David Koop, Maoyuan Sun, Reva Freedman.
39th International Florida Artificial Intelligence Research Society Conference (FLAIRS)
2026:
Multi-Agent LLMs for Style-Controlled and Faithful Scientific Conclusion Generation [Link]
Mosab Rezaei, Mina Rajaei Moghadam, Lei Zhang, Hamed Alhoori, Reva Freedman.
Midwest Speech and Language Days (MSLD) [Proposal]
2026:
Distinguishing Speech from Writing with Multi-Topic Clustering and Visual Explainable AI [Link]
Mina Rajaei Moghadam, Mosab Rezaei, David Koop, Maoyuan Sun, Reva Freedman.
Midwest Speech and Language Days (MSLD) [Proposal]
2025:
Generation, Evaluation, and Explanation of Novelists’ Styles with Single-Token Prompts [Link]
Mosab Rezaei, Mina Rajaei Moghadam, Abdul Rahman Shaikh, Hamed Alhoori, Reva Freedman.
ACM/IEEE Joint Conference on Digital Libraries (JCDL)
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) [Proposal]
2025:
Differentiating U.S. Presidential Written Texts from Transcribed Speeches Using Word Dependencies in Graph Neural Networks [Link]
Mosab Rezaei, Miguel Williams, Reva Freedman, Lei Zhang.
Midwest Speech and Language Days (MSLD) [Proposal]
2024:
Text vs. Transcription: A Study of Differences Between the Writing and Speeches of US Presidents [Link]
Mina Rajaei Moghadam, Mosab Rezaei, Gülşat Aygen, 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, 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, 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, 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, Padideh Choobdar.
1st International Conference on New Research Achievements in Electrical and Computer Engineering (ICNRAECE)
Talks
Talks
25 Apr 2025:
Invited speaker for the AI/ML Seminar on “LoRA, QLoRA, DoRA: Low-Rank Adaptation of Large Language Models”
Northern Illinois University
7 Mar 2025:
Invited speaker for the AI/ML Seminar on “Forward-Forward Algorithm”
Northern Illinois University
29 Jan 2025:
Invited speaker for the panel on “AI in Industry and Research”
National Autonomous University of Mexico (IIMAS-UNAM)
18 Dec 2019:
Workshop Instructor, “Introduction to Deep Learning in Medical Science”
Department of Biostatistics, Kermanshah University of Medical Sciences (KUMS)
Honors
Honors
2024:
Member of Phi Beta Delta: Honor Society for International Scholars
Northern Illinois University, DeKalb, IL
Professional Service
Professional Service
2026
Program Committee & Reviewer
The 27th IEEE International Conference on Information Reuse and Integration for Data Science (IEEE IRI)
2026:
Program Committee & Reviewer
The 39th Canadian Artificial Intelligence Conference (CAIAC)
2025
Program Committee & Reviewer
ACM and IEEE Joint Conference on Digital Libraries (JCDL)
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