Mosab Rezaei
Mosab Rezaei
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I am a PhD candidate in Computer Science at Northern Illinois University (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 am also designing and researching AI agents with reasoning strategies, tool use, and retrieval-augmented generation (RAG).
Education
Education
Aug 2020 - Dec 2026:
NIU - PhD in Computer Science
Aug 2015 - Feb 2018:
SCU - Master in Artificial Intelligence and Robotics
Experience
Experience
Jun 2026 - Sep 2026:
AI Research Scientist
Armantek, Reston, VA - Remote
Aug 2020 - May 2026:
Teaching Assistant
Department of Computer Science, NIU
Jul 2018 - Feb 2020:
Research Assistant
Information Theory and Machine Learning Laboratory, SCU
Mar 2018 - Jun 2018:
Teaching Assistant
Information Theory and Machine Learning Laboratory, SCU
Research Interests
Research Interests
AI Agents
Reasoning
Stylometry
Deep Learning
Neural Networks
Object Detection
Face Recognition
Learning Algorithms
Computational Linguistics
Large Language Models (LLMs)
Natural Language Processing (NLP)
Natural Language Generation (NLG)
Papers
Papers
2026:
Spoken or Written? Multi-Level Topic Modeling and Explainable AI Visualization in Stylometry [Link, Visualization]
FLAIRS - 39th
2026:
Multi-Agent LLMs for Style-Controlled and Faithful Scientific Conclusion Generation [Link]
MSLD (Proposal)
2026:
Distinguishing Speech from Writing with Multi-Topic Clustering and Visual Explainable AI [Link]
MSLD (Proposal)
2025:
Generation, Evaluation, and Explanation of Novelists’ Styles with Single-Token Prompts [Link]
ACM/IEEE - JCDL
2025:
Detecting, Generating, and Evaluating in the Writing Style of Different Authors [Link]
Mosab Rezaei.
NAACL - SRW (Proposal)
2025:
Differentiating U.S. Presidential Written Texts from Transcribed Speeches Using Word Dependencies in Graph Neural Networks [Link]
MSLD (Proposal)
2024:
Text vs. Transcription: A Study of Differences Between the Writing and Speeches of US Presidents [Link]
NLP4DH - 4th
2024:
Investigating Lexical and Syntactic Differences in Written and Spoken English Corpora [Link]
FLAIRS - 37th
2023:
Test Case Recommendations with Distributed Representation of Code Syntactic Features [Link]
ACM/IEEE - ASEW - 38th
2019:
Assessing the Effect of Image Quality on SSD and Faster R-CNN Networks for Face Detection [Link]
ICEE - 27th
Talks
Talks
25 Apr 2025:
Invited speaker for the AI/ML Seminar on "LoRA, QLoRA, DoRA: Low-Rank Adaptation of Large Language Models"
Department of Computer Science, NIU
7 Mar 2025:
Invited speaker for the AI/ML Seminar on "Forward-Forward Algorithm"
Department of Computer Science, NIU
29 Jan 2025:
Invited speaker for the panel on "AI in Industry and Research"
National Autonomous University of Mexico
18 Dec 2019:
Workshop Instructor, "Introduction to Deep Learning in Medical Science"
Department of Biostatistics, KUMS
Honors
Honors
2024:
Member of Phi Beta Delta: Honor Society for International Scholars
Northern Illinois University
Professional Service
Professional Service
2026:
Program Committee & Reviewer
ACM and IEEE Joint Conference on Digital Libraries (JCDL)
2026:
Program Committee & Reviewer
The 27th IEEE 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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