Third Floor, Room 328
2500 W North Ave
Baltimore, MD 21216
Dr. Ronak Nouri is an Assistant Professor of Mathematics and Computer Science at Coppin State University. Her academic work focuses on artificial intelligence, data science, and information systems, with particular interest in developing intelligent technologies that help address complex problems and improve decision-making in real-world environments.
Her research interests include artificial intelligence, machine learning, natural language processing, and decision support systems. More recently, her research has expanded toward behavioral AI, affective computing, and the relationship between human cognition and intelligent systems. She is particularly interested in exploring how AI can better understand human language and behavior and how these capabilities can support adaptive learning, personalized technologies, and responsible AI applications.
At Coppin State University, Dr. Nouri teaches undergraduate and graduate courses in computer science and information systems. Her teaching approach emphasizes practical applications, problem-solving, and project-based learning to help students connect theoretical concepts with current technologies. She is also involved in curriculum development and leads efforts to develop a master's program in Computer Science that reflects advances in the field and changing industry needs.
Dr. Nouri is actively engaged in student mentorship and academic initiatives that encourage participation in computing and AI research. She serves as a faculty advisor to the AI and Data Science Club and has organized activities that introduce undergraduate students to practical applications of artificial intelligence. In 2025, she received the Maryland Open Source Textbook (M.O.S.T.) Initiative Grant in support of innovative and accessible educational resources.
Dr. Nouri earned her Ph.D. in Information Systems from the University of Maryland, Baltimore County (UMBC). Her academic interests continue to develop around the connection between intelligent technologies and human behavior, with an emphasis on interdisciplinary research, student engagement, and the practical use of AI to address educational and societal challenges.
- Enhanced Textual Fuzzy Interpretive Structural Modeling (TFISM) for Complex Decision Making. (Submitted).
- MACHINE LEARNING MODEL FOR SPARSE PCM COMPLETION [Submitted]
- Nouri, R. (2022). Building textual fuzzy interpretive structural modeling to analyze factors of student mobility. UMBC. [Building textual fuzzy interpretive structural modeling to analyze factors of student mobility based on user generated content R Razavisousan, KP Joshi - International Journal of Information Management Data …, 2022]
- Nouri, R. (2021). Analyzing GDPR compliance in cloud services' privacy policies using TFISM. UMBC. [Analyzing GDPR compliance in Cloud Services' privacy policies using Textual Fuzzy Interpretive Structural Modeling (TFISM) R Razavisousan, KP Joshi - 2021 IEEE International Conference on Services …, 2021]
- Faculty Advisor, Undergraduate AI & Data Science Club
- Organizer, Interdisciplinary AI Workshop for Undergraduates (2024)
- Reviewer for journals in AI and Decision Support Systems
- Mentor for undergraduate and graduate research
- Developer, Master’s Program in Computer Science Curriculum
- Ph.D., Information Systems – UMBC (2022)
- M.Sc., Information Systems – UMBC (2017)
- MBA, Marketing & Entrepreneurship – University of Tehran (2016)
- Artificial Intelligence & Machine Learning
- Natural Language Processing
- Data Analytics & Visualization
- Decision Support Systems
- Complex Systems Modeling
- Clustering Algorithms
Maryland Open Source Textbook (M.O.S.T.) Initiative Grant, 2025
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