Dr. Sasan Azizian
- Title: Assistant Professor of Software Development
- College: College of Science and Technology
- Email Address: sazizian@bellevue.edu
- Office Phone: 1.402.557.7389
- Office Location: Room 4122
- Subject(s):
- Computer Science
- Software Engineering
- Artificial Intelligence
- Data Science
- Degrees Awarded:
- Ph.D. in Computer Science (Artificial Intelligence), University of Nebraska-Lincoln
- M.S. in Computer Science, University of Nebraska at Omaha
- M.S. in Computer Engineering, Tehran science and research
- B.S. in Computer Engineering
- Experience: Over a decade of combined academic and industry experience in software engineering, artificial intelligence, and data science. Former software engineer and researcher with expertise in building intelligent systems and mentoring students across computer science and business analytics disciplines.
- Artificial Intelligence
- Machine Learning
- Software Architecture
- Deep Learning
- Health Informatics
- Software Engineer
- Deep Learning for microRNA-protein interaction prediction
- Object-Relational Mapping Optimization
- AI Applications in Healthcare and Wearables
- Generative AI and Trust in Technology
- S. Azizian and J. Cui, "DeepMiRBP: A Hybrid Model for Predicting microRNA-Protein Interactions Based on Transfer Learning and Cosine Similarity," BMC Bioinformatics, vol. 25, no. 1, 2024, pp. 381.
- S. Azizian, E. Rastegari, and H. Bagheri, "Leveraging Machine Learning for Optimal Object-Relational Database Mapping in Software Systems," in Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024.
- S. Azizian and J. Cui, "Discovery of Small RNA Sorting Determinants Through Hybrid Deep Learning Model," in RECOMB/ISCB Conference on Regulatory and Systems Genomics with DREAM Challenges, 2023.
- S. Azizian, E. Rastegari, B. Ricks, and M. Hall, "Identifying Personal Messages: A Step Toward Product/Service Review and Opinion Mining," in Proceedings of the International Conference on Computing and Information Technology, 2017.
- E. Rastegari, S. Azizian, and H. Ali, "Machine Learning and Similarity Network Approaches to Support Automatic Classification of Parkinson's Disease Using Accelerometer-Based Gait Analysis," in Proceedings of the International Conference on Bioinformatics & Computational Biology (BIOCOMP), 2016.
My research focuses on the intersection of artificial intelligence, bioinformatics, and software engineering. I apply deep learning and transfer learning techniques to analyze RNA-protein interactions and model post-transcriptional gene regulation. In software engineering, I explore architecture-driven approaches to optimize object-relational mappings based on performance and scalability. I am also actively investigating the role of generative AI in education, user trust in AI systems, and the use of sensor-based technologies in health informatics.
© 2025 - Bellevue University