معرفی
Hajar Homayouni is an Assistant Professor in the Department of Computer Science at San Diego State University's College of Sciences. She specializes in Data Science, Database Systems, Applied Machine Learning, and Big Data Quality Assurance. Her work bridges theoretical research with practical applications in healthcare informatics, data privacy, and educational technology.
- Ph.D. in Computer Science from Colorado State University (2020)
- MS in Computer Science (Colorado State University, 2017)
- MS in Artificial Intelligence (Alzahra University of Tehran, 2013)
- BS in Software Engineering (University of Kashan, 2008)
Her research focuses on developing advanced methodologies for anomaly detection, synthetic data generation, and data quality assurance, with applications in public health (particularly COVID-19 analysis), cardiovascular research, and medical imaging. She has pioneered approaches using transformer architectures and federated learning frameworks for improved data analysis and privacy preservation.
Recent publications highlight her work in machine learning interpretability, multimodal medical data generation, and time-series anomaly detection. Her research has been recognized with multiple awards including the Harvard PingPong Generative AI Tutor Award and Teach Access Fellowship.
- Harvard PingPong Generative AI Tutor Award ($1,000)
- Teach Access Fellowship ($4,000)
- SDSU Inclusive Excellence Faculty Fellowship
- STARS Computing Corps Fellowship ($1,000)
- Grace Hopper Celebration Scholarship
She supervises numerous graduate and undergraduate students in research projects covering synthetic data generation, visual phishing detection, and medical data analysis. Her grants portfolio includes over $1 million in federal and private funding, with notable awards from NSF, NIH, and Microsoft Research.
