معرفی
Doina Caragea is a Professor in the Department of Computer Science at Kansas State University, affiliated with the Carl R. Ice College of Engineering. She holds the Don and Linda Glaser Keystone Research Scholar title and is actively engaged in research and teaching in machine learning, deep learning, and data science.
Education:
- Ph.D. in Computer Science, Iowa State University, 2004
- M.S. in Computer Science, University of Bucharest, 1997
- B.S. in Computer Science, University of Bucharest, 1996
Her research focuses on machine learning and data mining with applications in text analytics, bioinformatics, digital agriculture, and security informatics. She has made significant contributions to semi-supervised learning and domain adaptation, especially in scenarios with limited labeled data. Her interdisciplinary work bridges computer science with life sciences and social sciences to solve real-world challenges.
The recent publication trend highlights her focus on deep learning architectures, particularly transformer models and contrastive learning, applied to disaster image classification—indicating a growing interest in crisis informatics and multimodal AI for humanitarian applications.
Scientific Awards:
- Iowa State University Research Excellence Award
- IBM Fellowship (2002, 2003)
- Don and Linda Glaser Keystone Research Scholar
Doina Caragea has secured over $12 million in external funding as PI, co-PI, or senior personnel from NSF and industry sources. She has advised four doctoral students and more than 25 master’s students, demonstrating a strong commitment to graduate education and mentorship.
She teaches graduate and undergraduate courses, including CIS831/CIS532: Deep Learning (offered Fall 2017, 2019–2023) and CIS761: Database Management Systems (designed in 2013, offered Spring 2016–2024). Her courses cover foundational and advanced topics in deep learning, neural networks, relational databases, SQL, and NoSQL systems.
