Fatma Nasoz, Ph.D.
Associate Professor and Graduate Coordinator, Department of Computer Science
Biography
Fatma Nasoz, Ph.D. is an Associate Professor and the Graduate Coordinator for the Department of Computer Science. Her research interests include machine learning and deep learning, with a focus on analyzing primary and secondary data across health, education, finance, and genomics. Most recently, she is a co-investigator on the Genomics Acquisition and Analysis (GAA) Core, supporting genomics research for the $11.4M NIH grant awarded to the Nevada Institute of Personalized Medicine (NIPM) to establish a Center of Biomedical Research Excellence (COBRE) at 51³Ô¹ÏºÚÁÏ. She is also a co-principal investigator on a Teledyne-Brown Engineering grant to develop computer and video-based learning tools for the cadre as well as for the International Space Station (ISS) payload developers at NASA.
Nasoz was the Director of Data Science at The Lincy Institute from 2011-2024, leading research in data collection, management, analysis, and visualization. She spearheaded data and technology initiatives, collaborated with local organizations to enhance their IT and data management capacities, and maintained a focus on high-quality, low-cost systems.
Passionate about increasing women's participation in Computer Science, Nasoz helped launch 51³Ô¹ÏºÚÁÏ’s first Girls Who Code Club in 2017, offering programming, web development, mobile development, and robotics instruction to local high school girls. She received 51³Ô¹ÏºÚÁÏ’s 2018 Faculty/Staff Community Outreach Award for this effort.
She is affiliate faculty with the Nevada Institute of Personalized Medicine as well as the Learning Sciences program at the Department of Educational Psychology and Higher Education.
Education
- Ph.D. in Computer Science, July 2004, University of Central Florida
- M.Sc. in Computer Science, December 2003, University of Central Florida
- B.Sc. in Computer Engineering, June 2000, Bogazici University
Research Interests
- Machine Learning and Deep Learning
- Data Analysis and Visualization
- Human-Computer Interaction