Assistant Professor
Dr. Sevim Cengiz joined the College of Technological Innovation at Zayed University (ZU) in 2024. Before this, she was part of Mohammed Bin Zayed University of Artificial Intelligence (MBZUAI).
With over seven years of combined research and business experience and a Ph.D. in engineering, she has developed strong skills in writing, analysis, research, multitasking, and effective communication and collaboration across different fields.
Professionally, she (as a data science consultant) helped with the adaptation of deep learning (DL) techniques for human activity recognition in a company. In academia, she focused on examining healthcare problems using DL to analyze medical data.
She has published several peer-reviewed research papers with local and international co-authors in highly ranked and well-recognized journals. (Over 10 articles indexed in the Science Citation Index and Scopus, 3 book chapters, 1 online book, and over 20 oral presentations and abstracts.
- Ph. D. in Engineering, Bogazici University, Turkey, 2022
- M. Sc. in Biomedical Engineering, Bogazici University, Turkey, 2016
- B. Sc. in Biomedical Engineering, Erciyes University, Turkey, 2013
- IT project management
- Data analytics
- Data science
Research Area(s)
- Data Visualization
- Deep learning adaptation for business cases (WatchOS)
- Real healthcare data analysis using deep learning
- Developing, supporting open-source software
- Human activity recognition using deep learning
- Open-source software developing
- Deep learning for computer vision
Completed Grants
- UK-based Funded project: Completed the Royal Society Newton Mobility Grant
- Turkey-based Funded project: Completed TUBITAK 1001 Grant 240.000$
