Firat Ozdemir
Sr. Data Scientist
Academia
(Alumni)
Firat completed his undergraduate studies in Electronics Engineering at Sabanci University. He later received his MSc. in Electrical and Electronics Engineering from EPFL. He conducted his doctoral studies on medical image segmentation in Computer Vision Lab at ETH Zurich. In between, he visited INRIA (Sophia Antipolis, France) and ABB Corporate Research Center (Baden, Switzerland). His research interests revolve around computer vision and machine learning, with a focus on the medical domain. He has been with SDSC since 2019.
Projects
DeepCloud
In Progress
A data-driven sub-grid parametrization for complex terrain
Energy, Climate & Environment
DLBIRHOUI
In Progress
Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging
Biomedical Data Science
DATALAKES
Completed
Heterogeneous data platform for operational modelling and forecasting of Swiss lakes
Energy, Climate & Environment
BISTOM
Completed
Bayesian Parameter Inference for Stochastic Models
Big Science Data
Publications
Mentioned in
February 28, 2023
DLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging
DLBIRHOUI | Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging
Optoacoustic imaging is a new, real-time feedback and non-invasive imaging tool with increasing application in clinical and pre-clinical settings. The DLBIRHOUI project tackles some of the major challenges in optoacoustic imaging to facilitate faster adoption of this technology for clinical use.
June 25, 2021
DATALAKES | Heterogeneous data platform for operational modeling and forecasting of Swiss lakes
DATALAKES | Heterogeneous data platform for operational modeling and forecasting of Swiss lakes
The Datalakes project creates a user-friendly online platform that allows spatial and temporal analysis of lakes through hydrological and ecological data.
Case Studies
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