Hi-Res CMUT Ultrasound Imaging
High Resolution CMUT Ultrasound Imaging System
Project Coordinator: Assoc. Prof. Barış Bayram (ULTRAMEMS)
7,5 kW Permanent Magnet Integrated Modular Motor Drive
Development of a 7,5 kW Permanent Magnet Integrated Modular Motor Drive System
Project Coordinator: Assist. Prof. Ozan Keysan
Project Type: TÜBİTAK/ARDEB 3501 – Career Development Program
Improving Harmonic Motion ?wave Doppler Imaging
Improving Sensitivity, Safety and Reliability of the Harmonic Motion Microwave Doppler Imaging System
Project Coordinator: Prof. Nevzat G. Gençer
Non-Contact Ultrasonic MEMS Detector for Brain Hemorrhage
Development of MEMS based Non-Contact Ultrasonic Detector for Determination of Brain Hemorrhage
Project Coordinator: Assoc. Prof. Barış Bayram (ULTRAMEMS)
Sampling and Scheduling for Optimal Age of Information
Theoretical Limits, Algorithms and Experimentation of Sampling and Scheduling for Optimal Age of Information
Project Coordinator: Prof. Elif Uysal-Biyikoglu
On-Chip Amorphous Photonic Waveguides in Near Infrared
On-Chip Amorphous Photonic Waveguides in Near Infrared Wavelength
Project Coordinator: Assist. Prof. Serdar Kocaman
Compressive Spectral Imaging with Photon-Sieves
Compressive Spectral Imaging with Photon-Sieves: Models, Algorithms, and Experimental Implementation
Project Coordinator: Assist. Prof. S. Figen Öktem
Project Type: TÜBİTAK/ARDEB 3501 – Career Development Program
Project Duration: 36 Months
Project Start Date: October 2017
Project Budget: 221.956,46 TL
Funded Personnel: 1 PhD student (full-time), 1 MSc student (full-time), 2 undergraduate students
Synchronous Magnetic Resonance Diffusion Tensor & Conductivity Visualization
Synchronous magnetic resonance diffusion tensor and conductivity visualization
Project Coordinator: Prof. Murat Eyüboğlu
Project Duration: 36 Months
Project Start Date: March 1st, 2017
Funded Personnel: 2 Full time Ph.D., 2 half time Ph.D., 1 half time MS and 1 undergraduate student. (Open positions are available)
Prof. Halıcı's team have ranked in Top 10 in CAMELYON16 & CAMELYON17
METU Team applying Deep Learning for ISBI Challenge on Cancer Metastasis Detection in Lymph Node has ranked in
9th in CAMELYON17, (http://camelyon17.grand-challenge.org)
4th in CAMELYON16, (http://camelyon16.grand-challenge.org)
2017 METU VISION Team members:
Uğur HALICI, Professor, METU Dept. of Electrical and Electronics Eng. & Neuroscience and Neurotechnology Program
image
EE PROSPECTIVE
Slider_Image
