Dr. Mehmet Kurum,
Doç. Dr. Kadim Taşdemir
Uluslararası Antalya Üniversitesi
Doç. Dr. Esra Erten
İstanbul Teknik Üniversitesi
Yard. Doç. Dr. Gülşen Taşkın
İstanbul Teknik Üniversitesi
- Dr. Mehmet Kurum
Mehmet Kurum received the B.S. degree in electrical and electronics engineering from Boğaziçi University, Istanbul, Turkey, in 2003 and the M.S. and Ph.D. degrees in electrical engineering from the George Washington University (GWU), Washington, DC, in 2005 and 2009, respectively. During his stay at GW, he has worked designing, building and testing a total power L band radiometer that has been used to sense soil moisture remotely and he has also involved in research on forward and backscattering modeling of rainfall using the NASA Microwave LINK, located at Wallops Flight Facility. His dissertation research was on radar time-domain characterization of wave propagation in forested landscapes and the development of the NASA’s microwave active/passive system called ComRAD.
After completing the PhD, he was awarded a postdoctoral position at Hydrological Sciences Laboratory (HSL) of NASA Goddard Space Flight Center (GSFC), Greenbelt, Maryland where he worked for three and a half years on development of soil moisture retrieval algorithm and simulations in support of the NASA Soil Moisture Active Passive (SMAP) satellite mission. During that time, he has also served as the laboratory manager of the Hydrology Wet Lab at NASA GSFC HSL for a year.
In December 2012, Dr. Kurum joined Information Technologies Institute of TUBITAK-BILGEM, Gebze, Turkey, where he is working as a chief researcher. His research interests include microwave modeling of land surface and hydrological features, microwave radiometer and radar systems, multispectral optic and SAR/InSAR approaches within disaster management and mitigation domain, and applications to Earth remote sensing in space.
Dr. Kurum is a reviewer for several journals including IEEE Trans. on Geosciences Remote Sensing (TGRS), IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), IEEE Geosciences and Remote Sensing Letters (GRSL), Remote Sensing of Environment (RSE), Progress in Electromagnetics Research Symposium (PIERS), American Geophysical Union Water Resources Research (WRR), and Journal of Applied Remote Sensing (JARS).
Dr. Kurum is a member of IEEE, IEEE Geoscience and Remote Sensing Society (GRSS), and the Chamber of Electrical Engineers (EMO) of Turkey. He is also founding member of IEEE GRSS Turkey Chapter.
Dr. Kurum received Leopold B. Felsen Award for excellence in electromagnetics in 2013 and Young Scientist Award from the International Union of Radio Science (URSI) in 2014.
- Doç. Dr. Kadim Taşdemir
Kadim Tasdemir received his B.S. degree from Bogazici University, Istanbul, Turkey, in 2001, his M.S. degree from Istanbul Technical University in 2004, and his Ph.D. degree from Rice University, Houston, TX, in 2008. Before joining AIU, he was a researcher at the European Commission Joint Research Centre (JRC), (Institute for Environment and Sustainability) from 2009 to 2012, where he worked on automated control methods for monitoring agricultural resources using remote sensing imagery. Based on his research excellence and contribution, he received 2011 IES Best Young Scientist Award. Before JRC, he worked as Assistant Professor at Department of Computer Engineering, Yasar University, Izmir, Turkey, in 2008-2009. During 2003-2008, he was a research assistant at Rice University, where he developed visualization and clustering methods using neural computation for detailed knowledge discovery, sponsored by NASA Applied Information Systems Research Program. He was also awarded “Rice University Robert Patten Award” for his contributions to graduate life. During 2001-2003, he was a research assistant at Istanbul Technical University, where he worked on License Plate Recognition project.
Dr. Tasdemir's research interests include detailed knowledge discovery from high-dimensional and large data sets (especially remote sensing imagery) using machine learning ( self-organized learning in particular), data mining and pattern recognition.
Dr. Tasdemir is a member of IEEE, IEEE Computational Intelligence Society, IEEE Geoscience and Remote Sensing Society, IAPR- TC7 Remote Sensing and Mapping, and IAPR-TC15 Graph Based Representations. He is also a program committee member for Workshop on Self-Organizing Maps, Recent Advances in Space Technologies.
Dr. Tasdemir is a reviewer for several journals including IEEE Trans. on Neural Networks and Learning Systems, IEEE Trans. on Image Processing, IEEE Trans. on Systems Man and Cybernetics, IEEE Signal Processing Letters, ISPRS Journal of Photogrammetry and Remote Sensing, International Journal of Remote Sensing, Neural Processing Letters.
- Doç. Dr. Esra Erten
- Esra Erten received the B.S degree in Geodesy and Photogrammetry Engineering and the M.S.E.E. degree in Satellite Communication and Remote Sensing from Istanbul Technical University (ITU), Turkey, in 2003 and 2005, respectively. She took the Ph.D. degree from the department of Computer Vision and Remote Sensing at Berlin University of Technology, 2010. She was with the High-Frequency Institute, German Aerospace Center (DLR), Oberpfaffenhofen, Germany, from April 2008 to June 2010, where she worked on information theory for multi-channel SAR images. From 2010 to 2012, she was with the Chair of Earth Observation and Remote Sensing, Institute of Environmental Engineering, ETH Zurich, where she worked on applied radar remote sensing for environmental parameter estimation. Currently, she is an associate professor at the department of Geomatics Engineering, Faculty of Civil Engineering, ITU, Istanbul. Her research interests include information extraction and image understanding from SAR and optical images; in particular information theory, multivariate statistics, polarimetry, interferometry, and hyper-spectral imaging.
- Yard. Doç. Dr. Gülşen Taşkın
- Gulsen Taskin Kaya received the B.S. degree in geomatics engineering, the M.S. Degree in computational science and engineering, and the Ph.D. degree in computational science and engineering, from Istanbul Technical University (ITU), Turkey, in 2001, 2003, and 2011, respectively. She is currently an Assistant Professor at the Institute of Earthquake Engineering and Disaster Management of Istanbul Technical University. She was a visiting scholar at the School of Electrical and Computer Engineering, Purdue University, in 2008–2009. Her current interests include pattern recognition in remote sensing, support vector machines, neural networks, earthquake damage assessment using remote sensing images, multitemporal image analysis. She is a reviewer for Photogrammetric Engineering and Remote Sensing and IEEE Transactions on Geoscience and Remote Sensing.