Seyran Khademi

Seyran Khademi was born and grew up in Kermanshah, located in the western part of Iran. She received the BSc. degree in electrical engineering, in 2005 from University of Tabriz with a dissertation in the field of telecommunications. After her bachelor studies she held a position as an application engineer in a private company in Tehran. She got her MSc degree in signal processing for wireless communications from Chalmers University of Technology in Gothenburg, Sweden in 2010. She did her MSc thesis in collaboration with the ArrayComm Company in San Jose, California under the supervision of prof. Mats Viberg. She started her PhD at the signal processing group at Delft University of Technology (TUD), The Netherlands in January 2011 under the supervision of prof. Alle-Jan van der Veen. In 2015, she was appointed as a postdoctoral researcher at TUD, working on audio and speech processing algorithms. In 2017 she started another postdoc position in the computer vision and pattern recognition lab at TUD, combining signal processing and machine learning for visual analysis. She is working partly on the ArchiMediaL project (http://archimedial.eu/), related to automatic detection of buildings and architectural elements in visual representations. Her main research interest lies on:

•       Statistical Signal Processing

•       Deep learning

•       Image Processing and Computer Vision

•       Pattern Recognition

•       Optimization Techniques