I am a PhD candidate in Electrical and Computer Engineering, advised by Professor Alexander G. Schwing. In my thesis, I am developing methods for scalable inference and learning for structured prediction in computer vision. Previously, I have also worked on systems and healthcare analytics.
I graduated with Bachelor and Master degrees in Electrical engineering and Information technology from the Technical University of Munich. I also obtained a Master degree in Computer engineering from Virginia Polytechnic and State University, advised by Professor Sandeep Shukla. I was a visiting scholar at UC Berkeley, where I worked on my master thesis under the supervision of Professor Alberto Sangiovanni Vincentelli and Professor Andreas Herkersdorf.
Paper accepted at SIGIR
Successfully defended my Ph.D. Thesis!
I am on the job market! Please, feel free to get in touch!
Successfully passed my preliminary exam!
Paper accepted at WiCV 2020 for oral presentation
Paper accepted at CVPR 2020 for oral presentation
SW: Python, MATLAB, Pytorch, Tensorflow, C/C++
HW: Verilog, VHDL, OpenCL
I am very curious, enjoy learning new skills and exploring new ideas, art, cultures and food. I speak four languages fluently: Arabic, French, German (FSP 1.0) and English. As a teenager, I did a lot of ceramics, silk, glass and oil painting. Later on, I found joy in computer vision research. I also play piano and enjoy reading and traveling.