Marwan A. Torki
Associate Professor
Computer and Systems Engineering Department
Faculty of Engineering
Alexandria University
mtorki @ alexu. edu . eg
  Marwan Torki

I am an Associate Professor at the Computer and Systems Engineering Department, Faculty of Engineering, Alexandria University, Alexandria, Egypt. I obtained my PhD in 2011 from the Department of Computer ScienceRutgers The State University of New Jersey, under the supervision of Prof. Ahmed Elgammal

Dr. Marwan Torki is an Associate Professor in the
Computer and Systems Engineering Department at Alexandria University, Egypt. He is also lecturing in VT-MENA (Virginia Tech Middle East and North Africa) and PUA (Pharos University at Alexandria). He received his B.Sc. and M.Sc. in Computer Science from Alexandria University in 2003 and 2006 respectively and his Ph.D. in Computer Science from Rutgers University NJ, USA in 2011. He is advising several undergraduate/graduate students in different research and development projects focusing mainly on computer vision and machine learning tasks.
Dr. Marwan Torki research wide interests are Computer Vision and Machine learning. His focus research includes Understanding, Feature Matching, Activity Recognition, Manifold Learning, Object Recognition, Detection and Arabic NLP.  He is currently a member of IEEE, he reviewed many papers in very prestigious Computer Vision related conferences like CVPR and ECCV. He is also a reviewer for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV), SPIE and MDPI Sensors Journal. He has one Book Chapter and publications in CVPR, ICCV, IJCAI, and ICPR conferences.

scholar, scopus, dblp, rg,


Fall 2018
Artificial intelligence (CSE Dept.)
Computer Vision (Compu and Communication Program)
Discrete Math. (Compu and Communication Program)
Image Processing (Graduate course CSE Dept.)


  • Paper accepted at SIGSPATIAL 18
  • Paper accepted at ACLing 18
  • Paper accepted at ACL18
  • Paper accepted at IEEE-ISCC 18 [code and data]