PhD Student
Wenda is a PhD student in the Department of Computer Science at Boston University. He gained his Bachelor of Engineering degree in South China University of Technology in 2016 and he got his master degree in 2018 in Boston University. His main research interest is computer vision. Machine learning is also one of her interest areas since it has great influence on computer vision nowadays and it is powerful and helpful in solving computer vision problems. His major of undergraduate is software engineering and he has interneship experience in a software company, so he is also a student familiar with IT project management and practical software development.
He works with Professor Margrit Betke in Boston University and Dr. Randa Elanwar in Electronics Research Institute, Egpyt and held a layout analysis competition of the BCE-Arabic benchmarking dataset on the 2nd IEEE International Workshop on Arabic and derived Script Analysis and Recognition (ASAR 2018). in 2018.
In addition to computer science, he is a big fan of history and culture in Asia and the western world. He has completed a history class of Medieval England in Boston University and wrote a research report about the diet of people in Medieval England.
Publications
Qin, Wenda, Randa Elanwar, and Margrit Betke. “LABA: Logical Layout Analysis of Book Page Images in Arabic Using Multiple Support Vector Machines.” 2018 IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition (ASAR). IEEE, 2018.
Elanwar, Randa, Wenda Qin, and Margrit Betke. “Making scanned Arabic documents machine accessible using an ensemble of SVM classifiers.” International Journal on Document Analysis and Recognition (IJDAR) 21.1-2 (2018): 59-75.