Tamer Elsayed
Dr. Tamer Elsayed is an associate professor at Computer Science and Engineering Department at Qatar University. He received his B.Sc. and M.Sc. degrees in Computer Science from Alexandria University in Egypt, and Ph.D. degree in Computer Science from the University of Maryland, College Park (UMD) in the United States in 2009. His main research interest is in information retrieval with an emphasis on web search and large-scale text analysis. He had a summer internship at Google, Mountain View, CA, United States, in 2007 where he worked as a software engineer intern on a project that suggests auto-replies to customers’ email inquiries. He spent one year as a post-doctoral researcher at the Cloud Computing Center at UMD, where he participated in the design, development, and evaluation of an open-source retrieval engine called Ivory. In summer 2010, he joined the Advanced Systems Lab at King Abdullah University of Science and Technology (KAUST) as a post-doctoral fellow in the Division of Mathematics and Computer Science, where he worked on two research projects: asynchronous iterations support for MapReduce, and real-time search in Twitter. He joined Microsoft Advanced Technology Lab at Cairo in summer 2011 as a researcher before joining Qatar University in Fall 2012 as an assistant professor.
Dr. Tamer published more than 100 publications in top-tier journals and conferences. He received three best paper awards at AIRS 2015 conference, HCOMP 2016 conference, and WANLP 2021 workshop, and his research team at QU was ranked first at TREC 2016 Real-time Summarization Track and second at TREC News Track 2019 international research competitions. He co-organized several workshops and evaluation labs in international conferences, and he is the co-chair of ACM Africa Summer School on Machine Learning for Data Mining and Search (AFIRM). He was awarded four NPRP research grants from Qatar National Research Fund.
He leads an active research group (bigIR) that conducts research at the intersection of Information Retrieval, Big Data, Natural Language Processing, and applied Machine Learning, with emphasis on Arabic language and social media analytics. You can find more information about him at his website.
With his previous experience at UMD, Google, KAUST, and Microsoft, he strives to help students acquire the best skills needed in their professional career and to build a strong research team that helps support the research capacity in Qatar and the region (إن شاء الله). He believes in the abilities of the students to achieve high quality work if they are well trained and well motivated.
To know more about Dr. Tamer and his work, you can visit his own website.
