| Mourad Ouzzani |
| Tue 18 Sep 2018, 14:00 - 15:00 |
| IF 4.31/4.33 |
If you have a question about this talk, please contact: Heng Guo (hguo)
Abstract:
Enterprise data is usually scattered across departments and geographic
regions, and it is often inconsistent. Data scientists spend most of
their time finding, preparing, integrating, and cleaning relevant
datasets. I will describe our efforts in easing the pain of data
scientists through Data Civilizer, an end-to-end data preparation
system. Key components of Data Civilizer include data discovery, data
cleaning, data transformation, and entity resolution and
consolidation. If time permits, I will also talk about Rayyan, a
project at QCRI to help scientists sift through and filter scientific
literature, especially in the context of systematic reviews. Rayyan
serves more than 14.5k users worldwide.
Bio:
Mourad Ouzzani is a Principal Scientist with the Qatar Computing
Research Institute at Hamad Bin Khalifa University, Qatar Foundation.
Before joining QCRI, Mourad was a Research Associate Professor at
Purdue University. Since joining in 2011, Mourad has played a key role
in establishing the Data Analytics group within QCRI. Mourad's
research interests lie in the fields of data management and analytics
with a focus on data integration and data cleaning. He is the project
lead of Rayyan, the systematic reviews web and mobile app, that now
serves more than 14.5k users worldwide. His work has led to numerous
publications in top tier venues including PVLDB, TKDE, SIGMOD, and
ICDE. Mourad has been PI or CoPI in more than 15 grant proposals
funded by NSF, NIH, DHS, as well as other funding agencies. Mourad
Ouzzani received two Seeds of Success Awards from Purdue University.
Mourad Ouzzani hold a PhD from Virginia Tech, and a BSc and MSc from
USTHB, Algiers, all in Computer Science.