- Our PLOS One paper has received media coverage in: Nature, Science, Nature, ACM Tech News, Penn State News, Harvard’s Journalist’s Resource, Nature Blogs, Inside Higher Ed, Phys.org, Knowledge Wire (In Japanese), Naseej Blog (In Arabic)
- I am co-organizing the International Workshop on Challenges & Issues on Scholarly Big Data Discovery and Collaboration
- The Number of Scholarly Documents on the Public Web was featured in Science , Nature, ACM News, and PSU.
I am part of the Knowledge and Technologies group at Microsoft Research, Redmond. My research interests are in the broad area of information retrieval and extraction, data mining, and big data. I received my PhD in Computer Science and Engineering from The Pennsylvania State University in 2015 where I was advised by C. Lee Giles, and worked on multiple projects such as CiteSeerX and ChemXSeer.
Learning to identify relevant studies for systematic reviews using random forest and external informationMadian Khabsa, Ahmed Elmagarmid, Ihab Ilyas, Hossam Hammady, Mourad Ouzzani, in Machine Learning, March 1, 2016,
AckSeer: A Repository and Search Engine for Automatically Extracted Acknowledgments from Digital LibrariesMadian Khabsa, Pucktada Treeratpituck, in ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2012, ACM, June 10, 2012,
Towards Building and Analyzing a Social Network of Acknowledgments in Scientific and Academic DocumentsMadian Khabsa, Sharon Koppman, C. Lee Giles, in Social Computing, Behavioral-Cultural Modeling and Prediction, April 3, 2012,
SeerSuite: Developing a Scalable and Reliable Application Framework for Building Digital Libraries by Crawling the WebPradeep B. Teregowda, Madian Khabsa, Isaac G. Councill, C. Lee Giles, Juan Pablo Fernández R, in USENIX Conference on Web Application Development, June 23, 2010,