DOHA: Boeing and Qatar Computing Research Institute (QCRI), a member of Qatar Foundation for Education, Science and Community Development (QF), have announced the speaker line-up for the two-day Second Annual Machine Learning And Data Analytics Symposium which opens tomorrow at Qatar National Convention Centre.
It is open to students, researchers and industry experts, and will feature top global experts discussing applications, recent advances, and new solutions in the fields of machine learning and data analytics. It demonstrates QCRI’s endeavours to support QF in its mission to build the country’s innovation and technology capacity in line with Qatar National Vision 2030.
The first day will focus on applying machine learning to healthcare and medicine. There will be talks, panels and discussions on health records and genomic data, led by David Page and Mark Craven from University of Wisconsin. Jenna Wiens, from University of Michigan and a Forbes ‘30 Under 30’ honouree, will lead an overview of how to use spatiotemporal patient data to improve patient outcomes.
Rich Caruana from Microsoft Research will present his work on intelligible models for healthcare.
The second day will focus on machine learning for graph data, security and surveillance. Christos Faloutsos from Carnegie Mellon University will discuss how large graphs can be mined for fraud detection. Polo Chau from Georgia Institute of Technology will lead a discussion of how graph mining and visualisation can help untangle complicated data trails left by cyber criminals to cover their tracks.
Other speakers on the second day on security and social media include Mubarak Shah from University of Central Florida; Noshir Contractor from Northwestern University; Gary Delany from Commonwealth Scientific and Industrial Research Organisation; and Jaideep Srivastava and Divy Agrawal from QCRI.
Supplementing the symposium will be a hands-on machine learning workshop for students on Thursday at Carnegie Mellon University in Qatar. It aims to introduce the theory and basic concepts of machine learning, and its application to practical data mining tasks. Registration information for the workshop can be found at www.mldas.org
“Data mining and machine learning are revolutionising the use of data analytics in all facets of human endeavour, from recognising and decoding images, to learning customer preferences, identifying and predicting disease causing genes, understanding social networks and more,” said Dr Mohammed J Zaki, Principal Scientist, QCRI, and Co-chair of the symposium. “The overwhelming response to the symposium, with submissions from 21 countries and over 250 registrations from constituents in Qatar, the Middle East and from all over the world, attests to the potential of data analytics in solving real-world problems in various fields.”
Dr Dragos Margineantu from Boeing Research & Technology (BR&T) and Co-chair of the symposium said: “By focusing on areas of high interest for the machine learning and data analytics communities, our speakers and participants will be able to present and exchange ideas that will drive research on these topics.”
The agenda and details about the symposium can be found at www.mldas.org The Peninsula
