Get to Know Arundhati Kurup

Arundhati is an undergraduate student in Computer Science and Engineering at Sree Chitra Thirunal College of Engineering (SCTCE), which is under the Kerala Technological University where she’s been very involved in her university’s Student Branch Chapter and other IEEE activities. Arundhati has served as the Chair of the Student Branch Chapter, and the Vice-Chair for the school’s Women in Engineering Affinity Group. She has been a Content Team Member for the Computer Society India Council Student Activities Committee and the Mentor and Organizer for The Codelab Project. Arundhati has won the Computer Society of India Student Award (2017) for exemplary academic achievements and a scholarship from the Department of Computer Science and Engineering at SCTCE for high academic achievement. Continue…

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Volunteering—Family-style: Profile of Athira M and Anandhu S Kumar

The Computer Society has outstanding volunteers around the world, and INTERFACE seeks to profile their lives and the ways they are making a difference globally, in their countries or in their communities. This week we have spoken to Athira M and Anandhu S Kumar, siblings who study electrical engineering in the Indian state of Kerala, and work to expand the reach of IEEE and the IEEE Computer Society. Continue…

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Get to Know Geoff Webb

Professor Geoff Webb is the Director of the Monash University Centre for Data Science. He was editor-in-chief of the premier data mining journal, Data Mining and Knowledge Discovery from 2005 to 2014. He has been Program Committee Chair of the two top data mining conferences, ACM SIGKDD and IEEE ICDM, as well as General Chair of ICDM. He is a Technical Advisor to BigML Inc, who have incorporating his best of class association discovery software, Magnum Opus, as a core component of their cloud based Machine Learning service. He developed many of the key mechanisms of support-confidence association discovery in the late 1980s. His OPUS search algorithm remains the state-of-the-art in rule search. He pioneered multiple research areas as diverse as black-box user modelling, interactive data analytics and statistically-sound pattern discovery. He has developed many best-of-class machine learning algorithms that are widely deployed. Professor Webb recently won the 2017 Eureka Prize for Excellence in Data Science in recognition of his research project investigating unification of discriminative and generative approaches to machine learning. Click here to see an announcement on the award and find a short video on his work. Continue…

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