Nufar Gaspar joined Intel in 2012 after completing her Masters in Industrial Engineering in Ben Guryon University, with focus on optimization, statistics, and scheduling problems. Publications from her Thesis can be found at https://dblp.uni-trier.de/pers/hd/g/Gasper:Nufar. During 2012-2015, Nufar played different roles in the creation of Machine Learning solutions for Intel’s Design organizations. Since 2015, Nufar leads the Design Advanced Analytics team, which includes Data Scientists, Big Data SW Developers, Products Analysts, and Product Managers. Nufar and her team creates AI and Big Data tools to help revolutionizing how Intel designs and verifies its product. These capabilities include CLIFF (AI based test creation to uncover hidden bugs), ITEM (Intelligent Test Execution Mgmt. to optimize the test suit being used for validation), Gatekeeper Smart Filter (predict if a code submitted to GIT is likely to be buggy) and many others. These days Nufar and her team run multiple R&D effort utilizing state-of-the-art AI and optimization techniques as well as scaling the existing capabilities across the various design organizations at Intel. Examples include: Adaptive Testing: online testing manager agent that tunes its decisions in light of status vs. user-defined goals, and Aided debug: a collection of debug utilities that interact with human expert to speed up root cause analysis.
IT Collaboration Leads to Unique Product Innovation
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Intel IT is taking the concept of “IT shop” to a new level through our collaboration with Intel’s business units....
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Intel Embraces the AI Spring
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As described in the Intel IT Annual Performance Report, “Driving the Digital Enterprise Transformation,” it’s an exciting time to be...
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