Google’s mission presents many exciting algorithmic and optimization challenges across different product areas including Search, Ads, Social, and Google Infrastructure. These include optimizing internal systems such as scheduling the machines that power the numerous computations done each day, as well as optimizations that affect core products and users, from online allocation of ads to page-views to automatic management of ad campaigns, and from clustering large-scale graphs to finding best paths in transportation networks. Other than employing new algorithmic ideas to impact millions of users, Google researchers contribute to the state-of-the-art research in these areas by publishing in top conferences and journals.
Recent publications
Personalisation in digital ecomuseums: the case of Pros-Eleusis
MDPI , Applied Sciences (2023) (to appear)
Indexibility is not Enough for Whittle: Improved Near-Optimal Algorithms for Restless Bandits
Autonomous Agents and Multi Agent Systems (AAMAS) (2023)
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