Speaker name: Nikolaos Aletras Abstract: Automatically inferring user demographics in social networks is useful for both social science research and a range of downstream applications in marketing and politics. Our... Read more »

Speaker name: Nikolaos Aletras Automatically inferring user demographics in social networks is useful for both social science research and a range of downstream applications in marketing and politics. Our main... Read more »

Abstract The following main challenges at the interface of automation technology, process technology and information technology will be discussed: Models within the life-cycle Vertical integration from ERP (Enterprise Resource Planning)... Read more »

The aim of this lecture is to provide an industrial perspective on Model Predictive Control with emphasis on: Important practical requirements Practice-proven solutions and approaches Understanding the required efforts in... Read more »

Speaker: Dr. Tim Harris, Oracle Labs Cambridge Seminar Title: HiPEDS Seminar - Big graphs on big machines Abstract: Oracle's largest SPARC M7 system provides 4096 hardware threads spread over 16 sockets in one cache-coherent... Read more »

Upcoming lecture by Raja Appuswamy, Postdoctoral Researcger in the DIAS lab at EPFL, on data management systems Abstract The design of data management systems has always been driven based on... Read more »

HiPEDS CDT Seminar Series with Giorgio Orsi, Senior Research Scientist at Meltwater. Abstract: Data acquisition plays an important role in modern organisations and is a strategic business process for data-driven... Read more »

Abstract: In 1987, Jim Gray and Gianfranco Putzolu introduced the five-minute rule for trading memory to reduce disk I/O using the then-current price-performance characteristics of DRAM and Hard Disk Drives... Read more »

Abstract: Formal verification of software has finally started to become viable: we have examples of formally verified microkernels, realistic compilers, hypervisors etc. These are huge achievements and we can expect... Read more »

Abstract: Large technology companies rely on collecting data from their users to understand their interests, and better customize the company's products. Increasingly, this must be done while preserving individual users' privacy. ... Read more »