TWENTE SCIENCE CHALLENGE LAB JACO VAN DE POL, COMPUTER SCIENCE

 Partner in various COMMIT projects  Co-applicant in NWO Zwaartekracht on Big Software (3TU.CeDICT)  Co-applicant in DAS5 initiative – as a user  Currently building 2 nd generation Science Challenge Lab  Hadoop cluster (512 core, 2TB ram, 0.5PB disk, infiniband)  Compute server (64 core, 0.5TB ram)  Co-processors (Xeon-Phi, GPU)  Secure disk storage server 29 Oct 2013Jaco van de Pol, Twente Science Challenge Lab TWENTE SCIENCE CHALLENGE LAB U TWENTE

 Big data for humanities (Evers, de Jong, Theune, Apers, Hiemstra, v Keulen)  Multi-media and text-based data retrieval (twitter, social graphs, …)  Story recognition, virtual storytelling  (un)structured data with (un)certainty  Big network analytics for safety and security (Pras, Haverkort, Boucherie)  Analysis of huge trace logs for anomalies  Flow-based methods, machine learning techniques  Modeling & analysis for natural sciences (vdPol, Schivo, Broersma, Litvak)  Based on design methods for man-made dependable systems  Discrete math modeling and high-performance graph algorithms 29 Oct 2013Jaco van de Pol, Twente Science Challenge Lab FOCUS AREAS ORTHOGONAL TO RESEARCH GROUPS

 Flamingo (FP7 NoE): flow-based monitoring of networks and services  ANIMO (Mira): interactive modeling & experiments for executable biology  Nascence (FP7): Programmable Nanosystems  TimeTrails (COMMIT): combine geographic & time-series data  VOCHS (NWO): model & verify CERN’s control software  Infiniti (COMMIT): Information Retrieval from the Deep Web  FACT (NWO, Meertens): Classification & Clustering of Folk Tales  AXES (FP7 IP): Access to Audiovisual Archives (beeld & geluid, BBC) Many, many more, on:  Human behaviour generation (virtual robotics)  High-performance analysis and tools (model checking)  Underwater and wireless sensors for monitoring the environment 29 Oct 2013Jaco van de Pol, Twente Science Challenge Lab RUNNING PROJECTS JUST A SAMPLE