TWENTE SCIENCE CHALLENGE LABJACO 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 2nd 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 LABCTIT @ 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 PROJECTSJUST A SAMPLE