HPC-enabled Modelling for Socio-Economical and Physical Sciences

Chair: Dr. Elisabeth Larsson, Sweden

Vice-Chairs: Prof. Otthein Herzog, Germany and  Prof. Esko Turunen, Finland

Many types of decisions in society are supported by modelling and simulation. Some examples are political decisions based on predictive simulations of future climate changes, evacuation planning based on faster-than-real-time simulation of tsunamis, and financial market decisions based on mathematical models emulating current market conditions. In all of these situations, large amounts of data such as global geographical information, measurements of the current physical or financRial state, and historical data are used both in the model building and model calibration processes. However, also in the predictive phase, there are many applications that not only benefit from, but require HPC due to the complexity of the models, the computational volume, and the amount of data that is being generated in the simulations. Some particularly challenging problem features are high-dimensionality (e.g. in finance or quantum physics) where the computational costs grow exponentially with the dimension, multi-scale physics (e.g. in climate and tsunami simulations) where scales that differ in orders of magnitude need to be resolved to capture the relevant physical processes, and computations under uncertainty, where the COST 103/14 25 EN impact of uncertain measurements, parameters and models is quantified through multiple evaluations or extended models leading to an increased computational cost (e.g. in safety critical decision problems). Especially in physics, HPC has been successfully employed for a long time. However, existing codes and algorithms are not optimized for modern computer architectures and cannot efficiently exploit massively parallel systems. Furthermore, the increase in available computer power allows for expansion of the horizon of what one can simulate, but the complexity of the systems hampers productivity and progress. In socio-economical sciences the vast amounts of data expected from the fast growth of the internet of things will provide new challenges for the extraction of knowledge. HPC in a distributed model is going to play a major role in such activities and this Action tackles that approach.


WG4 Chairs


Elisabeth Larsson Dr. Elisabeth Larsson got her PhD in Numerical Analysis from Uppsala University, Sweden in2000. The topic of the  thesis was preconditioned iterative methods for wave propagation problems. After the PhD she was a postdoctoral fellow at University of Colorado, Boulder, USA. Currently she is an Associate professor at Uppsala University. Her main research topics are radial basis function approximation methods for the solution of partial differential equations and high-performance scientific computing with a special focus on programming models promoting productivity and performance. In 2007 she received the Göran Gustafsson award for young researchers for a project on global climate simulation using radial basis functions. She is one of the research leaders in the Linnaeus center of excellence UPMARC (Uppsala Programming for Multicore Architectures). Since 2010, she is the Director of the Centre for Interdisciplinary Mathematics at Uppsala University.

E-mail: elisabeth.larsson@it.uu.se


OttheinHerzogProf. Otthein Herzog received his MSc (Diploma) in Mathematics from the University of Bonn, Germany in 1972, and his PhD in Computer Science from the University of Dortmund, Germany, in 1976. From 1977 to 1993, he worked for IBM Germany in various technical and managerial positions in software development where he was responsible for the development of software products and for the development of advanced knowledge-based systems while he directed the IBM Institute for Knowledge-based Systems in the IBM Scientific Center. From 1993-2009 he held the position of the chaired professor of Artificial Intelligence at the University of Bremen, Germany, where he was the founder and director of the research and technology transfer institute TZI – Center for Information and Communication Technologies from 1995 to 2009 with more than 160 fulltime researchers. He was the Co-PI and director (together with Prof.. Scholz-Reiter) of the DFG-funded Collaborative Research Center (SFB) 637 on “Autonomous Cooperating Logistic Processes” from 2004-2014, and among many others, he directed the EU Integrated Project “Wearable Computing” from 2004-2009 with 42 partners. He continues to work as a research professor at the University of Bremen. Since 2010 he also holds the Wisdom Professorship of Visual Information Technologies at Jacobs University Bremen. In 1998, he became affiliate professor in the Machine Learning and Inference Laboratory of George Mason University, Fairfax, VA, USA, and since 2015, he holds a honorary professorship at CIUC, Tongji University, Shanghai, as National Senior International Expert. His current research interests include Knowledge Management and coordination through Multi-Agent Systems for Industry 4.0 and Logistics 4.0, ICT for Smart Cities, Wearable Computing for work processes and health as well as AAL applications, and the semantic analysis of images and videos. In these research fields he has (co-)authored more than 260 refereed scientific publications. Since 2006, Dr. Herzog is Fellow of acatech – German National Academy of Science and Engineering, Fellow of GI – German National Computer Society since 2008, and member of the ACM and DAGM. He also serves on various boards of German research institutions.

E-mail: herzog@tzi.de

Esko Turunen Prof. Esko Turunen received PhD in applied mathematics in 1994 at Lappeenranta University of Technology, Finland; the title of his dissertation was `A Mathematical Study of Fuzzy Logic: an Algebraic Approach´. His research field is applied logic(s) including multi-value logics, para consistent logics, and logic-based data mining data modeling, in particular big data. Turunen has published more than 60 scientific articles and two textbooks published by Springer. Moreover, he has conducted several applied research projects related to traffic engineering, traffic simulation, medical data modeling and modeling of watercourses. Currently, Turunen is the head of the Department of Mathematics at Tampere University of Technology, Finland.

E-mail: esko.turunen@tut.fi



WG4 Members

Ales ZamudaUniversity of Maribor, ales.zamuda@um.siSloveniaOptimization algorithms, differential evolution. MPI
Amr Rashad Ahmed Abdullatifamr.abdullatif@dibris.unige.itItalyTraffic Forecasting, Big Data, Clustering Non stationary data streams, Fuzzy clustering
Ana RespícioUniversidade de Lisboa,, alrespicio@ciencias.ulisboa.ptPortugalModeling, Optimization, Decision Support, Risk Analysis
Andrea BraccialiMUniversity of Stirling, abb@cs.stir.ac.ukUKformal methods to the modelling and verification of interactive systems
Anita PapićSapapic@ffos.hrCroatiaintelligent systems, modelling and simulations, algorithms, mathematics
Blagoj DelipetrevMUniversity Goce Delcev, associate professor, blagoj.delipetrev@ugd.edu.mkMacedoniaMachine learning, optimization, algorithms
Carla Amor Divino Moreira DelgadoUniversidade Federal do Rio de Janeiro, carla.delgado@gmail.comBrazilKnowledge representation, recommender systems, atificial intelligence, decision making
Carmen Ruiz-Puenteruizpm@unican.esSpainmodelling of circular industrial systems, complex systems and techniques
Edouard IvanjkoMDepartment of Intelligent Transportation Systems Faculty of Transport and Traffic Sciences University of Zagreb,, edouard.ivanjko@fpz.hrCroatiaIntelligent Transportation Systems, Road traffic control, Traffic simulation, Machine learning
Elisabeth LarssonMelisabeth.larsson@it.uu.seSwedenComputational physics, computational finance
Esko TurunenMTampere University of Technology, esko.turunen@tut.fiFinlandData Mining, data modelling by logic means,
Francesca VipianaMPolitecnico di Torino, Torino, Italy, francesca.vipiana@polito.itItalyComputational electromagnetics (CEM), electromagnetic modelling, parallel programming, GPU
Francesco MasulliUniversity of Genoa, Italy email: Francesco.masulli@unige.itItalyMachine Learning, Computational Intelligence, Stream Data Analysis, Short Term Traffic Forecasting
Grażyna SuchackaSOpole University, gsuchacka@math.uni.opole.plPolandWeb traffic analysis and modeling, e-commerce service modeling and simulation, big data analytics, Web usage mining
Horacio Pérez-SánchezSUniversidad Católica de Murcia (UCAM)SpainComputational Chemistry, High Performance Computing, Structural Bioinformatics, Drug Discovery
Jing GongSgongjing@kth.seSwedenHigh Performance Computing, GPU
Joana DiasSUniversity of Coimbra, joana@fe.uc.ptPortugalManagement Science, Data Mining, Machine Learning, Optimization
José M. MolinaMUniversidad Carlos III de Madrid, molina@ia.uc3m.esSpainData Fusion, Multiagent Systems, Big Data, Ambient Intelligence
Juan Carlos Burguillo-RialMJ.C.Burguillo@uvigo.esSpainMultiagent Systems, Complex Systems, Simulation, Economics
Karol MikulaMSlovak University of Technology in Bratislava, karol.mikula@gmail.comSlovakianumerical methods, partial differential equations, parallel computing
Katarzyna Wegrzyn-WolskaMGroupe Efrei - Esigetel, katarzyna.wegrzyn@groupe-efrei.frFranceWebMining, Social Network, Opinion Mining, Recommender System
Lalit GargMUniversity of Malta, lalit.garg@um.edu.mtMaltaModeling and Simulation, Operational research, Missing data handling, Data mining
Mariam KiranUniversity of Bradford, mariam.kiran@gmail.comUKparallel computation, agent-based modelling, Improving QoS and performance, cloud computing
Otthein HerzogMUniversität Bremen, herzog@tzi.deGermanyTransportation logistics, Multiagent Systems, Simulation, Optimization
Robert CunderlikMFaculty of Civil Engineering, Slovak University of Technology,, cunderli@svf.stuba.skSlovakiahigh-performance computing in geodesy, numerical modelling
Rostislav RazumchikInstitute of Informatics Problems of the Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, rrazumchik@gmail.comRussiaSocio-Economical modeling, predictive simulation, mathematical models, queueing theory
Siegfried BenknerMsiegfried.benkner@univie.ac.atAustrialarge-scale data infrastructures, data integration, high-performance computing
Stefan Engblomstefane@it.uu.seSwedenNumerical modeling, Scientific computing, Software
Stefano Rovettastefano.rovetta@unige.itItalyMachine Learning, Computational Intelligence, Stream Data Analysis, Short Term Traffic Forecasting
Tonči CarićMDepartment of Intelligent Transportation Systems Faculty of Transport and Traffic Sciences University of Zagreb,, tonci.caric@fpz.hrCroatiaCombinatorial optimization, Machine learning, Intelligent Transportation Systems, Big Data

M - MC Member   S - MC Substitute   VC - Vice-Chair   C - Chair