Workshop
The availability of huge amounts of data is often considered as the fourth industrial revolution we are living right now. The increase in data accumulation allows us to tackle a wide range of social, economic, industrial and scientific challenges. But extracting meaningful knowledge from the available data is not a trivial task and represents a severe challenge for data analysts. Mathematics plays an important role in the existing algorithms for data processing through techniques of statistical learning, signal analysis, distributed optimization, compress sensing etc. The amounts of data that are available and that are going to be available in near future call for significant efforts in mathematics. These efforts are needed to make the data useful. The main challenges we plan to consider within this SIG are, roughly speaking, in the area of mathematical optimization and statistics.
The Special Interest Group Mathematics for Big Data, organized under ECMI umbrella, aims to bring together major stakeholders in this exciting area.
The principal objectives of the workshop are
The workshop will have the usual format of ECMI Special Group workshops. Several distinguished experts will deliver plenary lectures on the state-of-the art topics, followed by a limited number of contributed lectures. Posters sections are also possible. A panel discussion with the representatives of industry will also be organized. A collection of survey papers will be published in Springer book edition "Mathematics in Industry".
The plenary speakers confirmed so far:
Application to the workshop can be made by filling out the following form. There is no registration fee for the workshop but the registration is obligatory. If you wish to present a contributed lecture or a poster please send the title and a short abstract together with the registration. Due to the limited number of contributed lectures, the organizers might transfer a contributed presentation to a poster presentation. The workshop is organized by Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad and University of Milano, with support form ECMI, Ministry of Education, Science and Technological Development of Serbia and Secretary for High Education and Science of Vojvodina.
Registration: April 23, 2017
Acceptance of abstracts and posters: May 1, 2017
Workshop: May 31- June 1, 2017
ECMI SIG Workshop on Mathematics for Big Data Program
(Printable PDF)
Wednesday, May 31 2017 |
|
8:30-9:00 |
Registration |
9:00-9:15 |
Opening |
9:15-11:15 |
Optimization, learning, and statistics for Big Data, Part I |
9:15-10:00 |
Plenary lecture Joao Xavier, Distributed learning algorithms for Big Data |
10:00-10:25 |
Alessandra Micheletti, A clustering algorithm for multivariate big data with correlated components |
10:25-10:50 |
Stefania Bellavia, A Levenberg-Marquardt method for large-scale noisy nonlinear least squares problems |
10:50-11:15 |
Milan Merkle, Calculation of high-dimensional Tukey median |
11:15-11:45 |
Coffee break |
11:45-13:20 |
Optimization, learning, and statistics for Big Data, Part II |
11:45-12:10 |
Dragana Bajovic, Hypothesis testing for stochastic graph processes |
12:10-12:35 |
Dusan Jakovetic, Distributed optimization methods with randomized agents’ activities |
12:35-13:20 |
Plenary lecture Hanno Gottschalk, Student projects on statistical learning with companies of all sizes |
13:20-14:20 |
Lunch break |
14:20-15:30 |
Big Data for communication engineering |
14:20-15:05 |
Plenary lecture Branka Vucetic, Next-generation Telecommunication Networks: Carriers and Users of Big Data |
15:05-15:30 |
Dejan Vukobratovic, David Murray, H2020 SENSIBLE project: Big Data Analytics for Intelligent Buildings |
15:30-16:00 |
Coffee break |
16:00-17:40 |
Biosense Institute: Data analytics in biosystems and agri-food |
16:00-16:25 |
Sanja Brdar, Exploring Microbial World with Clustering Algorithms - Challenges and Perspectives |
16:25-16:50 |
Predrag Lugonja, Satellite Image Processing for Sustainable Agriculture |
16:50-17:15 |
Oskar Marko, Yield Prediction and Seed Selection using Data Analytics |
17:15-17:40 |
Marko Panic, Hyperspectral Imaging for Fruits and Vegetables Quality Assessment |
20:00 |
Conference dinner |
Thursday, June 1 2017 |
|
9:15-10:45 |
Data analytics for text and image processing |
9:15-10:00 |
Plenary lecture Stefano Iacus, Sentiment Analysis over Big Data |
10:00-10:45 |
Plenary lecture Aleksandra Pizurica, Sparse Coding and Multimodal Dictionary Learning in Computer Vision |
10:45-11:05 |
Poster session (plus Coffee offered) Data analytics projects examples of University of Novi Sad’s Data Science master students |
11:05-13:10 |
Big Data applications in industry |
11:05-12:10 |
Industrial case studies |
11:05-11:30 |
Lara Quijano Sanchez, The BIG CHASE: A decision support sytem for client acquisition applied to financial networks |
11:30-11:50 |
Content Insights, Ognjen Zelenbabic: Editorial analytics and big data |
11:50-12:10 |
3Lateral, Uros Sikimic: Data Science Applied for Studing the Human Face |
12:10-13:10 |
Panel discussion with industry Problems and challenges behind deriving value from enterprise Big Data |
13:10-14:10 |
Lunch break |
14:10-15:40 |
Conclusions, discussions, and further activities of the ECMI Special Interest Group (SIG) Mathematics for Big Data |
Hanno Gottschalk, University of Wuppertal
Stefano Iacus, University of Milano
Aleksandra Pizurica, University of Ghent
Branka Vucetic, University of Sydney
Joao Xavier, Instituto Superior Tecnico, Lisbon
Registration is now closed.
Giacomo Aletti, University of Milan
Antun Balaz, Institute of Physics, Belgrade
Luis Bonilla, University Carlos III, Madrid
Vladimir Crnojevic, Biosense Institute, University of Novi Sad
Natasa Krejic, University of Novi Sad
Jan ter Marten, University of Wuppertal
Alessandra Micheletti, University of Milan
Wil Schilders, Technical University of Eindhoven
Srdjan Skrbic, University of Novi Sad
Dejan Vukobratovic, University of Novi Sad
Dusan Jakovetic, University of Novi Sad
Natasa Krejic, University of Novi Sad
Natasa Krklec Jerinkic, University of Novi Sad
Alessandra Micheletti, University of Milan
Sanja Rapajic, University of Novi Sad
Tijana Stojancevic, University of Novi Sad
Katarina Vla Panic, University of Novi Sad
Useful information about Novi Sad, some accommodation options and travel instructions are available at The tourist organization of the city of Novi Sad.
Faculty of Sciences
Department of Mathematics and Informatics
Trg Dositeja Obradovica 4
21000 Novi Sad
Serbia
mathbd@dmi.uns.ac.rs
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