Mathematics for Big Data

About

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

to gather experts from academia working on Big Data issues
to promote scientific cooperation on up-to-date open challenges in the area
to promote cooperation between academia and industry in the area
to promote joint applications to EU funded programs

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:

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

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.

Program

ECMI SIG Workshop on Mathematics for Big Data Program
(Printable PDF)

Wednesday, May 31 2017 University of Novi Sad Faculty of Sciences, Department of Biology, Amphitheater Trg Dositeja Obradovica 2, Novi Sad, Serbia
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 University of Novi Sad Faculty of Sciences, Department of Biology, Amphitheater Trg Dositeja Obradovica 2, Novi Sad, Serbia
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

Mathematics for Big Data
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