Topic 1: Advances in Algorithms
The objective of this session is to present in detail efficient algorithms recently developed for machine learning. Topics of interest include:
Topological Data Analysis
Optimization in Machine Learning
Functional Data Analysis
Image analysis and feature detection
Topic 2: Frameworks and Platforms
In this session, we bring together platform and software developers to discuss modern architectures for data gathering and analysis. Special focus will be given to:
Software for Data Analytics
Big data frameworks
Topic 3: Solving Engineering Problems with Data
The objective of this session is to offer the opportunity for successful industrials and scientists to showcase practical applications of data science algorithms and frameworks to experimental or simulated data in their field. Priority will be given to applications related to the energy sector, such as:
Oil and Gas (exploration and production)
Chemical Experiment (refining process, catalysis and pharmaceutical process design)
Sustainable Transport (hybrid and electric engines / software for efficient transportation)
New Energies (biofuels / wind, solar and marine energies / storage)
Authors are invited to submit before 30 November 2017.
1 page in English either in word or PDF format.
Please use this abstract template (MS Word – 30 Ko) on which you will choose the type of contribution you would prefer (ie Oral presentation - Poster).
=> Submit your papers by email to email@example.com
Notification of acceptation
Acceptance of submitted abstracts will be notified to authors at the latest in December 2017.
Abstracts from the oral and poster presentations will be published in the conference proceedings. Abstracts will also be available after the event, in pdf format, on the conference website.
The best papers will be considered for publication in OGST Journal, a bi-monthly journal indexed in the major international bibliographical databases. During the last 3 years OGST Impact factor has been greater than 1.1.