1. INTERNATIONAL SYMPOSIUM ON RECONSTRUCTION AND EXTRAPOLATION OF N-DIMENSIONAL DATA
Chairman: Prof. Dariusz Jacek Jakobczak,
Department of Electronics and Computer Science,
Koszalin University of Technology, Sniadeckich 2, 75-453 Koszalin, Poland
AIM: Reconstruction and extrapolation of multi-dimensional data represents the subject that
arising in many branches of mathematics, economics and computer science. Such a
modeling connects pure mathematics with applied sciences. Numerical methods similarly are
situated on the border between pure mathematics and applied sciences. Our life and work
are impossible without planning, time-tabling, scheduling, decision making, optimization,
simulation, data analysis, risk analysis and process modeling.
1. Data interpolation with applications.
2. Data extrapolation - support in planning and decision making.
3. Reconstruction of information.
4. Data restoration.
5. Probabilistic interpolation and extrapolation.
6. Modeling of processes.
7. Data simulation.
8. Mathematical modeling.
2. INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DEEP LEARNING
Chairman: Prof. Tolga Ensari
Computer Engineering, Istanbul University
Istanbul, Turkey, firstname.lastname@example.org
AIM: Computational intelligence (CI) is one of the problem solving method by nature-inspired computational methodologies.
Deep Learning (DL) is most studied method in machine learning last 5 years which has a deep graph with multiple processing layers.
Discarding difficulties in mathematical approximations and uncertainties from engineering problems,CI and DL offer and construct some new approaches and techniques to solve hard problems.
This symposium will contribute new perspective on computer science research area.The purpose is gathering engineers, academicians, industrial professionals and their valuable studies on CI.
We believe that many new approaches and methods will contribute on theory and application of CI and DL. Research topics of interests include, but are not limited to:
1- Artificial Intelligence and Applications
2- Artificial Intelligence in Control and Robotics
3- Brain Models
4- Bayesian Methods
5- Computational Intelligence
6- Data Mining
7- Deep Learning
8- Evolutionary Computing
9- Expert Systems
10- Fuzzy Logic
11- Genetic Algorithms
12- Graph Based Algorithms and Applications
13- Knowledge Representation
14- Learning Theory
15- Machine Learning and Applications
16- Natural Language Processing
17- Neural Networks and Applications
18- Network Systems Applications
19- Optimization Applications
20- Pattern Recognition
21- Reinforcement Learning
22- Stability Theory
23- Statistical Learning
24- Telecommunication Applications
3. ENERGY-EFFICIENCY IN INTERNET PROTOCOL STACK
Chairman: Prof. Korhan Cengiz
Department of Electrical-Electronics Engineering
Trakya University, Edirne, Turkey, email@example.com
AIM: The reduction of energy consumption has become a key research area for the
information and communication technology (ICT) industry, due to economical,
environmental, and marketing reasons. While the environmental direction aims at
minimization of greenhouse gas emissions by enforcing the usage of renewable energy in the
ICT industry, economical and marketing directions lead researchers to design low-power
components or develop and enhance energy-saving protocols without an impact on the level
of the performance. With the steady increase in the cost of energy, the expanding number of
energy-hungry components and widespread usage of ICT industry, most of the protocols that
have become an integral part of our lives but are yet developed without any energy constraints
in mind in the past will need to be restructured or developed again. For this reason,
researchers are studying on all layers of the Internet protocol stack to develop energy-efficient
protocols and algorithms. This session aims to present recent approaches for energy efficiency
studies for each layer in the Internet protocol stack from the physical layer to the application
1- Energy-Efficiency in Physical Layer
2- Energy-Efficiency in Data Link Layer
3- Energy-Efficiency in Network Layer
4- Energy-Efficiency in Transport Layer
5- Energy-Efficiency in Session Layer
6- Energy-Efficiency in Presentation Layer
7- Energy-Efficiency in Application Layer
4.INTERNATIONAL SYMPOSIUM ON ALGEBRAIC METHODS AND THEIR APPLICATIONS
University of Limpopo, Limpopo Province, South Africa
Algebraic Methods have several applications. However some methods perform better for certain applications than other methods.
The symposia aim to showcase algebraic methods and where they are most efficiently applicable for practical usage.
-Computational Linear Algebra
5.INTERNATIONAL SYMPOSIUM ON MODELLING AND MODELS ANALYSIS
University of Limpopo, Limpopo Province, South Africa
Models are helpful in making predictions that are useful in making decisions. The bigger the data used when building models,
the more accurate the predictions the model can make. The aim of the symposia is to build models. Moreover, the nature and
the assumptions of the models need scrutiny before they are used to make prediction and used on making decisions. Researchers
are constantly building models but they often pay little attention to the nature, conditions, and the assumptions they make when building such models.
-Option Pricing and Asset Pricing Models
6.INTERNATIONAL SYMPOSIUM ON SCIENCE AND ENGINEERING EDUCATION
University of Limpopo, Limpopo Province, Suth Africa
With continuous advances in technology, teaching has adopted new methods. Most of these methods are technological. The symposia aim to investigate the advantages and disadvantages
of technological advancement in teaching and learning in contemporary times. What is being lost, if any, by using
technology instead of traditional teaching methods? What are the benefits of using technology to transfer knowledge?
Are there demerits of transferring knowledge using technological methods? The symposia aim to check the score card of
the advances in technology and their impact on science and engineering education.
-Thinking Industry and Knowledge Production