3rd International Conference on Applied Mathematics and Sciences (AMA 2018) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications impacts and challenges of Mathematics and Sciences. The conference documents practical and theoretical results which make a fundamental contribution for the development of Mathematics and Sciences. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

The goal of this Conference is to bring together researchers and practitioners from academia and industry to focus on Mathematics and Sciences advancements, and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of Mathematics.

Topics of interest include, but are not limited to, the following:

Abstract Algebra and Applications

Adaptive Control

Agriculture, Environment, Health Applications

Algorithms

Applications of Modelling in Science and Engineering

Artificial Neural Networks (ANN)

Computational Complexity

Computer Modelling

Control Theory

Differential Geometry

Digital Control

Discrete Mathematics

Embedded Systems

Evolutionary Algorithms

Fault Detection and Isolation

Feedback Control

Functional Analysis

Fuzzy logic and Applications

Fuzzy Set Theory

Genetic Algorithms

Genetic Algorithms and Evolutionary Computing

Graph Theory and Applications

Hybrid Systems

Industry, Military, Space Applications

Linear and Nonlinear Control Systems

Linear and Nonlinear Programming

Markov Chains and Applications

Mathematical Modelling

Model Predictive Control

Networked Control Systems

Neural Networks and Fuzzy logic

Neuro-Fuzzy Control

Numerical Analysis

Numerical Analysis and Scientific Computing

Operations Research

Optimal Control

Optimization and Optimal Control

Optimization Theory

Ordinary and Partial Differential Equations

Process Control and Instrumentation

Real and Complex Analysis

Real-time Issues

Robust Control

Scientific computing

Set Theory

Sliding Mode Control

Soft Computing and Control

Statistics

Stochastic Control and Filtering

Stochastic Modelling

System Identification and Control

Systems and Automation

Topology and Analysis