Topics

Topics

The KISES 2024 will focus on the following topics (include but not limited to):


Mathematical Modeling in Science and Engineering
  • Scientific Computing and Algorithms
  • Applied and Industrial Mathematics
  • Inverse and Ill-posed Problems of Mathematical Physics
  • Applied Algebra
  • Special Functions
  • Computational Matrix Theory
  • Analytic Number Theory
  • Analytic Combinatorics
  • Operator Algebras and Functional Analysis
  • Differential Equations and Their applications
  • Difference Equations
  • Stability Analysis
  • Numerical Analysis and Computational Mathematics
  • Dynamical Systems
  • Geometry and Its Applications
  • Mathematical Physics
  • Fractural Calculus and Its Applications
Computational and Simulation Methods for Real-World Problems
  • Signal Processing
  • Digital Filter Design and Implementation
  • Array Processing
  • Audio, Speech and Language Processing
  • Image Processing
  • Video Processing
  • Medical Signal Processing and Medical Imaging
  • Modelling and Simulation
  • Computational Neuroscience
  • Optimal Control Problems
  • Probability and Statistics
  • Soft Computing
  • System Dynamics
  • Automation Systems
  • Big Data
  • Chaos Theory, Control, and Robotics
  • Complexity Theory
  • Computational  Mechanics
  • Information Theory
  • Communication Theory and Information Theory
  • Networks Design, Network Protocols and Network Management


Artificial Intelligence Applications
  • Machine Learning
  • Artificial Intelligence and Technology
  • Deep Learning and Transfer Learning
  • AI Algorithms
  • Supervised and Unsupervised Learning
  • Neural Network Theory and Architectures
  • Autonomous Vehicles
  • Facial Recognition
  • Natural Language Processing
  • Expert System
  • Computer Vision
  • Bioinformatics
  • Robotics and Related Fields
  • Knowledge Engineering
  • Hardware Implementations
  • Fuzzy Logic
  • Fuzzy Optimisation
  • Fuzzy Control
  • Fuzzy Computing with Words
  • Theory of Evolutionary Algorithms
  • Evolutionary Design
  • Evolutionary Scheduling and Optimisation
  • Data Mining
  • Various Applications on Artificial Intelligence

Cyber Security and Cryptology
  • Network Security
  • Mobile Security
  • Cloud Security
  • Application Security
  • Supply Chain Security
  • Data Protection and Privacy
  • Critical Infrastructure Security
  • Risk Management and Governance
  • Threat Intelligence
  • AI and Machine Learning in Cybersecurity
  • DevSecOps and SecDevOps Practices
  • Internet of Things (IoT) Security
  • Cryptographic Implementations
  • Symmetric Cryptanalysis
  • Advanced Public-Key Encryption
  • Quantum Cryptanalysis
  • Blockchain Security