AMMLAC 2022

Call for Papers

Authors are solicited to contribute submitting full length original articles illustrating their results, projects, experimental works, and industrial experiences that describe significant advances on the followings topics.

Targeted Participants


  • U.G./ P.G./ Ph.D. students
  • Faculty/ Academia
  • Researchers/ Scientists/ Industry personnel

Track-1:


Applied Mechanics

  • Computational Mechanics
  • Mechanics of Granular Materials
  • Advanced Materials
  • Multiphysics
  • Multiscale Modelling
  • Acoustics and wave Propagation
  • Thermal and Fluids Engineering
  • Numerical Heat Transfer
  • Finite Element Analysis
  • Design Optimization
  • Manufacturing Science
  • Fluid Structure Interaction
  • Molecular Dynamics
  • Robotics
  • Fracture Mechanics
  • Biomechanics
  • Design for Manufacturing
  • Thermal Energy Systems Design
  • Micromechanics
  • Composite Materials and Smart Structures
  • Structural Mechanics

Track-2:


Machine Learning Applications in Computer Science

  • Computational Intelligence
  • Cognitive Intelligence
  • Ambient Intelligence
  • Deep Learning
  • Intelligent Systems
  • Image Processing
  • Data Analytics and Knowledge Discovery
  • Dimensionality Reduction
  • Feature Selection, Transformation and Construction
  • Clustering, Classification and Regression Methods
  • Unsupervised Feature Learning
  • Recommender Systems
  • Collaborative Filtering
  • Computer Vision
  • Human Activity Recognition
  • Information Retrieval
  • Natural Language Processing
  • Big Data Analytics
  • Computational Intelligence
  • Deep learning applications
  • Image processing
  • Social media analytics
  • Data Pre-Processing
  • Dimensionality Reduction
  • Soft Computing
  • Evolutionary Computing
  • Nature Inspired Computing
  • Predictive Analysis

Track-3:


Artificial Intelligence and Machine Learning (AI & ML) Applications in Science, Engineering and interdisciplinary areas

  • Gene Extraction
  • ML applications in networking
  • ML Application in Multiscale analysis and modeling
  • ML Applications in Applied Mechanics
  • ML Applications in Biomechanics
  • ML Applications in Dynamics and Robotics
  • AI in Healthcare and Medicine
  • Smart Society
  • Smart Farming
  • Renewable Energy
  • Internet of Things
  • Cyber Physical System
  • ML applications in Bioinformatics and Biomedical Engineering
  • ML Applications in Material Science
  • ML applications in Smart Manufacturing
  • ML applications in Molecular Dynamics Simulations
  • ML applications in Fluid Mechanics and Fluid flow
  • ML applications in Heat transfer
  • ML applications in Numerical Analysis