Call for Papers

Full Length Papers for the both Presentation and Publication or Abstracts for only presentation are being invited for the International Conference on Advances in Engineering and Computational Scienceson (ICAECS-2020) within the scope of the conference. All contributions must be original and should not have been published or submitted elsewhere.
• Abstracts not more than 500 words (for presentation only): The submissions must give a clear indication of the objectives, scope, and results (if available) of the research. No figures or tables are allowed
• Full Length Papers limited to 8 pages ( for both presentation and publication) : The submissions are more descriptive of the work that has been done which includes an Abstract, an introduction, a results/discussion section including Tables/ images/ graphs and a reference section.
The conference discussion may include the application /implementation/Problems related  to the following and the related areas but not limited to:
• Computational Science and Applications
• Computational science and machine learning
• Statistical modeling, methods, and computation
• Multi-scale, multi-physics, and multilevel methods
• High performance software: packages and design
• Algorithms at extreme scales
• High-order methods, novel discretizations, and scalable solvers
• Data science, analytics, and visualization
• Applications in science, engineering, and industry
• Biological and biomedical computations
• Theoretical Computer Science and Algebra
• Parallel and Distributed Computing
• Scientific simulation and uncertainty
• Numerical optimization: methods and applications
• Reduced order modeling
• Artificial intelligence and its applications in engineering and science
• State-of the art data management and data mining techniques
• 3D scientific visualization techniques
• Algorithms and Data Structures
• Automata Theory
• Computational Complexity

Computational Economics

Computational Geometry
• Computational Physics
• Computaional Biology
• Cryptography
• Information Theory
• Machine Learning
• Natural Language Processing
• Parallel and Distributed Computing
• Probabilistic Computation
• Program Semantics and Verification
• Theoretical Computer Science and Algebra
• Heuristics, Meta-heuristics and Hyper heuristics

• Any Other Areas