International Conference on Computational Advances in Science and Engineering [ICCASE2022]
About Conference:
International Conference on Computational Advances in Science and Engineering [ICCASE2022]International Conference on Computational Advances in Science and Engineering [ICCASE2022] focuses on the application of computational techniques, methods, and tools to solve complex problems in science and engineering. The conference serves as a global platform for researchers, scientists, academicians, and industry professionals to share advancements in computational methods and their applications across various disciplines. The conference emphasizes the role of computational advancements in driving innovation in science and engineering, with a focus on addressing real-world challenges through interdisciplinary research. To provide a forum for exchanging ideas, presenting research findings, and fostering collaborations in the field of computational science and engineering. The conference is about to held in Bengaluru, Karnataka, India on 24th July 2022.
Scope:
The ICCASE 2022 covers a wide range of topics within computational science and engineering, highlighting both fundamental research and practical applications. The scope extends to computational methods and algorithms, computational applications in science, engineering applications, data science and analytics, and interdisciplinary research. Advances in Computational Science and Engineering publishes original research that promises to advance our understanding of computational science and engineering over diverse topics and research methods in computational science and engineering. The key goals of the conference are about-
- to encourage creativity in engineering and computational science.
- to investigate how computation may be used to solve problems in the real world.
- to encourage industry and academic cooperation.
- to talk about new developments and potential paths for computational research.
Topics:
Manuscripts are most welcome and not limited to the topics mentioned below,
- Mathematics.
- Computer Science.
- Physics.
- Chemistry.
- Biology.
- Technology.
- Management.
- Engineering (civil, mechanical, electrical, etc.).
- High performance computing.
- Machine Learning.
- Artificial Intelligence.
- Software Development.
- Innovation management in sustainable technology adoption.
- Cybersecurity.
- Robotics.
- Advanced Networking and Cybersecurity.
- Computational Fluid Dynamics (CFD) and Thermal Analysis.
- Digital Twins.
- Smart Manufacturing.
- Computational Neuroscience.
- Health Informatics.
- Bioinformatics.
- Computational Biology.
- Computational Physics and Chemistry.
- Materials Science.
- Nanotechnology Simulations.
- Climate Modeling and Environmental Simulations.
- Quantum Computing.
- Computational Modeling and Optimization Techniques.
- Finite Element Analysis (FEA).
- Predictive modeling and machine learning in science and engineering.
- Ethical issues and policies.
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