<p>We invite submissions of original research contributions, case studies, and innovative applications in the following areas (but not limited to):<br>• High-performance computing (HPC) techniques and architectures for eScience<br>• Languages, paradigms, and tools for scientific workflows<br>• Scalable and efficient scientific workflows orchestration for eScience<br>• Optimization techniques for parallel and distributed computing<br>• Integration of machine learning and AI with eScience applications<br>• Big data analytics and visualization in scientific domains<br>• Cloud computing and edge computing for eScience<br>• Reproducibility and sustainability in computational research<br>• Performance evaluation and benchmarking of eScience tools and platforms<br>• Paradigms and techniques for FAIRness in eScience<br>• Ad-hoc file systems for I/O intensive eScience applications<br>• Prospective and retrospective provenance models for large-scale applications<br>• Security, privacy, and trust models and tools for eScience platforms<br>• Case studies and success stories of real-world eScience applications</p>
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