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Call For Papers

The ICHPDASM is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit.

Focusing on Computational Science,Data Science, the conference promotes research aligned with global development goals and long-term sustainability.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
High-performance computing for data analytics
02
Data modeling techniques for scientific research
03
Big data challenges in scientific modeling
04
Machine learning applications in data analytics
05
Real-time data processing in research
06
Visualization techniques for scientific data
07
Data management in high-performance computing
08
Collaborative tools for data analysis
09
Impact of AI on scientific modeling
10
Case studies in high-performance data analytics
11
Future trends in data-driven research
12
Ethics of data usage in science
13
Interdisciplinary approaches to data analytics
14
Data-driven decision making in research
15
Optimization techniques for data processing
16
Data sharing and collaboration in science
17
Innovative tools for scientific computing
18
Uncertainty quantification in data analysis
19
Applications of AI in scientific research
20
Challenges in high-performance data analytics

Assessment

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

Start Your Research Journey Here Get Started with Registration