Call For Papers
The ICHPDASM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Computational Science,Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- High-performance computing for data analytics
- Data modeling techniques for scientific research
- Big data challenges in scientific modeling
- Machine learning applications in data analytics
- Real-time data processing in research
- Visualization techniques for scientific data
- Data management in high-performance computing
- Collaborative tools for data analysis
- Impact of AI on scientific modeling
- Case studies in high-performance data analytics
- Future trends in data-driven research
- Ethics of data usage in science
- Interdisciplinary approaches to data analytics
- Data-driven decision making in research
- Optimization techniques for data processing
- Data sharing and collaboration in science
- Innovative tools for scientific computing
- Uncertainty quantification in data analysis
- Applications of AI in scientific research
- Challenges in high-performance data analytics
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.