Hybrid Conference (In Person / Virtual)

International Conference on High-Performance Data Analytics and Scientific Modeling (ICHPDASM - 27)
9th - 10th April 2027 , San Diego, USA
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in San Diego. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the San Diego conference."
  • Networking with Global Experts:
    "Join global experts at our conference in San Diego and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICHPDASM provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Computational Science, Data Science, encouraging participation from emerging researchers and fostering academic growth.

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

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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