Hybrid Conference (In Person / Virtual)

International Conference on Parallel Computing and Large-Scale Simulations (ICPCLSS - 27)
11th - 12th February 2027 , Udon Thai, Thailand
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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 Udon Thai. 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 Udon Thai conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Udon Thai 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 ICPCLSS 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
Parallel computing techniques for big data
02
Large-scale simulations in scientific research
03
Machine learning for distributed systems
04
Challenges in parallel computing applications
05
Real-time analytics in high-performance computing
06
AI applications in parallel processing
07
Data-driven approaches to scalability issues
08
Future trends in parallel computing
09
Collaborative frameworks for large-scale simulations
10
Impact of AI on computational efficiency
11
Statistical methods in parallel computing
12
Visualization techniques for simulation results
13
Machine learning for optimization in parallel systems
14
Interdisciplinary research in computing
15
Ethics in high-performance computing
16
Applications of parallel computing in finance
17
Simulation-based decision support in engineering
18
Data integration techniques for large datasets
19
AI-driven solutions for computational challenges
20
Parallel algorithms for machine learning tasks

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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