Hybrid Conferencee

International Conference on High-Performance Computing and Big Data (ICHPCBDA - 27)

16th - 17th January 2027 | Sydney, Australia
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Conference Programme

Tentative Conference Agenda

Explore the proposed two-day programme developed around the conference Session Tracks and aligned United Nations Sustainable Development Goals.

Conference Format Hybrid Conference In-person and virtual participation
Programme 2 Days 16–17 January 2027
Academic Scope 11 Tracks Conference Session Tracks
Research Scope 20 Areas Call for Papers themes
SDG Alignment 4 SDGs SDGs 4, 9, 12 and 17
Tentative Agenda & Timings

Session timings, sequence, track grouping and allocations are tentative and subject to change. Final timings will be confirmed closer to the conference. All timings follow the local time of the conference location.

Day 01

Opening, Keynote & Technical Sessions

16 JAN 2027 HYBRID
  1. 09:00 AM 09:30 AM

    Registration, Welcome Kit Collection & Virtual Check-in

    Participant arrival, credential verification and virtual lobby access.

    HYBRID
  2. 09:30 AM 09:45 AM

    Networking Tea & Digital Welcome

    Informal networking for on-site and virtual participants.

    HYBRID
  3. 09:45 AM 10:30 AM

    Welcome Address, Opening Plenary & Keynote Presentation I

    Opening of the conference and introduction to its research focus.

    PLENARY
  4. 10:30 AM 12:30 PM

    Concurrent Technical Session I

    3 TRACKS
    Track 01
    Advancements in High-Performance Computing Architectures
    912
    Track Overview

    This track focuses on the latest developments in HPC architectures that enhance computational efficiency and scalability. Participants will explore innovative designs and their implications for big data processing.

    Track 02
    Predictive Analytics in Engineering Applications
    49
    Track Overview

    This session will delve into the use of predictive analytics to solve complex engineering problems. Emphasis will be placed on methodologies that leverage big data for improved decision-making and forecasting.

    Track 03
    Machine Learning Techniques for Big Data
    49
    Track Overview

    This track examines the integration of machine learning algorithms in the analysis of large datasets. Discussions will include the challenges and solutions associated with implementing these techniques in engineering contexts.

  5. 12:30 PM 01:30 PM

    Lunch & Networking Break

    Refreshment interval and networking opportunity.

    BREAK
  6. 01:30 PM 03:30 PM

    Concurrent Technical Session II

    3 TRACKS
    Track 04
    AI-Driven HPC Systems: Transforming Data Processing
    912
    Track Overview

    This session will explore the intersection of artificial intelligence and high-performance computing systems. Participants will discuss how AI can optimize data processing workflows and enhance system performance.

    Track 05
    Scalable Computing Solutions for Big Data Challenges
    912
    Track Overview

    This track addresses the need for scalable computing solutions to manage and analyze big data effectively. Presentations will highlight innovative strategies and technologies that support scalability in engineering applications.

    Track 06
    Data Integration Techniques for Enhanced Analytics
    917
    Track Overview

    This session focuses on methodologies for integrating diverse data sources to improve analytics outcomes. Participants will share insights on overcoming integration challenges in engineering domains.

  7. 03:30 PM 04:00 PM

    Interactive Q&A, Day 1 Summary & Group Photo

    Closing interaction and key takeaways from the first day.

    CLOSING
Day 02

Keynote, Technical Sessions & Awards

17 JAN 2027 HYBRID
  1. 09:00 AM 09:15 AM

    Participant Check-in & Day 2 Welcome

    On-site attendance confirmation and virtual lobby access.

    HYBRID
  2. 09:15 AM 10:00 AM

    Keynote Presentation II

    Expert address on the future of the conference research domain.

    PLENARY
  3. 10:00 AM 12:00 PM

    Concurrent Technical Session III

    3 TRACKS
    Track 07
    System Optimization Strategies in HPC Environments
    912
    Track Overview

    This track will cover optimization techniques that enhance the performance of HPC systems. Discussions will include resource allocation, workload management, and performance tuning for big data applications.

    Track 08
    Computational Models for Engineering Simulations
    912
    Track Overview

    This session will explore the development and application of computational models in engineering simulations. Emphasis will be placed on the role of big data in refining these models for accuracy and efficiency.

    Track 09
    Innovative Strategies for Data Analytics in Engineering
    912
    Track Overview

    This track will highlight cutting-edge strategies for data analytics tailored to engineering challenges. Participants will discuss case studies that demonstrate the impact of advanced analytics on engineering practices.

  4. 12:00 PM 01:00 PM

    Lunch & Networking Break

    Refreshment interval and professional networking.

    BREAK
  5. 01:00 PM 03:00 PM

    Concurrent Technical Session IV

    2 TRACKS
    Track 10
    Real-time Data Processing and Analytics
    912
    Track Overview

    This session will focus on the techniques and technologies that enable real-time data processing in engineering applications. Discussions will include the implications of real-time analytics for decision-making and operational efficiency.

    Track 11
    Future Trends in HPC and Big Data Engineering
    912
    Track Overview

    This track will explore emerging trends and future directions in high-performance computing and big data engineering. Participants will engage in discussions about the potential impact of these trends on the field.

  6. 03:00 PM 03:30 PM

    Publications, Best Paper & Best Presentation Awards

    Publication guidance and recognition of outstanding research contributions.

    AWARDS
  7. 03:30 PM 04:00 PM

    Valedictory Session, Closing Remarks & Group Photo

    Conference summary, acknowledgements and formal conclusion.

    CLOSING
Aligned SDGs
4 Quality Education 9 Industry, Innovation and Infrastructure 12 Responsible Consumption and Production 17 Partnerships for the Goals

Be Part of ICHPCBDA-27

Submit your research or complete your conference registration.