Agenda

Conference Programme

Tentative Conference Agenda

Explore the proposed two-day programme organised around conference-aligned SDGs and their mapped Session Tracks.

Conference Format Hybrid Conference In-person and virtual participation
Programme 2 Days 19–20 March 2027
Academic Scope 11 Tracks Conference Session Tracks
Agenda Structure 4 SDG Sessions SDG-focused technical sessions
Conference SDG Alignment 7 SDGs SDGs 4, 7, 8, 9, 10, 11 and 12
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.

SDG-Based Agenda Structure

The conference-aligned SDGs are distributed across the four Concurrent Technical Sessions and show the conference's overall SDG alignment for each part of the programme. Session Tracks follow their own sequence and are scheduled once.

Day 01

Conference Schedule

19 MAR 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

    SDG 4 · Quality Education

    3 TRACKS
    Track 01
    Advancements in Machine Learning Algorithms
    Track 02
    Data Mining Techniques for Big Data
    Track 03
    AI Models for Predictive Analytics
  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

    SDG 7 · Affordable and Clean Energy ·SDG 8 · Decent Work and Economic Growth

    3 TRACKS
    Track 04
    Deep Learning Applications in Engineering
    Track 05
    Scalable Computing for Big Data Solutions
    Track 06
    Data Integration Strategies in Intelligent Systems
  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

Conference Schedule

20 MAR 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

    SDG 9 · Industry, Innovation and Infrastructure ·SDG 10 · Reduced Inequalities

    3 TRACKS
    Track 07
    System Optimization through Advanced Analytics
    Track 08
    AI-Driven Insights for Engineering Innovation
    Track 09
    Machine Learning Frameworks for Big Data
  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

    SDG 11 · Sustainable Cities and Communities ·SDG 12 · Responsible Consumption and Production

    2 TRACKS
    Track 10
    Data-Driven Solutions for Engineering Challenges
    Track 11
    Innovative Strategies in Big Data Analytics
  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
Conference-Aligned SDGs The conference aligns with the following United Nations Sustainable Development Goals.
4 Quality Education 7 Affordable and Clean Energy 8 Decent Work and Economic Growth 9 Industry, Innovation and Infrastructure 10 Reduced Inequalities 11 Sustainable Cities and Communities 12 Responsible Consumption and Production

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