Hybrid Conferencee

International Conference on Machine Learning Models for Big Data-driven IT Innovation (ICMLMBDITI - 27)

29th - 30th April 2027 | Kathmandu, Nepal
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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 29–30 April 2027
Academic Scope 11 Tracks Conference Session Tracks
Research Scope 20 Areas Call for Papers themes
SDG Alignment 4 SDGs SDGs 4, 8, 9 and 11
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

29 APR 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 Machine Learning Algorithms
    49
    Track Overview

    This track focuses on the latest developments in machine learning algorithms tailored for big data applications. Participants will explore novel approaches that enhance predictive analytics and improve decision-making processes.

    Track 02
    Big Data Analytics Frameworks
    911
    Track Overview

    This session will delve into various frameworks designed for efficient big data analytics. Attendees will discuss the effectiveness of these frameworks in managing and processing large datasets.

    Track 03
    Cloud Computing for Scalable IT Solutions
    911
    Track Overview

    This track examines the role of cloud computing in providing scalable solutions for big data challenges. Experts will present case studies showcasing the integration of cloud technologies with machine learning models.

  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
    Intelligent Systems in Business Intelligence
    89
    Track Overview

    This session highlights the application of intelligent systems in enhancing business intelligence capabilities. Discussions will center on how machine learning can drive insights and strategic decision-making.

    Track 05
    Automation in Data-Driven IT Innovation
    89
    Track Overview

    This track explores the impact of automation on data-driven IT innovation. Participants will analyze how automated systems can optimize performance and streamline operations in various industries.

    Track 06
    Performance Monitoring in Big Data Environments
    911
    Track Overview

    This session focuses on techniques for performance monitoring in big data environments. Attendees will learn about tools and methodologies that ensure optimal system performance and reliability.

  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
View Day 02 Schedule →
Day 02

Keynote, Technical Sessions & Awards

30 APR 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
    AI Algorithms for Enhanced Data Analytics
    49
    Track Overview

    This track investigates the application of AI algorithms in improving data analytics processes. Presentations will cover innovative methods that leverage AI to extract meaningful insights from complex datasets.

    Track 08
    System Optimization Techniques for Big Data
    911
    Track Overview

    This session will cover various system optimization techniques specifically designed for big data applications. Experts will share insights on maximizing efficiency and resource utilization in IT infrastructures.

    Track 09
    Data-Driven Decision Making in IT
    911
    Track Overview

    This track emphasizes the importance of data-driven decision making in the IT sector. Participants will discuss strategies for leveraging big data and machine learning to inform critical business decisions.

  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
    Challenges and Solutions in Big Data Integration
    911
    Track Overview

    This session addresses the challenges associated with integrating big data into existing IT systems. Experts will present potential solutions and best practices for seamless integration and data management.

    Track 11
    Future Trends in Machine Learning for IT Innovation
    911
    Track Overview

    This track explores emerging trends in machine learning that are poised to drive IT innovation. Participants will engage in discussions about the future landscape of technology and its implications for big data.

  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
← Back to Day 01 Schedule
Aligned SDGs
4 Quality Education 8 Decent Work and Economic Growth 9 Industry, Innovation and Infrastructure 11 Sustainable Cities and Communities

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