International Conference on

Big Data and Machine Learning in IT Infrastructure Management (ICBDMLITIM-26)

18th – 19th Sep 2026 | Beijing, China | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on Big Data and Machine Learning in IT Infrastructure Management invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Big Data, Machine Learning, Information Technology encouraging interdisciplinary research and innovative approaches to solving real-world problems.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Machine learning for IT infrastructure
02
Big data analytics in system management
03
Predictive maintenance using ML
04
Performance monitoring with big data
05
Network optimization through data analysis
06
AI applications in infrastructure management
07
Real-time data processing for IT systems
08
Challenges in IT infrastructure analytics
09
Data-driven decision making in IT
10
Integration of ML in network security
11
Impact of big data on IT operations
12
Infrastructure resilience through analytics
13
Cloud infrastructure and big data
14
Automation in IT management systems
15
Data visualization for infrastructure insights
16
Case studies in IT infrastructure success
17
Future of IT infrastructure management
18
Security challenges in big data systems
19
Collaboration between IT and data science
20
Innovative tools for infrastructure analytics
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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