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Hybrid Event

7th - 8th July 2026 | Melbourne, Australia

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

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICBDMLITIM) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Big Data,Machine Learning,Information Technology, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.