Hybrid Conferencee

International Conference on Big Data and Machine Learning for IT Risk Management (ICBDMLITRM - 26)

19th - 20th June 2026 | Singapore, Singapore
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Singapore. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Singapore event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Singapore conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Singapore, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Singapore."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICBDMLITRM aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Big Data,Machine Learning,Information Technology, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Risk management strategies using big data
02
Machine learning for cybersecurity
03
Predictive analytics for IT risk
04
Data-driven risk assessment models
05
Big data compliance and regulations
06
AI in risk mitigation strategies
07
Data visualization for risk management
08
Real-time risk monitoring systems
09
Big data in financial risk management
10
Machine learning for operational risk
11
Big data analytics for compliance
12
Risk prediction using machine learning
13
Data quality and risk management
14
AI-driven risk analysis tools
15
Big data in project risk management
16
Machine learning for disaster recovery
17
Statistical methods for risk assessment
18
Big data in insurance risk modeling
19
AI applications in risk forecasting
20
Challenges in IT risk management