International Conference on Data Analytics and Knowledge Management in Engineering - (ICDAKM-27)


15th - 16th March, 2027 | Bangkok, Thailand

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

13th February, 2027

Paper Submission Deadline

18th February, 2027

Last Date Of Registration

28th February, 2027

Date Of Conference

15th - 16th March, 2027

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Call for Papers

The (ICDAKM-27) 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 Knowledge Management, 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:

  • Big data analytics in engineering
  • Knowledge management systems for data analysis
  • Predictive analytics in engineering projects
  • Data-driven decision making in engineering
  • Visualization techniques for engineering data
  • Machine learning applications in engineering
  • Data governance in engineering environments
  • Case studies in data analytics success
  • Impact of IoT on engineering data management
  • Collaboration tools for data analysis
  • Ethical considerations in data analytics
  • Real-time data processing in engineering
  • Data security in engineering applications
  • Future trends in data analytics
  • Knowledge sharing in data-driven environments
  • Interdisciplinary approaches to data challenges
  • Training for data analytics in engineering
  • Quality assurance in data analytics processes
  • Innovations in data management technologies
  • Impact of cloud computing on engineering data

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.