International Conference on Data Analytics and Knowledge Management in Engineering ICDAKM

Call For Papers

The ICDAKM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Knowledge Management , encouraging applied research, case studies, and industry-driven innovations.

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

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event