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Call For Papers

The I2CEADM 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 Data Mining, encouraging applied research, case studies, and industry-driven innovations.

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

  • Data mining applications in chemical engineering
  • Predictive analytics for chemical processes
  • Machine learning in process optimization
  • Data-driven safety assessments in chemicals
  • Chemical data visualization techniques
  • Big data challenges in chemical engineering
  • Data mining for material discovery
  • AI applications in chemical manufacturing
  • Sustainability metrics in chemical processes
  • Data-driven innovations in pharmaceuticals
  • Real-time monitoring in chemical plants
  • Data mining for environmental compliance
  • Machine learning for reaction engineering
  • Data analytics in petrochemical industries
  • Integration of IoT in chemical engineering
  • Data-driven decision making in chemistry
  • Case studies of successful chemical analytics
  • Data mining for product formulation
  • Ethics in chemical engineering data usage
  • Future trends in chemical engineering analytics

Evaluation

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

Registration

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

Publication

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