On-location / Digital Conference

International Conference on Thermo-Fluid Systems and Data Mining Approaches (ICTFSDMA-27)

21st - 22nd Jan 2027,Boston, USA

In Association With:

Call for Paper


Important Dates


Early Bird Registration

22nd Dec 2026

Paper Submission Deadline

27th December 2026

Registration Deadline

6th January 2027

Conference Date

21st - 22nd Jan 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Boston ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Boston conference.
  • Peer Review Process:
    The peer review process will begin soon for Boston conference.
  • Networking with Global Experts:
    Join global experts at our conference in Boston.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICTFSDMA 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 Thermo-Fluid Systems and Data Mining Approaches, 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 for fluid dynamics analysis
  • Machine learning in thermo-fluid systems
  • Big data challenges in fluid engineering
  • Data-driven approaches to thermal management
  • Sensor technologies for fluid monitoring
  • Data visualization techniques for fluid data
  • Artificial intelligence in fluid engineering applications
  • Data mining for heat transfer optimization
  • Statistical methods in thermo-fluid research
  • Data mining for energy systems analysis
  • Integration of IoT in fluid systems
  • Data management for thermal systems projects
  • Data mining for HVAC system performance
  • Trends in thermo-fluid engineering data analytics
  • Real-time data analysis for fluid systems
  • Data mining for renewable energy systems
  • Cybersecurity in fluid engineering data systems
  • Data-driven decision making in fluid dynamics
  • Data mining for process optimization in fluids
  • Data mining for environmental impact assessment

Assessment

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.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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