International Conference on Statistical Modeling and Predictive Analytics - (ICSMPA-27)


3rd - 4th February, 2027 | Islamabad, Pakistan

Multi-format (In-person/Virtual)

Submit for Presentation Attendee Registration Conference Brochure
Registration Options →

Explore conference registration categories designed for every mode of participation.

Home About Organizer Call For Paper Paper Submission Author Guidelines Registration Presentation Guidelines Organizing Committee Collaboration Agenda Do's and Dont's Invitation Letter Venue Contact Us

Important Dates

Pre-registration Deadline

4th January, 2027

Paper Submission Deadline

9th January, 2027

Last Date Of Registration

19th January, 2027

Date Of Conference

3rd - 4th February, 2027

Downloads

Conference Flyer
Sample Abstract
Sample Full Paper

Call for Papers

The (ICSMPA-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 Computational Science, Data Science, 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:

  • Statistical modeling techniques for predictive analytics
  • Machine learning for data-driven decision making
  • Challenges in predictive modeling research
  • Real-time analytics in business intelligence
  • AI applications in statistical forecasting
  • Data visualization techniques for insights
  • Collaborative approaches in statistical research
  • Ethics in predictive analytics practices
  • Future trends in statistical modeling
  • Impact of big data on analytics
  • Statistical methods for risk assessment
  • Machine learning for customer behavior prediction
  • Predictive analytics in healthcare applications
  • Interdisciplinary research in statistics
  • Statistical learning for financial forecasting
  • Applications of predictive modeling in marketing
  • Data-driven approaches to operational efficiency
  • AI-driven decision support systems
  • Statistical techniques for time series analysis
  • Predictive analytics for supply chain optimization

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.

Submit Your Paper Today Register Early & Reserve Your Slot