Date: 8th & 9th April 2026 | Time: 8.00 am – 12:00 pm (IST) | Location: Online
Overview
The International Conference on Statistical Methods in Engineering & Biotechnology brings together statisticians, engineers, and biotechnologists to explore the application of quantitative and analytical methodologies across industrial and biological disciplines. The conference focuses on the integration of statistical modeling, data analysis, and experimental design in solving complex engineering and biotechnology problems. It provides a platform for sharing innovations in process improvement, bioinformatics, quality control, and predictive analytics that foster evidence-based scientific and technological advancements.
Structure and Sessions (Who Does What)
Participate and Contribute (Who Benefits)
Benefits for Attendees
Abstract Topics / Call for Papers (CFP) Tracks
Detailed Program Grid
| Time (IST) | Day 1 | Day 2 |
| 08:00 – 08:15 | Opening Ceremony & Welcome | Recap and Opening Remarks |
| 08:15 – 09:00 | Keynote: Statistical Foundations for Modern Engineering Systems | Keynote: Data Analytics and Predictive Models in Biotechnology |
| 09:00 – 10:15 | Technical Session I – Statistical Methods in Engineering Applications | Technical Session IV – Computational Biology & Bioinformatics Models |
| 10:15 – 10:30 | Break | Break |
| 10:30 – 11:15 | Technical Session II – Optimization & Quality Control | Technical Session V – Machine Learning & Statistical Innovations |
| 11:15 – 11:45 | Panel Discussion: Role of Statistics in Interdisciplinary Research | Student & Research Forum: Emerging Data Applications |
| 11:45 – 12:00 | Day Summary & Announcements | Awards & Closing Ceremony |
Submit Abstract & Registration
| Conference Dates | Conference Title | Timing (IST) | Abstract Submission Deadline | Registration Deadline |
| 8th, 9th April 2026 | International Conference on Statistical Methods in Engineering & Biotechnology | 8:00 AM – 12:00 PM | 30th March 2026 (Mon) | 1st April 2026 |
Abstract Guidelines
Conclusion
This international conference bridges statistics, engineering, and biotechnology through data-driven innovations and practical applications. Participants will gain insights into analytical methods transforming engineering design, bioprocess optimization, and data-centric biological research while contributing to global collaboration in quantitative science.