International Conference on Data Science and Applied Algebra

International Conference on Data Science and Applied Algebra (IC-DSAA 2026)

Date: May 16, 2026 | Mode: Hybrid | Location: Chennai, India
Organized by: Mastering Up
Convenors:

• Dr. Aishwarya Dhara, Founder & Director – Innova World, India

• Dr. Antony Cyril, Co-Founder & CTO – IonIQs BV, Netherlands

Conference Introduction

The International Conference on Data Science and Applied Algebra (IC-DSAA 2026) is an interdisciplinary academic event that brings together scholars, researchers, professionals, and practitioners from the fields of data science, mathematics, computer science, and engineering. The conference focuses on the synergy between modern data-driven techniques and the foundational principles of algebra and mathematical modeling, aiming to bridge the gap between abstract theory and practical applications.

Conference Objective

• To promote innovative research in data analytics, machine learning, and computational algebra.

• To foster collaborative research among mathematicians, data scientists, and technologists.

• To highlight the role of algebraic methods in data science algorithms and problem-solving.

• To create a knowledge-sharing ecosystem for early-career and seasoned researchers.

Conference Outcome

Participants will:

• Present and discuss their research findings.

• Engage with global experts in academia and industry.

• Learn about cutting-edge trends and applications of algebra in data science.

• Publish their work in reputed Scopus, WoS, and SCI indexed journals.

• Receive e-certificates of participation/presentation.

Call for Papers – List of Topics

Researchers are invited to submit original papers in the following areas (but not limited to):

• Algebraic Methods in Data Science

• Linear and Abstract Algebra Applications

• Mathematical Foundations of AI & ML

• Symbolic Computation and Algebra Systems

• Graph Theory and Network Analysis

• Computational Number Theory

• Data Mining and Pattern Recognition

• Multivariate Data Analysis

• Optimization and Operations Research

• Statistical Modeling and Inference

• Cryptography and Algebraic Coding Theory

• Quantum Computing and Algebraic Structures

• Predictive Modeling and Big Data Analytics

• Data Science in Natural and Social Sciences

• Machine Learning Algorithms and Theoretical Mathematics

About Mastering Up – EduTech Platform

Mastering Up is a global EduTech platform empowering academic and industry professionals with transformative learning experiences. It offers international conferences, research training, industry integration, and academic publishing opportunities. With a focus on multidisciplinary growth, Mastering Up nurtures innovation, fosters collaboration, and promotes academic excellence at scale.

Important Dates (Tentative)

Registration Fees

🔗 Register Here
Limited seats. Registration is on a first-come, first-served basis.

🌍 Foreign Delegates

• 100 USD

🇮🇳 Indian Delegates

• Students/Scholars: ₹1000 (Late Fee: ₹1500)

• Faculty: ₹2000 (Late Fee: ₹2500)

• Industry/Scientists: ₹3000 (Late Fee: ₹3500)

Publication Opportunities

Selected peer-reviewed papers will be published in Scopus, Web of Science (WoS), or SCI indexed journals, subject to journal scope and acceptance norms.

Suggested Journals:

1. Journal of Algebra and Its Applications

   • ISSN: 0219-4988

   • Link

2. International Journal of Data Science and Analytics (Springer)

   • ISSN: 2364-4168

   • Link

3. Journal of Computational and Applied Mathematics

   • ISSN: 0377-0427

   • Link

4. Information Sciences

   • ISSN: 0020-0255

   • Link

5. Applied Algebra in Engineering, Communication and Computing

   • ISSN: 0938-1279

   • Link

Contact & Registration

• Email: contact@masteringup.com

• Registration Portal: https://rzp.io/rzp/muconference