WELCOME TO INTERNATIONAL CONFERENCE ON METHODS IN DATA SCIENCE

It is with great pleasure that Mar Athanasius College (Autonomous), Kothamangalam, Kerala, India is announcing International Conference on Methods in Data Science from 9-11 December, 2025 at our campus.

Contact: midas@macollege.in

Join leading mathematicians, statisticians, and data scientists from across the globe to explore the mathematical foundations and real world frontiers of modern data science.

Tentative Speakers

Call for contributory papers: Those who are interested can submit their abstracts online at the conference website in the above-mentioned themes.

Contributory paper session will be held on all the days from 9 - 11 December 2025.

MIDAS-25

The International Conference on Methods in Data Science (MIDAS 25) is a three-day academic event that focuses on the mathematical foundations that drive data science. Experts in mathematics, statistics, computer science, and industry will come together to share new ideas and explore future directions in turning data into insights. Key themes include linear algebra, topological data analysis, graph theory, probabilistic models, optimization, machine learning, trustworthy AI, and innovative tools for big data. The programme will feature keynote talks, reviewed paper presentations, poster sessions, and panel discussions, offering a valuable platform for learning, collaboration, and networking.

Call for Papers

Original research papers may be submitted for presentation in the contributory paper sessions. Submissions on any topic related to the conference themes are welcome. All abstracts and papers must be written in English. Participants who wish to present a paper must submit an abstract of up to 500 words electronically. All selected abstracts will be published in the conference proceedings with ISBN number.

Accepted papers from the contributory sessions will be considered for publication in the Springer Proceedings in Mathematics & Statistics (SPMS). This series is indexed in Scopus and Web of Science.

Academic Sessions for Conference:

Plenary Talks, Invited Talks, Contributed Papers, Poster presentation

Themes

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Linear Algebra
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Topological Data Analysis
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Graph Theory and Network Science
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Multivariate Methods & Dimensionality Reduction
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Probability, Inference & Hypothesis Testing
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Machine Learning & Artificial Intelligence
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Deep Learning & Representation Learning
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Emerging Topics in Data Science
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Linear
Algebra
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Topological Data Analysis
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Graph Theory
Network Science
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Multivariate Methods & Dimensionality Reduction
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Probability, Inference & Hypothesis Testing
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Machine Learning & Artificial Intelligence
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Deep Learning & Representation Learning
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Emerging Topics in Data Science

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