Welcome to the BatON Research Group

Exploring the Geometry of Data

A collaborative research group studying manifold learning techniques and their applications.

Focus: Manifold Learning 4 learners studying together Weekly study sessions Next Session: Loading…

Who We Are

BatON is a research-driven study group committed to understanding manifold learning together.

Shared Purpose

The BatON Research Group unites three mathematician candidates and a mathematician at different stages of their journeys. We study advanced topics side by side, exchange insights, and support one another as we grow into mathematicians.

Our Story

Three close friends met as undergraduates at Galatasaray University in Istanbul. Today they reunite to explore manifold learning together.

How We Learn

We design each week around collaboration, clarity, and mutual support.

Rotating Seminars

Each week one member charts a specific topic, prepares resources, and presents it to the group.

Structured Study Sprints

We break manifold learning into manageable themes—geometry, algorithms, and applications—to build shared intuition.

Collaborative Reflection

Discussion, open questions, and collective notes help us turn individual study into collective understanding.

Current Focus: Manifold Learning

Manifold learning bridges smooth geometry with modern machine learning. We approach it with curiosity, not pretense.

We are currently unpacking manifold learning, a modern area in applied mathematics and machine learning. None of us claim expertise yet; instead we divide the field into smaller themes, teach each other, and synthesise what we learn.

Through this process we aim for a shared, deep understanding that balances rigorous mathematics with computational experimentation.

Mathematical Landscapes

Differential geometry, topology, and linear algebra form the language we need to reason about manifolds.

Algorithms in Context

We explore PCA, Isomap, LLE, t-SNE, UMAP, and related methods to see how geometry informs data analysis.

Weekly Topics

Rotating presenters curate references, prepare slides, and guide the group through the week's material.

Learning Artefacts

Lecture notes, slides, and documents are working materials drawn from the literature—they support study rather than present original research.

Ethics & Citations

Academic integrity anchors our work. If you notice a missing citation or something we should clarify, please reach out and we will update our materials promptly.

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Meet the Group

Three graduate students and a mathematician, learning together from Istanbul to Marseille, Luxembourg, and Barcelona.

Oğuzhan Recep Akkol

Coordinator & Lead

After completing his mathematics degree at Galatasaray University, Oğuzhan continues his graduate studies at Aix-Marseille University. He orchestrates meetings and study plans for the group.

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Naki Eren Şengezer

Research Member

Naki graduated from Galatasaray University and now pursues his master's degree at the University of Luxembourg, bringing a measure-theoretic perspective to our discussions.

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Alptuğ Batuhan Softa

Research Member

A Galatasaray University alumnus pursuing the Masters in Advanced Mathematics and Mathematical Engineering at Universitat Politècnica de Catalunya, Alptuğ bridges theory with applications.

[email protected]

A Note to Visitors

Everything shared on this website is part of an ongoing learning process. If you discover inaccuracies or missing citations, we warmly invite you to tell us so we can correct them quickly.

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Concept Mind Map

Interactive visualization of concepts and their relationships as we progress through the study.

Version: Current Progress - Through Week 9 | Last Updated: November 30, 2025