ABSTRACT:

We all know how to fold a piece of paper into beautiful objects. In this talk, we will see how to fold a graph to answer some questions about a finitely generated free group.

ABSTRACT:   Modern datasets are often high-dimensional, noisy, and complex—yet they hide remarkable patterns. Instead of focusing only on averages, correlations, or predictions, this talk explores a different question: what is the shape of the data?We will see how datasets arising from images, motion, sports analytics, biology, and social behavior often organize themselves into loops, branches, clusters, and voids. These shapes are not artifacts—they reflect meaningful structure. Without using advanced algebraic topology or machine learning, I will try and introduce the core ideas behind Topological Data Analysis (TDA) and Topological Machine Learning (TML) through concrete examples. The goal is to understand why shape is a powerful descriptor of data, what it reveals that classical methods miss, and how mathematicians turn geometry into insight. No prior background beyond basic linear algebra and probability is assumed.

ABSTRACT: 

In this talk we will explore how geometric reasoning about images evolves. We will try to appreciate how projective geometry emerges as the appropriate setting for describing image formation and spatial reasoning across one or more views.

ABSTRACT:

In this talk, we will see how the study of roots of polynomials leads to an important concept of mathematics.

ABSTRACT

In this talk we will discuss the fundamentals of game theoretic reasoning. 

DESCRIPITION:

In 2013, Yitang Zhang, a little-known mathematician working in isolation, made a major breakthrough on the Twin Prime Conjecture by bounding gaps between primes. His work sparked rapid advances by the Polymath Group and James Maynard. The film traces Zhang’s journey from hardship and obscurity to recognition, highlighting his quiet perseverance and love for solitary work, while also exploring the history of the Twin Prime Conjecture through insights from leading mathematicians.

VENUE: LHC-L4

ABSTRACT:

This will be a hands-on, beginner-friendly workshop by Dr. Arijit Sen focused on using MATLAB for mathematical modelling, simulations, and problem-solving. We’ll walk through how mathematical ideas actually show up in code, visuals, and real applications, something you may not always get from a classroom.

Note: No advanced background is required; if you’re curious and willing to explore, you’re good to go.