Nila Campus

Venue: Room 303, Samgatha, Nila campus
 
 
Advances in Omics have transformed our ability to interrogate biological systems at unprecedented resolution, requiring robust integration of diverse high-dimensional datasets. My research bridges single-cell analysis, transcriptomics, genomics, and high-throughput sequencing pipelines to uncover novel biological insights. This integrative expertise extends to Radiomics, applying AI-driven analytics to medical imaging, and Pathomics, enabling computational evaluation of histopathology images.

Abstract: The study of the association between holomorphic vector bundles on a compact Riemann surface (equivalently, a smooth algebraic curve) and representations of its fundamental group dates back to the pioneering work of A. Weil in the 1930s. Weil’s seminal article, where he classifies vector bundles that arise from representations, inspired Narasimhan and Seshadri in their quest to construct moduli spaces of vector bundles on compact Riemann surfaces.

This workshop covers  Molecular Dynamics (MD) and Monte Carlo (MC) simulations, two of the most powerful computational physics tools. Harnessing the parallel processing power of GPUs one can significantly accelerate these simulations, enabling the study of larger and more complex systems. User-friendly software packages, HOOMD and OpenMM, allow researchers to leverage the GPU acceleration without extensive coding expertise.

Title. Stability analysis of a delayed population model.

Venue. 308 

Time. Part 1 (9.00 - 10.00 AM), Part 2 (12.00 - 1.00 PM)

Abstract. 

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