PhD Candidate Poster Session

Exploring Design and Pattern Retrieval Through Associative Memory

Myo-regressor Deep Informed Neural NetwOrk (Myo-DINO) for fast MR parameters mapping in Neuromuscolar Disorders

Lower bounds for the Integrality Gap of the Metric Steiner Tree Problem via a novel formulation

Adaptive method for the wave equation based on a space-time continuous and coercive formulation

Insights into Regulatory Networks: Long Non-Coding Transcripts Modulate Protein Coding Transcripts in Sporothrix brasiliensis

A stochastic optimization approach for scheduling CT scans and reports

Learning the Hodgkin-Huxley Model with Operator Learning Techniques

Graph Analysis applied to Psychology

Integrating Molecular Dynamics and Machine Learning Algorithms to Predict the Functional Profile of Kinase Ligands

Few-Shot Learning on Vision Transformers for Semantic Segmentation

Breaking Consensus in Kinetic Opinion Formation Models on Graphons

Grifth criterion for phase field fracture

Gene expression profiles during the endometrial window for embryo implantation: exploring endometrial receptivity via Weighted Gene Co-expression Network Analysis in uterine fluid-derived extracellular vesicles

Trefftz Discontinuous-Galerkin Methods for Scattering by Periodic Structures

Magnetization Transfer Imaging in late-onset Pompe disease

Physics - Informed Neural Networks for Ionic Models in Electrophysiology

A Bayesian Approach to Clustering Using the Proper Bayesian Bootstrap

A parallelization algorithm for the Capacity Expansion Problem of an Electrical Grid

Data driven and decision making approaches to model performance analysis of the students