Awarded Projects

This project proposes RegionReasoner, a reinforcement learning framework for region-grounded multi-round visual reasoning.

The first gravitational wave and electromagnetic (EM) observation of a merging binary neutron star (BNS) in 2017 demonstrated that such systems can launch powerful relativistic jets and, in turn, produce short gamma-ray bursts (SGRBs).

Cobalt (Co) is the key constituent of hard metal composites that are indispensable for advanced machining tools. Despite its use for over one hundred years, there is a strong interest in finding equivalent alternatives.

This project seeks to establish Linear Recurrent Neural Networks (LRNNs) as scalable and efficient alternatives to transformer-based Large Language Models (LLMs).

This proposal aims to support assessment of cloud feedbacks and climate sensitivity, as part of the the ongoing H2020 project Next Generation Earth Modelling Systems (NextGEMS).  Cloud response to climate change remains a primary uncertainty and challenge in future climate projection.

Galaxies and the gas surrounding them are turbulent and multiphase, i.e., colder (< 10^4 K) gas is embedded in a much larger, volume filling hot (≳ 10^6 K) phase, and regulates the fuel supply for star formation and black hole growth.

This project leverages cutting-edge generative AI models to design synthetic enzymes optimized for industrial applications in biofuels, agriculture, and pharmaceuticals.

This project addresses the critical gap between the promise of general-purpose AI (GPAI) models in medical imaging and their reliable clinical implementation through a two-phase approach combining systematic robustness evaluation and targeted domain adaptation.

It is widely acknowledged that the prediction of turbulent flows in the presence of separation is one of the most significant challenges in fluid dynamics.