Awarded Projects

This project will yield empirically grounded guidelines for scalable VLM data curation, and release training code, evaluation suite, filtering tools, and annotated data pools. This will in turn foster open, reproducible research in data-centric multimodal AI.

DataROC generates potential therapeutic targets for biomedical scenarios of interest, alongside a proposed mechanism of action, origin, and disease impact for each target.

This project aims to go beyond designs based on human intuition and discover a new class of tunable gravitational wave detectors with enhanced sensitivity.

Deep reinforcement learning (DRL) has recently emerged as a novel approach to discover efficient control strategies for active flow control (AFC).

This project will establish fundamental physical design rules for defect-induced functional materials for energy conversion and energy-efficient electronics.

This project aims to establish the first controlled framework to fairly evaluate design choices in Multimodal LLMs.

The objective of this project is to design bimetallic alloys capable to act as catalysts for the Hydrogen Evolution and Oxygen Reduction Reactions (HER and ORR, respectively) by means of the application of elastic strain engineering.

Fluorescence takes place throughout the natural world. Conventional chemical wisdom proposes that in organic entities, fluorescence occurs in conjugated systems, such as the aromatics.

We plan to study point-defects in low-dimensional systems for the design and control of solid-state spin-defects for quantum technologies.