The advance of sensors can have important impacts to our lives, ranging from developing safer self-driving cars to more precise medical imaging. Quantum properties like entanglement can dramatically improve the sensitivity of sensors. This project will study a new type of quantum sensing that aims to track speed. A new design will be considered that […]

Organic gunshot residue (OGSR) is a trace residue released during firearm discharge. It includes unburned, partially burned, and pyrolyzed components of the propellant (smokeless powder) and other organic substances (stabilizers, plasticizers, flame suppressants). Recently, the forensic community has shown interest in complementing standard SEM-EDS methods for the detection of inorganic gunshot residue (IGSR), with analytical […]

Compositionality — the ability to understand new combinations of familiar parts — is a core aspect of human cognition and reasoning, but current vision-language models such as CLIP still struggle with it. These limitations reduce the reliability of systems that must correctly interpret objects, attributes, and relations in real-world scenarios. Although many methods have been […]

This project focuses on three tasks: 1. Develop a compact descriptor for 3D Gaussian splats to enable robust registration between partial sub-maps. Inspired by prior learned descriptors, the method will encode local Gaussian parameters for fast matching under noise and partial overlap. 2. Extend existing multi-agent Gaussian SLAM system into a decentralized framework where each […]

This project develops automated pipelines for processing Raman and UV-Vis spectral data collected during studies of molecular degradation. The focus is on improving reproducibility, accuracy, and efficiency in monitoring antioxidants such as BHT and PAN derivatives. The workflows will perform spectral baseline correction, peak fitting, smoothing, and feature extraction, enabling rapid interpretation of large experimental […]

We propose to use AI to generate tuned antibodies that reduce side effects using GPT models fine-tuned from the AbilityGPT base language models created in the previous project. Starting with the AbilityGPT models based on several sizes, fine tune the models using sequences known to be active for selected targets. These may be selected from […]

As populations age, many older adults face increasing difficulty moving safely and comfortably through their cities due to challenges such as limited walking endurance, steep slopes, poor lighting, and the need for regular rest. This project aims to improve pedestrian route planning by developing and comparing methods that generate routes adapted to older adults’ needs, […]

Le traumatisme crânio-cérébral léger (TCCL) constitue un enjeu majeur de santé publique : les enfants de 0–6 ans sont particulièrement vulnérables, alors que la majorité des travaux se concentre sur les plus âgés, suggérant que les TCCL induisent des altérations cérébrales persistantes au-delà de 3 mois post-blessure. La thèse de V.Chouquet étudie ces altérations cérébrales […]

The Interactive Multisensory Physical Movement (IMPM) model addresses a critical and growing gap in pediatric neurodevelopmental care. It offers a rigorously designed, non-pharmacological therapeutic approach for autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). Current treatments often focus on short-term symptom management, have adverse side effects, and produce limited long-lasting improvements in social […]

The project will examine how Estonia incorporates civilian experts and volunteers into its national cyber defence, and what ethical, legal, and governance challenges arise from this growing role. By reviewing existing research, mapping Estonia’s cyber-volunteer ecosystem, and speaking with experts, the project will identify how democracies can safely and responsibly work with civilian cyber operators. […]

ScaleUp is a marketing tool that uses AI to help small businesses plan, create, schedule, and measure social posts in one place. This project will test ScaleUp with real firms, learn which features matter most, and shape an easy, affordable package. The intern will run interviews and small pilots, compare results before/after use, and report […]

La pression artérielle (PA) est un indicateur clé de notre santé, mais sa mesure reste souvent ponctuelle et peu représentative de notre quotidien. Ce projet vise à améliorer cette situation grâce à un bracelet intelligent capable de mesurer la PA de manière opportuniste, sans brassard, en utilisant des capteurs comme la photopléthysmographie (PPG). Le stagiaire […]