Multi-Objective Optimization for path planning: Comparing MOAstar to MOACO, older adults case study

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, […]

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Étude des altérations de la structure et du fonctionnement cérébral consécutives à un traumatisme crânien léger chez le jeune enfant.

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 […]

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L2M – Transforming Pediatric Neurodevelopmental Interventions: A Novel Model for Enhancing Social Skills and Reducing Challenging Behaviors in Children with ASD and ADHD

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 […]

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It’s Not the System, It’s the Human: Leveraging Civilian Capability in Cyber Operations

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. […]

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L2M ScaleUp

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 […]

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Transfert d’apprentissage pour des modèles d’apprentissage profond pour estimer la pression artérielle

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 […]

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Optimizing STAR-RIS Deployment for Next-Generation Wireless Networks

This research project focuses on improving wireless communication systems by studying and optimizing new technologies called Reconfigurable Intelligent Surfaces (RIS). These surfaces can control how wireless signals travel, helping expand coverage and improve connection quality in urban and rural areas. A special type of RIS, known as STAR-RIS (Simultaneously Transmitting and Reflecting), allows signals to […]

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Real-Time Polymerization Kinetics and the Effects of Different Post Curing Protocols on the Elastic Modulus of 3D Printed Dental Resin

For decades, dentistry relied on manual processes to create restorations and appliances—methods that are prone to human error, inconsistency, and lengthy production times. 3D printing of dental resins is a transformative technology that is changing how restorations and prostheses are made. 3D printing can integrate with intraoral scanners and CAD/CAM systems to create end-to-end digital […]

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Metabolomic profile of pulmonary neuroendocrine neoplasms

This research project aims to develop an innovative blood test for earlier detection of an important subtype of lung tumors, known as neuroendocrine neoplasms (NENs). Unfortunately, these tumors are too often diagnosed late and are difficult to treat. Our approach is to exploit a specific characteristic of neoplasms: tumor cells adapt the way they generate […]

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Digital Transformation and Global Expansion: A Comparative Analysis of Haier and Xiaomi in Europe’s Smart Home Industry

This project aims to understand how two major Chinese technology companies, Haier and Xiaomi, use digital tools such as the Internet of Things (IoT) and artificial intelligence (AI) to expand their smart home products in Europe. The intern will study how these technologies improve daily life by making homes more efficient, comfortable, and secure, and […]

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New Perspectives in Quantum Materials: Floquet Circuits and Magnetic Aspects of Hyperbolic Lattices

This project aims to develop new driving protocols and investigate the exotic physical properties of hyperbolic quantum materials using time-periodically modulated (“Floquet”) electrical circuits under magnetic driving. By leveraging these programmable circuits, we will explore how curvature and periodic modulation influence energy flow, spectral features, and effective magnetic behavior in synthetic hyperbolic lattices. The collaboration […]

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Étude de l’évolution de l’architecture fonctionnelle de logiciels durant la maintenance pour proposer du réusinage empêchant la dégradation de l’architecture

Ce projet de recherche a pour objectif d’analyser l’évolution de l’architecture fonctionnelle des logiciels au cours de leur maintenance, une phase souvent sujette à des modifications qui peuvent altérer la qualité et la cohérence du système. En étudiant ces transformations, le projet vise à concevoir des approches de réusinage intelligent capables de prévenir la dégradation […]

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