ESROP – KMUTT – Time series Data Modeling and Analysis with a focus on financial data

This project focuses on improving transformer-based models for quantitative finance (QFin) by addressing key limitations such as inadequate long-term memory, lack of sentiment analysis, and difficulties in handling multimodal data. While transformers have achieved breakthroughs in fields like protein folding and natural language processing, their application in finance still faces challenges. Existing financial transformers struggle […]

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ESROP – KMUTT – Context Aware AI Music Therapist for Elderly with Neurodegenerative Diseases

Neurodegenerative diseases like Alzheimer’s and Parkinson’s cause cognitive decline, motor impairment, and emotional distress. While pharmacological treatments exist, music therapy has shown promise in alleviating symptoms. This project enhances music therapy using AI, making interventions more accessible and personalized. This project aim to develop an AI-powered wearable system that personalizes music therapy based on emotional […]

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L2M – Mector (A supportive memory solution for dementia patients)

Mector is a user-friendly communication system designed to support seniors with dementia, helping them live independently at home while providing peace of mind to their family caregivers. Dementia often poses significant daily challenges, leaving family members feeling stressed and concerned about their loved one’s safety and well-being, especially when they are alone. Mector addresses these […]

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L2M QC Spring 2025 | Social Worker Safety and Reporting Application – SafeSocial

SafeSocial is a mobile and web application designed to improve the safety and efficiency of social workers during home visits. By providing real-time monitoring, emergency response, and AI-powered incident reporting, the app helps social workers feel more secure and supported in the field. Key features include a panic button, live location tracking, risk assessments, and […]

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L2M QC Spring 2025 | Robust THz technology for efficient and secured data exchange

The surge in data driven by economic expansion has increased the demand for fast, reliable internet. However, existing technologies struggle to keep up, causing video buffering, game lag, and slow file transfers. At the same time, rising cyber threats make data security a top concern, with high-profile breaches compromising millions of users and causing financial […]

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Using Thermal Feedback for Spatial Awareness in Virtual Reality

In this project, we will utilize thermal feedback for target position identification in a virtual environment, e.g., allow users to know the location and distance of a virtual object with respect to their position based on the location and intensity of the thermal feedback. Our goal is to design and develop a new VR application […]

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Supermassive Black Hole Masses in Lensed Galaxies

The past decade has revolutionized the astronomical observation of black holes. In 2015, the gravitational waves generated by the merger of two black holes were detected, which confirmed the predictions of general relativity and led to a Nobel prize. In 2019, an array of telescopes spread across the globe took the first image of a […]

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Impact of technostress on well-being and job satisfaction in Global Virtual teams

This research project aims to examine the impact of stress related to technology use on the well-being and job satisfaction of employees working in Global Virtual Teams. With the increasing use of digital tools like Microsoft Teams and Zoom, these teams must constantly adapt to technological changes, which can cause stress and affect their well-being. […]

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Modèles prédictifs pour la transmission d’information à énergie minimale

Les codes de correction d’erreurs (ECC) sont utilisés dans la grande majorité des systèmes de transmission et de stockage de données puisqu’ils permettent une importante réduction de la puissance du signal émis (ou stocké), et permettent donc à l’émetteur de consommer moins d’énergie. Malheureusement, les bons codes de correction d’erreurs nécessitent une quantité importante d’énergie […]

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Caractérisation de micro-commutateurs MEMS pour des applications cryogéniques et quantique

Dans le cadre d’un projet de recherche, des micro-commutateurs MEMS ont été fabriqués sur une ligne de prototypage industrielle 200 mm. Ces dispositifs millimétriques sont compacts et consomment très peu d’énergie, ce qui les rend particulièrement intéressants pour des environnements cryogéniques nécessitant une dissipation de chaleur minimale. Ce projet vise à évaluer les performance et […]

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Metaverse plugin

Development of a system (template, plugin, API) to integrate cloud based services such as GIS, IoT and interactive gaming streams into a browser based user interface.

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Data collection and cross-domain representation models for trajectory analysis

Due to the vast amount of available tracking sensors in recent years, high-frequency and high-volume streams of data are generated every day. Such tracking sensors include but are not limited to vessel, airplane or vehicle tracking data, drones, smartwatches and smart bands as well as cameras and earth observation sensors. Despite the overabundance of data […]

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