A research team from Faculty of Engineering in Foreign Languages together with CAL2CAL US company (http://www.cal2cal.com/) and its Chairman Gora Datta (also in the board of directors California Southern University https://www.calsouthern.edu/board-of-directors/) are participating in a research regarding localising medical informatics standard (such as ISO/TC215, HL7 and IEEE 11073) for the special context of Romania. Research is led by Prof. Nicolae Goga and Associate Prof. Andrei Vasilateanu.
A team from Faculty of Engineering In Foreign Languages is participating in a research project in partnership with Aveti Learning US regarding the implementation of an intelligent engine (http://avetilearning.com/#/home) for an educational software based on visual mobile app education for a special ethnic group from India. For the work the following researchers and students are contributing: Nicolae Goga (researcher), Ramona Popa (researcher), Alexandru Mitrea (researcher), Andrei Vasilateanu (researcher), Morgan Asnar (Erasmus student) and Ovidiu Capraru (Master Student).
I-Light – A pervasive home monitoring system based on intelligent luminaires
(Eurostars Project E9770, UEFISCDI contract no. 46E/2015 / 09.12.2015)
The aim of this project is to develop a novel energy efficient luminaire equipped with an embedded sensing, indoor localisation and communications electronic system that enables a pervasive, seamless, and inexpensive home monitoring scheme.
This product will be defined as a next-generation intelligent LED bulb that includes an additional electronic core for environment interfacing, data acquisition and transmission. This novel solution will enable a set of services to prospective users/clients: telehealth applications, ambient assisted living, home rehabilitation applications, educational or training scenarios, or any other framework where long term pervasive monitoring is required.
More info: http://ilightproject.eu/en/home-page/
i-bracelet – Inteligent bracelet for blood pressure monitoring and detection of preeclampsia (Eurostars Project E10871, UEFISCDI contract no. 59/2017/30.06.2017)
The aim of this project is to develop a sensor system for the early detection of hypertensive disorders of pregnancy such as pre-eclampsia and other blood pressure as well. The system will consist of a bracelet that incorporates a pressure sensor for continuous recording of the blood pressure waveform across the wrist artery. The resulting data will be sent via wireless connection to a smart phone or a computer. A software application will be developed to predict early signs of disorders.
At present, and as far as we know, there is no system or approach similar to that envisioned in this proposal. The sensor system that we propose will be designed under the fact that it will be part of a wearable device, therefore, it will to be able to measure the blood pressure continuously and without the interference of a user. The development of a larger area sensing array will enable the achievement of these features.
More info: http://i-bracelet.eu/en/home-page/
PrEmISES -Multi-agent based middleware Providing Semantically-Enabled Information for SmES knowledge workers.
The aim of the PrEmISES project (Multi-agent based middleware Providing Semantically-Enabled Information for SmES knowledge workers) is to help SMEs to better exploit their information spaces. The solution will be developed as a software framework, which couples with legacy data systems (commonly used by SME) and will add semantically-enabled information integration, providing the employees with work process-embedded and context-sensitive information services.
The software framework provided by PrEmISES will lead to solutions which will benefit SMEs by:
More info: http://www.premises-project.eu/the-project/
Application for Using Image Data Mining and 3D Modelling in Dental Screening
Deploying an experimental pilot in a real clinical environment aimed at studying the effectiveness and applicability of the framework – in order to create the opportunity of confronting the project’s framework with real users able to provide essential feedback for advancing the solution towards a user-friendly and highly accurate clinical decision support platform
More info: http://aimms.osf-demo.com/